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ORCIDICASSP 2020: Barcelona, Spain
- 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020. IEEE 2020, ISBN 978-1-5090-6631-5
- Mohammad Alaee-Kerahroodi, Shankar Mysore Rama R. Bhavani, Kumar Vijay Mishra, Björn E. Ottersten:
Information Theoretic Approach for Waveform Design in Coexisting MIMO Radar and MIMO Communications. 1-5 - Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li:
Regression Before Classification for Temporal Action Detection. 1-5 - Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, Patrick Pérez:
This Dataset Does Not Exist: Training Models from Generated Images. 1-5 - Tsung-Han Hsieh, Kai-Hsiang Cheng, Zhe-Cheng Fan, Yu-Ching Yang, Yi-Hsuan Yang:
Addressing The Confounds Of Accompaniments In Singer Identification. 1-5 - Nicholas J. Bryan:
Impulse Response Data Augmentation and Deep Neural Networks for Blind Room Acoustic Parameter Estimation. 1-5 - Jongpil Lee, Nicholas J. Bryan, Justin Salamon
, Zeyu Jin, Juhan Nam:
Disentangled Multidimensional Metric Learning for Music Similarity. 6-10 - Vincent Lostanlen, Sripathi Sridhar, Brian McFee, Andrew Farnsworth, Juan Pablo Bello:
Learning the Helix Topology of Musical Pitch. 11-15 - Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Audio-Based Auto-Tagging With Contextual Tags for Music. 16-20 - Furkan Yesiler, Joan Serrà, Emilia Gómez:
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings. 21-25 - Chaoya Jiang, Deshun Yang, Xiaoou Chen:
Similarity Learning For Cover Song Identification Using Cross-Similarity Matrices of Multi-Level Deep Sequences. 26-30 - Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training On Learned Latent Targets. 31-35 - David Ditter, Timo Gerkmann:
A Multi-Phase Gammatone Filterbank for Speech Separation Via Tasnet. 36-40 - Naoya Takahashi, Mayank Kumar Singh, Sakya Basak, Sudarsanam Parthasaarathy, Sriram Ganapathy, Yuki Mitsufuji:
Improving Voice Separation by Incorporating End-To-End Speech Recognition. 41-45 - Yi Luo, Zhuo Chen, Takuya Yoshioka:
Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation. 46-50 - Christian Uhle, Matteo Torcoli, Jouni Paulus:
Controlling the Perceived Sound Quality for Dialogue Enhancement With Deep Learning. 51-55 - Masahito Togami, Yoshiki Masuyama, Tatsuya Komatsu, Yu Nakagome:
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function. 56-60 - Çagdas Bilen, Giacomo Ferroni, Francesco Tuveri, Juan Azcarreta, Sacha Krstulovic:
A Framework for the Robust Evaluation of Sound Event Detection. 61-65 - Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda:
Weakly-Supervised Sound Event Detection with Self-Attention. 66-70 - Thi Ngoc Tho Nguyen, Douglas L. Jones, Woon-Seng Gan:
A Sequence Matching Network for Polyphonic Sound Event Localization and Detection. 71-75 - Bowen Shi, Ming Sun, Krishna C. Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang:
Few-Shot Acoustic Event Detection Via Meta Learning. 76-80 - Yu Wang, Justin Salamon, Nicholas J. Bryan, Juan Pablo Bello:
Few-Shot Sound Event Detection. 81-85 - Romain Serizel, Nicolas Turpault, Ankit Parag Shah, Justin Salamon:
Sound Event Detection in Synthetic Domestic Environments. 86-90 - Fatemeh Pishdadian, Gordon Wichern, Jonathan Le Roux:
Learning to Separate Sounds from Weakly Labeled Scenes. 91-95 - Efthymios Tzinis, Scott Wisdom, John R. Hershey, Aren Jansen, Daniel P. W. Ellis:
Improving Universal Sound Separation Using Sound Classification. 96-100 - Qiuqiang Kong, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, Mark D. Plumbley:
Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis. 101-105 - Sunwoo Kim, Haici Yang, Minje Kim:
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation. 106-110 - Satoru Emura, Hiroshi Sawada, Shoko Araki, Noboru Harada:
A Frequency-Domain BSS Method Based on ℓ1 Norm, Unitary Constraint, and Cayley Transform. 111-115 - Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-To-End Non-Negative Autoencoders for Sound Source Separation. 116-120 - Aren Jansen, Daniel P. W. Ellis, Shawn Hershey, R. Channing Moore, Manoj Plakal, Ashok C. Popat, Rif A. Saurous:
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. 121-125 - Truc Nguyen, Franz Pernkopf, Michal Kosmider:
Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. 126-130 - Nicolas Turpault, Romain Serizel, Emmanuel Vincent:
Limitations of Weak Labels for Embedding and Tagging. 131-135 - Harsh Shrivastava, Yifang Yin, Rajiv Ratn Shah, Roger Zimmermann:
Mt-Gcn For Multi-Label Audio Tagging With Noisy Labels. 136-140 - Mark D. McDonnell, Wei Gao:
Acoustic Scene Classification Using Deep Residual Networks with Late Fusion of Separated High and Low Frequency Paths. 141-145 - Mohammad K. Ebrahimpour, Timothy M. Shea, Andreea Danielescu, David C. Noelle, Christopher T. Kello:
End-To-End Auditory Object Recognition Via Inception Nucleus. 146-150 - Maximilian Kentgens, Andreas Behler, Peter Jax:
Translation of a Higher Order Ambisonics Sound Scene Based on Parametric Decomposition. 151-155 - Diego Di Carlo, Clement Elvira, Antoine Deleforge, Nancy Bertin, Rémi Gribonval:
Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. 156-160 - Hannes Helmholz, Jens Ahrens, David L. Alon, Sebastià V. Amengual Garí, Ravish Mehra:
Evaluation of Sensor Self-Noise In Binaural Rendering of Spherical Microphone Array Signals. 161-165 - Kentaro Ariga, Tomoya Nishida, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Mutual-Information-Based Sensor Placement for Spatial Sound Field Recording. 166-170 - Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi:
Fast Acoustic Scattering Using Convolutional Neural Networks. 171-175 - Benoit Alary, Archontis Politis:
Frequency-Dependent Directional Feedback Delay Network. 176-180 - Yuma Koizumi, Kohei Yatabe, Marc Delcroix, Yoshiki Masuyama, Daiki Takeuchi:
Speech Enhancement Using Self-Adaptation and Multi-Head Self-Attention. 181-185 - Vincent W. Neo, Christine Evers, Patrick A. Naylor:
PEVD-Based Speech Enhancement in Reverberant Environments. 186-190 - Marvin Tammen, Dörte Fischer, Bernd T. Meyer, Simon Doclo:
DNN-Based Speech Presence Probability Estimation for Multi-Frame Single-Microphone Speech Enhancement. 191-195 - Kristina Tesch, Timo Gerkmann:
Nonlinear Spatial Filtering for Multichannel Speech Enhancement in Inhomogeneous Noise Fields. 196-200 - Heinrich W. Löllmann, Andreas Brendel, Walter Kellermann:
Generalized Coherence-Based Signal Enhancement. 201-205 - Soumi Maiti, Michael I. Mandel:
Speaker Independence of Neural Vocoders and Their Effect on Parametric Resynthesis Speech Enhancement. 206-210 - Gongping Huang, Jacob Benesty, Jingdong Chen, Israel Cohen:
Robust and steerable kronecker product differential beamforming With rectangular microphone arrays. 211-215 - Christoph Böddeker, Tomohiro Nakatani, Keisuke Kinoshita, Reinhold Haeb-Umbach:
Jointly Optimal Dereverberation and Beamforming. 216-220 - Szymon Wozniak, Konrad Kowalczyk:
Exploiting Rays in Blind Localization of Distributed Sensor Arrays. 221-225 - Noman Akbar, Glenn Dickins, Mark R. P. Thomas, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
A Novel Method for Obtaining Diffuse Field Measurements for Microphone Calibration. 226-230 - Masahito Togami:
Multi-Channel Speech Source Separation and Dereverberation With Sequential Integration of Determined and Underdetermined Models. 231-235 - Robin Scheibler, Nobutaka Ono:
Fast and Stable Blind Source Separation with Rank-1 Updates. 236-240 - Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss:
Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network. 241-245 - Sanna Wager, George Tzanetakis, Cheng-i Wang, Minje Kim:
Deep Autotuner: A Pitch Correcting Network for Singing Performances. 246-250 - Alec Wright, Vesa Välimäki:
Perceptual loss function for neural modeling of audio systems. 251-255 - Stylianos I. Mimilakis, Nicholas J. Bryan, Paris Smaragdis:
One-Shot Parametric Audio Production Style Transfer with Application to Frequency Equalization. 256-260 - Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang:
Speech-To-Singing Conversion in an Encoder-Decoder Framework. 261-265 - Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons, Xavier Serra:
Tensorflow Audio Models in Essentia. 266-270 - Kaori Suefusa, Tomoya Nishida, Harsh Purohit, Ryo Tanabe, Takashi Endo, Yohei Kawaguchi:
Anomalous Sound Detection Based on Interpolation Deep Neural Network. 271-275 - Wei Wei, Hongning Zhu, Emmanouil Benetos, Ye Wang:
A-CRNN: A Domain Adaptation Model for Sound Event Detection. 276-280 - Yuma Koizumi, Masahiro Yasuda, Shin Murata, Shoichiro Saito, Hisashi Uematsu, Noboru Harada:
SPIDERnet: Attention Network For One-Shot Anomaly Detection In Sounds. 281-285 - Yanxiong Li, Mingle Liu, Konstantinos Drossos, Tuomas Virtanen:
Sound Event Detection Via Dilated Convolutional Recurrent Neural Networks. 286-290 - Manjunath Mulimani, Akash B. Kademani, Shashidhar G. Koolagudi:
A Deep Neural Network-Driven Feature Learning Method for Polyphonic Acoustic Event Detection from Real-Life Recordings. 291-295 - Sixin Hong, Yuexian Zou, Wenwu Wang, Meng Cao:
Weakly Labelled Audio Tagging Via Convolutional Networks with Spatial and Channel-Wise Attention. 296-300 - Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler:
A Study on the Transferability of Adversarial Attacks in Sound Event Classification. 301-305 - Mahiout Thomas, Fillatre Lionel, Deruaz-Pepin Laurent:
Propeller Noise Detection with Deep Learning. 306-310 - Heinrich Dinkel, Kai Yu:
Duration Robust Weakly Supervised Sound Event Detection. 311-315 - Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang:
A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification. 316-320 - Yiwei Sun, Shabnam Ghaffarzadegan:
An Ontology-Aware Framework for Audio Event Classification. 321-325 - Jie Yan, Yan Song, Li-Rong Dai, Ian McLoughlin:
Task-Aware Mean Teacher Method for Large Scale Weakly Labeled Semi-Supervised Sound Event Detection. 326-330 - Andrew A. Catellier, Stephen D. Voran:
Wawenets: A No-Reference Convolutional Waveform-Based Approach to Estimating Narrowband and Wideband Speech Quality. 331-335 - Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen:
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. 336-340 - Roy Fejgin, Janusz Klejsa, Lars F. Villemoes, Cong Zhou:
Source Coding of Audio Signals with a Generative Model. 341-345 - Gabriel Mittag, Sebastian Möller:
Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks. 346-350 - Seong-Hyeon Shin, Seungkwon Beack, Wootaek Lim, Hochong Park:
Enhanced Method of Audio Coding Using CNN-Based Spectral Recovery with Adaptive Structure. 351-355 - Arijit Biswas, Dai Jia:
Audio Codec Enhancement with Generative Adversarial Networks. 356-360 - Kai Zhen, Mi Suk Lee, Jongmo Sung, Seungkwon Beack, Minje Kim:
Efficient and Scalable Neural Residual Waveform Coding with Collaborative Quantization. 361-365 - Kai Zhen, Mi Suk Lee, Minje Kim:
A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement. 366-370 - Simon Leglaive, Xavier Alameda-Pineda, Laurent Girin, Radu Horaud:
A Recurrent Variational Autoencoder for Speech Enhancement. 371-375 - Shulin He, Hao Li, Xueliang Zhang:
Speakerfilter: Deep Learning-Based Target Speaker Extraction Using Anchor Speech. 376-380 - Keisuke Kinoshita, Marc Delcroix, Shoko Araki, Tomohiro Nakatani:
Tackling Real Noisy Reverberant Meetings with All-Neural Source Separation, Counting, and Diarization System. 381-385 - Tomohiko Nakamura, Hiroshi Saruwatari:
Time-Domain Audio Source Separation Based on Wave-U-Net Combined with Discrete Wavelet Transform. 386-390 - Simone Spagnol:
Auditory Model Based Subsetting of Head-Related Transfer Function Datasets. 391-395 - Mengfan Zhang, Xihong Wu, Tianshu Qu:
Individual Distance-Dependent HRTFS Modeling Through A Few Anthropometric Measurements. 401-405 - Amir Ivry, Israel Cohen, Baruch Berdugo:
Evaluation of Deep-Learning-Based Voice Activity Detectors and Room Impulse Response Models in Reverberant Environments. 406-410 - Michele Geronazzo, Jason-Yves Tissieres, Stefania Serafin:
A Minimal Personalization of Dynamic Binaural Synthesis with Mixed Structural Modeling and Scattering Delay Networks. 411-415 - Hugo Caracalla, Axel Roebel:
Sound Texture Synthesis Using RI Spectrograms. 416-420 - Jérôme Daniel, Srdan Kitic:
Time Domain Velocity Vector for Retracing the Multipath Propagation. 421-425 - Jiaqi Su, Zeyu Jin, Adam Finkelstein:
Acoustic Matching By Embedding Impulse Responses. 426-430 - David Looney, Nikolay D. Gaubitch:
Joint Estimation Of Acoustic Parameters From Single-Microphone Speech Observations. 431-435 - Liming Shi, Taewoong Lee, Lijun Zhang, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
A Fast Reduced-Rank Sound Zone Control Algorithm Using The Conjugate Gradient Method. 436-440 - Meng Guo:
An Empirical Study on Acoustic Feedback Path Across Hearing Aid Users. 441-445 - Ofer Schwartz, Emanuël A. P. Habets, Sharon Gannot:
Low Complexity NLMS for Multiple Loudspeaker Acoustic ECHO Canceller Using Relative Loudspeaker Transfer Functions. 446-450 - Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings. 451-455 - Johannes Fabry, Peter Jax:
Primary Path Estimator Based on Individual Secondary Path for ANC Headphones. 456-460 - Mhd Modar Halimeh, Walter Kellermann:
Efficient Multichannel Nonlinear Acoustic Echo Cancellation Based on a Cooperative Strategy. 461-465 - Meiling Hu, Jing Lu:
Active Control of Line Spectral Noise with Simultaneous Secondary Path Modeling Without Auxiliary Noise. 466-470 - Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu:
Robust Frequency-Domain Recursive Least M-Estimate Adaptive Filter For Acoustic System Identification. 471-475 - Sankha Subhra Bhattacharjee, Nithin V. George:
Nearest Kronecker Product Decomposition Based Normalized Least Mean Square Algorithm. 476-480 - Sahar Hashemgeloogerdi, Sebastian Braun:
Joint Beamforming and Reverberation Cancellation Using a Constrained Kalman Filter With Multichannel Linear Prediction. 481-485 - Zhong-Qiu Wang, DeLiang Wang:
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation. 486-490 - Hannes Gamper, Dimitra Emmanouilidou, Sebastian Braun, Ivan J. Tashev:
Predicting Word Error Rate for Reverberant Speech. 491-495 - Chitralekha Gupta, Emre Yilmaz, Haizhou Li:
Automatic Lyrics Alignment and Transcription in Polyphonic Music: Does Background Music Help? 496-500 - Hendrik Schreiber, Christof Weiß, Meinard Müller:
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise. 501-505 - Fabrizio Pedersoli, George Tzanetakis, Kwang Moo Yi:
Improving Music Transcription by Pre-Stacking A U-Net. 506-510 - Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to Rank Music Tracks Using Triplet Loss. 511-515 - Junyan Jiang, Gus Xia, Dave B. Carlton, Chris N. Anderson, Ryan H. Miyakawa:
Transformer VAE: A Hierarchical Model for Structure-Aware and Interpretable Music Representation Learning. 516-520 - Jianyu Fan, Yi-Hsuan Yang, Kui Dong, Philippe Pasquier:
A Comparative Study of Western and Chinese Classical Music Based on Soundscape Models. 521-525 - Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Audio-Based Detection of Explicit Content in Music. 526-530 - Johanna Devaney:
New Metrics for Evaluating the Accuracy of Fundamental Frequency Estimation Approaches in Musical Signals. 531-535 - Minz Won, Sanghyuk Chun, Oriol Nieto, Xavier Serra:
Data-Driven Harmonic Filters for Audio Representation Learning. 536-540 - Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang:
Learning a Representation for Cover Song Identification Using Convolutional Neural Network. 541-545 - T. J. Tsai:
Towards Linking the Lakh and IMSLP Datasets. 546-550 - Ping Gao, Cheng-You You, Tai-Shih Chi:
A Multi-Dilation and Multi-Resolution Fully Convolutional Network for Singing Melody Extraction. 551-555 - Xudong Zhao, Gongping Huang, Jingdong Chen, Jacob Benesty:
An Improved Solution to the Frequency-Invariant Beamforming with Concentric Circular Microphone Arrays. 556-560 - Ryan M. Corey, Andrew C. Singer:
Binaural Audio Source Remixing with Microphone Array Listening Devices. 561-565 - Reza Varzandeh, Kamil Adiloglu, Simon Doclo, Volker Hohmann:
Exploiting Periodicity Features for Joint Detection and DOA Estimation of Speech Sources Using Convolutional Neural Networks. 566-570 - Yonggang Hu, Prasanga N. Samarasinghe, Thushara D. Abhayapala, Sharon Gannot:
Unsupervised Multiple Source Localization Using Relative Harmonic Coefficients. 571-575 - Daniele Mirabilii, Kishor Kayyar Lakshminarayana, Wolfgang Mack, Emanuël A. P. Habets:
Data-Driven Wind Speed Estimation Using Multiple Microphones. 576-580 - Christopher Schymura, Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki, Dorothea Kolossa:
A Dynamic Stream Weight Backprop Kalman Filter for Audiovisual Speaker Tracking. 581-585 - Elior Hadad, Sharon Gannot:
Maximum Likelihood Multi-Speaker Direction of Arrival Estimation Utilizing a Weighted Histogram. 586-590 - Rintaro Ikeshita, Tomohiro Nakatani, Shoko Araki:
Overdetermined Independent Vector Analysis. 591-595 - Andreas Brendel, Thomas Haubner, Walter Kellermann:
Spatially Guided Independent Vector Analysis. 596-600 - Robin Scheibler, Nobutaka Ono:
Fast Independent Vector Extraction by Iterative SINR Maximization. 601-605 - Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo:
Regularized Fast Multichannel Nonnegative Matrix Factorization with ILRMA-Based Prior Distribution of Joint-Diagonalization Process. 606-610 - Jan Baumann, Timo Lohrenz, Alexander Roy, Tim Fingscheidt:
Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. 611-615 - Kazuki Shimada, Yuichiro Koyama, Akira Inoue:
Metric Learning with Background Noise Class for Few-Shot Detection of Rare Sound Events. 616-620 - Keisuke Imoto, Noriyuki Tonami, Yuma Koizumi, Masahiro Yasuda, Ryosuke Yamanishi, Yoichi Yamashita:
Sound Event Detection by Multitask Learning of Sound Events and Scenes with Soft Scene Labels. 621-625 - Liwei Lin, Xiangdong Wang, Hong Liu, Yueliang Qian:
Guided Learning for Weakly-Labeled Semi-Supervised Sound Event Detection. 626-630 - Kexin He, Yuhan Shen, Wei-Qiang Zhang, Jia Liu:
Staged Training Strategy and Multi-Activation for Audio Tagging with Noisy and Sparse Multi-Label Data. 631-635 - Turab Iqbal, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Learning With Out-of-Distribution Data for Audio Classification. 636-640 - Yuxin Huang, Xiangdong Wang, Liwei Lin, Hong Liu, Yueliang Qian:
Multi-Branch Learning for Weakly-Labeled Sound Event Detection. 641-645 - Tatsuya Komatsu, Keisuke Imoto, Masahito Togami:
Scene-Dependent Acoustic Event Detection with Scene Conditioning and Fake-Scene-Conditioned Loss. 646-650 - Masahiro Yasuda, Yuma Koizumi, Shoichiro Saito, Hisashi Uematsu, Keisuke Imoto:
Sound Event Localization Based on Sound Intensity Vector Refined by Dnn-Based Denoising and Source Separation. 651-655 - Xue Bai, Jun Du, Jia Pan, Hengshun Zhou, Yanhui Tu, Chin-Hui Lee:
High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification. 656-660 - Chandra Churh Chatterjee, Manjunath Mulimani, Shashidhar G. Koolagudi:
Polyphonic Sound Event Detection Using Transposed Convolutional Recurrent Neural Network. 661-665 - Anurag Kumar, Vamsi Krishna Ithapu:
SeCoST: : Sequential Co-Supervision for Large Scale Weakly Labeled Audio Event Detection. 666-670 - Yu Nakagome, Masahito Togami, Tetsuji Ogawa, Tetsunori Kobayashi:
Deep Speech Extraction with Time-Varying Spatial Filtering Guided By Desired Direction Attractor. 671-675 - Jakub Janský, Jirí Málek, Jaroslav Cmejla, Tomás Kounovský, Zbynek Koldovský, Jindrich Zdánský:
Adaptive Blind Audio Source Extraction Supervised By Dominant Speaker Identification Using X-Vectors. 676-680 - Tatsuki Kondo, Kanta Fukushige, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Rintaro Ikeshita, Tomohiro Nakatani:
Convergence-Guaranteed Independent Positive Semidefinite Tensor Analysis Based on Student's T Distribution. 681-685 - Yuki Takahashi, Daichi Kitahara, Koichiro Matsuura, Akira Hirabayashi:
Determined Source Separation Using the Sparsity of Impulse Responses. 686-690 - Marc Delcroix, Tsubasa Ochiai, Katerina Zmolíková, Keisuke Kinoshita, Naohiro Tawara, Tomohiro Nakatani, Shoko Araki:
Improving Speaker Discrimination of Target Speech Extraction With Time-Domain Speakerbeam. 691-695 - Matthew Maciejewski, Gordon Wichern, Emmett McQuinn, Jonathan Le Roux:
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation. 696-700 - Aníbal J. S. Ferreira, João Silva, Francisca Brito, Deepen Sinha:
Impact of a Shift-Invariant Harmonic Phase Model in Fully Parametric Harmonic Voice Representation and Time/Frequency Synthesis. 701-705 - Andreas Hüwel, Kamil Adiloglu, Jörg-Hendrik Bach:
Hearing aid Research Data Set for Acoustic Environment Recognition. 706-710 - Luca Becker, Alexandru Nelus, Johannes Gauer, Lars Rudolph, Rainer Martin:
Audio Feature Extraction for Vehicle Engine Noise Classification. 711-715 - Yuzhong Wu, Tan Lee:
Time-Frequency Feature Decomposition Based on Sound Duration for Acoustic Scene Classification. 716-720 - Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
Vggsound: A Large-Scale Audio-Visual Dataset. 721-725 - Enis Berk Çoban, Dara Pir, Richard So, Michael I. Mandel:
Transfer Learning from Youtube Soundtracks to Tag Arctic Ecoacoustic Recordings. 726-730 - Gue-Hwan Nam, Seok-Jun Bu, Namu Park, Jae-Yong Seo, Hyeon-Cheol Jo, Won-Tae Jeong:
Data Augmentation Using Empirical Mode Decomposition on Neural Networks to Classify Impact Noise in Vehicle. 731-735 - Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen:
Clotho: an Audio Captioning Dataset. 736-740 - Alfredo Esquivel Jaramillo, Andreas Jakobsson, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Robust Fundamental Frequency Estimation in Coloured Noise. 741-745 - Alexandru-Marius Solomes, Dan Stowell:
Efficient Bird Sound Detection on the Bela Embedded System. 746-750 - Oberon Berlage, Klaus-Michael Lux, David Graus:
Improving Automated Segmentation of Radio Shows with Audio Embeddings. 751-755 - Mathilde Brousmiche, Jean Rouat, Stéphane Dupont:
SECL-UMons Database for Sound Event Classification and Localization. 756-760 - Sandeep Kothinti, Benjamin Skerritt-Davis, Aditya Nair, Mounya Elhilali:
Synthesizing Engaging Music Using Dynamic Models of Statistical Surprisal. 761-765 - Yixin Wang, Xiaohong Guan, Youtian Du, Nan Nan:
Harmonics Based Representation in Clarinet Tone Quality Evaluation. 766-770 - Ethan Manilow, Prem Seetharaman, Bryan Pardo:
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments. 771-775 - Timothy Greer, Karel Mundnich, Matthew E. Sachs, Shrikanth Narayanan:
The Role of Annotation Fusion Methods in the Study of Human-Reported Emotion Experience During Music Listening. 776-780 - Pritish Chandna, Merlijn Blaauw, Jordi Bonada, Emilia Gómez:
Content Based Singing Voice Extraction from a Musical Mixture. 781-785 - António Ramires, Pritish Chandna, Xavier Favory, Emilia Gómez, Xavier Serra:
Neural Percussive Synthesis Parameterised by High-Level Timbral Features. 786-790 - Ryusei Nakatsu, Daichi Kitahara, Akira Hirabayashi:
Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram. 791-795 - Krishna Subramani, Preeti Rao, Alexandre D'Hooge:
Vapar Synth - A Variational Parametric Model for Audio Synthesis. 796-800 - Mathieu Lagrange, Félix Gontier:
Bandwidth Extension of Musical Audio Signals With No Side Information Using Dilated Convolutional Neural Networks. 801-805 - Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. 806-810 - Venkata Subramanian Viraraghavan, Arpan Pal, Hema A. Murthy, Rangarajan Aravind:
State-Based Transcription of Components of Carnatic Music. 811-815 - David Samuel, Aditya Ganeshan, Jason Naradowsky:
Meta-Learning Extractors for Music Source Separation. 816-820 - Yoshiki Masuyama, Masahito Togami, Tatsuya Komatsu:
Consistency-Aware Multi-Channel Speech Enhancement Using Deep Neural Networks. 821-825 - Yoshiki Masuyama, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Phase Reconstruction Based On Recurrent Phase Unwrapping With Deep Neural Networks. 826-830 - Samuel Sonning, Christian Schüldt, Hakan Erdogan, Scott Wisdom:
Performance Study of a Convolutional Time-Domain Audio Separation Network for Real-Time Speech Denoising. 831-835 - Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy:
Channel-Attention Dense U-Net for Multichannel Speech Enhancement. 836-840 - Yochai Yemini, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
A Composite DNN Architecture for Speech Enhancement. 841-845 - Li Li, Kazuhito Koishida:
Geometrically Constrained Independent Vector Analysis for Directional Speech Enhancement. 846-850 - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Real-Time Speech Enhancement Using Equilibriated RNN. 851-855 - Dörte Fischer, Simon Doclo:
Subspace-Based Speech Correlation Vector Estimation for Single-Microphone Multi-Frame MVDR Filtering. 856-860 - Heming Wang, DeLiang Wang:
Time-Frequency Loss for CNN Based Speech Super-Resolution. 861-865 - Xiang Hao, Chenglin Xu, Nana Hou, Lei Xie, Eng Siong Chng, Haizhou Li:
Time-Domain Neural Network Approach for Speech Bandwidth Extension. 866-870 - Yangyang Xia, Sebastian Braun, Chandan K. A. Reddy, Harishchandra Dubey, Ross Cutler, Ivan Tashev:
Weighted Speech Distortion Losses for Neural-Network-Based Real-Time Speech Enhancement. 871-875 - Hector E. Romero, Ning Ma, Guy J. Brown:
Snorer Diarisation Based On Deep Neural Network Embeddings. 876-880 - Changhong Wang, Vincent Lostanlen, Emmanouil Benetos, Elaine Chew:
Playing Technique Recognition by Joint Time-Frequency Scattering. 881-885 - Félix Gontier, Mathieu Lagrange, Catherine Lavandier, Jean-François Petiot:
Privacy Aware Acoustic Scene Synthesis Using Deep Spectral Feature Inversion. 886-890 - Mario Madruga, Yolanda Campos-Roca, Carlos J. Pérez:
Robustness Assessment of Automatic Reinke's Edema Diagnosis Systems. 891-895 - Matt Whitehill, Jake Garrison, Shwetak N. Patel:
Whosecough: In-the-Wild Cougher Verification Using Multitask Learning. 896-900 - Jason Cramer, Vincent Lostanlen, Andrew Farnsworth, Justin Salamon, Juan Pablo Bello:
Chirping up the Right Tree: Incorporating Biological Taxonomies into Deep Bioacoustic Classifiers. 901-905 - Boqiang Fan, Wayne K. Goodman, Raymond Y. Cho, Sameer A. Sheth, Richard R. Bouchard, Behnaam Aazhang:
Beamforming Design for High-Resolution Low-Intensity Focused Ultrasound Neuromodulation. 906-910 - Xuan Dong, Donald S. Williamson:
An Attention Enhanced Multi-Task Model for Objective Speech Assessment in Real-World Environments. 911-915 - Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts:
Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. 916-920 - Sachiko Kurihara, Masahiro Fukui, Suehiro Shimauchi, Noboru Harada:
Subjective Quality Estimation Using PESQ For Hands-Free Terminals. 921-925 - Xuyang Zhao, Jordi Solé-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka, Qibin Zhao:
Classification of Epileptic IEEG Signals by CNN and Data Augmentation. 926-930 - Touseef Yaqoob, Saira Aziz, Sajid Ahmed, Osama Amin, Mohamed-Slim Alouini:
Fractional Fourier Transform Based QRS Complex Detection in ECG Signal. 931-935 - Xin Tian, Qiang Zhu, Yuenan Li, Min Wu:
Cross-Domain Joint Dictionary Learning for ECG Reconstruction from PPG. 936-940 - Mohammad Jalilpour-Monesi, Bernd Accou, Jair Montoya-Martínez, Tom Francart, Hugo Van hamme:
An LSTM Based Architecture to Relate Speech Stimulus to Eeg. 941-945 - Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. 946-950 - Zheng Cao, Jialin Shi, Ji Wu:
Reversal No Longer Matters: Attention-Based Arrhythmia Detection with Lead-Reversal ECG Data. 951-955 - Daniel de Marchi, Amarjit Budhiraja:
Augmenting Molecular Images with Vector Representations as a Featurization Technique for Drug Classification. 956-960 - Álvaro S. Hervella, Lucía Ramos, José Rouco, Jorge Novo, Marcos Ortega:
Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images. 961-965 - Antoine Salomon, Cesar Augusto Valades-Cruz, Ludovic Leconte, Charles Kervrann:
Dense Mapping of Intracellular Diffusion and Drift from Single-Particle Tracking Data Analysis. 966-970 - Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang:
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. 971-975 - Zhu Meng, Zhicheng Zhao, Fei Su, Weibao Wang:
Adaptive Elastic Loss Based on Progressive Inter-Class Association for Cervical Histology Image Segmentation. 976-980 - Meng Yan, Qing Liu, Zhihua Yin, Du Wang, Yixiong Liang:
A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images. 981-985 - Rafael Henrique Vareto, Araceli Marcia Saldanha, William Robson Schwartz:
The Swax Benchmark: Attacking Biometric Systems with Wax Figures. 986-990 - Matthew King-Hang Ma, Tan Lee, Manson Cheuk-Man Fong, William Shi-Yuan Wang:
Resting-State EEG-Based Biometrics with Signals Features Extracted by Multivariate Empirical Mode Decomposition. 991-995 - Zitong Yu, Yunxiao Qin, Xiaqing Xu, Chenxu Zhao, Zezheng Wang, Zhen Lei, Guoying Zhao:
Auto-Fas: Searching Lightweight Networks for Face Anti-Spoofing. 996-1000 - Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel:
Domain Adaptation for Generalization of Face Presentation Attack Detection in Mobile Settengs with Minimal Information. 1001-1005 - Caiyong Wang, Yunlong Wang, Boqiang Xu, Yong He, Zhiwei Dong, Zhenan Sun:
A Lightweight Multi-Label Segmentation Network for Mobile Iris Biometrics. 1006-1010 - Tiantian Feng, Shrikanth S. Narayanan:
Modeling Behavioral Consistency in Large-Scale Wearable Recordings of Human Bio-Behavioral Signals. 1011-1015 - Tiantian Feng, Brandon M. Booth, Shrikanth S. Narayanan:
Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study. 1016-1020 - Amine Haboub, Hamza Baali, Abdesselam Bouzerdoum:
Multichannel Signal Classification Using Vector Autoregression. 1021-1025 - Muzammil Saeed, Clive Cheong Took, Stephen R. Alty:
Efficient Algorithm to Implement Sliding Singular Spectrum Analysis with Application to Biomedical Signal Denoising. 1026-1029 - Jonathan Martinez, Ali Akbari, Kaan Sel, Roozbeh Jafari:
Strategic Attention Learning for Modality Translation. 1030-1034 - Aimin Jiang, Jing Shang, Weigao Cheng, Xiaofeng Liu, Hon Keung Kwan, Yanping Zhu:
Sparse CSP Algorithm via Joint Spatio-Temporal Filtering. 1035-1039 - Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. 1040-1044 - Puneet Mathur, Mehak Piplani, Ramit Sawhney, Amit Jindal, Rajiv Ratn Shah:
Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification. 1045-1049 - Xuran Zhao, Luyang Yu, Xun Wang:
Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms. 1050-1054 - Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. 1055-1059 - Rui Xu, Zhen Cong, Xinchen Ye, Shoji Kido, Noriyuki Tomiyama:
Unsupervised Content-Preserved Adaptation Network for Classification of Pulmonary Textures from Different CT Scanners. 1060-1064 - Yaowei Li, Donghao Gu, Zhaojing Wen, Feng Jiang, Shaohui Liu:
Classify and Explain: An Interpretable Convolutional Neural Network For Lung Cancer Diagnosis. 1065-1069 - Yanan Lv, Xi Chen, Chang Shu, Hua Han:
Robust Global Optimized Affine Registration Method for Microscopic Images of Biological Tissue. 1070-1074 - Sylvain Prigent, Stephanie Dutertre, Charles Kervrann:
Empirical Sure-Guided Microscopy Super-Resolution Image Reconstruction from Confocal Multi-Array Detectors. 1075-1079 - Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López:
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. 1080-1084 - Rui Xu, Xinchen Ye, Guiliang Jiang, Tiantian Liu, Liang Li, Satoshi Tanaka:
Retinal Vessel Segmentation via a Semantics and Multi-Scale Aggregation Network. 1085-1089 - Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans:
Adaptive Matched Filter using Non-Target Free Training Data. 1090-1094 - Jan Dorazil, Rene Repp, Thomas Kropfreiter, Richard Prüller, Kamil Ríha, Franz Hlawatsch:
Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion. 1095-1099 - Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using The Parafac2 Model. 1100-1104 - Xiaoyu Qiao, Jinglong Du, Lulu Wang, Zhongshi He, Yuanyuan Jia:
A Model-Based Deep Network for MRI Reconstruction Using Approximate Message Passing Algorithm. 1105-1109 - Yen-Huan Li:
Online Positron Emission Tomography By Online Portfolio Selection. 1110-1114 - Shubham Sharma, K. V. S. Hari, Geert Leus:
Space Filling Curves for MRI Sampling. 1115-1119 - Shubham Sharma, K. V. S. Hari, Geert Leus:
K-Space Trajectory Design for Reduced MRI Scan Time. 1120-1124 - Shishira R. Maiya, Puneet Mathur:
Rethinking Retinal Landmark Localization as Pose Estimation: Naïve Single Stacked Network for Optic Disk and Fovea Detection. 1125-1129 - Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund:
Hidden Markov Models for Sepsis Detection in Preterm Infants. 1130-1134 - Oded Schlesinger, Nitai Vigderhouse, Danny Eytan, Yair Moshe:
Blood Pressure Estimation From PPG Signals Using Convolutional Neural Networks And Siamese Network. 1135-1139 - Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik:
Speech Breathing Estimation Using Deep Learning Methods. 1140-1144 - Zengyang Mei, Qisong Wu, Zhengyu Hu, Jun Tao:
A Fast Non-Contact Vital Signs Detection Method Based on Regional Hidden Markov Model in A 77ghz Lfmcw Radar System. 1145-1149 - Aref Miri Rekavandi, Abd-Krim Seghouane, Robin J. Evans:
Robust Likelihood Ratio Test Using α-Divergence. 1150-1154 - Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Using X-Vectors to Automatically Detect Parkinson's Disease from Speech. 1155-1159 - Parinthorn Manomaisaowapak, Jitkomut Songsiri:
Learning A Common Granger Causality Network Using A Non-Convex Regularization. 1160-1164 - Sakyajit Bhattacharya, Oishee Mazumder, Dibyendu Roy, Aniruddha Sinha, Avik Ghose:
Synthetic Data Generation Through Statistical Explosion: Improving Classification Accuracy of Coronary Artery Disease Using PPG. 1165-1169 - Yibin Tang, Xufei Li, Ying Chen, Yuan Zhong, Aimin Jiang, Xiaofeng Liu:
High-Accuracy Classification of Attention Deficit Hyperactivity Disorder with L2, 1-Norm Linear Discriminant Analysis. 1170-1174 - Jasper Wouters, Fabian Kloosterman, Alexander Bertrand:
A Neural Network-Based Spike Sorting Feature Map That Resolves Spike Overlap in the Feature Space. 1175-1179 - Tze-Shen Chen, Ting-Ya Lin, Y.-W. Peter Hong:
Gait Phase Segmentation Using Weighted Dynamic Time Warping and K-Nearest Neighbors Graph Embedding. 1180-1184 - Siddharth Subramani, M. V. Achuth Rao, Divya Giridhar, Prasanna Suresh Hegde, Prasanta Kumar Ghosh:
Automatic Classification of Volumes of Water Using Swallow Sounds from Cervical Auscultation. 1185-1189 - Ya-Lin Huang, Wan-Ting Hsieh, Hao-Chun Yang, Chi-Chun Lee:
Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI. 1190-1194 - Saeid Sanei, Clive Cheong Took, Delaram Jarchi, Ales Procházka:
Eeg Connectivity - Informed Cooperative Adaptive Line Enhancer for Recognition of Brain State. 1195-1199 - Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. 1200-1204 - Amir Aminifar:
Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study. 1205-1209 - Shouvik Majumder, Fabio Apicella, Filippo Muratori, Koel Das:
Detecting Autism Spectrum Disorder Using Topological Data Analysis. 1210-1214 - Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama:
Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. 1215-1219 - David D'Croz-Baron, Mary C. Baker, Tanja Karp:
Time-Frequency Analysis of Unimodal Sensory Processing In Autism Spectrum Disorder. 1220-1224 - Poomipat Boonyakitanont, Apiwat Lek-Uthai, Jitkomut Songsiri:
Automatic Epileptic Seizure Onset-Offset Detection Based On CNN in Scalp EEG. 1225-1229 - Danyang Wang, Yuchun Fang, Yifan Li, Changfeng Chai:
Enhance feature representation of electroencephalogram for Seizure detection. 1230-1234 - Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik:
Speech Synthesis Using EEG. 1235-1238 - Xueyuan Xu, Fulin Wei, Zhiyuan Zhu, Jianhong Liu, Xia Wu:
Eeg Feature Selection Using Orthogonal Regression: Application to Emotion Recognition. 1239-1243 - Takahiko Sakai, Taku Shoji, Noboru Yoshida, Kosuke Fukumori, Yuichi Tanaka, Toshihisa Tanaka:
Scalpnet: Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG Using Convolutional Neural Networks. 1244-1248 - Rohan Banerjee, Avik Ghose:
A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder. 1249-1253 - RaviShankar Prasad, Gürkan Yilmaz, Olivier Chételat, Mathew Magimai-Doss:
Detection Of S1 And S2 Locations In Phonocardiogram Signals Using Zero Frequency Filter. 1254-1258 - Lin Yao, Jonathan L. Baker, Jae-Wook Ryou, Nicholas D. Schiff, Keith P. Purpura, Mahsa Shoaran:
Mental Fatigue Prediction from Multi-Channel ECOG Signal. 1259-1263 - Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier:
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. 1264-1268 - Yi-Huan Chen, A. Husain Twing, Diaa Badawi, Joseph Danavi, Mark McCauley, A. Enis Çetin:
Atrial Fibrillation Risk Prediction from Electrocardiogram and Related Health Data with Deep Neural Network. 1269-1273 - Ming Chen, Guijin Wang, Hui Chen, Zijian Ding:
Adaptive Region Aggregation Network: Unsupervised Domain Adaptation with Adversarial Training for ECG Delineation. 1274-1278 - Tamanna T. K. Munia, Selin Aviyente:
Matching Pursuit Based Dynamic Phase-Amplitude Coupling Measure. 1279-1283 - Rachele Anderson, Maria Sandsten:
Multitaper Spectral Granger Causality with Application to Ssvep. 1284-1288 - Eugene Lee, Annie Ho, Yi-Ting Wang, Cheng-Han Huang, Chen-Yi Lee:
Cross-Domain Adaptation for Biometric Identification Using Photoplethysmogram. 1289-1293 - Ehsanul Haque Nirjhar, Amir H. Behzadan, Theodora Chaspari:
Exploring Bio-Behavioral Signal Trajectories of State Anxiety During Public Speaking. 1294-1298 - Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe, Asma M. Naim, Thilina Dulantha Lalitharatne, Simon Lind Kappel:
Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals. 1299-1303 - Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi:
XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification. 1304-1308 - Guanchao Feng, J. Gerald Quirk, Petar M. Djuric:
Discovering Causalities from Cardiotocography Signals using Improved Convergent Cross Mapping with Gaussian Processes. 1309-1313 - Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis:
Lai-Net: Local-Ancestry Inference with Neural Networks. 1314-1318 - Vyom Raval, Kevin P. Nguyen, Ashley Gerald, Richard B. Dewey, Albert Montillo:
Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability. 1319-1323 - Aanchal Mongia, Angshul Majumdar:
Deep Matrix Completion on Graphs: Application in Drug Target Interaction Prediction. 1324-1328 - Chong Wu, Houwang Zhang, Le Zhang, Hanying Zheng:
Identification of Essential Proteins Using A Novel Multi-Objective Optimization Method. 1329-1333 - Roshan Konda, Hang Wu, May D. Wang:
Graph Convolutional Neural Networks to Classify Whole Slide Images. 1334-1338 - Marko Angjelichinoski, Mohammadreza Soltani, John S. Choi, Bijan Pesaran, Vahid Tarokh:
Deep James-Stein Neural Networks For Brain-Computer Interfaces. 1339-1343 - Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera:
Formulating Divergence Framework for Multiclass Motor Imagery EEG Brain Computer Interface. 1344-1348 - Suguru Kanoga, Takayuki Hoshino, Hideki Asoh:
Subject Transfer Framework Based on Source Selection and Semi-Supervised Style Transfer Mapping for Semg Pattern Recognition. 1349-1353 - Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network. 1354-1358 - Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee:
Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network. 1359-1363 - Khadijeh Sadatnejad, Aline Roc, Léa Pillette, Aurélien Appriou, Thibaut Monseigne, Fabien Lotte:
Channel Selection over Riemannian Manifold with Non-Stationarity Consideration for Brain-Computer Interface Applications. 1364-1368 - Yiqian Wang, Junkang Zhang, Cheolhong An, Melina Cavichini, Mahima Jhingan, Manuel J. Amador-Patarroyo, Christopher P. Long, Dirk-Uwe G. Bartsch, William R. Freeman, Truong Q. Nguyen:
A Segmentation Based Robust Deep Learning Framework for Multimodal Retinal Image Registration. 1369-1373 - Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li:
Dense Residual Network for Retinal Vessel Segmentation. 1374-1378 - Tao Lei, Wenzheng Zhou, Yuxiao Zhang, Risheng Wang, Hongying Meng, Asoke K. Nandi:
Lightweight V-Net for Liver Segmentation. 1379-1383 - Chuan Hu, Guixia Kang, Beibei Hou, Yiyuan Ma, Fabrice Labeau, Zichen Su:
Acu-Net: A 3D Attention Context U-Net for Multiple Sclerosis Lesion Segmentation. 1384-1388 - Shiv Gehlot, Anubha Gupta, Ritu Gupta:
EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation. 1389-1393 - Tianyu Li, Mary L. Comer, Josiane Zerubia:
An Unsupervised Retinal Vessel Extraction and Segmentation Method Based On a Tube Marked Point Process Model. 1394-1398 - Wei Huang, Zhitong Xiong, Qi Wang, Xuelong Li:
KALM: Key Area Localization Mechanism for Abnormality Detection in Musculoskeletal Radiographs. 1399-1403 - Hang Xu, Shijie Geng, Yu Qiao, Kuan Xu, Yueyang Gu:
Combining CGAN and Mil for Hotspot Segmentation in Bone Scintigraphy. 1404-1408 - Qi Zhang, Jianhang Zhou, Bob Zhang:
A Noninvasive Method to Detect Diabetes Mellitus and Lung Cancer Using the Stacked Sparse autoencoder. 1409-1413 - Pengcheng Guo, Xiangdong Su, Haoran Zhang, Meng Wang, Feilong Bao:
A Multi-Scaled Receptive Field Learning Approach for Medical Image Segmentation. 1414-1418 - Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. 1419-1423 - Ke Mei, Chuang Zhu, Lei Jiang, Jun Liu, Yuanyuan Qiao:
Cross-Stained Segmentation from Renal Biopsy Images Using Multi-Level Adversarial Learning. 1424-1428 - Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos, Yanting Ma:
Blind Multi-Spectral Image Pan-Sharpening. 1429-1433 - Audrey Repetti, Yves Wiaux:
A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging. 1434-1438 - Zhikang Zhang, Kai Xu, Fengbo Ren:
Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks. 1439-1443 - Su Yan, Jun-Jie Huang, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti:
Revealing Hidden Drawings in Leonardo's 'the Virgin of the Rocks' from Macro X-Ray Fluorescence Scanning Data through Element Line Localisation. 1444-1448 - Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao:
3D Unknown View Tomography Via Rotation Invariants. 1449-1453 - Oktay Karakus, Ercan E. Kuruoglu, Alin Achim:
Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution. 1454-1458 - Herman Verinaz-Jadan, Pingfan Song, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti:
Volume Reconstruction for Light Field Microscopy. 1459-1463 - Sheng-Yeh Chen, Yung-Yu Chuang:
Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning. 1464-1468 - Miguel Heredia Conde, Keiichiro Kagawa, Tomoya Kokado, Shoji Kawahito, Otmar Loffeld:
Single-Shot Real-Time Multiple-Path Time-of-Flight Depth Imaging for Multi-Aperture and Macro-Pixel Sensors. 1469-1473 - Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Fast Optical System Identification by Numerical Interferometry. 1474-1478 - Fahimeh Arab, M. Salman Asif:
Fourier Phase Retrieval with Arbitrary Reference Signal. 1479-1483 - Zhishen Tong, Jian Wang, Shensheng Han:
Preconditioned Ghost Imaging Via Sparsity Constraint. 1484-1488 - Kailong Zhou, Cheolkon Jung:
Multispectral Fusion of RGB and NIR Images Using Weighted Least Squares and Alternating Guidance. 1489-1493 - Hoai-Nam Nguyen, Christine Guillemot:
Color and Angular Reconstruction of Light Fields from Incomplete-Color Coded Projections. 1494-1498 - Zhengguo Li, Jinghong Zheng, Shoulie Xie, Haiyan Shu:
Cross Image Cubic Interpolator for Spatially Varying Exposures. 1499-1503 - Shuping Zhao, Bob Zhang, Shuyi Li:
Discriminant and Sparsity Based Least Squares Regression with l1 Regularization for Feature Representation. 1504-1508 - Fahong Zhang, Qi Wang, Xuelong Li:
Deep Meta-Relation Network for Visual Few-Shot Learning. 1509-1513 - Ludivine Nus, Sebastian Miron, Benoît Jaillais, Saïd Moussaoui, David Brie:
A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images. 1514-1518 - Muhammad Asad Lodhi, Yanting Ma, Hassan Mansour, Petros T. Boufounos, Dehong Liu:
Inverse Multiple Scattering with Phaseless Measurements. 1519-1523 - Yayun Cheng, Ziran Zhao, Yingxin Wang, Yingying Niu:
Multi-Polarization Information Fusion for Object Contour Display in Passive Millimeter-Wave and Terahertz Security Imaging. 1524-1528 - Daniele Picone, Aneline Dolet, Silvère Gousset, Didier Voisin, Mauro Dalla Mura, Etienne Le Coarer:
Characterisation of a Snapshot Fourier Transform Imaging Spectrometer Based on an Array of Fabry-Perot Interferometers. 1529-1533 - Jian-Ren Wang, Yung-Yu Chuang:
Shadow Removal of Text Document Images by Estimating Local and Global Background Colors. 1534-1538 - Hamid Nejatollahi, Sina Shahhosseini, Rosario Cammarota, Nikil D. Dutt:
Exploring Energy Efficient Quantum-resistant Signal Processing Using Array Processors. 1539-1543 - Shail Dave, Aviral Shrivastava, Youngbin Kim, Sasikanth Avancha, Kyoungwoo Lee:
dMazeRunner: Optimizing Convolutions on Dataflow Accelerators. 1544-1548 - Alexandre Levisse, Marco Rios, Miguel Peón Quirós, David Atienza:
Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems. 1549-1552 - Vanchinathan Venkataramani, Bruno Bodin, Aditi Kulkarni Mohite, Tulika Mitra, Li-Shiuan Peh:
Time-Predictable Software-Defined Architecture with Sdf-Based Compiler Flow for 5g Baseband Processing. 1553-1557 - A. Soorishetty, Jian Zhou, Subhankar Pal, David T. Blaauw, H. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Linear Algebra Kernels on a Massively Parallel Reconfigurable Architecture. 1558-1562 - Satyajit Das, Rohit Prasad, Kevin J. M. Martin, Philippe Coussy:
Energy Efficient Acceleration Of Floating Point Applications Onto CGRA. 1563-1567 - Ching-Chen Wang, Ching-Te Chiu, Chao-Tsung Huang, Yu-Chun Ding, Li-Wei Wang:
Fast and Accurate Embedded DCNN for Rgb-D Based Sign Language Recognition. 1568-1572 - Wei-Zhong Zheng, Vu-Hoang Tran, Ching-Chun Huang:
D2NA: Day-To-Night Adaptation for Vision based Parking Management System. 1573-1577 - Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios D. Doulamis:
EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION. 1578-1582 - Gonçalo Castel-Branco, Gabriel Falcão, Fernando Perdigão:
Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks. 1583-1587 - Sha Hu, Wenquan Hu, Dzevdan Kapetanovic, Neng Wang:
Deep-Neural-Network Based Fall-Back Mechanism in Interference-Aware Receiver Design. 1588-1892 - Yang Zhao, Chaojian Li, Yue Wang, Pengfei Xu, Yongan Zhang, Yingyan Lin:
DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. 1593-1597 - Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag:
Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. 1598-1602 - Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu:
Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. 1603-1607 - Andreas Toftegaard Kristensen, Robert Giterman, Alexios Balatsoukas-Stimming, Andreas Burg:
Lupulus: A Flexible Hardware Accelerator for Neural Networks. 1608-1612 - Wen-Yi Lo, Ching-Te Chiu, Jie-Yu Luo:
Depth Estimation From Single Image Through Multi-Path-Multi-Rate Diverse Feature Extractor. 1613-1617 - Jiou-Ai Lin, Ching-Te Chiu, Yen-Yu Cheng:
Object Detection with Color and Depth Images with Multi-Reduced Region Proposal Network and Multi-Pooling. 1618-1622 - Chao-Hsun Yang, Long-Wen Chang:
Deblurring And Super-Resolution Using Deep Gated Fusion Attention Networks For Face Images. 1623-1627 - Yusen Fan, Feng Zhang, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
Indoor Heading Direction Estimation Using Rf Signals. 1628-1632 - Shulin Wen, Woon-Seng Gan, Dong-Yuan Shi:
An Improved Selective Active Noise Control Algorithm Based on Empirical Wavelet Transform. 1633-1637 - Jianwei Ke, Alex J. Watras, Jae-Jun Kim, Hewei Liu, Hongrui Jiang, Yu Hen Hu:
Towards Real-Time, Multi-View Video Stereopsis. 1638-1642 - Chao-Tsung Huang:
Ernet Family: Hardware-Oriented Cnn Models For Computational Imaging Using Block-Based Inference. 1643-1647 - Georgios Georgis, Alexios Thanos, Marcin Filo, Konstantinos Nikitopoulos:
A DSP Acceleration Framework For Software-Defined Radios On X86 64. 1648-1652 - Chia-Ho Hsu, Ching-Te Chiu, Chia-Yu Kuan:
Fast Single-View 3D Object Reconstruction with Fine Details Through Dilated Downsample and Multi-Path Upsample Deep Neural Network. 1653-1657 - João Vieira, Nuno Roma, Gabriel Falcão, Pedro Tomás:
Processing Convolutional Neural Networks on Cache. 1658-1662 - Ibrahim Farhat, Wassim Hamidouche, Adrien Grill, Daniel Ménard, Olivier Déforges:
Lightweight Hardware Implementation of VVC Transform Block for ASIC Decoder. 1663-1667 - Tzu-Ying Lin, Ching-Te Chiu, Ching-Tung Tang:
Rgb-D Based Multi-Modal Deep Learning for Face Identification. 1668-1672 - Han-Sol Lee, Eundoo Heo, Wonseok Lee, Do-Chang Ahn, Jeonghyeon Cheon, Kyungho Kim, Kyunghwan Lee, Jeongguk Lee, Yunseok Choi, Soonkeun Chang:
A Real Time Implementation of a Bayer Domain Image Deblurring Core for Optical Blur Compensation. 1673-1677 - Sheng-Chieh Lin, Wen-Yuh Su, Po-Chuan Chien, Ming-Feng Tsai, Chuan-Ju Wang:
Self-Attentive Sentimental Sentence Embedding for Sentiment Analysis. 1678-1682 - Yujunrong Ma, Jiahao Wu, Shuvra S. Bhattacharyya, Jani Boutellier:
Decidable Variable-Rate Dataflow for Heterogeneous Signal Processing Systems. 1683-1687 - Hassan Harb, Cyrille Chavet:
Back-to-Back Butterfly Network, an Adaptive Permutation Network for New Communication Standards. 1688-1692 - Oscar Ferraz, Vítor Silva, Gabriel Falcão:
1.5GBIT/S 4.9W Hyperspectral Image Encoders on a Low-Power Parallel Heterogeneous Processing Platform. 1693-1697 - Jih-Yang Lin, Pei-Yun Tsai:
Design of A Convergence-Aware Based Expectation Propagation Algorithm for Uplink Mimo Scma Systems. 1698-1702 - Zihao Gong, Yifei Shen, Houren Ji, Wenqing Song, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Bipartite Belief Propagation Polar Decoding With Bit-Flipping. 1703-1707 - Chun-Hsiang Chen, Chieh-Fang Teng, An-Yeu Andy Wu:
Low-Complexity LSTM-Assisted Bit-Flipping Algorithm For Successive Cancellation List Polar Decoder. 1708-1712 - Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. 1713-1717 - Yapeng Zhao, Kai Kang, Hua Qian, Xiliang Luo, Yanliang Jin:
Greedy Hybrid Rate Adaptation in Dynamic Wireless Communication Environment. 1718-1722 - Yuqian Hu, Feng Zhang, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
A WiFi-Based Passive Fall Detection System. 1723-1727 - Yun Wu, Peng Wang, John McAllister:
Programmable Dataflow Accelerators: A 5G OFDM Modulation/Demodulation Case Study. 1728-1732 - Furkan Ercan, Thibaud Tonnellier, Nghia Doan, Warren J. Gross:
Simplified Dynamic SC-Flip Polar Decoding. 1733-1737 - Yi Xie, Cong Shi, Zhuohang Li, Jian Liu, Yingying Chen, Bo Yuan:
Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems. 1738-1742 - Aurel A. Lazar, Tingkai Liu, Chung-Heng Yeh:
An Odorant Encoding Machine for Sampling, Reconstruction and Robust Representation of Odorant Identity. 1743-1747 - Shih-Yao Huang, Wei-Chih Chen, Chao-Tsung Huang:
FIR Filter Design and Implementation for Phase-Based Processing. 1748-1752 - Yoonho Boo, Wonyong Sung:
Fixed-Point Optimization of Transformer Neural Network. 1753-1757 - Vineet Panchbhaiyye, Tokunbo Ogunfunmi:
A Fifo Based Accelerator for Convolutional Neural Networks. 1758-1762 - Oscar Castañeda, Sven Jacobsson, Giuseppe Durisi, Tom Goldstein, Christoph Studer:
Soft-Output Finite Alphabet Equalization for mmWave Massive MIMO. 1763-1767 - Yu Zheng, Timothy M. Hospedales, Yongxin Yang:
Diversity and Sparsity: A New Perspective on Index Tracking. 1768-1772 - Seyed Hadi Mirfarshbafan, Christoph Studer:
Sparse Beamspace Equalization for Massive MU-MIMO MMWave Systems. 1773-1777 - Jia-Hao Syu, Mu-En Wu, Chun-Hao Chen, Jan-Ming Ho:
Threshold-Adjusted ORB Strategies with Genetic Algorithm and Protective Closing Strategy on Taiwan Futures Market. 1778-1782 - Holger Boche, Volker Pohl:
Can every analog system be simulated on a digital computer? 1783-1787 - Yo-Woei Pua, Ching-Yao Chou, An-Yeu Andy Wu:
Low-Complexity Compressed Alignment-Aided Compressive Analysis for Real-Time Electrocardiography Telemonitoring. 1788-1792 - Xiaofeng Hu, Chunhua Deng, Bo Yuan:
Reduced-Complexity Singular Value Decomposition For Tucker Decomposition: Algorithm And Hardware. 1793-1797 - Huang-Chang Lee, Yu-Sheng Pao, Cheng-Yi Chi, Hsin-Yu Lee, Yeong-Luh Ueng:
An Early Termination Scheme for Successive Cancellation List Decoding of Polar Codes. 1798-1802 - Jinhwan Park, Xue Qian, Youngmin Jo, Wonyong Sung:
Low-Latency Lightweight Streaming Speech Recognition with 8-Bit Quantized Simple Gated Convolutional Neural Networks. 1803-1807 - Golnoosh Elhami, Adam James Scholefield, Martin Vetterli:
Shape From Bandwidth: Central Projection Case. 1808-1812 - Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan:
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. 1813-1817 - Hong Liu, Zhisheng Lu, Wei Shi, Juanhui Tu:
A Fast and Accurate Super-Resolution Network Using Progressive Residual Learning. 1818-1822 - Shaohui Li, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong:
REV-AE: A Learned Frame Set for Image Reconstruction. 1823-1827 - Kewen Han, Xinguang Xiang:
Decomposed Cyclegan for Single Image Deraining With Unpaired Data. 1828-1832 - Yunjie Wu, Zhengxing Sun, Youcheng Song, Yunhan Sun, Jinlong Shi:
Slicenet: Slice-Wise 3D Shapes Reconstruction from Single Image. 1833-1837 - A. Sophia Koepke, Olivia Wiles, Yael Moses, Andrew Zisserman:
Sight to Sound: An End-to-End Approach for Visual Piano Transcription. 1838-1842 - Gaowen Liu, Hao Tang, Hugo Latapie, Yan Yan:
Exocentric to Egocentric Image Generation Via Parallel Generative Adversarial Network. 1843-1847 - Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Focus on Semantic Consistency for Cross-Domain Crowd Understanding. 1848-1852 - Haoxiang Zhong, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Improved Real-Time Visual Tracking via Adversarial Learning. 1853-1857 - Zhu Chen, Weihai Li, Chi Fei, Bin Liu, Nenghai Yu:
Spatial-Temporal Feature Aggregation Network For Video Object Detection. 1858-1862 - Fan Yang, Feiran Li, Yang Wu, Sakriani Sakti, Satoshi Nakamura:
Using Panoramic Videos for Multi-Person Localization and Tracking In A 3D Panoramic Coordinate. 1863-1867 - Hong Liu, Meijia Song, Wei Shi, Xia Li:
Position Constraint Loss For Fashion Landmark Estimation. 1868-1872 - Faming Wu, Andy J. Ma, Yangshan Pan, Yuan Gao, Xiaowei Yan:
Receptive Field Pyramid Network for Object Detection. 1873-1877 - Yueyang Gu, Yu Qiao, Kuan Xu, Hang Xu, Xingqi Fang:
Robust Visual Tracking with Context-Based Active Occlusion Recognition. 1878-1882 - Shihua Xiao, Nan Sang, Xupeng Wang, Xiangtian Ma:
Leveraging Ordinal Regression With Soft Labels For 3d Head Pose Estimation From Point Sets. 1883-1887 - Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. 1888-1892 - Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen:
Face Feature Recovery via Temporal Fusion for Person Search. 1893-1897 - Ali Shahin Shamsabadi, Changjae Oh, Andrea Cavallaro:
Edgefool: an Adversarial Image Enhancement Filter. 1898-1902 - Huijiao Wang, Haijian Zhang, Lei Yu, Li Wang, Xulei Yang:
Facial Feature Embedded Cyclegan For Vis-Nir Translation. 1903-1907 - Wei Su, Yuan Yuan, Qi Wang:
Deep Image Deblurring Using Local Correlation Block. 1908-1912 - Chuanming Wang, Huiyuan Fu, Huadong Ma:
Global Structure Graph Guided Fine-Grained Vehicle Recognition. 1913-1917 - Wei Jia, Li Li, Zhu Li, Shuai Zhao, Shan Liu:
Triplet Loss Feature Aggregation for Scalable Hash. 1918-1922 - Jing Gao, Wenjun Zhang, Zhikui Chen, Fangming Zhong:
HDMFH: Hypergraph Based Discrete Matrix Factorization Hashing for Multimodal Retrieval. 1923-1927 - Yiting Cheng, Chuanfa Zhang, Kangzheng Gu, Lizhe Qi, Zhongxue Gan, Wenqiang Zhang:
Multi-Scale Deep Feature Fusion for Vehicle Re-Identification. 1928-1932 - Yinxue Yu, Chao Liang, Weijian Ruan, Longxiang Jiang:
Crowdsourcing-Based Ranking Aggregation for Person Re-Identification. 1933-1937 - Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin:
Deep Multi-Region Hashing. 1938-1942 - Fangming Zhong, Zhikui Chen, Geyong Min, Feng Xia:
Semantic Augmentation Hashing for Zero-Shot Image Retrieval. 1943-1947 - Sefik Emre Eskimez, Ross K. Maddox, Chenliang Xu, Zhiyao Duan:
End-To-End Generation of Talking Faces from Noisy Speech. 1948-1952 - Sunhee Hwang, Hyeran Byun:
Unsupervised Image-to-Image Translation Via Fair Representation of Gender Bias. 1953-1957 - Minho Park, Sangmin Lee, Yong Man Ro:
Video Frame Interpolation Via Exceptional Motion-Aware Synthesis. 1958-1962 - Haiping Zhu, Zhizhong Huang, Hongming Shan, Junping Zhang:
Look Globally, Age Locally: Face Aging With an Attention Mechanism. 1963-1967 - Yining Lang, Yuan He, Jianfeng Dong, Fan Yang, Hui Xue:
Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention. 1968-1972 - (Withdrawn) Intensity-Image Reconstruction for Event Cameras Using Convolutional Neural Network. 1973-1977
- Maja Krivokuca, Christine Guillemot:
Colour Compression of Plenoptic Point Clouds Using Raht-Klt with Prior Colour Clustering and Specular/Diffuse Component Separation. 1978-1982 - Chinthaka Dinesh, Gene Cheung, Ivan V. Bajic:
Super-Resolution of 3D Color Point Clouds Via Fast Graph Total Variation. 1983-1987 - Haoyu Ren, Mostafa El-Khamy, Jungwon Lee:
Deep Monocular Video Depth Estimation Using Temporal Attention. 1988-1992 - Kai Guo, Seongwook Song, Soonkeun Chang, Tae-ui Kim, Seungmin Han, Irina Kim:
Robust Full-Fov Depth Estimation in Tele-Wide Camera System. 1993-1997 - Yan Li, Lu Zhang, Qiong Wang, Gauthier Lafruit:
Manet: Multi-Scale Aggregated Network For Light Field Depth Estimation. 1998-2002 - Junke Li, Xin Jin:
EPI-Neighborhood Distribution Based Light Field Depth Estimation. 2003-2007 - Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Stochastic Multi-Scale Aggregation Network for Crowd Counting. 2008-2012 - Parnian Afshar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
MDR-SURV: A Multi-Scale Deep Learning-Based Radiomics for Survival Prediction in Pulmonary Malignancies. 2013-2017 - Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. 2018-2022 - Xian Zhong, Oubo Gong, Wenxin Huang, Jingling Yuan, Bo Ma, Ryan Wen Liu:
Multi-Scale Residual Network for Image Classification. 2023-2027 - Hang Dong, Xinyi Zhang, Yu Guo, Fei Wang:
Deep Multi-Scale Gabor Wavelet Network for Image Restoration. 2028-2032 - Jing Liu, Yuan Xie, Haichuan Song, Wang Yuan, Lizhuang Ma:
Residual Attention Network for Wavelet Domain Super-Resolution. 2033-2037 - Bohan Li, Jingning Han, Kenneth Rose:
An Adaptive Linear Estimator Based Approach to Bi-Directional Motion Compensated Prediction. 2038-2042 - Bharath Vishwanath, Kenneth Rose:
Spherical Video Coding with Geometry and Region Adaptive Transform Domain Temporal Prediction. 2043-2047 - Charles Bonnineau, Wassim Hamidouche, Jean-François Travers, Olivier Déforges:
Versatile Video Coding and Super-Resolution for Efficient Delivery of 8k Video with 4k Backward-Compatibility. 2048-2052 - Anastasia Henkel, Ivan Zupancic, Benjamin Bross, Martin Winken, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Alternative Half-Sample Interpolation Filters for Versatile Video Coding. 2053-2057 - Xuelin Shen, Xinfeng Zhang, Shiqi Wang, Sam Kwong, Guopu Zhu:
Just Noticeable Distortion Based Perceptually Lossless Intra Coding. 2058-2062 - Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee:
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning. 2063-2067 - Muhammad Ahmed Shah, Bhiksha Raj:
Deriving Compact Feature Representations Via Annealed Contraction. 2068-2072 - Feiping Nie, Shenfei Pei, Rong Wang, Xuelong Li:
Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification. 2073-2077 - Pravin Nair, Ruturaj G. Gavaskar, Kunal N. Chaudhury:
Compressive Adaptive Bilateral Filtering. 2078-2082 - Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, Zixiang Xiong:
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images. 2083-2087 - Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
Image Restoration Via Data-Dependent Proximal Averaged Optimization. 2088-2092 - Zheng Fang, Sen Zhou, Xi Li, Haoqi Zhu:
Multi-Way Multi-View Deep Autoencoder for Image Feature Learning with Multi-Level Graph Regularization. 2093-2097 - Chaobing Zheng, Zhengguo Li, Yi Yang, Shiqian Wu:
Exposure Interpolation Via Hybrid Learning. 2098-2102 - Guoxi Huang, Adrian G. Bors:
Learning Spatio-Temporal Representations With Temporal Squeeze Pooling. 2103-2107 - Rizhi Ding, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng, Gang Hua:
Fine-Grained Giant Panda Identification. 2108-2112 - Hsuan-I Ho, Minho Shim, Dongyoon Wee:
Learning from Dances: Pose-Invariant Re-Identification for Multi-Person Tracking. 2113-2117 - Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Bin Li:
Learning Fractional Orthogonal Latent Consistent Features for Face Hallucination and Recognition. 2118-2122 - Yukihiro Bandoh, Takayuki Nakachi, Hitoshi Kiya:
Sparse Modeling on Distributed Encryption Data. 2123-2127 - Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. 2128-2132 - Bowen Wu, Huaming Wu:
Angular Discriminative Deep Feature Learning for Face Verification. 2133-2137 - Abd El Rahman Shabayek, Djamila Aouada, Kseniya Cherenkova, Gleb Gusev, Björn E. Ottersten:
3d Deformation Signature for Dynamic Face Recognition. 2138-2142 - Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman:
ASR is All You Need: Cross-Modal Distillation for Lip Reading. 2143-2147 - Olivier Vu-Thanh, Trevor Canham, Javier Vazquez-Corral, Raquel Gil Rodríguez, Marcelo Bertalmío:
Color Stabilization for Multi-Camera Light-Field Imaging. 2148-2152 - Hanzao Chen, Xiaofen Xing, Xiangmin Xu:
Learning Spatio-Temporal Convolutional Network for Real-Time Object Tracking. 2153-2157 - Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro Katto:
Learned Lossless Image Compression with A Hyperprior and Discretized Gaussian Mixture Likelihoods. 2158-2162 - Tong Chen, Zhan Ma:
Variable Bitrate Image Compression with Quality Scaling Factors. 2163-2167 - Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges:
Binary Probability Model for Learning Based Image Compression. 2168-2172 - Tilo Strutz:
Improved Probability Modelling for Exception Handling in Lossless Screen Content Coding. 2173-2177 - Iago Storch, Bruno Zatt, Luciano Agostini, Guilherme Corrêa, Luís Alberto da Silva Cruz, Daniel Palomino:
Spatially Adaptive Intra Mode Pre-Selection for ERP 360 Video Coding. 2178-2182 - Xiaochong Jiang, Cheng Yang, Gene Cheung, Seishi Takamura:
Semi-Regular Geometric Kernel Encoding & Reconstruction for Video Compression. 2183-2187 - Ashek Ahmmed, M. Manzur Murshed, Manoranjan Paul:
Leveraging Cuboids for Better Motion Modeling in High Efficiency Video Coding. 2188-2192 - Sungsoo Kim, Jin Soo Park, Christos G. Bampis, Jaeseong Lee, Mia K. Markey, Alexandros G. Dimakis, Alan C. Bovik:
Adversarial Video Compression Guided by Soft Edge Detection. 2193-2197 - Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. 2198-2202 - Jens Schneider, Johannes Sauer, Christian Rohlfing:
Adaptive Resolution Change Using Uncoded Areas and Dictionary Learning-Based Super-Resolution in Versatile Video Coding. 2203-2207 - Ítalo D. Machado, Marilton S. de Aguiar, Marcelo Schiavon Porto, Guilherme Corrêa, Daniel Palomino, Bruno Zatt:
RDE-MOGA: Automatic Selection of Rate-Distortion-Energy Control Points for Video Encoders Using Muti-Objetive Genetic Algorithm. 2208-2212 - Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues:
A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation. 2213-2217 - Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Self-Supervised Adversarial Training. 2218-2222 - Mohammad Mahdi Johari, Hamid Behroozi:
Gray-Scale Image Colorization Using Cycle-Consistent Generative Adversarial Networks with Residual Structure Enhancer. 2223-2227 - Meng Cao, Yuexian Zou:
All You Need is a Second Look: Towards Tighter Arbitrary Shape Text Detection. 2228-2232 - Li Ke, Meng Pan, Weigao Wen, Dong Li:
Compare Learning: Bi-Attention Network for Few-Shot Learning. 2233-2237 - Rusheng Li, Hanhui Liu, Yuesheng Zhu, Zhiqiang Bai:
Arnet: Attention-Based Refinement Network for Few-Shot Semantic Segmentation. 2238-2242 - Qiankun Tang, Jie Li, Zhiping Shi, Yu Hu:
Lightdet: A Lightweight and Accurate Object Detection Network. 2243-2247 - Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang:
Self-Supervised Deep Learning for Fisheye Image Rectification. 2248-2252 - Xianyi Zhu, Yi Xiao, Yan Zheng, Guanghua Tan, Shizhe Zhou:
Sketchppnet: A Joint Pixel and Point Convolutional Neural Network For Low Resolution Sketch Image Recognition. 2253-2257 - Dawei Yang, Xinlei Li, Xiaotian Dai, Rui Zhang, Lizhe Qi, Wenqiang Zhang, Zhe Jiang:
All In One Network for Driver Attention Monitoring. 2258-2262 - Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. 2263-2267 - Cong Zhang, Qi Wang, Xuelong Li:
IQ-STAN: Image Quality Guided Spatio-Temporal Attention Network for License Plate Recognition. 2268-2272 - Eloi Moliner, Luis Salgueiro Romero, Verónica Vilaplana:
Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. 2273-2277 - Jiangyue Xia, Jingqi Tian, Jiankai Xing, Jiawen Cheng, Jun Zhang, Jiangtao Wen, Zhengguang Li, Jian Lou:
Social Data Assisted Multi-Modal Video Analysis For Saliency Detection. 2278-2282 - Xin Zhang, Chunlei Huo, Chunhong Pan:
View-Angle Invariant Object Monitoring Without Image Registration. 2283-2287 - Da Chen, Xiang Wu, Jianfeng Dong, Yuan He, Hui Xue, Feng Mao:
Hierarchical Sequence Representation with Graph Network. 2288-2292 - Gwangmo Song, Yumee Kim, Kukjin Chun, Kyoung Mu Lee:
Multi Image Depth from Defocus Network with Boundary Cue for Dual Aperture Camera. 2293-2297 - Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta:
Height and Weight Estimation from Unconstrained Images. 2298-2302 - Binod Bhattarai, Seungryul Baek, Rumeysa Bodur, Tae-Kyun Kim:
Sampling Strategies for GAN Synthetic Data. 2303-2307 - Binod Bhattarai, Rumeysa Bodur, Tae-Kyun Kim:
Auglabel: Exploiting Word Representations to Augment Labels for Face Attribute Classification. 2308-2312 - Chen Du, Sarah Graham, Shiwei Jin, Colin Depp, Truong Nguyen:
Multi-Task Center-Of-Pressure Metrics Estimation from Skeleton Using Graph Convolutional Network. 2313-2317 - Mingliang Zhai, Xuezhi Xiang, Ning Lv, Abdulmotaleb El-Saddik:
Multi-Task Learning in Autonomous Driving Scenarios Via Adaptive Feature Refinement Networks. 2323-2327 - Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He:
A Real-Time Deep Network for Crowd Counting. 2328-2332 - Tarek Ghoniemy, Maria A. Amer:
Drift Detection and Correction Post-Tracking. 2333-2337 - Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnér, Yi-Chang James Tsai:
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding. 2338-2342 - Kai Guo, Nakhoon Kim, Duckchan Seo, Irina Kim, Soonkeun Chang, Dong-Ki Min, Sukhwan Lim:
Non-Uniform Video Time-Lapse Method Based on Motion Scenario and Stabilization Constraint. 2343-2347 - Haibo Li, Liqing Gao, Ruize Han, Liang Wan, Wei Feng:
Key Action and Joint CTC-Attention based Sign Language Recognition. 2348-2352 - Thien Huynh-The, Cam-Hao Hua, Nguyen Anh Tu, Dong-Seong Kim:
Learning Geometric Features with Dual-stream CNN for 3D Action Recognition. 2353-2357 - Spyridon Thermos, Petros Daras, Gerasimos Potamianos:
A Deep Learning Approach to Object Affordance Segmentation. 2358-2362 - Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-View Shape Estimation of Transparent Containers. 2363-2367 - Jinpeng Wang, Shiren Li, Zhikui Duan, Zhihao Yuan:
Rethinking Temporal-Related Sample for Human Action Recognition. 2368-2372 - Jia Liu, Quan Zhou, Yong Qiang, Bin Kang, Xiaofu Wu, Baoyu Zheng:
FDDWNet: A Lightweight Convolutional Neural Network for Real-Time Semantic Segmentation. 2373-2377 - Sudipta Paul, Carlos Torres, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury:
Complex Pairwise Activity Analysis Via Instance Level Evolution Reasoning. 2378-2382 - Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. 2383-2387 - Yutang Wu, Hanli Wang, Shuheng Wang, Qinyu Li:
Enhanced Action Tubelet Detector for Spatio-Temporal Video Action Detection. 2388-2392 - Yitu Wang, Takayuki Nakachi:
Secure Face Recognition in Edge and Cloud Networks: From the Ensemble Learning Perspective. 2393-2397 - Minqiang Zou, Jie Tang, Gangshan Wu:
Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. 2398-2402 - Xiuheng Wang, Jie Chen, Cédric Richard, David Brie:
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. 2403-2407 - Dipu Manandhar, Muhammet Bastan, Kim-Hui Yap:
Dynamically Modulated Deep Metric Learning for Visual Search. 2408-2412 - Zhihong Pan, Baopu Li, Hsuchun Cheng, Yingze Bao:
Deep Residual Network for MSFA Raw Image Denoising. 2413-2417 - Bo Wei, Yuan Yuan, Qi Wang:
MSPNET: Multi-Supervised Parallel Network for Crowd Counting. 2418-2422 - Yu-Siang Wang, Hung-Ting Su, Chen-Hsi Chang, Zhe Yu Liu, Winston H. Hsu:
Video Question Generation via Semantic Rich Cross-Modal Self-Attention Networks Learning. 2423-2427 - Zeyang Dou, Kun Gao, Xiaodian Zhang, Hong Wang, Junwei Wang:
Blind Hyperspectral Unmixing using Dual Branch Deep Autoencoder with Orthogonal Sparse Prior. 2428-2432 - Zhenhao Li, Xiaolin Wu:
Classification of Depth and Surface Edges with Deep Features. 2433-2437 - Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning to Characterize Adversarial Subspaces. 2438-2442 - Fan Yang, Liang Xiao, Jingxiang Yang:
Video Deblurring Via 3d CNN and Fourier Accumulation Learning. 2443-2447 - Hanwen Ma, Ganchao Liu, Yuan Yuan:
Enhanced Non-Local Cascading Network with Attention Mechanism for Hyperspectral Image Denoising. 2448-2452 - Anastasia Aidini, Grigorios Tsagkatakis, Panagiotis Tsakalides:
Quantized Tensor Robust Principal Component Analysis. 2453-2457 - Shangbang Long, Yushuo Guan, Kaigui Bian, Cong Yao:
A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling. 2458-2462 - Xingyu Fu, Bin Fang, Mingliang Zhou, Jiajun Li:
Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation. 2463-2467 - Shane Harrigan, Sonya Coleman, Dermot Kerr, Pratheepan Yogarajah, Zheng Fang, Chengdong Wu:
Neural Coding Strategies for Event-Based Vision Data. 2468-2472 - Qier An, Yuan Shen:
Camera Configuration Design in Cooperative Active Visual 3d Reconstruction: A Statistical Approach. 2473-2477 - Zhengyi Zhao, Tianyao Wang, Siyu Xia, Yangang Wang:
Hand-3d-Studio: A New Multi-View System for 3d Hand Reconstruction. 2478-2482 - Lucas Drumetz, Mauro Dalla Mura, Guillaume Tochon, Ronan Fablet:
Learning Endmember Dynamics in Multitemporal Hyperspectral Data Using A State-Space Model Formulation. 2483-2487 - Sri Kalyan Yarlagadda, Sriram Baireddy, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu:
Learning Eating Environments Through Scene Clustering. 2488-2492 - Zhiyuan Zha, Xin Yuan, Jiantao Zhou, Ce Zhu, Bihan Wen:
A Hybrid Structural Sparse Error Model for Image Deblocking. 2493-2497 - Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino:
Reflectance-Guided, Contrast-Accumulated Histogram Equalization. 2498-2502 - Wei Shang, Pengfei Zhu, Dongwei Ren, Hong Shi:
Bilateral Recurrent Network for Single Image Deraining. 2503-2507 - Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. 2508-2512 - Alexander Sagel, Aline Roumy, Christine Guillemot:
Sub-Dip: Optimization On A Subspace With Deep Image Prior Regularization And Application To Superresolution. 2513-2517 - Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. 2518-2522 - Van Ha Tang, Abdesselam Bouzerdoum, Son Lam Phung:
A Variational Bayesian Approach for Multichannel Through-Wall Radar Imaging with Low-Rank and Sparse Priors. 2523-2527 - Junling Liu, Yuexian Zou, Dongming Yang:
Semanticgan: Generative Adversarial Networks For Semantic Image To Photo-Realistic Image Translation. 2528-2532 - Meiya Chen, Yi Chang, Shuning Cao, Luxin Yan:
Learning Blind Denoising Network for Noisy Image Deblurring. 2533-2537 - Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning For Super-Resolution. 2538-2542 - Baptiste Magnier, Arezki Aberkane, N. Gorrity:
A Recursive Edge Detector For Color Filter Array Image. 2543-2547 - Jingwei He, Lei Yu, Wen Yang:
Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning. 2548-2552 - Ye Guo, Yali Li, Shengjin Wang:
CS-R-FCN: Cross-Supervised Learning for Large-Scale Object Detection. 2553-2557 - Feng Dai, Youqiang Zhang, Yike Ma, Hongliang Li, Qiang Zhao:
Dilated Convolutional Neural Networks for Panoramic Image Saliency Prediction. 2558-2562 - Xiaofan Gu, Xinwei Xue, Feng Wang:
Fine-Grained Action Recognition on a Novel Basketball Dataset. 2563-2567 - Xiaoqi Pan, Hong Mo, Zhong Zhou, Wei Wu:
Attention Guided Region Division for Crowd Counting. 2568-2572 - Teppei Suzuki:
Superpixel Segmentation Via Convolutional Neural Networks with Regularized Information Maximization. 2573-2577 - Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, Alexander G. Hauptmann:
Stacked Pooling for Boosting Scale Invariance of Crowd Counting. 2578-2582 - Hong Liu, Linlin Zhang, Lisi Guan, Mengyuan Liu:
GFNet: A Lightweight Group Frame Network for Efficient Human Action Recognition. 2583-2587 - Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. 2588-2592 - Julien Baderot, Michel Desvignes, Laurent Condat, Mauro Dalla Mura:
Tree of Shapes Cut for Material Segmentation Guided by a Design. 2593-2597 - Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia:
Deep Flow Collaborative Network for Online Visual Tracking. 2598-2602 - Bangqi Cao, Xiandong Meng, Shuyuan Zhu, Bing Zeng:
Salient Object Detection Based On Image Bit-Map. 2603-2607 - Libao Zhang, Congyang Liu:
A Novel Saliency-Driven Oil Tank Detection Method for Synthetic Aperture Radar Images. 2608-2612 - Haopeng Li, Yuan Yuan, Qi Wang:
Video Frame Interpolation Via Residue Refinement. 2613-2617 - Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Yuhong Yang, Xin Tian, Junjun Jiang:
Attention-Guided Deraining Network Via Stage-Wise Learning. 2618-2622 - Kareem Metwaly, Vishal Monga:
Attention-Mask Dense Merger (Attendense) Deep HDR for Ghost Removal. 2623-2627 - Hao-Hsiang Yang, Chao-Han Huck Yang, Yi-Chang James Tsai:
Y-Net: Multi-Scale Feature Aggregation Network With Wavelet Structure Similarity Loss Function For Single Image Dehazing. 2628-2632 - Kuangye Liu, Zhen Han, Junkui Chen, Chunlei Liu, Jun Chen, Zhongyuan Wang:
Image Super-Resolution Using Residual Global Context Network. 2633-2637 - Jiaao Zhang, Risheng Liu, Long Ma, Wei Zhong, Xin Fan, Zhongxuan Luo:
Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement. 2638-2642 - Wangduo Xie, Jian Zhang, Zhisheng Lu, Meng Cao, Yong Zhao:
Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution. 2643-2647 - Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat, Erwan Nogues:
Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers. 2648-2652 - Libao Zhang, Shan Wang, Xiaohan Wang:
SDTCN: Similarity Driven Transmission Computing Network for Image Dehazing. 2653-2657 - Long Yu, Haonan Su, Cheolkon Jung:
Joint Enhancement And Denoising of Low Light Images Via JND Transform. 2658-2662 - Cong Geng, Li Chen, Xiaoyun Zhang, Zhiyong Gao:
Adversarial Text Image Super-Resolution using Sinkhorn Distance. 2663-2667 - Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. 2668-2672 - Cairong Zhang, Guijin Wang, Xinghao Chen, Pengwei Xie, Toshihiko Yamasaki:
Weakly Supervised Segmentation Guided Hand Pose Estimation During Interaction with Unknown Objects. 2673-2677 - Xue Zhang, Gene Cheung, Patrick Le Callet, Jack Z. G. Tan:
Sparse Directed Graph Learning for Head Movement Prediction in 360 Video Streaming. 2678-2682 - Jennifer Tang, Atulya Yellepeddi, Sefa Demirtas, Christopher Barber:
Tracking to Improve Detection Quality in Lidar For Autonomous Driving. 2683-2687 - Yuerong Chen, Mengliang Zhang, Song Li, Zhongyuan Wang, Xin Tian:
Cartoon-Texture Decomposition-Based Variational Pansharpening. 2688-2692 - Colleen P. Bailey, Shubham Chamadia, Dimitris A. Pados:
An Alternative Signature Design Using L1 Principal Components for Spread-Spectrum Steganography. 2693-2696 - Takayuki Nakachi, Yitu Wang, Hitoshi Kiya:
Privacy-Preserving Pattern Recognition Using Encrypted Sparse Representations in L0 Norm Minimization. 2697-2701 - Kosuke Shimizu, Taizo Suzuki:
Flexibly-tunable bitcube-based perceptual encryption within jpeg compression. 2702-2706 - Xiao Hu, Daniel Olesen, Per Knudsen:
Gyroscope Aided Video Stabilization Using Nonlinear Regression on Special Orthogonal Group. 2707-2711 - Zhengzhong Tu, Jessie Lin, Yilin Wang, Balu Adsumilli, Alan C. Bovik:
BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR. 2712-2716 - Dendi Sathya Veera Reddy, Chander Dev, Narayan Kothari, Sumohana S. Channappayya:
Lqaid: Localized Quality Aware Image Denoising Using Deep Convolutional Neural Networks. 2717-2721 - Xiyu Kong, Muming Zhao, Hao Zhou, Chongyang Zhang:
Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting. 2722-2726 - Christian R. Helmrich, Mischa Siekmann, Sören Becker, Sebastian Bosse, Detlev Marpe, Thomas Wiegand:
Xpsnr: A Low-Complexity Extension of The Perceptually Weighted Peak Signal-To-Noise Ratio For High-Resolution Video Quality Assessment. 2727-2731 - Yasuko Sugito, Marcelo Bertalmío:
Non-Experts or Experts? Statistical Analyses of MOS using DSIS method. 2732-2736 - Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala:
Full Reference Video Quality Measures Improvement Using Neural Networks. 2737-2741 - Jin Huang, Chaoran Cui, Chunyun Zhang, Zhen Shen, Jun Yu, Yilong Yin:
Learning Multi-Scale Attentive Features for Series Photo Selection. 2742-2746 - Hong Liu, Peng Wei, Weibo Huang, Guoliang Hua, Fanyang Meng:
Spatio-Temporal and Geometry Constrained Network for Automobile Visual Odometry. 2747-2751 - Sami Jaballah, Amegh Bhavsar, Mohamed-Chaker Larabi:
A Comprehensive Framework for 2D-JND Extension to 360-DEG Images. 2752-2756 - Rishabh Singh, Shujian Yu, José C. Príncipe:
Composite Dynamic Texture Synthesis Using Hierarchical Linear Dynamical System. 2757-2761 - Jan Butora, Jessica J. Fridrich:
Steganography and its Detection in JPEG Images Obtained with the "TRUNC" Quantizer. 2762-2766 - Quentin Giboulot, Rémi Cogranne, Patrick Bas:
JPEG Steganography with Side Information from the Processing Pipeline. 2767-2771 - Rémi Cogranne:
Selection-Channel-Aware Reverse JPEG Compatibility for Highly Reliable Steganalysis of JPEG Images. 2772-2776 - Stephane Schwarz, Antônio Theóphilo, Anderson Rocha:
EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection. 2777-2781 - Falko Matern, Christian Riess, Marc Stamminger:
Depth Map Fingerprinting and Splicing Detection. 2782-2786 - Xin Liao, Zihang Huang:
A Framework for Parameters Estimation of Image Operator Chain. 2787-2791 - Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes:
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption. 2792-2796 - Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. 2797-2801 - Brij Mohan Lal Srivastava, Nathalie Vauquier, Md. Sahidullah, Aurélien Bellet, Marc Tommasi, Emmanuel Vincent:
Evaluating Voice Conversion-Based Privacy Protection against Informed Attackers. 2802-2806 - Onur Günlü, Rafael F. Schaefer:
Low-Complexity and Reliable Transforms for Physical Unclonable Functions. 2807-2811 - Olga Taran, Slavi Bonev, Taras Holotyak, Slava Voloshynovskiy:
Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World. 2812-2816 - Riccardo Castelletto, Simone Milani, Paolo Bestagini:
Phylogenetic Minimum Spanning Tree Reconstruction Using Autoencoders. 2817-2821 - Hao Yang, Zhongliang Yang, YongJian Bao, Sheng Liu, Yongfeng Huang:
FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis Of VoIP Stream Via Multi-Head Attention. 2822-2826 - Jianhua Yang, Huilin Zheng, Xiangui Kang, Yun-Qing Shi:
Approaching Optimal Embedding In Audio Steganography With GAN. 2827-2831 - Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao:
Multi-Stage Residual Hiding for Image-Into-Audio Steganography. 2832-2836 - Hanzhou Wu:
Patch-Level Selection and Breadth-First Prediction Strategy for Reversible Data Hiding. 2837-2841 - Wan Soo Kim, Kyogu Lee:
Digital Watermarking For Protecting Audio Classification Datasets. 2842-2846 - Shilong Yang:
Saliency-Based Image Contrast Enhancement with Reversible Data Hiding. 2847-2851 - Zhi Li, Haoliang Li, Kwok-Yan Lam, Alex ChiChung Kot:
Unseen Face Presentation Attack Detection with Hypersphere Loss. 2852-2856 - Farid Tajaddodianfar, Jack W. Stokes, Arun Gururajan:
Texception: A Character/Word-Level Deep Learning Model for Phishing URL Detection. 2857-2861 - Baki Berkay Yilmaz, Elvan Mert Ugurlu, Alenka G. Zajic, Milos Prvulovic:
Cell-Phone Classification: A Convolutional Neural Network Approach Exploiting Electromagnetic Emanations. 2862-2866 - Miguel Angel Gutierrez-Estevez, Zoran Utkovski, Patrick Agostini, Daniel Schäufele, Matthias Frey, Igor Bjelakovic, Slawomir Stanczak:
Quality-of-Service Prediction for Physical-layer Security via Secrecy Maps. 2867-2871 - Wafa Labidi, Christian Deppe, Holger Boche:
Secure Identification for Gaussian Channels. 2872-2876 - Chen Han, Aijun Liu, Liangyu Huo, Haichao Wang, Xiaohu Liang:
Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach. 2877-2881 - Florian Lemarchand, Cyril Marlin, Florent Montreuil, Erwan Nogues, Maxime Pelcat:
Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification. 2882-2886 - Jack W. Stokes, Rakshit Agrawal, Geoff McDonald:
Detection of Malicious Vbscript Using Static and Dynamic Analysis with Recurrent Deep Learning. 2887-2891 - Zahra Zohrevand, Uwe Glässer:
Dynamic Attack Scoring Using Distributed Local Detectors. 2892-2896 - Xiyu Yan, Xuesong Chen, Yong Jiang, Shu-Tao Xia, Yong Zhao, Feng Zheng:
Hijacking Tracker: A Powerful Adversarial Attack on Visual Tracking. 2897-2901 - Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin:
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. 2902-2906 - Emily H. Do, Vijay Gadepally:
Classifying Anomalies for Network Security. 2907-2911 - Andrey Garnaev, Athina P. Petropulu, Wade Trappe, H. Vincent Poor:
A Switching Transmission Game with Latency as the User's Communication Utility. 2912-2916 - Benjamin E. Gardner, John D. Roth:
An Efficient Methodology to De-Anonymize the 5G-New Radio Physical Downlink Control Channel. 2917-2921 - Marzieh Gheisari, Teddy Furon, Laurent Amsaleg:
Joint Learning of Assignment and Representation for Biometric Group Membership. 2922-2926 - Bangzhou Xin, Wei Yang, Yangyang Geng, Sheng Chen, Shaowei Wang, Liusheng Huang:
Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning. 2927-2931 - Ying Xu, Yi Wang, Jiajun Liang, Yong Jiang:
Augmentation Data Synthesis Via Gans: Boosting Latent Fingerprint Reconstruction. 2932-2936 - Jiguo Li, Xinfeng Zhang, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao:
Learning to Fool the Speaker Recognition. 2937-2941 - Dongmei Peng, Jing Xiao, Rong Zhu, Ge Gao:
Ts-Fen: Probing Feature Selection Strategy for Face Anti-Spoofing. 2942-2946 - Amir Mohammadi, Sushil Bhattacharjee, Sébastien Marcel:
Improving Cross-Dataset Performance of Face Presentation Attack Detection Systems Using Face Recognition Datasets. 2947-2951 - Xi Wu, Zhen Xie, YuTao Gao, Yu Xiao:
SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features. 2952-2956 - Bruno Peixoto, Bahram Lavi, Paolo Bestagini, Zanoni Dias, Anderson Rocha:
Multimodal Violence Detection in Videos. 2957-2961 - Owen Mayer, Brian C. Hosler, Matthew C. Stamm:
Open Set Video Camera Model Verification. 2962-2966 - Mohit Lamba, Kaushik Mitra:
Multi-Patch Aggregation Models for Resampling Detection. 2967-2971 - Rafael Padilha, Fernanda A. Andaló, Anderson Rocha:
Improving the Chronological Sorting of Images through Occlusion: A Study on the Notre-Dame Cathedral Fire. 2972-2976 - Mauro Barni, Ehsan Nowroozi, Benedetta Tondi, Bowen Zhang:
Effectiveness of Random Deep Feature Selection for Securing Image Manipulation Detectors Against Adversarial Examples. 2977-2981 - Rongyu Zhang, Jiangqun Ni:
A Dense U-Net with Cross-Layer Intersection for Detection and Localization of Image Forgery. 2982-2986 - Akihiko Sugiyama:
Fast Start-Up Algorithm for Adaptive Noise Cancellers with Novel SNR Estimation and Stepsize Control. 2987-2991 - Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi, Hulya Seferoglu, Mehmet Fatih Erden, A. Enis Çetin:
Robust and Computationally-Efficient Anomaly Detection Using Powers-Of-Two Networks. 2992-2996 - Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli, Guillaume Bao, Eric Azabou:
Semi-Supervised Optimal Transport Methods for Detecting Anomalies. 2997-3001 - Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi:
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data. 3002-3006 - Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. 3007-3011 - Qingsong Wen, Zhengzhi Ma, Liang Sun:
On Robust Variance Filtering and Change of Variance Detection. 3012-3016 - Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. 3017-3021 - Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny:
Improving Efficiency in Large-Scale Decentralized Distributed Training. 3022-3026 - Kai Chen, Haisong Ding, Qiang Huo:
Parallelizing Adam Optimizer with Blockwise Model-Update Filtering. 3027-3031 - Masahito Togami:
Joint Training of Deep Neural Networks for Multi-Channel Dereverberation and Speech Source Separation. 3032-3036 - Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen:
Structural Sparsification for Far-Field Speaker Recognition with Intel® Gna. 3037-3041 - Jun Yang, Joshua Bingham:
Environment-Aware Reconfigurable Noise Suppression. 3042-3046 - Takaya Kawakatsu, Kenro Aihara, Atsuhiro Takasu, Jun Adachi:
Fully-Neural Approach to Heavy Vehicle Detection on Bridges Using a Single Strain Sensor. 3047-3051 - Gonzalo Safont, Addisson Salazar, Alberto Rodriguez, Luis Vergara:
Multichannel Signal Processing for Road Surface Identification. 3052-3056 - Seok-Jun Bu, Namu Park, Gue-Hwan Nam, Jae-Yong Seo, Sung-Bae Cho:
A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear. 3057-3061 - Rachad Atat, Muhammad Ismail, Erchin Serpedin:
Stochastic Geometry Planning of Electric Vehicles Charging Stations. 3062-3066 - Shuai Zheng, Chetan Gupta:
Discriminant Generative Adversarial Networks with its Application to Equipment Health Classification. 3067-3071 - Foroohar Foroozan, Di David Xue, Ken Fang, Jian Shu James Wu:
Power Optimization Using Embedded Automatic Gain Control Algorithm with Photoplethysmography Signal Quality Classification. 3072-3076 - Shulai Zhang, Xiaoli Ma:
A General Difficulty Control Algorithm for Proof-of-Work Based Blockchains. 3077-3081 - Addisson Salazar, Gonzalo Safont, Luis Vergara:
A New Application of Ultrasound Signal Processing for Archaeological Ceramic Classification. 3082-3086 - Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu:
Headless Horseman: Adversarial Attacks on Transfer Learning Models. 3087-3091 - Mubarak G. Abdu-Aguye, Walid Gomaa, Yasushi Makihara, Yasushi Yagi:
Detecting Adversarial Attacks In Time-Series Data. 3092-3096 - Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich:
Detection of Adversarial Attacks and Characterization of Adversarial Subspace. 3097-3101 - Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan:
Adversarial Example Detection by Classification for Deep Speech Recognition. 3102-3106 - Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee:
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement. 3107-3111 - Guanlin Liu, Lifeng Lai:
Action-Manipulation Attacks on Stochastic Bandits. 3112-3116 - Songwei Wu, Hang Yu, Justin Dauwels:
Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. 3117-3121 - Arnab Sanyal, Peter A. Beerel, Keith M. Chugg:
Neural Network Training with Approximate Logarithmic Computations. 3122-3126 - Tomer Lancewicki, Selçuk Köprü:
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient-based Optimization Methods. 3127-3131 - Navid Azizan, Sahin Lale, Babak Hassibi:
A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models. 3132-3136 - Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney:
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. 3137-3141 - Meng Ma, Georgios B. Giannakis:
Preconditioning ADMM for Fast Decentralized Optimization. 3142-3146 - Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis:
Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. 3147-3151 - Mert Al, Zejiang Hou, Sun-Yuan Kung:
Scalable Kernel Learning Via the Discriminant Information. 3152-3156 - Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian:
Arsm Gradient Estimator for Supervised Learning to Rank. 3157-3161 - Babak Barazandeh, Meisam Razaviyayn:
Solving Non-Convex Non-Differentiable Min-Max Games Using Proximal Gradient Method. 3162-3166 - Qianxin Yi, Chenhao Wang, Xiuwu Liao, Yao Wang:
A Fast and Accurate Frequent Directions Algorithm for Low Rank Approximation via Block Krylov Iteration. 3167-3171 - Feng Lin, Qing Ling, Weiyu Li, Zhiwei Xiong:
Stochastic Admm For Byzantine-Robust Distributed Learning. 3172-3176 - Bowen Liu, Ang Cao, Hun-Seok Kim:
Unified Signal Compression Using Generative Adversarial Networks. 3177-3181 - Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou:
Wind: Wasserstein Inception Distance For Evaluating Generative Adversarial Network Performance. 3182-3186 - Shuai Zheng, Chetan Gupta:
Trace Norm Generative Adversarial Networks for Sensor Generation and Feature Extraction. 3187-3191 - Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair:
Mahalanobis Distance Based Adversarial Network for Anomaly Detection. 3192-3196 - Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANS for Multi-Modal Fusion. 3197-3201 - Yungang Pan, Ke Liu, Zhaoyan Shen, Xiaojun Cai, Zhiping Jia:
Sequence-To-Subsequence Learning With Conditional Gan For Power Disaggregation. 3202-3206 - Giorgia Dellaferrera, Flavio Martinelli, Milos Cernak:
A Bin Encoding Training of a Spiking Neural Network Based Voice Activity Detection. 3207-3211 - Lahcen El Bouny, Mohammed Khalil, Abdellah Adib:
ECG Heartbeat Classification Based on Multi-Scale Wavelet Convolutional Neural Networks. 3212-3216 - Pritam Sarkar, Ali Etemad:
Self-Supervised Learning for ECG-Based Emotion Recognition. 3217-3221 - Soheil Rayatdoost, David Rudrauf, Mohammad Soleymani:
Expression-Guided EEG Representation Learning for Emotion Recognition. 3222-3226 - Darshana Priyasad, Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Attention Driven Fusion for Multi-Modal Emotion Recognition. 3227-3231 - Ibrahim Ayed, Emmanuel de Bézenac, Arthur Pajot, Patrick Gallinari:
Learning the Spatio-Temporal Dynamics of Physical Processes from Partial Observations. 3232-3236 - Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian Regularization for Sparse Spectral Community Detection. 3237-3241 - Barbara Pilastre, Gustavo Silva, Loïc Boussouf, Stéphane D'Escrivan, Paul Rodríguez, Jean-Yves Tourneret:
Anomaly Detection in Mixed Time-Series Using A Convolutional Sparse Representation With Application To Spacecraft Health Monitoring. 3242-3246 - Srinidhi Hegde, Ranjitha Prasad, Ramya Hebbalaguppe, Vishwajeet Kumar:
Variational Student: Learning Compact and Sparser Networks In Knowledge Distillation Framework. 3247-3251 - Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis:
Low Rank Activations for Tensor-Based Convolutional Sparse Coding. 3252-3256 - Pascal A. Schirmer, Iosif Mporas:
Energy Disaggregation Using Fractional Calculus. 3257-3261 - Bingqing Chen, Jingxiao Liu, Henning Lange, Mario Bergés:
Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation. 3262-3266 - Ting-Yao Hu, Ashish Shrivastava, Oncel Tuzel, Chandra Dhir:
Unsupervised Style and Content Separation by Minimizing Mutual Information for Speech Synthesis. 3267-3271 - Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde:
Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy. 3272-3276 - Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans:
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. 3277-3281 - Kyle Gilman, Laura Balzano:
Online Tensor Completion and Free Submodule Tracking With The T-SVD. 3282-3286 - Riku Akema, Masao Yamagishi, Isao Yamada:
Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization. 3287-3291 - Zhiyu Cheng, Baopu Li, Yanwen Fan, Yingze Bao:
A Novel Rank Selection Scheme in Tensor Ring Decomposition Based on Reinforcement Learning for Deep Neural Networks. 3292-3296 - Hailin Wang, Feng Zhang, Jianjun Wang, Yao Wang:
Estimating Structural Missing Values Via Low-Tubal-Rank Tensor Completion. 3297-3301 - Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang:
Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. 3302-3306 - Felix Wiewel, Andreas Brendle, Bin Yang:
Continual Learning Through One-Class Classification Using VAE. 3307-3311 - Kento Uemura, Shohei Shimizu:
Estimation of Post-Nonlinear Causal Models Using Autoencoding Structure. 3312-3316 - Chinmaya Devaraj, Aritra Chowdhury, Arpit Jain, James R. Kubricht, Peter H. Tu, Alberto Santamaría-Pang:
From Symbols to Signals: Symbolic Variational Autoencoders. 3317-3321 - Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis:
Graph Auto-Encoder for Graph Signal Denoising. 3322-3326 - Zehao Don, Weinan E, Chao Ma:
A Priori Estimates of the Generalization Error for Autoencoders. 3327-3331 - Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay:
GFCN: A New Graph Convolutional Network Based on Parallel Flows. 3332-3336 - Sudhakar Kumawat, Shanmuganathan Raman:
Depthwise-STFT Based Separable Convolutional Neural Networks. 3337-3341 - Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian:
Semi-Implicit Stochastic Recurrent Neural Networks. 3342-3346 - Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen:
Feedback Recurrent Autoencoder. 3347-3351 - Pedro Gonnet, Thomas Deselaers:
Indylstms: Independently Recurrent LSTMS. 3352-3356 - Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. 3357-3361 - Seunghyun Yoon, Subhadeep Dey, Hwanhee Lee, Kyomin Jung:
Attentive Modality Hopping Mechanism for Speech Emotion Recognition. 3362-3366 - Alireza Sepas-Moghaddam, S. Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM. 3367-3371 - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
A Regularized Attention Mechanism for Graph Attention Networks. 3372-3376 - Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2vec: Neural Attentive User Representations. 3377-3381 - Xianjun Xia, Jingjing Pan, Yannan Wang:
Audio Sound Determination Using Feature Space Attention Based Convolution Recurrent Neural Network. 3382-3386 - Kangbo Sun, Lin Li, Lianqiang Li, Ningyu He, Jie Zhu:
Spatial Attentional Bilinear 3D Convolutional Network for Video-Based Autism Spectrum Disorder Detection. 3387-3391 - Ahmadreza Moradipari, Mahnoosh Alizadeh, Christos Thrampoulidis:
Linear Thompson Sampling Under Unknown Linear Constraints. 3392-3396 - Hiromi Narimatsu, Hiroyuki Kasai:
Overlapped State Hidden Semi-Markov Model for Grouped Multiple Sequences. 3397-3401 - Minghe Zhang, Liyan Xie, Yao Xie:
Online Community Detection by Spectral Cusum. 3402-3406 - Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma:
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning. 3407-3411 - Yuanxing Zhang, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui, Xiaoming Li:
Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer. 3412-3416 - Javad Parsa, Mostafa Sadeghi, Massoud Babaie-Zadeh, Christian Jutten:
Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation. 3417-3421 - Chunsheng Liu, Chunlei Chen, Hong Shan, Bin Wang:
Robust Online Matrix Completion with Gaussian Mixture Model. 3422-3426 - Sunwoo Kim, Luong Trung Nguyen, Byonghyo Shim:
Deep Neural Network Based Matrix Completion for Internet of Things Network Localization. 3427-3431 - Jiaxi Wang, Karel Mundnich, Allison T. Knoll, Pat Levitt, Shrikanth Narayanan:
Bringing in the Outliers: A Sparse Subspace Clustering Approach to Learn a Dictionary of Mouse Ultrasonic Vocalizations. 3432-3436 - Geethu Joseph, Swatantra Kafle, Pramod K. Varshney:
One-Bit Compressed Sensing Using Generative Models. 3437-3441 - Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. 3442-3446 - Cat P. Le, Yi Zhou, Jie Ding, Vahid Tarokh:
Supervised Encoding for Discrete Representation Learning. 3447-3451 - Miguel S. Joaquim, Rita Maçorano, Francisca Canais, Rafael Ramos, Ana Luísa Nobre Fred, Marco Torrado, Hugo Alexandre Ferreira:
Learning Data Representation and Emotion Assessment from Physiological Data. 3452-3456 - Xueyuan Xu, Xia Wu:
Feature Selection Under Orthogonal Regression with Redundancy Minimizing. 3457-3461 - Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. 3462-3466 - Clément Feutry, Pablo Piantanida, Pierre Duhamel:
Learning Semi-Supervised Anonymized Representations by Mutual Information. 3467-3471 - Xincheng Li, Yanwei Pang, Yuefeng Wu, Yazhao Li:
Learning Local Structure of Representative Points for Point Cloud Classification and Semantic Segmentation. 3472-3476 - Nikonas Simou, Yiannis Mastorakis, Nikolaos Stefanakis:
Towards Blind Quality Assessment of Concert Audio Recordings Using Deep Neural Networks. 3477-3481 - Jianyu Fan, Eric Nichols, Daniel Tompkins, Ana Elisa Méndez Méndez, Benjamin Elizalde, Philippe Pasquier:
Multi-Label Sound Event Retrieval Using A Deep Learning-Based Siamese Structure With A Pairwise Presence Matrix. 3482-3486 - Triantafyllos Kefalas, Konstantinos Vougioukas, Yannis Panagakis, Stavros Petridis, Jean Kossaifi, Maja Pantic:
Speech-Driven Facial Animation Using Polynomial Fusion of Features. 3487-3491 - Yiqing Feng, Guanyu Fu, Qingcai Chen, Kai Chen:
SED-MDD: Towards Sentence Dependent End-To-End Mispronunciation Detection and Diagnosis. 3492-3496 - Yu-An Chung, James R. Glass:
Generative Pre-Training for Speech with Autoregressive Predictive Coding. 3497-3501 - Georgios Rizos, Alice Baird, Max Elliott, Björn W. Schuller:
Stargan for Emotional Speech Conversion: Validated by Data Augmentation of End-To-End Emotion Recognition. 3502-3506 - Jian Huang, Jianhua Tao, Bin Liu, Zheng Lian, Mingyue Niu:
Multimodal Transformer Fusion for Continuous Emotion Recognition. 3507-3511 - Jian Song, Kailai Zhang, Xuesi Zhou, Ji Wu:
HKA: A Hierarchical Knowledge Attention Mechanism for Multi-Turn Dialogue System. 3512-3516 - Jun Qi, Chao-Han Huck Yang, Javier Tejedor:
Submodular Rank Aggregation on Score-Based Permutations for Distributed Automatic Speech Recognition. 3517-3521 - Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang:
Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. 3522-3526 - Beat Gfeller, Christian Havnø Frank, Dominik Roblek, Matthew Sharifi, Marco Tagliasacchi, Mihajlo Velimirovic:
Pitch Estimation Via Self-Supervision. 3527-3531 - Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Hierarchical Caching via Deep Reinforcement Learning. 3532-3536 - Siqi Shen, Yongquan Fu, Adele Lu Jia, Huayou Su, Qinglin Wang, Chengsong Wang, Yong Dou:
Learning Network Representation Through Reinforcement Learning. 3537-3541 - Patrik Reizinger, Márton Szemenyei:
Attention-Based Curiosity-Driven Exploration in Deep Reinforcement Learning. 3542-3546 - Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang, Chao Wang:
Stabilizing Multi-Agent Deep Reinforcement Learning by Implicitly Estimating Other Agents' Behaviors. 3547-3551 - Penghao Sun, Zehua Guo, Sen Liu, Julong Lan, Yuxiang Hu:
QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning. 3552-3556 - Penghao Sun, Julong Lan, Zehua Guo, Yang Xu, Yuxiang Hu:
Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes. 3557-3561 - Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Generalized Linear Bandits with Safety Constraints. 3562-3566 - Janne Karttunen, Anssi Kanervisto, Ville Kyrki, Ville Hautamäki:
From Video Game to Real Robot: The Transfer Between Action Spaces. 3567-3571 - Samarth Gupta, Gauri Joshi, Osman Yagan:
Correlated Multi-Armed Bandits with A Latent Random Source. 3572-3576 - Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls:
Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. 3577-3581 - Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. 3582-3586 - Shashini De Silva, Jinsub Kim, Raviv Raich:
Cost Aware Adversarial Learning. 3587-3591 - Shakarim Soltanayev, Raja Giryes, Se Young Chun, Yonina C. Eldar:
On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. 3592-3596 - Youngsuk Park, Sauptik Dhar, Stephen P. Boyd, Mohak Shah:
Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize. 3597-3601 - Bingcong Li, Mario Coutiño, Georgios B. Giannakis:
Revisit of Estimate Sequence for Accelerated Gradient Methods. 3602-3606 - Samuele Battaglino, Erdem Koyuncu:
A Generalization of Principal Component Analysis. 3607-3611 - Linghang Meng, Yuchen Jiao, Yuantao Gu:
An Easy-to-Implement Framework of Fast Subspace Clustering For Big Data Sets. 3612-3616 - Subhajit Chaudhury, Toshihiko Yamasaki:
Investigating Generalization in Neural Networks Under Optimally Evolved Training Perturbations. 3617-3612 - Yufei Wang, Haoliang Li, Alex C. Kot:
Heterogeneous Domain Generalization Via Domain Mixup. 3622-3626 - Samuel C. Maina, Reginald E. Bryant, William O. Ogallo, Kush R. Varshney, Skyler Speakman, Celia Cintas, Aisha Walcott-Bryant, Robert-Florian Samoilescu, Komminist Weldemariam:
Preservation of Anomalous Subgroups On Variational Autoencoder Transformed Data. 3627-3631 - Jayaraman J. Thiagarajan, Bindya Venkatesh, Deepta Rajan:
Learn-By-Calibrating: Using Calibration As A Training Objective. 3632-3636 - Nathanaël Carraz Rakotonirina, Andry Rasoanaivo:
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network. 3637-3641 - Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. 3642-3646 - Zejiang Hou, Sun-Yuan Kung:
Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning. 3647-3651 - Arda Efe Okay, Manal Al Ghamdi, Robert Westendorp, Mohamed Abdel-Mottaleb:
Multi-Resolution Overlapping Stripes Network for Person Re-Identification. 3652-3656 - George Retsinas, Panayiotis Paraskevas Filntisis, Niki Efthymiou, Emmanouil Theodosis, Athanasia Zlatintsi, Petros Maragos:
Person Identification Using Deep Convolutional Neural Networks on Short-Term Signals from Wearable Sensors. 3657-3661 - Chao Zhao, Zhenyu Zhang, Jian Yan, Yan Yan:
Local-Global Feature for Video-Based One-Shot Person Re-Identification. 3662-3666 - Jintao Wu, Wu Luo, Weiwei Liu, Chongyang Zhang:
Global and Local Discriminative Patches Exploiting for Action Recognition. 3667-3671 - Yuanyi Zhong, Alexander G. Schwing, Jian Peng:
Disentangling Controllable Object Through Video Prediction Improves Visual Reinforcement Learning. 3672-3676 - Alexander Sagel, Hao Shen:
Dynamic Variational Autoencoders for Visual Process Modeling. 3677-3681 - Xianfeng Li, Zichun Weng, Juntao Liang, Lei Cei, Youjun Xiang, Yuli Fu:
A Novel Two-Pathway Encoder-Decoder Network for 3D Face Reconstruction. 3682-3686 - Robert Skupin, Kai Bitterschulte, Yago Sanchez, Cornelius Hellge, Thomas Schierl:
Rate Assignment in 360-Degree Video Tiled Streaming Using Random Forest Regression. 3687-3691 - Guanchao Feng, Kezi Yu, Yunlong Wang, Yilian Yuan, Petar M. Djuric:
Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes. 3692-3696 - Tsung-Hung Hsieh, Jun-Cheng Chen, Chu-Song Chen:
Label Reuse for Efficient Semi-Supervised Learning. 3697-3701 - Tharindu Adikari, Stark C. Draper:
Decentralized Optimization with Non-Identical Sampling in Presence of Stragglers. 3702-3706 - Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye:
Content Vs Context: How About "Walking Hand-In-Hand" For Image Clustering? 3707-3711 - Yuma Kinoshita, Hitoshi Kiya:
Fixed Smooth Convolutional Layer for Avoiding Checkerboard Artifacts in CNNS. 3712-3716 - Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju:
LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery. 3722-3726 - Yuhua Tang, Zhipeng Lin, Haotian Wang, Liyang Xu:
Adversarial Mixup Synthesis Training for Unsupervised Domain Adaptation. 3727-3731 - Kaushik Koneripalli, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga:
Rate-Invariant Autoencoding of Time-Series. 3732-3736 - Bowen Zhao, Xi Xiao, Wanpeng Zhang, Bin Zhang, Guojun Gan, Shutao Xia:
Self-Paced Probabilistic Principal Component Analysis For Data With Outliers. 3737-3741 - Yuyuan Zeng, Tao Dai, Shu-Tao Xia:
Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. 3742-3746 - Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi:
Witchcraft: Efficient PGD Attacks with Random Step Size. 3747-3751 - Ken O'Hanlon, Mark B. Sandler:
The Fifthnet Chroma Extractor. 3752-3756 - Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh:
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. 3757-3761 - Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms. 3762-3766 - Mingcheng He, Xiliang Luo, Zixin Wang, Fuqian Yang, Hua Qian, Cunqing Hua:
Global Traffic State Recovery VIA Local Observations with Generative Adversarial Networks. 3767-3771 - Shiva R. Iyer, Ulzee An, Lakshminarayanan Subramanian:
Forecasting Sparse Traffic Congestion Patterns Using Message-Passing RNNS. 3772-3776 - Pascal A. Schirmer, Iosif Mporas:
Energy Disaggregation from Low Sampling Frequency Measurements Using Multi-Layer Zero Crossing Rate. 3777-3781 - Pol Henarejos, Miguel Ángel Vázquez:
Decoding 5G-NR Communications VIA Deep Learning. 3782-3786 - Jun-Wei Liu, Hung-Yi Lin, Yu-Fen Huang, Hsuan-Kai Kao, Li Su:
Body Movement Generation for Expressive Violin Performance Applying Neural Networks. 3787-3791 - Zheng Dong, Yifei Yang, Yao Xie:
Sequential Vessel Trajectory Identification Using Truncated Viterbi Algorithm. 3792-3796 - Guillaume Doras, Geoffroy Peeters:
A Prototypical Triplet Loss for Cover Detection. 3797-3801 - Jiwoo Mun, Seok Hyeon Ha, Jungwoo Lee:
Automotive Radar Signal Interference Mitigation Using RNN with Self Attention. 3802-3806 - Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan:
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. 3807-3811 - Alper T. Erdogan, Cengiz Pehlevan:
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules. 3812-3816 - Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn:
Modeling Piece-Wise Stationary Time Series. 3817-3821 - Petros Maragos, Emmanouil Theodosis:
Multivariate Tropical Regression and Piecewise-Linear Surface Fitting. 3822-3826 - Zhen Xiang, David J. Miller, George Kesidis:
Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. 3827-3831 - Nguyen Q. Tran, Henrik Ambos, Alexander Jung:
Classifying Partially Labeled Networked Data VIA Logistic Network Lasso. 3832-3836 - Keisuke Kawano, Takuro Kutsuna, Satoshi Koide:
Neural Time Warping for Multiple Sequence Alignment. 3837-3841 - Guangli Li, Lei Liu, Xueying Wang, Xiu Ma, Xiaobing Feng:
Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units. 3842-3846 - Sunil Bharitkar:
Media Classification with Bayesian Optimization and Vapnik-Chervonenkis (VC) Bounds. 3847-3851 - Magnus T. Koudahl, Bert de Vries:
Batman: Bayesian Target Modelling For Active Inference. 3852-3856 - P. Liotet, Patrice Abry, Roberto F. Leonarduzzi, Marc Senneret, Laurent Jaffrès, Gerald Perrin:
Deep Learning Abilities to Classify Intricate Variations in Temporal Dynamics of Multivariate Time Series. 3857-3861 - Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet:
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. 3862-3866 - Tian-Rui Liu, Jun-Jie Huang, Tianhong Dai, Guangyu Ren, Tania Stathaki:
Gated Multi-Layer Convolutional Feature Extraction Network for Robust Pedestrian Detection. 3867-3871 - Akira Tanaka, Hideyuki Imai:
Kernel Ridge Regression with Autocorrelation Prior: Optimal Model and Cross-Validation. 3872-3876 - Patrick Héas, Cédric Herzet, Benoît Combès:
Generalized Kernel-Based Dynamic Mode Decomposition. 3877-3881 - Jing Guo, Raghu G. Raj, David J. Love:
An Online Kernel Scalar Quantization Scheme for Signal Classification. 3882-3886 - Mario Coutino, Georgios Vasileios Karanikolas, Geert Leus, Georgios B. Giannakis:
Self-Driven Graph Volterra Models for Higher-Order Link Prediction. 3887-3891 - Sarath Shekkizhar, Antonio Ortega:
Graph Construction from Data by Non-Negative Kernel Regression. 3892-3896 - Daniel Cummings, Marcel Nassar:
Structured Citation Trend Prediction Using Graph Neural Networks. 3897-3901 - Cheng-Long Wang, Feiping Nie, Rong Wang, Xuelong Li:
Revisiting Fast Spectral Clustering with Anchor Graph. 3902-3906 - Juan Parras, Santiago Zazo:
A Graph Network Model for Distributed Learning with Limited Bandwidth Links and Privacy Constraints. 3907-3911 - Seyyid Emre Sofuoglu, Selin Aviyente:
Graph Regularized Tensor Train Decomposition. 3912-3916 - Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition. 3917-3921 - Kejun Huang, Xiao Fu:
Low-Complexity Levenberg-Marquardt Algorithm for Tensor Canonical Polyadic Decomposition. 3922-3926 - Arthur Marmin, Marc Castella, Jean-Christophe Pesquet:
A Moment-Based Approach for Guaranteed Tensor Decomposition. 3927-3931 - Liangyu Huo, Zulin Wang, Mai Xu, Yuhang Song:
Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. 3932-3936 - Stefano Savazzi, Monica Nicoli, Vittorio Rampa, Sanaz Kianoush:
Federated Learning with Mutually Cooperating Devices: A Consensus Approach Towards Server-Less Model Optimization. 3937-3941 - Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu:
No-Regret Non-Convex Online Meta-Learning. 3942-3946 - Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchrounous Decentralized Learning of a Neural Network. 3947-3951 - Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt:
Learning Perception and Planning With Deep Active Inference. 3952-3956 - Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta, Adrish Banerjee:
Projection Free Dynamic Online Learning. 3957-3961 - Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations From Data Using Neural Networks. 3962-3966 - Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis:
Active Learning with Unsupervised Ensembles of Classifiers. 3967-3971 - Farzaneh S. Fard, Arash Rad, Vikrant Singh Tomar:
Nasil: Neural Architecture Search with Imitation Learning. 3972-3976 - Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li:
Multi-View Clustering Via Mixed Embedding Approximation. 3977-3981 - Stefano Gasperini, Magdalini Paschali, Carsten Hopke, David Wittmann, Nassir Navab:
Signal Clustering With Class-Independent Segmentation. 3982-3986 - Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava:
Mango: A Python Library for Parallel Hyperparameter Tuning. 3987-3991 - Haider Al-Lawati, Stark C. Draper:
Anytime Minibatch with Delayed Gradients: System Performance and Convergence Analysis. 3992-3996 - Tiexing Wang, Yang Liu, Biao Chen:
On Exponentially Consistency of Linkage-Based Hierarchical Clustering Algorithm Using Kolmogrov-Smirnov Distance. 3997-4001 - Paul M. Baggenstoss:
A Neural Network Based on First Principles. 4002-4006 - Majed El Helou, Frederike Dümbgen, Sabine Süsstrunk:
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks. 4007-4011 - Taehyeong Kim, Injune Hwang, Gi-Cheon Kang, Won-Seok Choi, Hyunseo Kim, Byoung-Tak Zhang:
Label Propagation Adaptive Resonance Theory for Semi-Supervised Continuous Learning. 4012-4016 - Hojjat Salehinejad, Shahrokh Valaee:
A Probabilistic Scheme for Representation Learning with Radial Transform Images. 4017-4021 - Chris Cannella, Jie Ding, Mohammadreza Soltani, Yi Zhou, Vahid Tarokh:
Perception-Distortion Trade-Off with Restricted Boltzmann Machines. 4022-4026 - Martin Pöllot, Rui Zhang, André Kaup:
Anefficient Alternative to Network Pruning Through Ensemble Learning. 4027-4031 - Amir Ehsan Khorashadi-Zadeh, Massoud Babaie-Zadeh, Christian Jutten:
A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation. 4032-4036 - Yaniv Opochinsky, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
K-Autoencoders Deep Clustering. 4037-4041 - Xiangxiang Chu, Bo Zhang, Ruijun Xu:
MoGA: Searching Beyond Mobilenetv3. 4042-4046 - Jian Guan, Jiabei Liu, Jianguo Sun, Pengming Feng, Tong Shuai, Wenwu Wang:
Meta Metric Learning for Highly Imbalanced Aerial Scene Classification. 4047-4051 - Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou:
Synthetic Crowd and Pedestrian Generator for Deep Learning Problems. 4052-4056 - Pengming Feng, Youtian Lin, Jian Guan, Guangjun He, Huifeng Shi, Jonathon A. Chambers:
TOSO: Student's-T Distribution Aided One-Stage Orientation Target Detection in Remote Sensing Images. 4057-4061 - Lahiru D. Chamain, Zhi Ding:
Improving Deep Learning Classification of JPEG2000 Images Over Bandlimited Networks. 4062-4066 - Pietro Morbidelli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi:
Augmented Grad-CAM: Heat-Maps Super Resolution Through Augmentation. 4067-4071 - Yi Hou, Chengyang Li, Fan Yang, Cong Ma, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie:
BBA-NET: A Bi-Branch Attention Network For Crowd Counting. 4072-4076 - Jingran Su, Yang Zhao, Xuelong Li:
Deep Metric Learning Based On Center-Ranked Loss for Gait Recognition. 4077-4081 - Ying Hu, Hanyu Xuan, Jian Yang, Yan Yan:
Channel Attention Based Generative Network for Robust Visual Tracking. 4082-4086 - Haozhe Wu, Jia Jia, Lingxi Xie, Guojun Qi, Yuanchun Shi, Qi Tian:
Cross-VAE: Towards Disentangling Expression from Identity For Human Faces. 4087-4091 - Xi-Peng Lin, Yu-Bin Yang, Zhonghan Niu:
Enhance Part-Based Model for Person Re-Identification with Fused Multi-Scale Features. 4092-4096 - William Lund Sommer, Alexandros Iosifidis:
Text-To-Image Synthesis Method Evaluation Based On Visual Patterns. 4097-4101 - Sander M. Boelders, Venkata Srikanth Nallanthighal, Vlado Menkovski, Aki Härmä:
Detection of Mild Dyspnea from Pairs of Speech Recordings. 4102-4106 - Niloufar Abaei, Hussein Al Osman:
A Hybrid Model for Bipolar Disorder Classification from Visual Information. 4107-4111 - Phillip Wallis, Daniel Yaeger, Alexander Kain, Xubo Song, Miranda Lim:
Automatic Event Detection of REM Sleep Without Atonia From Polysomnography Signals Using Deep Neural Networks. 4112-4116 - Tamás Karácsony, Anna Mira Loesch-Biffar, Christian Vollmar, Soheyl Noachtar, João Paulo Silva Cunha:
A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition. 4117-4121 - Marian Haescher, Florian Höpfner, Wencke Chodan, Dimitri Kraft, Mario Aehnelt, Bodo Urban:
Transforming Seismocardiograms Into Electrocardiograms by Applying Convolutional Autoencoders. 4122-4126 - Claude Cariou, Kacem Chehdi, Steven Le Moan:
Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images. 4127-4131 - Oded Bialer, David Shapiro, Amnon Jonas:
Object Surface Estimation from Radar Images. 4132-4136 - Guangshuai Gao, Qingjie Liu, Yunhong Wang:
Counting Dense Objects in Remote Sensing Images. 4137-4141 - Jinrui Jing, Qian Li, Xuan Peng, Qiang Ma, Shaoen Tang:
HPRNN: A Hierarchical Sequence Prediction Model for Long-Term Weather Radar Echo Extrapolation. 4142-4146 - Pedro Castro, Anil Armagan, Tae-Kyun Kim:
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction. 4147-4151 - Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri:
CPWC: Contextual Point Wise Convolution for Object Recognition. 4152-4156 - Michael Rotman, Lior Wolf:
Electric Analog Circuit Design with Hypernetworks And A Differential Simulator. 4157-4161 - Feng Ni, Zhipeng Luo, Xixin Cao, Zhenyu Xu, Yuehan Yao:
Multi-Task Learning Via SA-FPN and EJ-Head. 4162-4166 - Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini:
Differentiable Branching In Deep Networks for Fast Inference. 4167-4171 - Xinyi Liu, Yang Bai, Shu-Tao Xia, Yong Jiang:
Self-Adaptive Feature Fool. 4177-4181 - Anuththari Gamage, Eli Chien, Jianhao Peng, Olgica Milenkovic:
Multi-MotifGAN (MMGAN): Motif-Targeted Graph Generation And Prediction. 4182-4186 - Maria Peifer, Alejandro Ribeiro:
Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations. 4187-4191 - Georgios Smyrnis, Petros Maragos, George Retsinas:
Maxpolynomial Division with Application To Neural Network Simplification. 4192-4196 - Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han:
Balanced Binary Neural Networks with Gated Residual. 4197-4201 - Ujjal Kr Dutta, C. Chandra Sekhar:
A Geometric Approach for Unsupervised Similarity Learning. 4202-4206 - Haider Al-Lawati, Stark C. Draper:
Gradient Delay Analysis in Asynchronous Distributed Optimization. 4207-4211 - Maximilian Ernst Tschuchnig, Cornelia Ferner, Stefan Wegenkittl:
Sequential IoT Data Augmentation Using Generative Adversarial Networks. 4212-4216 - Ran Liu, Mulin Chen, Qi Wang, Xuelong Li:
Robust Rank Constrained Sparse Learning: A Graph-Based Method for Clustering. 4217-4221 - Heung-Chang Lee, Do-Guk Kim, Bohyung Han:
Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling. 4222-4226 - Jacob Søgaard Larsen, Line H. Clemmensen:
Weight Sharing and Deep Learning for Spectral Data. 4227-4231 - Muqiao Yang, Martin Q. Ma, Dongyu Li, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov:
Complex Transformer: A Framework for Modeling Complex-Valued Sequence. 4232-4236 - Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee:
High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. 4237-4241 - Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Projected Weight Regularization to Improve Neural Network Generalization. 4242-4246 - Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep Clustering for Domain Adaptation. 4247-4251 - Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales:
Deep Clusteringwith Concrete K-Means. 4252-4256 - Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust Cnns. 4257-4261 - Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb:
Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers. 4262-4266 - Zeyu Deng, Abla Kammoun, Christos Thrampoulidis:
A Model of Double Descent for High-Dimensional Logistic Regression. 4267-4271 - Liang Zhang, Yufei Liu, Hang Xiao, Lu Yang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Peiyi Shen:
Efficient Scene Text Detection with Textual Attention Tower. 4272-4276 - Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer:
A Hybrid Approach for Thermographic Imaging With Deep Learning. 4277-4281 - Dong Wang, Ying Shen, Hai-Tao Zheng:
Knowledge Enhanced Latent Relevance Mining for Question Answering. 4282-4286 - Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. 4287-4291 - Yuan Chen, Soummya Kar, José M. F. Moura:
Resilient Distributed Recovery of Large Fields. 4292-4296 - Yann Cherdo, Paul de Kerret, Renaud Pawlak:
Training LSTM for Unsupervised Anomaly Detection Without A Priori Knowledge. 4297-4301 - Lin Pan, Gege Qi, Biao Guo, Yuesheng Zhu:
Unsupervised Person Re-Identification Using Multi-Branch Feature Compensation Network and Link-Based Cluster Dissimilarity Metric. 4302-4306 - Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari:
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. 4307-4311 - Zhining Liu, Cheng Zhou, Guangmin Hu, Chengyun Song:
Interpretability-Guided Convolutional Neural Networks for Seismic Fault Segmentation. 4312-4316 - Jung Uk Kim, Seong Tae Kim, Eun Sung Kim, Sang-Keun Moon, Yong Man Ro:
Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation. 4317-4321 - Shuyu Lin, Ronald Clark, Robert Birke, Sandro Schönborn, Niki Trigoni, Stephen J. Roberts:
Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. 4322-4326 - Esbern Torgard Kaspersen, Tsampikos Kounalakis, Cumhur Erkut:
Hydranet: A Real-Time Waveform Separation Network. 4327-4331 - Melpomeni Dimopoulou, Marc Antonini, Pascal Barbry, Raja Appuswamy:
Storing Digital Data Into DNA: A Comparative Study Of Quaternary Code Construction. 4332-4336 - Shuai Zheng, Xiao-Ping (Steven) Zhang, Jian Chen, Yonghong Kuo:
A New Multihypothesis Prediction Scheme for Compressed Video Sensing Reconstruction. 4337-4341 - Saeed Ranjbar Alvar, Ivan V. Bajic:
Bit Allocation for Multi-Task Collaborative Intelligence. 4342-4346 - Mengshun Hu, Liang Liao, Jing Xiao, Lin Gu, Shin'ichi Satoh:
Motion Feedback Design for Video Frame Interpolation. 4347-4351 - Yasunori Ohishi, Akisato Kimura, Takahito Kawanishi, Kunio Kashino, David Harwath, James R. Glass:
Trilingual Semantic Embeddings of Visually Grounded Speech with Self-Attention Mechanisms. 4352-4356 - Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos, Stavros Petridis, Adrian Bulat, Jie Shen, Maja Pantic:
Towards Pose-Invariant Lip-Reading. 4357-4361 - Hao-Chun Yang, Chi-Chun Lee:
A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology. 4362-4366 - Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang:
Self-Supervised Learning for Audio-Visual Speaker Diarization. 4367-4371 - Janani Ramaswamy:
What Makes the Sound?: A Dual-Modality Interacting Network for Audio-Visual Event Localization. 4372-4376 - Ke Yang, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Peng Qiao, Xin Niu, Jie Jiang, Dongsheng Li, Yong Dou:
Attentional Fused Temporal Transformation Network for Video Action Recognition. 4377-4381 - Meihan Liu, Yongxing Dai, Yan Bai, Ling-Yu Duan:
Deep Product Quantization Module for Efficient Image Retrieval. 4382-4386 - Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue:
The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. 4387-4391 - Huadong Tan, Guang Wu, Pengcheng Zhao, Yanxiang Chen:
Spectrogram Analysis Via Self-Attention for Realizing Cross-Model Visual-Audio Generation. 4392-4396 - Zhongyun Hu, Xue Wang, Qing Wang:
DGAN: Disentangled Representation Learning for Anisotropic BRDF Reconstruction. 4397-4401 - Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. 4402-4406 - Matteo Riva, Michael Wand, Jürgen Schmidhuber:
Motion Dynamics Improve Speaker-Independent Lipreading. 4407-4411 - Lei Shi, Shijie Geng, Kai Shuang, Chiori Hori, Songxiang Liu, Peng Gao, Sen Su:
Multi-Layer Content Interaction Through Quaternion Product for Visual Question Answering. 4412-4416 - Ramin Ghaznavi Youvalari:
Linear Model-Based Intra Prediction in VVC Test Model. 4417-4421 - Yi Chen, Sam Kwong, Mingliang Zhou, Shiqi Wang, Guopu Zhu, Yi Wang:
Intra Frame Rate Control for Versatile Video Coding with Quadratic Rate-Distortion Modelling. 4422-4426 - Khurram Iqbal, Nabeel Khan, Maria G. Martini:
Performance Comparison of Lossless Compression Strategies for Dynamic Vision Sensor Data. 4427-4431 - An Dang, Toan H. Vu, Jia-Ching Wang:
Encoder-Recurrent Decoder Network for Single Image Dehazing. 4432-4436 - Jinjian Wu, Chuanwei Ma, Xiaojie Yu, Guangming Shi:
Denoising of Event-Based Sensors with Spatial-Temporal Correlation. 4437-4441 - Yun Li, Zhang Liu, Yueyue Na, Ziteng Wang, Biao Tian, Qiang Fu:
A Visual-Pilot Deep Fusion for Target Speech Separation in Multitalker Noisy Environment. 4442-4446 - Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai:
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network. 4447-4451 - Yaxian Xia, Lun Huang, Wenmin Wang, Xiao-Yong Wei, Jie Chen:
Exploring Entity-Level Spatial Relationships for Image-Text Matching. 4452-4456 - Tomoya Sawada, Marie Katsurai:
A Deep Multimodal Approach for Map Image Classification. 4457-4461 - Hefei Ling, Yangyang Qin, Li Zhang, Yuxuan Shi, Ping Li:
Selective Convolutional Network: An Efficient Object Detector with Ignoring Background. 4462-4466 - Hyomin Choi, Robert A. Cohen, Ivan V. Bajic:
Back-And-Forth Prediction for Deep Tensor Compression. 4467-4471 - Yiwu Yao, Zheng Fang, Bin Dong, Sen Zhou:
Effective Pipeline for Compressing Deep Object Detectors. 4472-4476 - Ayush Kumar, Jithendra Vepa:
Gated Mechanism for Attention Based Multi Modal Sentiment Analysis. 4477-4481 - Bagus Tris Atmaja, Masato Akagi:
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition. 4482-4486 - Guoqiang Zhang, Haopeng Li, Fabian Wenger:
Object Detection and 3d Estimation Via an FMCW Radar Using a Fully Convolutional Network. 4487-4491 - Joseph Roth, Sourish Chaudhuri, Ondrej Klejch, Radhika Marvin, Andrew C. Gallagher, Liat Kaver, Sharadh Ramaswamy, Arkadiusz Stopczynski, Cordelia Schmid, Zhonghua Xi, Caroline Pantofaru:
Ava Active Speaker: An Audio-Visual Dataset for Active Speaker Detection. 4492-4496 - Arindam Jati, Dimitra Emmanouilidou:
Supervised Deep Hashing for Efficient Audio Event Retrieval. 4497-4501 - Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
An LSTM-Based Dynamic Chord Progression Generation System for Interactive Music Performance. 4502-4506 - Sachin Singh, Victor Sanchez, Tanaya Guha:
Ensemble Network For Ranking Images Based On Visual Appeal. 4507-4511 - Brandon M. Booth, Shrikanth S. Narayanan:
Trapezoidal Segment Sequencing: A Novel Approach for Fusion of Human-Produced Continuous Annotations. 4512-4516 - Min Li, Zhenjiang Miao, Cong Ma:
Sequence-to-Sequence Labanotation Generation Based on Motion Capture Data. 4517-4521 - Lanqing Zhang, Ge Li, Thomas H. Li:
Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. 4522-4526 - Ross Cutler, Ramin Mehran, Sam Johnson, Cha Zhang, Adam Kirk, Oliver Whyte, Adarsh Kowdle:
Multimodal Active Speaker Detection and Virtual Cinematography for Video Conferencing. 4527-4531 - Furen Zhuang, Pierre Moulin:
A New Variational Method for Deep Supervised Semantic Image Hashing. 4532-4536 - Aditya Sant, Bhaskar D. Rao:
DOA Estimation in Systems with Nonlinearities for MMWAVE Communications. 4537-4541 - Feiyu Wang, Zhi Tian, Jun Fang, Geert Leus:
Wideband Direction of Arrival Estimation with Sparse Linear Arrays. 4542-4546 - Zhe Fu, Pascal Chargé, Yide Wang:
Fourth Order Cumulant Based Active Direction of Arrival Estimation Using Coprime Arrays. 4547-4551 - Alice Delmer, Anne Ferréol, Pascal Larzabal:
On Regularization Parameter for L0-Sparse Covariance Fitting Based DOA Estimation. 4552-4556 - Tom Tirer, Oded Bialer:
Effective Approximate Maximum Likelihood Estimation of Angles of Arrival for Non-Coherent Sub-Arrays. 4557-4561 - Hang Zheng, Chengwei Zhou, Yujie Gu, Zhiguo Shi:
Two-dimensional DOA Estimation for Coprime Planar Array: A Coarray Tensor-based Solution. 4562-4566 - Sayed Hossein Dokhanchi, M. R. Bhavani Shankar, Kumar Vijay Mishra, Björn E. Ottersten:
Multi-constraint Spectral Co-design for Colocated MIMO Radar and MIMO Communications. 4567-4571 - Fuxi Wen, Hing Cheung So, Henk Wymeersch:
Tensor Decomposition-based Beamspace Esprit Algorithm for Multidimensional Harmonic Retrieval. 4572-4576 - Ehsan Raei, Mohammad Alaee-Kerahroodi, Bhavani Shankar Mysore Rama Rao, Björn E. Ottersten:
Transmit Beampattern Shaping via Waveform Design in Cognitive Mimo Radar. 4582-4586 - Liana Khamidullina, André L. F. de Almeida, Martin Haardt:
Multilinear Generalized Singular Value Decomposition (Ml-gsvd) with Application to Coordinated Beamforming in Multi-user Mimo Systems. 4587-4591 - Robin Rajamäki, Visa Koivunen:
Sparse Low-redundancy Linear Array with Uniform Sum Co-array. 4592-4596 - Khaled Ardah, Bruno Sokal, André L. F. de Almeida, Martin Haardt:
Compressed Sensing Based Channel Estimation and Open-loop Training Design for Hybrid Analog-digital Massive MIMO Systems. 4597-4601 - Thomas Paviet-Salomon, Clément Dorffer, Julien Bonnel, Barbara Nicolas, Thierry Chonavel, Angélique Drémeau:
Dispersive Grid-free Orthogonal Matching Pursuit for Modal Estimation in Ocean Acoustics. 4602-4606 - Yotam Gershon, Yaakov Buchris, Israel Cohen:
Greedy Sparse Array Design for Optimal Localization under Spatially Prioritized Source Distribution. 4607-4611 - Yongsung Park, Peter Gerstoft:
Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization. 4612-4616 - Yan Zhou, Yanyan Li, Lin Wang, Cai Wen, Weike Nie:
The Compressed Nested Array for Underdetermined DOA Estimation by Fourth-order Difference Coarrays. 4617-4621 - Andreas Barthelme, Reinhard Wiesmayr, Wolfgang Utschick:
Model Order Selection in DoA Scenarios via Cross-entropy Based Machine Learning Techniques. 4622-4626 - Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. 4627-4631 - Georgios K. Papageorgiou, Mathini Sellathurai:
Fast Direction-of-arrival Estimation of Multiple Targets Using Deep Learning and Sparse Arrays. 4632-4636 - Himani Joshi, Mohammad Alaee-Kerahroodi, Achanna Anil Kumar, R. Bhavani Shankar Mysore, Sumit Jagdish Darak:
Learning Based Reconfigurable Sub-nyquist Sampling Framework for Ultra-wideband Angular Sensing. 4637-4641 - Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang:
Raw Waveform Based End-to-end Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources. 4642-4646 - Chengyun Deng, Hui Song, Yi Zhang, Yongtao Sha, Xiangang Li:
DNN-based Mask Estimation Integrating Spectral and Spatial Features for Robust Beamforming. 4647-4651 - Runyu Wei, Xiaochuan Ma, Xuan Li:
Ray Separation and Source Depth Estimation Based on Sound Pressure Field Transformation. 4652-4656 - Lei Wang, Jie Zhu:
Regularized Beamformer for the Spherical Microphone Array to Cope with the White Noise Amplification. 4657-4661 - Jens Ahrens, Stefan Bilbao:
Interpolation and Range Extrapolation of Sound Source Directivity Based on a Spherical Wave Propagation Model. 4662-4666 - Minghui Dai, Xiaofeng Ma, Wei Liu, Weixing Sheng:
Polarization Parameters Estimation with Scalar Sensor Arrays. 4667-4671 - Nicolas Furnon, Romain Serizel, Irina Illina, Slim Essid:
DNN-based Distributed Multichannel Mask Estimation for Speech Enhancement in Microphone Arrays. 4672-4676 - Amir Weiss, Boaz Nadler, Arie Yeredor:
Asymptotically Optimal Blind Calibration of Acoustic Vector Sensor Uniform Linear Arrays. 4677-4681 - Ammar Ahmed, Shuimei Zhang, Yimin D. Zhang:
Optimized Sensor Selection for Joint Radar-communication Systems. 4682-4686 - Muhammad Zubair, Sajid Ahmed, Mohamed-Slim Alouini:
Frequency Diverse Array Radar: A Closed-Form Solution to Design Weights for Desired Beampattern. 4687-4691 - Angelo Coluccia, Alessio Fascista, Giuseppe Ricci:
Robust CFAR Radar Detection Using a K-nearest Neighbors Rule. 4692-4696 - Aakash Arora, R. Bhavani Shankar Mysore, Björn E. Ottersten:
Cramer-Rao Bound on DOA Estimation of Finite Bandwidth Signals Using a Moving Sensor. 4697-4701 - Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar:
Theoretical Analysis of Multi-Carrier Agile Phased Array Radar. 4702-4706 - P. P. Vaidyanathan, Po-Chih Chen:
Convolutional Beamspace for Array Signal Processing. 4707-4711 - Qinmengying Yan, Siyu Sun, Haijian Zhang, Guang Hua:
Efficient Estimation of Mixing Matrix Using a Two-sensor Array. 4712-4716 - Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac:
Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. 4717-4721 - Hao Li, Xueliang Zhang, Guanglai Gao:
Beamformed Feature for Learning-based Dual-channel Speech Separation. 4722-4726 - Eva Lagunas, Ana I. Pérez-Neira, Miguel Angel Lagunas, Miguel Ángel Vázquez:
Transmit Beamforming Design with Received-Interference Power Constraints: The Zero-Forcing Relaxation. 4727-4731 - Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler:
Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification. 4732-4736 - Fei Zhu, Paul Honeine, Jie Chen:
Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data. 4737-4741 - Mostafa Khalili Marandi, Wolfgang Rave, Gerhard P. Fettweis:
Beam Elimination Based on Sequentially Estimated a Posteriori Probabilities of Winning. 4742-4746 - Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler:
Two-Element Biomimetic Antenna Array Design and Performance. 4747-4751 - Sharareh KianiHarchehgani, Shahram ShahbazPanahi, Min Dong, Gary Boudreau:
Distributed Equalization and Power Allocation For Multi-Carrier Bidirectional Filter-and-Forward Relay Networks. 4752-4756 - Nikolajs Skuratovs, Michael Davies:
Upscaling Vector Approximate Message Passing. 4757-4761 - Xiaohuan Wu, Wei-Ping Zhu, Jun Yan:
Atomic Norm Based Localization of Far-Field and Near-Field Signals with Generalized Symmetric Arrays. 4762-4766 - Shuang Li, Xiao-Ping Zhang:
A Novel Moving Sparse Array Geometry with Increased Degrees of Freedom. 4767-4771 - Yuansheng Zhu, Yijian Xiang, Satyabrata Sen, Elise Dagois, Arye Nehorai, Murat Akçakaya:
Clutter Identification Based on Sparse Recovery and L1-Type Probabilistic Distance Measures. 4772-4776 - Jonathan Bosse, Olivier Rabaste, Jean Philippe Ovarlez:
Adaptive Subspace Detectors for off-grid Mismatched Targets. 4777-4780 - Weiwei Wang, Kehu Yang:
A Method for Millimeter-Wave Imaging of Concealed Objects Via De-Aliasing. 4781-4785 - Chundi Zheng, Huihui Chen, Aiguo Wang:
A Fast Sparse Covariance-Based Fitting Method for DOA Estimation via Non-Negative Least Squares. 4786-4790 - Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir:
Extended Cyclic Coordinate Descent for Robust Row-Sparse Signal Reconstruction in the Presence of Outliers. 4791-4795 - Hannah Lawrence, Jerry Li, Cameron Musco, Christopher Musco:
Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers. 4796-4800 - Thomas Verellen, Robin Kerstens, Dennis Laurijssen, Jan Steckel:
Urtis: a Small 3d Imaging Sonar Sensor for Robotic Applications. 4801-4805 - Minh Trinh-Hoang, Wing-Kin Ma, Marius Pesavento:
A Partial Relaxation DOA Estimator Based on Orthogonal Matching Pursuit. 4806-4810 - Yuneisy E. Garcia Guzman, Péter Kovács, Mario Huemer:
Variable Projection for Multiple Frequency Estimation. 4811-4815 - Mengliang Zhang, Ziping Zhao, Yuerong Chen, Zhongyuan Wang, Xin Tian:
Fusionndvi: A Novel Fusion Method for NDVI in Remote Sensing. 4816-4820 - Ahmad Bazzi:
Robust Music Estimation Under Array Response Uncertainty. 4821-4825 - Dimitris G. Chachlakis, Ashley Prater-Bennette, Panos P. Markopoulos:
L1-Norm Higher-Order Orthogonal Iterations for Robust Tensor Analysis. 4826-4830 - Ehsan Tohidi, Junting Chen, David Gesbert:
Sensor Selection for Model-Free Source Localization: where Less is More. 4831-4835 - Jun Liu, Yutong Feng, Weijian Liu, Danilo Orlando, Hongbin Li:
Anomaly Detection with Training Data in Hyperspectral Imagery. 4836-4840 - Alexander Bohlender, Ann Spriet, Wouter Tirry, Nilesh Madhu:
Least-Squares DOA Estimation with an Informed Phase Unwrapping and Full Bandwidth Robustness. 4841-4845 - Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Alle-Jan van der Veen:
Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging. 4846-4850 - Martin Larsson, Gabrielle Flood, Magnus Oskarsson, Kalle Åström:
Upgrade Methods for Stratified Sensor Network Self-Calibration. 4851-4855 - François Grondin, Hao Tang, James R. Glass:
Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT. 4856-4860 - Kaihui Liu, Lingling Li, Liangtian Wan:
Weighted Null Vector Initialization and its Application to Phase Retrieval. 4861-4865 - Alessio Fascista, Angelo Coluccia, Henk Wymeersch, Gonzalo Seco-Granados:
Low-Complexity Accurate Mmwave Positioning for Single-Antenna Users Based on Angle-of-Departure and Adaptive Beamforming. 4866-4870 - Tianyi Jia, K. C. Ho, Haiyan Wang, Xiaohong Shen:
Accurate Localization of AUV in Motion by Explicit Solution Using Time Delays. 4871-4875 - Jun Li, Kutluyil Dogançay, Ngoc Hung Nguyen, Yee Wei Law:
Drss-Based Localisation Using Weighted Instrumental Variables and Selective Power Measurement. 4876-4880 - Yanbin Zou, Huaping Liu:
A Simple and Efficient Iterative Method for Toa Localization. 4881-4884 - Anjaly Parayil, Jemin George:
Distributed Tracking and Circumnavigation Using Bearing Measurements. 4885-4889 - Rico Mendrzik, Mattia Brambilla, Clemens Allmann, Monica Nicoli, Wolfgang Koch, Gerhard Bauch, Kevin D. LePage, Paolo Braca:
Joint Multitarget Tracking and Dynamic Network Localization in the Underwater Domain. 4890-4894 - Rui Huang, Jun Tao, Le Yang, Yanbo Xue, Qisong Wu:
Robust Tdoa Indoor Tracking Using Constrained Measurement Filtering and Grid-Based Filtering. 4895-4899 - Yuxuan Xia, Pu Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip V. Orlik:
Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar. 4900-4904 - Jie Zhuang, Tianhan Tan, Daolin Chen, Jiancheng Kang:
DOA Tracking Via Signal-Subspace Projector Update. 4905-4909 - Mor Hadar, Jonatan Ostrometzky, Hagit Messer:
Parameter Estimation of In-City Frontal Rainfall Propagation. 4910-4914 - Ryouichi Nishimura, Yôiti Suzuki:
ML and EM Estimation of Sampling Intervals of Sensor Devices. 4915-4919 - David Schenck, Hoang Xavier Mestre, Marius Pesavento:
Asymptotic Stochastic Analysis of Partially Relaxed DML. 4920-4924 - Alexander Osinsky, Andrey Ivanov, Dmitry Yarotsky:
Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. 4925-4929 - Wolfgang Mack, Ullas Bharadwaj, Soumitro Chakrabarty, Emanuël Anco Peter Habets:
Signal-Aware Broadband DOA Estimation Using Attention Mechanisms. 4930-4934 - Pawel Swietojanski, Ondrej Miksik:
Static Visual Spatial Priors for DoA Estimation. 4935-4939 - Dong Zhu, Gang Li, Xiao-Ping (Steven) Zhang:
Mirrored Arrays for Direction-of-Arrival Estimation. 4940-4944 - Luca Comanducci, Maximo Cobos, Fabio Antonacci, Augusto Sarti:
Time Difference of Arrival Estimation from Frequency-Sliding Generalized Cross-Correlations Using Convolutional Neural Networks. 4945-4949 - Abhijith Mundanad Narayanan, Alexander Bertrand:
Group-Utility Metric for Efficient Sensor Selection and Removal in LCMV Beamformers. 4950-4954 - Gang Wang, K. C. Ho:
Accurate Semidefinite Relaxation Method for 3-D Rigid Body Localization Using AOA. 4955-4959 - Eduardo Pérez, Jan Kirchhof, Sebastian Semper, Fabian Krieg, Florian Römer:
Cramér-Rao Bounds for Flaw Localization in Subsampled Multistatic Multichannel Ultrasound Ndt Data. 4960-4964 - David Ramírez, Elza Erkip, H. Vincent Poor:
Age of Information with Finite Horizon and Partial Updates. 4965-4969 - Ezra Tampubolon, Holger Boche:
Robust Online Mirror Saddle-Point Method for Constrained Resource Allocation. 4970-4974 - Yizhen Xu, Peng Cheng, Zhuo Chen, Ming Ding, Yonghui Li, Branka Vucetic:
Real-Time Task Offloading for Large-Scale Mobile Edge Computing. 4975-4979 - Itsik Bergel, Soheil Mohajer:
Simple Caching Schemes for Non-homogeneous MISO Cache-Aided Communication via Convexity. 4980-4984 - Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. 4985-4989 - Navid Reyhanian, Hamid Farmanbar, Soheil Mohajer, Zhi-Quan Luo:
Joint Resource Allocation and Routing for Service Function Chaining with In-Subnetwork Processing. 4990-4994 - Jochen Fink, Renato L. G. Cavalcante, Slawomir Stanczak:
Online Channel Estimation for Hybrid Beamforming Architectures. 4995-4999 - Tobias Lindstrøm Jensen, Elisabeth de Carvalho:
An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator. 5000-5004 - Nitin Jonathan Myers, Kayla N. Tran, Robert W. Heath Jr.:
Low-Rank MMWAVE MIMO Channel Estimation in One-Bit Receivers. 5005-5009 - Patrick Agostini, Zoran Utkovski, Slawomir Stanczak:
Channel Charting: an Euclidean Distance Matrix Completion Perspective. 5010-5014 - Javad Mirzaei, Foad Sohrabi, Raviraj Adve, Shahram ShahbazPanahi:
MMSE-Based Channel Estimation for Hybrid Beamforming Massive MIMO with Correlated Channels. 5015-5019 - Satoshi Takabe, Tadashi Wadayama, Yonina C. Eldar:
Complex Trainable Ista for Linear and Nonlinear Inverse Problems. 5020-5024 - Sina Molavipour, Germán Bassi, Mikael Skoglund:
Conditional Mutual Information Neural Estimator. 5025-5029 - Anastasios Dimas, Konstantinos I. Diamantaras, Athina P. Petropulu:
Q-Learning Based Predictive Relay Selection for Optimal Relay Beamforming. 5030-5034 - Miao Yang, Hongbin Zhu, Haifeng Wang, Yevgeni Koucheryavy, Konstantin E. Samouylov, Hua Qian:
Peer To Peer Offloading With Delayed Feedback: An Adversary Bandit Approach. 5035-5039 - Mark Eisen, Alejandro Ribeiro:
Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks. 5040-5044 - Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro:
A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients. 5045-5049 - Anand P. Sabulal, Srikrishna Bhashyam:
Joint Sparse Recovery Using Deep Unfolding With Application to Massive Random Access. 5050-5054 - Kun-Lin Chan, Feng-Tsun Chien:
Learning-Based Content Caching and User Clustering: A Deep Deterministic Policy Gradient Approach. 5055-5059 - Junge Zhu, Xi Huang, Ziyu Shao:
Learning-Aided Content Placement in Caching-Enabled fog Computing Systems Using Thompson Sampling. 5060-5064 - Kirty Vedula, Randy C. Paffenroth, D. Richard Brown:
Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders. 5065-5069 - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Deep Joint Source-Channel Coding for Wireless Image Retrieval. 5070-5074 - Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang:
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels. 5075-5079 - Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar:
Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems. 5080-8084 - David Gregoratti, Xavier Mestre:
Equalization of OFDM Waveforms with Insufficient Cyclic Prefix. 5085-5089 - Wallace Alves Martins, Danilo Spano, Symeon Chatzinotas, Björn E. Ottersten:
Faster-Than-Nyquist Signaling Via Spatiotemporal Symbol-Level Precoding for Multi-User MISO Redundant Transmissions. 5090-5094 - Simon Bicaïs, Jean-Baptiste Doré, Gregory Gougeon, Yoann Corre:
Optimized Single Carrier Transceiver for Future Sub-TeraHertz Applications. 5095-5099 - Rainer Strobel, Thushara Hewavithana:
Power Spectrum Optimization for Capacity of the Extended Spectrum Hybrid Fiber Coax Network. 5100-5104 - Yu Wang, Shikai Qiu, Lirui Chen, Qinglin Wang, Yang Zhang, Cang Liu, Zuocheng Xing:
A Low-Latency Successive Cancellation Hybrid Decoder for Convolutional Polar Codes. 5105-5109 - Tarak Arbi, Imen Nasr, Benoît Geller:
Near Capacity RCQD Constellations for PAPR Reduction of OFDM Systems. 5110-5114 - Stefan Weithoffer, Rami Klaimi, Charbel Abdel Nour, Norbert Wehn, Catherine Douillard:
Fully Pipelined Iteration Unrolled Decoders the Road to TB/S Turbo Decoding. 5115-5119 - Diana Marcela V. Melo, Lukas T. N. Landau, Rodrigo C. de Lamare:
Zero-Crossing Precoding with Maximum Distance to the Decision Threshold for Channels with 1-Bit Quantization and Oversampling. 5120-5124 - Alireza Morsali, Benoît Champagne:
Achieving Fully-Digital Performance by Hybrid Analog/Digital Beamforming in Wide-Band Massive-Mimo Systems. 5125-5129 - Kien-Giang Nguyen, Quang-Doanh Vu, Le-Nam Tran, Markku J. Juntti:
Energy-Efficient Bit Allocation for Resolution-Adaptive ADC in Multiuser Large-Scale MIMO Systems: Global Optimality. 5130-5134 - Majed Saad, Faouzi Bader, Ali Chamas Al Ghouwayel, Hussein Hijazi, Nizar Bouhlel, Jacques Palicot:
Generalized Spatial Modulation for Wireless Terabits Systems Under Sub-THZ Channel With RF Impairments. 5135-5139 - Jinu Jayachandran, Kamal Biswas, Saif Khan Mohammed, Erik G. Larsson:
Efficient Techniques For in-band System Information Broadcast in Multi-Cell Massive Mimo. 5140-5144 - Trinh Van Chien, Emil Björnson, Erik G. Larsson:
Optimal Design of Energy-Efficient Cell-Free Massive Mimo: Joint Power Allocation and Load Balancing. 5145-5149 - Özlem Tugfe Demir, Emil Björnson:
Large-Scale Fading Precoding for Maximizing the Product of SINRs. 5150-5154 - Qiang Li, Yatao Liu, Mingjie Shao, Wing-Kin Ma:
Proximal Distance Algorithm for Nonconvex QCQP with Beamforming Applications. 5155-5159 - Flavio L. Duarte, Rodrigo C. de Lamare:
Cloud-Driven Multi-Way Multiple-Antenna Relay Systems: Best-User-Link Selection and Joint Mmse Detection. 5160-5164 - Mohammad Neinavaie, Mostafa Derakhtian, Sergiy A. Vorobyov:
A Complexity Efficient DMT-Optimal Tree Pruning Based Sphere Decoding. 5165-5169 - Jemin George, Cemal Tugrul Yilmaz, Anjaly Parayil, Aranya Chakrabortty:
A Model-Free Approach to Distributed Transmit Beamforming. 5170-5174 - Shuhao Xia, Yuanming Shi:
Intelligent Reflecting Surface for Massive Device Connectivity: Joint Activity Detection and Channel Estimation. 5175-5179 - Renato L. G. Cavalcante, Slawomir Stanczak:
Channel Covariance Estimation in Multiuser Massive Mimo Systems with an Approach Based on Infinite Dimensional Hilbert Spaces. 5180-5184 - Uri Erez, Amir Leshem:
Eliminating Out-Of-Cell Interference in Cellular Massive Mimo with a Single Additional Transceiver. 5185-5189 - Roya Gholami, Laura Cottatellucci, Dirk T. M. Slock:
Favorable Propagation and Linear Multiuser Detection for Distributed Antenna Systems. 5190-5194 - Yue Wu, Shaodan Med, Yuantao Gu:
Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems. 5195-5199 - Chengxi Li, Gang Li, Pramod K. Varshney:
Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks. 5200-5204 - Mohannad H. Al-Ali, K. C. Ho:
Objective Bayesian Detection Under Spatially Correlated Gaussian Observations for Multi-Antenna Cognitive Radio Network. 5205-5209 - Eliya Nachmani, Lior Wolf:
A Gated Hypernet Decoder for Polar Codes. 5210-5214 - Neophytos Charalambides, Mert Pilanci, Alfred O. Hero III:
Weighted Gradient Coding with Leverage Score Sampling. 5215-5219 - Hyowon Kim, Karl Granström, Sunwoo Kim, Henk Wymeersch:
Low-Complexity 5g Slam with CKF-PHD Filter. 5220-5224 - Alexis Alfredo Dowhuszko, Mehmet Cagri Ilter, Paulo Pinho, Jyri Hämäläinen:
The Effect of Power Allocation on Visible Light Communication Using Commercial Phosphor-Converted Led Lamp for Indirect Illumination. 5225-5229 - Holger Boche, Rafael F. Schaefer, H. Vincent Poor:
Robust Transmission Over Channels with Channel Uncertainty: an Algorithmic Perspective. 5230-5234 - David Burth Kurka, Deniz Gündüz:
Deep Joint Source-Channel Coding of Images with Feedback. 5235-5239 - Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li:
A Learning Approach to Cooperative Communication System Design. 5240-5244 - Ankit Gupta, Mathini Sellathurai:
A Stacked-Autoencoder Based End-to-End Learning Framework for Decode-and-Forward Relay Networks. 5245-5249 - Tsang-Yi Wang, Feng-Tsun Chien, Chi-Kai Hsieh:
A New Sampling Scheme for Distributed Blind Spectrum Sensing Using Energy Detectors. 5250-5254 - Abbas Khalili, Shahram Shahsavari, Farhad Shirani, Elza Erkip, Yonina C. Eldar:
On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs. 5255-5259 - Yingbo Hua:
Reliable and Secure Transmission for Future Networks. 5260-5264 - Henri Hentilä, Yanina Y. Shkel, Visa Koivunen, H. Vincent Poor:
On Polar Coding For Finite Blocklength Secret Key Generation Over Wireless Channels. 5265-5269 - Vamsi K. Amalladinne, Jean-François Chamberland, Krishna R. Narayanan:
An Enhanced Decoding Algorithm for Coded Compressed Sensing. 5270-5274 - Khawar Hussain, Roberto López-Valcarce:
Optimal Window Design for W-OFDM. 5275-5289 - Holger Boche, Ullrich J. Mönich:
Computability of the Peak Value of Bandlimited Signals. 5280-5284 - Ido Hadar, Amir Leshem:
Joint Scheduling and Beamforming for Delay Sensitive Traffic with Priorities and Deadlines. 5285-5289 - Ganapati Hegde, Christos Masouros, Marius Pesavento:
Robust Hybrid Precoding For Interference Exploitation in Massive Mimo Systems. 5290-5294 - Zheng Zhao, Filip Tronarp, Roland Hostettler, Simo Särkkä:
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. 5295-5299 - Holger Boche, Volker Pohl:
Computing Hilbert Transform and Spectral Factorization for Signal Spaces of Smooth Functions. 5300-5304 - Esa Ollila, Daniel P. Palomar, Frédéric Pascal:
M-Estimators of Scatter with Eigenvalue Shrinkage. 5305-5309 - Maria Sandsten, Isabella Reinhold, Rachele Anderson:
A Multitaper Reassigned Spectrogram for Increased Time-Frequency Localization Precision. 5310-5314 - Yuening Li, Ruiyuan Wu, Wing-Kin Ma:
Stochastic Ml Estimation for Hyperspectral Unmixing Under Endmember Variability and Nonlinear Models. 5315-5319 - Xue Jiang, Hing Cheung So, Xingzhao Liu:
Robust Phase Retrieval with Outliers. 5320-5324 - Oguzhan Teke, P. P. Vaidyanathan:
Node-Asynchronous Spectral Clustering On Directed Graphs. 5325-5329 - Yiran He, Hoi-To Wai:
Estimating Centrality Blindly From Low-Pass Filtered Graph Signals. 5330-5334 - T. Mitchell Roddenberry, Santiago Segarra:
Blind Inference of Centrality Rankings from Graph Signals. 5335-5339 - Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic, Milos Brajovic, Bruno Scalzo Dees, Anthony G. Constantinides:
A Low-Dimensionality Method for Data-Driven Graph Learning. 5340-5344 - Santiago Segarra, T. Mitchell Roddenberry, Facundo Mémoli, Alejandro Ribeiro:
Metric Representations of Networks: A Uniqueness Result. 5345-5349 - Henry Kenlay, Dorina Thanou, Xiaowen Dong:
On The Stability of Polynomial Spectral Graph Filters. 5350-5354 - Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon:
On Cramér-Rao Lower Bounds with Random Equality Constraints. 5355-5359 - Filip Elvander, Jie Ding, Andreas Jakobsson:
On Harmonic Approximations of Inharmonic Signals. 5360-5364 - Yu-Hang Xiao, David Ramírez, Peter J. Schreier:
A General Test for the Linear Structure of Covariance Matrices of Gaussian Populations. 5365-5369 - Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir:
Sequential Joint Detection and Estimation with an Application to Joint Symbol Decoding and Noise Power Estimation. 5370-5374 - Thuan Nguyen, Thinh Nguyen:
A Linear Time Partitioning Algorithm for Frequency Weighted Impurity Functions. 5375-5379 - Rodrigo A. González, Cristian R. Rojas:
Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes. 5380-5384 - Zhan Gao, Alec Koppel, Alejandro Ribeiro:
Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization. 5385-5389 - Ramzi Ben Mhenni, Sébastien Bourguignon, Jérôme Idier:
A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection Rules. 5390-5394 - Nicolas Nadisic, Arnaud Vandaele, Nicolas Gillis, Jeremy E. Cohen:
Exact Sparse Nonnegative Least Squares. 5395-5399 - Seisuke Kyochi, Shunsuke Ono, Ivan W. Selesnick:
Epigraphical Reformulation for Non-Proximable Mixed Norms. 5400-5404 - Guillermo Ortiz-Jiménez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic, Pascal Frossard:
Forward-Backward Splitting for Optimal Transport Based Problems. 5405-5409 - Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri:
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning. 5410-5414 - M. Salman Asif, Ashley Prater-Bennette:
Low-Rank Tensor Ring Model for Completing Missing Visual Data. 5415-5419 - Riku Hashimoto, Hiroyuki Kasai:
Sequential Semi-Orthogonal Multi-Level NMF with Negative Residual Reduction for Network Embedding. 5420-5424 - Zengde Deng, Anthony Man-Cho So:
A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. 5425-5429 - Vincent C. H. Leung, Jun-Jie Huang, Pier Luigi Dragotti:
Reconstruction of Fri Signals Using Deep Neural Network Approaches. 5430-5434 - Betania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João M. T. Romano:
Adaptive Prediction of Financial Time-Series for Decision-Making Using A Tensorial Aggregation Approach. 5435-5439 - Paulo S. R. Diniz, Jonathas O. Ferreira, Marcele O. K. Mendonça, Tadeu N. Ferreira:
Data Selection Kernel Conjugate Gradient Algorithm. 5440-5444 - Hiroyuki Kaneko, Masahiro Yukawa:
Normalized Least-Mean-Square Algorithms with Minimax Concave Penalty. 5445-5449 - Masa-aki Takizawa, Masahiro Yukawa:
Steepening Squared Error Function Facilitates Online Adaptation of Gaussian Scales. 5450-5454 - Liu Yang, Hechuan Wang, Yousef El-Laham, José Ignacio Lamas Fonte, David Trillo Pérez, Mónica F. Bugallo:
Indoor Altitude Estimation of Unmanned Aerial Vehicles Using a Bank of Kalman Filters. 5455-5459 - Giovanni Soldi, Domenico Gaglione, Giovanni De Magistris, Paolo Braca, Pietro Stinco, Gabriele Ferri, Alessandra Tesei, Kevin Le Page:
Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier. 5460-5464 - Hamed Yazdanpanah:
Feature Affine Projection Algorithms. 5465-5469 - Kimia Nadjahi, Valentin De Bortoli, Alain Durmus, Roland Badeau, Umut Simsekli:
Approximate Bayesian Computation with the Sliced-Wasserstein Distance. 5470-5474 - Yousef El-Laham, Petar M. Djuric, Mónica F. Bugallo:
Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling. 5475-5479 - Dionysios S. Kalogerias, Luiz F. O. Chamon, George J. Pappas, Alejandro Ribeiro:
Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation. 5480-5484 - Claudio J. Bordin Jr., Marcelo G. S. Bruno:
Particle Filtering on the Complex Stiefel Manifold with Application to Subspace Tracking. 5485-5489 - Topi Halme, Eyal Nitzan, H. Vincent Poor, Visa Koivunen:
Bayesian Multiple Change-Point Detection with Limited Communication. 5490-5494 - Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. 5495-5499 - Youye Xie, Dehong Liu, Hassan Mansour, Petros T. Boufounos:
Robust Parameter Estimation of Contaminated Damped Exponentials. 5500-5504 - Pakshal Bohra, Michael Unser:
Computation of "Best" Interpolants in the Lp Sense. 5505-5509 - Zuogong Yue, Padmavathi Sundaram, Victor Solo:
Fast Block-Sparse Estimation for Vector Networks. 5510-5514 - Prakash B. Gohain, Magnus Jansson:
Relative Cost Based Model Selection for Sparse High-Dimensional Linear Regression Models. 5515-5519 - Yanbo Wang, Zhi Tian:
Cumulant Slice Reconstruction from Compressive Measurements and Its Application to Line Spectrum Estimation. 5520-5524 - Stefano Maranò, Ali H. Sayed:
Adaptation and Learning in Multi-Task Decision Systems. 5525-5529 - Cheng Yang, Gene Cheung, Wei Hu:
Graph Metric Learning via Gershgorin Disc Alignment. 5530-5534 - Vincenzo Matta, Virginia Bordignon, Augusto Santos, Ali H. Sayed:
Learning Graph Influence from Social Interactions. 5535-5539 - Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Social Learning with Partial Information Sharing. 5540-5544 - André Ferrari, Cédric Richard:
Non-parametric Community Change-points Detection in Streaming Graph Signals. 5545-5549 - Luana Ruiz, Fernando Gama, Alejandro Ribeiro:
Spatial Gating Strategies for Graph Recurrent Neural Networks. 5550-5554 - Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis, Geert Leus:
Learning connectivity and higher-order interactions in radial distribution grids. 5555-5559 - Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis:
Semi-Supervised Learning of Processes Over Multi-Relational Graphs. 5560-5564 - Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg:
Recursive Prediction of Graph Signals With Incoming Nodes. 5565-5569 - Gerald Matz, Thomas Dittrich:
Learning Signed Graphs from Data. 5570-5574 - Alberto Natali, Elvin Isufi, Geert Leus:
Forecasting Multi-Dimensional Processes Over Graphs. 5575-5579 - Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard:
Distributed Quantization for Sparse Time Sequences. 5580-5584 - Sunil Rudresh, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula:
A Time-Based Sampling Framework for Finite-Rate-of-Innovation Signals. 5585-5589 - Holger Boche, Ullrich J. Mönich:
Effective Approximation of Bandlimited Signals and Their Samples. 5590-5594 - Chandan Kumar Sheemar, Dirk T. M. Slock:
Receiver Design and AGC optimization with Self Interference Induced Saturation. 5595-5599 - Roxana Alexandru, Thierry Blu, Pier Luigi Dragotti:
D-SLAM: Diffusion Source Localization and Trajectory Mapping. 5600-5604 - Marek W. Rupniewski:
Triggerless Random Interleaved Sampling. 5605-5609 - Luiz C. da Silva, José R. de Oliveira-Neto, Juliano B. Lima:
The Fractional Quaternion Fourier Number Transform. 5610-5614 - Clément Elvira, Cédric Herzet:
Short and Squeezed: Accelerating the Computation of Antisparse Representations with Safe Squeezing. 5615-5619 - Chang-Jen Wang, Chao-Kai Wen, Shang-Ho Tsai, Shi Jin:
Decentralized expected consistent signal recovery for quantization Measurements. 5620-5624 - Zhichao Wang, Victor Solo:
Lie Group State Estimation via Optimal Transport. 5625-5629 - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Smoothing Graph Signals via Random Spanning Forests. 5630-5634 - Panagiotis Misiakos, Chris Wendler, Markus Püschel:
Diagonalizable Shift and Filters for Directed Graphs Based on the Jordan-Chevalley Decomposition. 5635-5639 - Arun Venkitaraman, Saikat Chatterjee, Peter Handel:
Gaussian Processes Over Graphs. 5640-5644 - Jari Miettinen, Sergiy A. Vorobyov, Esa Ollila:
Blind Source Separation of Graph Signals. 5645-5649 - Yuejiang Li, Yaxin Li, Hong Hu, H. Vicky Zhao, Yan Chen:
Graphical Evolutionary Game Theoretic Analysis of Super Users in Information Diffusion. 5650-5654 - Fateme Ghayem, Bertrand Rivet, Christian Jutten, Rodrigo Cabral Farias:
Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement. 5655-5659 - Luana Ruiz, Luiz F. O. Chamon, Alejandro Ribeiro:
The Graphon Fourier Transform. 5660-5664 - Sai Kiran Kadambari, Sundeep Prabhakar Chepuri:
Learning Product Graphs from Multidomain Signals. 5665-5669 - Benjamin Girault, Antonio Ortega, Shrikanth S. Narayayan:
Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces. 5670-5674 - Carlos Alejandro López, Ferran De Cabrera, Jaume Riba:
Estimation of Information in Parallel Gaussian Channels via Model Order Selection. 5675-5679 - Junya Hara, Yuichi Tanaka, Yonina C. Eldar:
Generalized Graph Spectral Sampling with Stochastic Priors. 5680-5684 - Haoyi Fan, Fengbin Zhang, Zuoyong Li:
Anomalydae: Dual Autoencoder for Anomaly Detection on Attributed Networks. 5685-5689 - Feng Xue, Thierry Blu:
On The Degrees Of Freedom in Total Variation Minimization. 5690-5694 - Mohamed A. Suliman, Wei Dai:
Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution. 5695-5699 - Goutam Yelluru Gopal, Maria A. Amer:
Dynamic Channel Pruning For Correlation Filter Based Object Tracking. 5700-5704 - Dana Lahat, Cédric Févotte:
Positive Semidefinite Matrix Factorization: A Link to Phase Retrieval And A Block Gradient Algorithm. 5705-5709 - Frederike Dümbgen, Majed El Helou, Adam Scholefield:
Realizability of Planar Point Embeddings from Angle Measurements. 5710-5714 - Ayça Özçelikkale:
Sparse Recovery with Non-Linear Fourier Features. 5715-5719 - Yue Wang, Yu Zhang, Zhi Tian, Geert Leus, Gong Zhang:
Efficient Super-Resolution Two-Dimensional Harmonic Retrieval Via Enhanced Low-Rank Structured Covariance Reconstruction. 5720-5724 - Pulak Sarangi, Mehmet Can Hücümenoglu, Piya Pal:
Effect of Undersampling on Non-Negative Blind Deconvolution with Autoregressive Filters. 5725-5729 - Laixi Shi, Yuejie Chi:
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. 5730-5734 - Ramzi Ben Mhenni, Sébastien Bourguignon, Marcel Mongeau, Jordan Ninin, Hervé Carfantan:
Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least Squares. 5735-5739 - Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo:
A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. 5740-5744 - Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling:
A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. 5745-5749 - Vinith Kishore, Chandra Sekhar Seelamantula:
Wirtinger Flow Algorithms for Phase Retrieval from Binary Measurements. 5750-5754 - Ioannis C. Tsaknakis, Mingyi Hong, Sijia Liu:
Decentralized Min-Max Optimization: Formulations, Algorithms and Applications in Network Poisoning Attack. 5755-5759 - Zengde Deng, Man-Chung Yue, Anthony Man-Cho So:
An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. 5760-5764 - Chandrasekhar Sriram, Geethu Joseph, Chandra R. Murthy:
Control of Linear Dynamical Systems Using Sparse Inputs. 5765-5769 - Songtao Lu, Chai Wah Wu:
Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs. 5770-5774 - Ignacio Ramírez Paulino, Ignacio Hounie:
Paco and Paco-Dct: Patch Consensus and Its Application To Inpainting. 5775-5779 - Nicholas F. Marshall, Ti-Yen Lan, Tamir Bendory, Amit Singer:
Image Recovery from Rotational And Translational Invariants. 5780-5784 - Adeem Aslam, Zubair Khalid:
Optimal Window Design for Joint Spatial-Spectral Domain Filtering of Signals on the Sphere. 5785-5789 - A. Marina Krémé, Valentin Emiya, Caroline Chaux, Bruno Torrésani:
Filtering Out Time-Frequency Areas Using Gabor Multipliers. 5790-5794 - Afef Cherni, Sandrine Anthoine, Caroline Chaux:
β-NMF and Sparsity Promoting Regularizations for Complex Mixture Unmixing. Application to 2D HSQC NMR. 5795-5799 - Hikmat Y. Darawsheh, Andrzej Tarczynski:
FIR Filtering of Discontinuous Signals: A Random-Stratified Sampling Approach. 5800-5804 - Alihan Kaplan, Dae Gwan Lee, Volker Pohl:
Message Transmission ThroughUnderspread Time-Varying Linear Channels. 5805-5809 - Yusong Yan, Hongmei Zhu:
The Discrete Stockwell Transforms for Infinite-Length Signals and Their Real-Time Implementations. 5810-5814 - Maboud Farzaneh Kaloorazi, Jie Chen:
Low-Rank Approximation of Matrices Via A Rank-Revealing Factorization with Randomization. 5815-5819 - Adrien Meynard, Bruno Torrésani:
Time-Scale Synthesis for Locally Stationary Signals. 5820-5824 - Tsubasa Kusano, Kohei Yatabe, Yasuhiro Oikawa:
Maximally Energy-Concentrated Differential Window for Phase-Aware Signal Processing Using Instantaneous Frequency. 5825-5829 - Sylvain Meignen, Marcelo Alejandro Colominas, Duong-Hung Pham:
On the Use of Rényi Entropy for Optimal Window Size Computation in the Short-Time Fourier Transform. 5830-5834 - Bin Liu:
Data-Driven Model Set Design for Model Averaged Particle Filter. 5835-5839 - Emilie Chouzenoux, Víctor Elvira:
Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. 5840-5844 - Ramana R. Avula, Tobias J. Oechtering:
On Design of Optimal Smart Meter Privacy Control Strategy Against Adversarial Map Detection. 5845-5849 - Patrick W. A. Wijnings, Sander Stuijk, Bert de Vries, Henk Corporaal:
Approximate Inference by Kullback-Leibler Tensor Belief Propagation. 5850-5854 - Marija Iloska, Yousef El-Laham, Mónica F. Bugallo:
A Particle Gibbs Sampling Approach to Topology Inference in Gene Regulatory Networks. 5855-5859 - Jan Kudlicka, Lawrence M. Murray, Thomas B. Schön, Fredrik Lindsten:
Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. 5860-5864 - Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Particle Group Metropolis Methods for Tracking the Leaf Area Index. 5865-5869 - Boujemaa Ait-El-Fquih, Thomas Rodet, Ibrahim Hoteit:
Unsupervised Variational Bayesian Kalman Filtering For Large-Dimensional Gaussian Systems. 5870-5874 - Simo Särkkä, Lennart Svensson:
Levenberg-Marquardt and Line-Search Extended Kalman Smoothers. 5875-5879 - Julian Neri, Philippe Depalle, Roland Badeau:
Laplace State Space Filter with Exact Inference and Moment Matching. 5880-5884 - Julian Neri, Roland Badeau, Philippe Depalle:
Probabilistic Filter and Smoother for Variational Inference of Bayesian Linear Dynamical Systems. 5885-5889 - Ulrika Andersson, Simon J. Godsill:
Optimum Kernel Particle Filter for Asymmetric Laplace Noise. 5890-5894 - Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks. 5895-5899 - Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. 5900-5904 - Holger Boche, Ullrich J. Mönich:
Optimal Sampling Rate and Bandwidth of Bandlimited Signals - an Algorithmic Perspective. 5905-5909 - Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. 5910-5914 - Di Jin, Feng Yin, Michael Fauß, Michael Muma, Abdelhak M. Zoubir:
Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments. 5915 - Allan E. Feitosa, Vítor H. Nascimento, Cássio Guimarães Lopes:
A Low-Complexity Map Detector for Distributed Networks. 5920-5924 - Zhongchang Sun, Shaofeng Zou, Qunwei Li:
Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. 5925-5929 - Damian Owerko, Fernando Gama, Alejandro Ribeiro:
Optimal Power Flow Using Graph Neural Networks. 5930-5934 - Jie Peng, Qing Ling:
Byzantine-Robust Decentralized Stochastic Optimization. 5935-5939 - Ming-Hsun Yang, Gin-Hao Liu, Y.-W. Peter Hong:
Federated Truth Inference over Distributed Crowdsourcing Platforms. 5940-5944 - Pol del Aguila Pla, Lissy Pellaco, Satyam Dwivedi, Peter Händel, Joakim Jaldén:
Clock Synchronization Over Networks Using Sawtooth Models. 5945-5949 - Takahiro Murakami, Wenwu Wang:
An Analytical Solution to Jacobsen Estimator for Windowed Signals. 5950-5954 - Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves:
Regularized Partial Phase Synchrony Index Applied to Dynamical Functional Connectivity Estimation. 5955-5959 - Maria Sandsten, Rachele Anderson, Isabella Reinhold, Johan Brynolfsson:
The Matched Reassigned Cross-Spectrogram for Phase Estimation. 5960-5964 - Dieter Verbeke, Ivan Markovsky:
Line Spectral Estimation with Palindromic Kernels. 5965-5968 - Yining Feng, Ivan W. Selesnick:
Latent Fused Lasso. 5969-5973 - Yulu Wang, Kailun Wu, Changshui Zhang:
Adversarial Attacks on Deep Unfolded Networks for Sparse Coding. 5974-5978 - Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal:
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. 5979-5983 - Xue Jiang, Abdelhak M. Zoubir, Xingzhao Liu:
Robust Matrix Completion via ℓP-Greedy Pursuits. 5984-5988 - Dana Weitzner, Raja Giryes:
Separable Optimization for Joint Blind Deconvolution and Demixing. 5989-5993 - Florian Roemer:
Misspecified Cramer-Rao Bound For Delay Estimation with a Mismatched Waveform: A Case Study. 5994-5998 - Tze Siong Lau, Wee Peng Tay:
Privacy-Aware Quickest Change Detection. 5999-6003 - Vaibhav Garg, Pere Giménez-Febrer, Alba Pagès-Zamora, Ignacio Santamaría:
Source Enumeration via Toeplitz Matrix Completion. 6004-6008 - Taposh Banerjee, Edmond Adib, Ahmad F. Taha, Eugene John:
Sequential Methods for Detecting a Change in the Distribution of an Episodic Process. 6009-6013 - Wanxin Shi, Yang Li, Qian He:
Distribution of the Product of a Complex Gaussian Matrix and Vector and Its Sum with a Complex Gaussian Vector. 6014-6018 - Xingyu Xu, Yuchen Jiao, Yuantao Gu:
Principal Angle Detector for Subspace Signal with Structured Unknown Interference. 6019-6023 - Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao:
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder. 6024-6028 - Siqi Na, Tianyao Huang, Yimin Liu, Xiqin Wang:
Track-Before-Detect for Sub-Nyquist Radar. 6029-6033 - Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Erika Hussey, Eric L. Miller:
Optimal Transport Based Change Point Detection and Time Series Segment Clustering. 6034-6038 - Hiroyuki Kasai:
Multi-View Wasserstein Discriminant Analysis with Entropic Regularized Wasserstein Distance. 6039-6043 - Zuogong Yue, Victor Solo:
Large-Scale Time Series Clustering with k-ARs. 6044-6048 - Eduardo Martínez-Enríquez, Javier Portilla:
Deterministic Feature Decoupling by Surfing Invariance Manifolds. 6049-6053 - Yuta Kawachi, Teppei Suzuki:
Unsupervised Auto-Encoding Multiple-Object Tracker for Constraint-Consistent Combinatorial Problem. 6054-6058 - Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. 6059-6063 - Hirofumi Inaguma, Yashesh Gaur, Liang Lu, Jinyu Li, Yifan Gong:
Minimum Latency Training Strategies for Streaming Sequence-to-Sequence ASR. 6064-6068 - Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Ruoming Pang, Yanzhang He, Trevor Strohman, Yonghui Wu:
Towards Fast and Accurate Streaming End-To-End ASR. 6069-6073 - Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Streaming Automatic Speech Recognition with the Transformer Model. 6074-6078 - Linhao Dong, Bo Xu:
CIF: Continuous Integrate-And-Fire for End-To-End Speech Recognition. 6079-6083 - Haoran Miao, Gaofeng Cheng, Changfeng Gao, Pengyuan Zhang, Yonghong Yan:
Transformer-Based Online CTC/Attention End-To-End Speech Recognition Architecture. 6084-6088 - Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
Detecting Multiple Speech Disfluencies Using a Deep Residual Network with Bidirectional Long Short-Term Memory. 6089-6093 - Zhengjun Yue, Feifei Xiong, Heidi Christensen, Jon Barker:
Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. 6094-6098 - Parvaneh Janbakhshi, Ina Kodrasi, Hervé Bourlard:
Synthetic Speech References for Automatic Pathological Speech Intelligibility Assessment. 6099-6103 - Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Two-Step Acoustic Model Adaptation for Dysarthric Speech Recognition. 6104-6108 - Enno Hermann, Mathew Magimai-Doss:
Dysarthric Speech Recognition with Lattice-Free MMI. 6109-6113 - Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
Improved Speaker Independent Dysarthria Intelligibility Classification Using Deepspeech Posteriors. 6114-6118 - Yotaro Kubo, Michiel Bacchiani:
Joint Phoneme-Grapheme Model for End-To-End Speech Recognition. 6119-6123 - Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang:
Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. 6124-6128 - Anshuman Tripathi, Han Lu, Hasim Sak:
End-To-End Multi-Talker Overlapping Speech Recognition. 6129-6133 - Xuankai Chang, Wangyou Zhang, Yanmin Qian, Jonathan Le Roux, Shinji Watanabe:
End-To-End Multi-Speaker Speech Recognition With Transformer. 6134-6138 - Ehsan Variani, David Rybach, Cyril Allauzen, Michael Riley:
Hybrid Autoregressive Transducer (HAT). 6139-6143 - Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Pascale Fung:
Lightweight and Efficient End-To-End Speech Recognition Using Low-Rank Transformer. 6144-6148 - Shengzhou Gao, Wenxin Hou, Tomohiro Tanaka, Takahiro Shinozaki:
Spoken Language Acquisition Based on Reinforcement Learning and Word Unit Segmentation. 6149-6153 - Kazuki Irie, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
How Much Self-Attention Do We Need? Trading Attention for Feed-Forward Layers. 6154-6158 - Minguang Song, Yunxin Zhao, Shaojun Wang, Mei Han:
Learning Recurrent Neural Network Language Models With Context-Sensitive Label Smoothing for Automatic Speech Recognition. 6159-6163 - Alexander Hanbo Li, Abhinav Sethy:
Semi-Supervised Learning for Text Classification by Layer Partitioning. 6164-6168 - Silin Gao, Zhijian Ou, Wei Yang, Huifang Xu:
Integrating Discrete and Neural Features Via Mixed-Feature Trans-Dimensional Random Field Language Models. 6169-6173 - Sihong Liu, Songyan Liu, Weiran Xu:
Gated Attentive Convolutional Network Dialogue State Tracker. 6174-6178 - Vatsal Aggarwal, Marius Cotescu, Nishant Prateek, Jaime Lorenzo-Trueba, Roberto Barra-Chicote:
Using Vaes and Normalizing Flows for One-Shot Text-To-Speech Synthesis of Expressive Speech. 6179-6183 - Erica Cooper, Cheng-I Lai, Yusuke Yasuda, Fuming Fang, Xin Wang, Nanxin Chen, Junichi Yamagishi:
Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings. 6184-6188 - Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro:
Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens. 6189-6193 - Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby:
Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis. 6194-6198 - Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim:
Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram. 6199-6203 - Vadim Popov, Mikhail A. Kudinov, Tasnima Sadekova:
Gaussian Lpcnet for Multisample Speech Synthesis. 6204-6208 - Stefan Thaleiser, Gerald Enzner:
A Computationally Light Algorithm for Bayesian Speech Enhancement with SNR Marginalization. 6209-6213 - Ahmet Emin Bulut, Kazuhito Koishida:
Low-Latency Single Channel Speech Enhancement Using U-Net Convolutional Neural Networks. 6214-6218 - Sicheng Wang, Wei Li, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Cross-Task Transfer Learning Approach to Adapting Deep Speech Enhancement Models to Unseen Background Noise Using Paired Senone Classifiers. 6219-6223 - Khandokar Md. Nayem, Donald S. Williamson:
Monaural Speech Enhancement Using Intra-Spectral Recurrent Layers in the Magnitude and Phase Responses. 6224-6228 - Shutong Niu, Jun Du, Li Chai, Chin-Hui Lee:
A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement. 6229-6233 - Peishuo Li, Zihang Jiang, Shouyi Yin, Dandan Song, Peng Ouyang, Leibo Liu, Shaojun Wei:
PAGAN: A Phase-Adapted Generative Adversarial Networks for Speech Enhancement. 6234-6238 - Kazuki Fujii, Yuki Saito, Shinnosuke Takamichi, Yukino Baba, Hiroshi Saruwatari:
Humangan: Generative Adversarial Network With Human-Based Discriminator And Its Evaluation In Speech Perception Modeling. 6239-6243 - Jung-Yueh Tu, Yu-Fu Chien:
The Processing of Mandarin Chinese Tonal Alternations in Contexts: An Eye-Tracking Study. 6244-6248 - Neeraj Kumar Sharma, Venkat Krishnamohan, Sriram Ganapathy, Ahana Gangopadhayay, Lauren Fink:
On The Impact of Language Familiarity in Talker Change Detection. 6249-6253 - Olympia Simantiraki, Martin Cooke, Yannis Pantazis:
Effects of Spectral Tilt on Listeners' Preferences And Intelligibility. 6254-6258 - K. S. Nataraj, Prem C. Pandey, Hirak Dasgupta:
Effect of Frication Duration and Formant Transitions on the Perception of Fricatives in VCV Utterances. 6259-6263 - Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu:
Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. 6264-6268 - Yi Zhao, Xin Wang, Lauri Juvela, Junichi Yamagishi:
Transferring Neural Speech Waveform Synthesizers to Musical Instrument Sounds Generation. 6269-6273 - Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li:
Teacher-Student Training For Robust Tacotron-Based TTS. 6274-6278 - Shindong Lee, BongGu Ko, Keonnyeong Lee, In-Chul Yoo, Dongsuk Yook:
Many-To-Many Voice Conversion Using Conditional Cycle-Consistent Adversarial Networks. 6279-6283 - Kaizhi Qian, Zeyu Jin, Mark Hasegawa-Johnson, Gautham J. Mysore:
F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder. 6284-6288 - Songxiang Liu, Disong Wang, Yuewen Cao, Lifa Sun, Xixin Wu, Shiyin Kang, Zhiyong Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
End-To-End Accent Conversion Without Using Native Utterances. 6289-6293 - Adriana Fernandez-Lopez, Ali Karaali, Naomi Harte, Federico M. Sukno:
Cogans For Unsupervised Visual Speech Adaptation To New Speakers. 6294-6298 - Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Visually Guided Self Supervised Learning of Speech Representations. 6299-6303 - Tejas Srinivasan, Ramon Sanabria, Florian Metze:
Looking Enhances Listening: Recovering Missing Speech Using Images. 6304-6308 - Sandrine Tornay, Marzieh Razavi, Mathew Magimai-Doss:
Towards Multilingual Sign Language Recognition. 6309-6313 - Sanjeev Kadagathur Vadiraj, Achuth Rao M. V, Prasanta Kumar Ghosh:
Automatic Identification of Speakers From Head Gestures in a Narration. 6314-6318 - Brais Martínez, Pingchuan Ma, Stavros Petridis, Maja Pantic:
Lipreading Using Temporal Convolutional Networks. 6319-6323 - Woojay Jeon, Maxwell Jordan, Mahesh Krishnamoorthy:
On Modeling ASR Word Confidence. 6324-6328 - Alexandros Kastanos, Anton Ragni, Mark J. F. Gales:
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks. 6329-6333 - Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur:
OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR. 6334-6338 - Prashant Serai, Adam Stiff, Eric Fosler-Lussier:
End to End Speech Recognition Error Prediction with Sequence to Sequence Learning. 6339-6343 - Anirudh Mani, Shruti Palaskar, Nimshi Venkat Meripo, Sandeep Konam, Florian Metze:
ASR Error Correction and Domain Adaptation Using Machine Translation. 6344-6348 - Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür:
Joint Contextual Modeling for ASR Correction and Language Understanding. 6349-6353 - Yuzhou Liu, Masood Delfarah, DeLiang Wang:
Deep Casa for Talker-independent Monaural Speech Separation. 6354-6358 - Jens Heitkaemper, Darius Jakobeit, Christoph Böddeker, Lukas Drude, Reinhold Haeb-Umbach:
Demystifying TasNet: A Dissecting Approach. 6359-6363 - Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent:
Filterbank Design for End-to-end Speech Separation. 6364-6368 - Gene-Ping Yang, Szu-Lin Wu, Yao-Wen Mao, Hung-yi Lee, Lin-Shan Lee:
Interrupted and Cascaded Permutation Invariant Training for Speech Separation. 6369-6373 - Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu:
Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models. 6374-6378 - Hui Wang, Yan Song, Zengxi Li, Ian McLoughlin, Li-Rong Dai:
An Online Speaker-aware Speech Separation Approach Based on Time-domain Representation. 6379-6383 - Tsubasa Ochiai, Marc Delcroix, Rintaro Ikeshita, Keisuke Kinoshita, Tomohiro Nakatani, Shoko Araki:
Beam-TasNet: Time-domain Audio Separation Network Meets Frequency-domain Beamformer. 6384-6388 - Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker:
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. 6389-6393 - Yi Luo, Zhuo Chen, Nima Mesgarani, Takuya Yoshioka:
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation. 6394-6398 - Tomohiro Nakatani, Riki Takahashi, Tsubasa Ochiai, Keisuke Kinoshita, Rintaro Ikeshita, Marc Delcroix, Shoko Araki:
DNN-supported Mask-based Convolutional Beamforming for Simultaneous Denoising, Dereverberation, and Source Separation. 6399-6403 - Cong Han, Yi Luo, Nima Mesgarani:
Real-Time Binaural Speech Separation with Preserved Spatial Cues. 6404-6408 - Sunit Sivasankaran, Emmanuel Vincent, Dominique Fohr:
SLOGD: Speaker Location Guided Deflation Approach to Speech Separation. 6409-6413 - Herman Kamper, Yevgen Matusevych, Sharon Goldwater:
Multilingual Acoustic Word Embedding Models for Processing Zero-resource Languages. 6414-6418 - Andy T. Liu, Shu-Wen Yang, Po-Han Chi, Po-Chun Hsu, Hung-yi Lee:
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders. 6419-6423 - Öykü Deniz Köse, Murat Saraçlar:
Recurrent Neural Audiovisual Word Embeddings for Synchronized Speech and Real-Time Mri. 6424-6428 - Shaoshi Ling, Yuzong Liu, Julian Salazar, Katrin Kirchhoff:
Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition. 6429-6433 - Chung-Yi Li, Pei-Chieh Yuan, Hung-yi Lee:
What Does a Network Layer Hear? Analyzing Hidden Representations of End-to-End ASR Through Speech Synthesis. 6434-6438 - Jennifer Drexler, James R. Glass:
Learning a Subword Inventory Jointly with End-to-End Automatic Speech Recognition. 6439-6443 - Sung-Hyun Yoon, Ha-Jin Yu:
Multiple Points Input For Convolutional Neural Networks in Replay Attack Detection. 6444-6448 - Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien:
Information Maximized Variational Domain Adversarial Learning for Speaker Verification. 6449-6453 - Yexin Yang, Shuai Wang, Xun Gong, Yanmin Qian, Kai Yu:
Text Adaptation for Speaker Verification with Speaker-Text Factorized Embeddings. 6454-6458 - Rongjin Li, Dongpeng Chen, Weibin Zhang:
Voiceai Systems to NIST Sre19 Evaluation: Robust Speaker Recognition on Conversational Telephone Speech. 6459-6463 - Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang:
Multi-Resolution Multi-Head Attention in Deep Speaker Embedding. 6464-6468 - Danwei Cai, Weicheng Cai, Ming Li:
Within-Sample Variability-Invariant Loss for Robust Speaker Recognition Under Noisy Environments. 6469-6473 - Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh:
Speech Emotion Recognition with Dual-Sequence LSTM Architecture. 6474-6478 - Sung-Lin Yeh, Yun-Shao Lin, Chi-Chun Lee:
A Dialogical Emotion Decoder for Speech Motion Recognition in Spoken Dialog. 6479-6483 - Leonardo Pepino, Pablo Riera, Luciana Ferrer, Agustín Gravano:
Fusion Approaches for Emotion Recognition from Speech Using Acoustic and Text-Based Features. 6484-6488 - Eric Guizzo, Tillman Weyde, Jack Barnett Leveson:
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. 6489-6493 - Wenjing Han, Tao Jiang, Yan Li, Björn W. Schuller, Huabin Ruan:
Ordinal Learning for Emotion Recognition in Customer Service Calls. 6494-6498 - Yunfeng Xu, Hua Xu, Jiyun Zou:
HGFM : A Hierarchical Grained and Feature Model for Acoustic Emotion Recognition. 6499-6503 - Monisankha Pal, Manoj Kumar, Raghuveer Peri, Tae Jin Park, So Hyun Kim, Catherine Lord, Somer Bishop, Shrikanth Narayanan:
Speaker Diarization Using Latent Space Clustering in Generative Adversarial Network. 6504-6508 - Wonjune Kang, Brandon C. Roy, Wesley Chow:
Multimodal Speaker Diarization of Real-World Meetings Using D-Vectors With Spatial Features. 6509-6513 - Zili Huang, Shinji Watanabe, Yusuke Fujita, Paola García, Yiwen Shao, Daniel Povey, Sanjeev Khudanpur:
Speaker Diarization with Region Proposal Network. 6514-6518 - Mireia Díez, Lukás Burget, Federico Landini, Shuai Wang, Honza Cernocký:
Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. 6519-6523 - Nikolaos Flemotomos, Dimitrios Dimitriadis:
A Memory Augmented Architecture for Continuous Speaker Identification in Meetings. 6524-6528 - Federico Landini, Shuai Wang, Mireia Díez, Lukás Burget, Pavel Matejka, Katerina Zmolíková, Ladislav Mosner, Anna Silnova, Oldrich Plchot, Ondrej Novotný, Hossein Zeinali, Johan Rohdin:
But System for the Second Dihard Speech Diarization Challenge. 6529-6533 - Julian Fritsch, S. Pavankumar Dubagunta, Mathew Magimai-Doss:
Estimating the Degree of Sleepiness by Integrating Articulatory Feature Knowledge in Raw Waveform Based CNNS. 6534-6538 - Sandeep Nallan Chakravarthula, Md. Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian R. Baucom, Craig J. Bryan, Shrikanth Narayanan, Panayiotis G. Georgiou:
Automatic Prediction of Suicidal Risk in Military Couples Using Multimodal Interaction Cues from Couples Conversations. 6539-6543 - Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients. 6544-6548 - Zhaocheng Huang, Julien Epps, Dale Joachim:
Exploiting Vocal Tract Coordination Using Dilated CNNS For Depression Detection In Naturalistic Environments. 6549-6553 - Vikram C. Mathad, Kathy Chapman, Julie Liss, Nancy Scherer, Visar Berisha:
Deep Learning Based Prediction of Hypernasality for Clinical Applications. 6554-6558 - Krishna D. N, Amrutha D, Sai Sumith Reddy, Anudeepa Acharya, Prabhu Aashish Garapati, Triveni B. J:
Language Independent Gender Identification from Raw Waveform Using Multi-Scale Convolutional Neural Networks. 6559-6563 - Haibin Wu, Songxiang Liu, Helen Meng, Hung-yi Lee:
Defense Against Adversarial Attacks on Spoofing Countermeasures of ASV. 6564-6568 - Kai Liu, Huan Zhou:
Text-Independent Speaker Verification with Adversarial Learning on Short Utterances. 6569-6573 - Zhengyang Chen, Shuai Wang, Yanmin Qian, Kai Yu:
Channel Invariant Speaker Embedding Learning with Joint Multi-Task and Adversarial Training. 6574-6578 - Xu Li, Jinghua Zhong, Xixin Wu, Jianwei Yu, Xunying Liu, Helen Meng:
Adversarial Attacks on GMM I-Vector Based Speaker Verification Systems. 6579-6583 - Yingke Zhu, Brian Mak:
Orthogonal Training for Text-Independent Speaker Verification. 6584-6588 - Rohan Kumar Das, Jichen Yang, Haizhou Li:
Assessing the Scope of Generalized Countermeasures for Anti-Spoofing. 6589-6593 - Naohiro Tawara, Hosana Kamiyama, Satoshi Kobashikawa, Atsunori Ogawa:
Improving Speaker-Attribute Estimation by Voting Based on Speaker Cluster Information. 6594-6598 - João Monteiro, Jahangir Alam, Tiago H. Falk:
An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers. 6599-6603 - Luciana Ferrer, Mitchell McLaren:
A Discriminative Condition-Aware Backend for Speaker Verification. 6604-6608 - Gajan Suthokumar, Vidhyasaharan Sethu, Kaavya Sriskandaraja, Eliathamby Ambikairajah:
Adversarial Multi-Task Learning for Speaker Normalization in Replay Detection. 6609-6613 - Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan:
Robust Speaker Recognition Using Unsupervised Adversarial Invariance. 6614-6618 - Qiongqiong Wang, Koji Okabe, Kong Aik Lee, Takafumi Koshinaka:
A Generalized Framework for Domain Adaptation of PLDA in Speaker Recognition. 6619-6623 - Gang Liu, Ke Gong, Xiaodan Liang, Zhiguang Chen:
CP-GAN: Context Pyramid Generative Adversarial Network for Speech Enhancement. 6624-6628 - Ashutosh Pandey, DeLiang Wang:
Densely Connected Neural Network with Dilated Convolutions for Real-Time Speech Enhancement in The Time Domain. 6629-6633 - Zhihao Du, Ming Lei, Jiqing Han, Shiliang Zhang:
Pan: Phoneme-Aware Network for Monaural Speech Enhancement. 6634-6638 - Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. 6639-6643 - Daiki Takeuchi, Kohei Yatabe, Yuma Koizumi, Yasuhiro Oikawa, Noboru Harada:
Invertible DNN-Based Nonlinear Time-Frequency Transform for Speech Enhancement. 6644-6648 - Jaeyoung Kim, Mostafa El-Khamy, Jungwon Lee:
T-GSA: Transformer with Gaussian-Weighted Self-Attention for Speech Enhancement. 6649-6653 - Tian Lan, Yilan Lyu, Guoqiang Hui, Refuoe Mokhosi, Sen Li, Qiao Liu:
Redundant Convolutional Network With Attention Mechanism For Monaural Speech Enhancement. 6654-6658 - Jalal Abdulbaqi, Yue Gu, Shuhong Chen, Ivan Marsic:
Residual Recurrent Neural Network for Speech Enhancement. 6659-6663 - Yanhui Tu, Jun Du, Chin-Hui Lee:
2D-to-2D Mask Estimation for Speech Enhancement Based on Fully Convolutional Neural Network. 6664-6668 - Ryandhimas E. Zezario, Tassadaq Hussain, Xugang Lu, Hsin-Min Wang, Yu Tsao:
Self-Supervised Denoising Autoencoder with Linear Regression Decoder for Speech Enhancement. 6669-6673 - Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Fully Convolutional Recurrent Networks for Speech Enhancement. 6674-6678 - Peter Plantinga, Deblin Bagchi, Eric Fosler-Lussier:
Phonetic Feedback for Speech Enhancement with and Without Parallel Speech Data. 6679-6683 - Alistair Conkie, Andrew M. Finch:
Scalable Multilingual Frontend for TTS. 6684-6688 - Junjie Pan, Xiang Yin, Zhiling Zhang, Shichao Liu, Yang Zhang, Zejun Ma, Yuxuan Wang:
A Unified Sequence-to-Sequence Front-End Model for Mandarin Text-to-Speech Synthesis. 6689-6693 - Junhui Zhang, Junjie Pan, Xiang Yin, Chen Li, Shichao Liu, Yang Zhang, Yuxuan Wang, Zejun Ma:
A Hybrid Text Normalization System Using Multi-Head Self-Attention For Mandarin. 6694-6698 - Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu:
Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. 6699-6703 - Yujia Xiao, Lei He, Huaiping Ming, Frank K. Soong:
Improving Prosody with Linguistic and Bert Derived Features in Multi-Speaker Based Mandarin Chinese Neural TTS. 6704-6708 - Ruibo Fu, Jianhua Tao, Zhengqi Wen, Jiangyan Yi, Tao Wang:
Focusing on Attention: Prosody Transfer and Adaptative Optimization Strategy for Multi-Speaker End-to-End Speech Synthesis. 6709-6713 - Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment. 6714-6718 - Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao:
GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech. 6719-6723 - Yusuke Yasuda, Xin Wang, Junichi Yamagishi:
Effect of Choice of Probability Distribution, Randomness, and Search Methods for Alignment Modeling in Sequence-to-Sequence Text-to-Speech Synthesis Using Hard Alignment. 6724-6728 - Takuma Okamoto, Tomoki Toda, Yoshinori Shiga, Hisashi Kawai:
Transformer-Based Text-to-Speech with Weighted Forced Attention. 6729-6733 - Yibin Zheng, Xinhui Li, Fenglong Xie, Li Lu:
Improving End-to-End Speech Synthesis with Local Recurrent Neural Network Enhanced Transformer. 6734-6738 - Luc Ardaillon, Axel Roebel:
GCI Detection from Raw Speech Using a Fully-Convolutional Network. 6739-6743 - Midia Yousefi, John H. L. Hansen:
Frame-Based Overlapping Speech Detection Using Convolutional Neural Networks. 6744-6748 - Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth Narayanan:
Learning Domain Invariant Representations for Child-Adult Classification from Speech. 6749-6753 - Mohammad Hashim Javid, Krishna Gurugubelli, Anil Kumar Vuppala:
Single Frequency Filter Bank Based Long-Term Average Spectra for Hypernasality Detection and Assessment in Cleft Lip and Palate Speech. 6754-6758 - Zihao Cui, Changchun Bao, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Autoregressive Parameter Estimation with Dnn-Based Pre-Processing. 6759-6763 - Srikanth Korse, Kishan Gupta, Guillaume Fuchs:
Enhancement of Coded Speech Using a Mask-Based Post-Filter. 6764-6768 - Felicia S. C. Lim, W. Bastiaan Kleijn, Michael Chinen, Jan Skoglund:
Robust Low Rate Speech Coding Based on Cloned Networks and Wavenet. 6769-6773 - Zhiyuan Peng, Siyuan Feng, Tan Lee:
Mixture Factorized Auto-Encoder for Unsupervised Hierarchical Deep Factorization of Speech Signal. 6774-6778 - Ayush Tripathi, Swapnil Bhosale, Sunil Kumar Kopparapu:
A Novel Approach for Intelligibility Assessment in Dysarthric Subjects. 6779-6783 - Jhansi Mallela, Aravind Illa, Suhas B. N., Sathvik Udupa, Yamini Belur, Atchayaram Nalini, Ravi Yadav, Pradeep Reddy, Dipanjan Gope, Prasanta Kumar Ghosh:
Voice based classification of patients with Amyotrophic Lateral Sclerosis, Parkinson's Disease and Healthy Controls with CNN-LSTM using transfer learning. 6784-6788 - Shivani Yadav, Merugu Keerthana, Dipanjan Gope, Uma Maheswari Krishnaswamy, Prasanta Kumar Ghosh:
Analysis of Acoustic Features for Speech Sound Based Classification of Asthmatic and Healthy Subjects. 6789-6793 - Sarthak Yadav, Atul Rai:
Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition. 6794-6798 - Naohiro Tawara, Atsunori Ogawa, Tomoharu Iwata, Marc Delcroix, Tetsuji Ogawa:
Frame-Level Phoneme-Invariant Speaker Embedding for Text-Independent Speaker Recognition on Extremely Short Utterances. 6799-6803 - Tom Ko, Yangbin Chen, Qing Li:
Prototypical Networks for Small Footprint Text-Independent Speaker Verification. 6804-6808 - Chen Chen, Jiqing Han:
TDMF: Task-Driven Multilevel Framework for End-to-End Speaker Verification. 6809-6813 - Bin Gu, Wu Guo, Lirong Dai, Jun Du:
An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. 6814-6818 - Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen:
Partial AUC Optimization Based Deep Speaker Embeddings with Class-Center Learning for Text-Independent Speaker Verification. 6819-6823 - Victoria Mingote, Antonio Miguel, Dayana Ribas, Alfonso Ortega Giménez, Eduardo Lleida:
Knowledge Distillation and Random Erasing Data Augmentation for Text-Dependent Speaker Verification. 6824-6828 - Arsha Nagrani, Joon Son Chung, Samuel Albanie, Andrew Zisserman:
Disentangled Speech Embeddings Using Cross-Modal Self-Supervision. 6829-6833 - Yong Zhao, Tianyan Zhou, Zhuo Chen, Jian Wu:
Improving Deep CNN Networks with Long Temporal Context for Text-Independent Speaker Verification. 6834-6838 - Weiwei Lin, Man-Wai Mak, Na Li, Dan Su, Dong Yu:
Multi-Level Deep Neural Network Adaptation for Speaker Verification Using MMD and Consistency Regularization. 6839-6843 - Siddharth Sigtia, Erik Marchi, Sachin Kajarekar, Devang Naik, John Bridle:
Multi-Task Learning for Speaker Verification and Voice Trigger Detection. 6844-6848 - Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang:
Statistics Pooling Time Delay Neural Network Based on X-Vector for Speaker Verification. 6849-6853 - Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu:
SNDCNN: Self-Normalizing Deep CNNs with Scaled Exponential Linear Units for Speech Recognition. 6854-6858 - Taejin Park, Ken'ichi Kumatani, Minhua Wu, Shiva Sundaram:
Robust Multi-Channel Speech Recognition Using Frequency Aligned Network. 6859-6863 - Sanna Wager, Aparna Khare, Minhua Wu, Ken'ichi Kumatani, Shiva Sundaram:
Fully Learnable Front-End for Multi-Channel Acoustic Modeling Using Semi-Supervised Learning. 6864-6868 - Duc Le, Thilo Köhler, Christian Fuegen, Michael L. Seltzer:
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR. 6869-6873 - Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer:
Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. 6874-6878 - Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu:
Specaugment on Large Scale Datasets. 6879-6883 - Guojing Cong, Brian Kingsbury, Chih-Chieh Yang, Tianyi Liu:
Fast Training of Deep Neural Networks for Speech Recognition. 6884-6888 - Weiran Wang, Qingming Tang, Karen Livescu:
Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction. 6889-6893 - Takafumi Moriya, Hiroshi Sato, Tomohiro Tanaka, Takanori Ashihara, Ryo Masumura, Yusuke Shinohara:
Distilling Attention Weights for CTC-Based ASR Systems. 6894-6898 - Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. 6899-6903 - Wilfried Michel, Ralf Schlüter, Hermann Ney:
Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR. 6904-6908 - Alberto Abad, Peter Bell, Andrea Carmantini, Steve Renals:
Cross Lingual Transfer Learning for Zero-Resource Domain Adaptation. 6909-6913 - Ke Tan, DeLiang Wang:
Improving Robustness of Deep Learning Based Monaural Speech Enhancement Against Processing Artifacts. 6914-6918 - Amin Fazel, Mostafa El-Khamy, Jungwon Lee:
CAD-AEC: Context-Aware Deep Acoustic Echo Cancellation. 6919-6923 - Pramod B. Bachhav, Massimiliano Todisco, Nicholas W. D. Evans:
Artificial Bandwidth Extension Using Conditional Variational Auto-encoders and Adversarial Learning. 6924-6928 - Kevin M. Chu, Leslie M. Collins, Boyla Mainsah:
Using Automatic Speech Recognition and Speech Synthesis to Improve the Intelligibility of Cochlear Implant users in Reverberant Listening Environments. 6929-6933 - Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie:
Speech Intelligibility Enhancement by Equalization for in-Car Applications. 6934-6938 - Poul Hoang, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, Jesper Jensen:
Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval. 6939-6943 - Adel Zahedi, Michael Syskind Pedersen, Jan Østergaard, Lars Bramsløw, Thomas Ulrich Christiansen, Jesper Jensen:
A Constrained Maximum Likelihood Estimator of Speech and Noise Spectra with Application to Multi-Microphone Noise Reduction. 6944-6948 - Hendrik Schröter, Tobias Rosenkranz, Alberto N. Escalante-B., Marc Aubreville, Andreas K. Maier:
CLCNET: Deep Learning-Based Noise Reduction for Hearing aids using Complex Linear Coding. 6949-6953 - Yuanjie Dong, Yaxing Li, Xiaoqi Li, Shan Xu, Dan Wang, Zhihui Zhang, Shengwu Xiong:
A Time-Frequency Network with Channel Attention and Non-Local Modules for Artificial Bandwidth Extension. 6954-6958 - Xiang Hao, Xiangdong Su, Shixue Wen, Zhiyu Wang, Yiqian Pan, Feilong Bao, Wei Chen:
Masking and Inpainting: A Two-Stage Speech Enhancement Approach for Low SNR and Non-Stationary Noise. 6959-6963 - Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy:
3-D Acoustic Modeling for Far-Field Multi-Channel Speech Recognition. 6964-6968 - Zhenyu Tang, Lianwu Chen, Bo Wu, Dong Yu, Dinesh Manocha:
Improving Reverberant Speech Training Using Diffuse Acoustic Simulation. 6969-6973 - Zhenyu Tang, Hsien-Yu Meng, Dinesh Manocha:
Low-Frequency Compensated Synthetic Impulse Responses For Improved Far-Field Speech Recognition. 6974-6978 - Yi-Chen Chen, Zhaojun Yang, Ching-Feng Yeh, Mahaveer Jain, Michael L. Seltzer:
Aipnet: Generative Adversarial Pre-Training of Accent-Invariant Networks for End-To-End Speech Recognition. 6979-6983 - Jianwei Yu, Shi-Xiong Zhang, Jian Wu, Shahram Ghorbani, Bo Wu, Shiyin Kang, Shansong Liu, Xunying Liu, Helen Meng, Dong Yu:
Audio-Visual Recognition of Overlapped Speech for the LRS2 Dataset. 6984-6988 - Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual, Pawel Swietojanski, João Monteiro, Jan Trmal, Yoshua Bengio:
Multi-Task Self-Supervised Learning for Robust Speech Recognition. 6989-6993 - Otavio Braga, Takaki Makino, Olivier Siohan, Hank Liao:
End-to-End Multi-Person Audio/Visual Automatic Speech Recognition. 6994-6998 - Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe:
End-to-End Automatic Speech Recognition Integrated with CTC-Based Voice Activity Detection. 6999-7003 - Thilo von Neumann, Keisuke Kinoshita, Lukas Drude, Christoph Böddeker, Marc Delcroix, Tomohiro Nakatani, Reinhold Haeb-Umbach:
End-to-End Training of Time Domain Audio Separation and Recognition. 7004-7008 - Keisuke Kinoshita, Tsubasa Ochiai, Marc Delcroix, Tomohiro Nakatani:
Improving Noise Robust Automatic Speech Recognition with Single-Channel Time-Domain Enhancement Network. 7009-7013 - Ruizhi Li, Gregory Sell, Xiaofei Wang, Shinji Watanabe, Hynek Hermansky:
A Practical Two-Stage Training Strategy for Multi-Stream End-to-End Speech Recognition. 7014-7018 - Joanna Rownicka, Peter Bell, Steve Renals:
Multi-Scale Octave Convolutions for Robust Speech Recognition. 7019-7023 - Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Steve Renals:
Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition. 7024-7028 - Gary Wang, Andrew Rosenberg, Zhehuai Chen, Yu Zhang, Bhuvana Ramabhadran, Yonghui Wu, Pedro J. Moreno:
Improving Speech Recognition Using Consistent Predictions on Synthesized Speech. 7029-7033 - Yuya Fujita, Aswin Shanmugam Subramanian, Motoi Omachi, Shinji Watanabe:
Attention-Based ASR with Lightweight and Dynamic Convolutions. 7034-7038 - Tara N. Sainath, Ruoming Pang, Ron J. Weiss, Yanzhang He, Chung-Cheng Chiu, Trevor Strohman:
An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. 7039-7043 - Jiabin Xue, Tieran Zheng, Jiqing Han:
Structured Sparse Attention for end-to-end Automatic Speech Recognition. 7044-7048 - Mohammadreza Ghodsi, Xiaofeng Liu, James Apfel, Rodrigo Cabrera, Eugene Weinstein:
Rnn-Transducer with Stateless Prediction Network. 7049-7053 - Ryo Masumura, Mana Ihori, Akihiko Takashima, Takafumi Moriya, Atsushi Ando, Yusuke Shinohara:
Sequence-Level Consistency Training for Semi-Supervised End-to-End Automatic Speech Recognition. 7054-7058 - Van Tung Pham, Haihua Xu, Yerbolat Khassanov, Zhiping Zeng, Eng Siong Chng, Chongjia Ni, Bin Ma, Haizhou Li:
Independent Language Modeling Architecture for End-To-End ASR. 7059-7063 - Aku Rouhe, Tuomas Kaseva, Mikko Kurimo:
Speaker-Aware Training of Attention-Based End-to-End Speech Recognition Using Neural Speaker Embeddings. 7064-7068 - Nick Rossenbach, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems. 7069-7073 - Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg:
Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model. 7074-7078 - Hu Hu, Rui Zhao, Jinyu Li, Liang Lu, Yifan Gong:
Exploring Pre-Training with Alignments for RNN Transducer Based End-to-End Speech Recognition. 7079-7083 - Jacob Kahn, Ann Lee, Awni Y. Hannun:
Self-Training for End-to-End Speech Recognition. 7084-7088 - Minh Pham, Zeqian Li, Jacob Whitehill:
Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. 7089-7093 - Chau Luu, Peter Bell, Steve Renals:
Channel Adversarial Training for Speaker Verification and Diarization. 7094-7098 - Lei Sun, Jun Du, Xueyang Zhang, Tian Gao, Xin Fang, Chin-Hui Lee:
Progressive Multi-Target Network Based Speech Enhancement with Snr-Preselection for Robust Speaker Diarization. 7099-7103 - Yassir Fathullah, Chao Zhang, Philip C. Woodland:
Improved Large-Margin Softmax Loss for Speaker Diarisation. 7104-7108 - Jixuan Wang, Xiong Xiao, Jian Wu, Ranjani Ramamurthy, Frank Rudzicz, Michael Brudno:
Speaker Diarization with Session-Level Speaker Embedding Refinement Using Graph Neural Networks. 7109-7113 - Latané Bullock, Hervé Bredin, Leibny Paola García-Perera:
Overlap-Aware Diarization: Resegmentation Using Neural End-to-End Overlapped Speech Detection. 7114-7118 - Rohan Kumar Das, Haizhou Li:
On the Importance of Vocal Tract Constriction for Speaker Characterization: The Whispered Speech Study. 7119-7123 - Hervé Bredin, Ruiqing Yin, Juan Manuel Coria, Gregory Gelly, Pavel Korshunov, Marvin Lavechin, Diego Fustes, Hadrien Titeux, Wassim Bouaziz, Marie-Philippe Gill:
Pyannote.Audio: Neural Building Blocks for Speaker Diarization. 7124-7128 - Yosuke Higuchi, Masayuki Suzuki, Gakuto Kurata:
Speaker Embeddings Incorporating Acoustic Conditions for Diarization. 7129-7133 - Enrico Fini, Alessio Brutti:
Supervised Online Diarization with Sample Mean Loss for Multi-Domain Data. 7134-7138 - Shuai Wang, Johan Rohdin, Oldrich Plchot, Lukás Burget, Kai Yu, Jan Cernocký:
Investigation of Specaugment for Deep Speaker Embedding Learning. 7139-7143 - Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis G. Georgiou:
Speaker-Invariant Affective Representation Learning via Adversarial Training. 7144-7148 - Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. 7149-7153 - Wenqian Li, Janice Wing Sze Wong, Jung-Yueh Tu:
Gender Differences on the Perception and Production of Utterances with Willingness and Reluctance in Chinese. 7154-7158 - Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Hierarchical Attention Transfer Networks for Depression Assessment from Speech. 7159-7163 - Vasudha Kowtha, Vikramjit Mitra, Chris Bartels, Erik Marchi, Sue Booker, William Caruso, Sachin Kajarekar, Devang Naik:
Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions. 7164-7168 - Raghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak:
X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. 7169-7173 - Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang:
Speech Emotion Recognition with Local-Global Aware Deep Representation Learning. 7174-7178 - Anish Nediyanchath, Periyasamy Paramasivam, Promod Yenigalla:
Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition. 7179-7183 - Zhao Ren, Alice Baird, Jing Han, Zixing Zhang, Björn W. Schuller:
Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. 7184-7188 - Swapnil Bhosale, Rupayan Chakraborty, Sunil Kumar Kopparapu:
Deep Encoded Linguistic and Acoustic Cues for Attention Based End to End Speech Emotion Recognition. 7189-7193 - Upasana Tiwari, Meet H. Soni, Rupayan Chakraborty, Ashish Panda, Sunil Kumar Kopparapu:
Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions. 7194-7198 - Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. 7199-7203 - Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Efficient Shallow Wavenet Vocoder Using Multiple Samples Output Based on Laplacian Distribution and Linear Prediction. 7204-7208 - Chenfeng Miao, Shuang Liang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow. 7209-7213 - Ning-Qian Wu, Zhen-Hua Ling:
WaveFFJORD: FFJORD-Based Vocoder for Statistical Parametric Speech Synthesis. 7214-7218 - Min-Jae Hwang, Eunwoo Song, Ryuichi Yamamoto, Frank K. Soong, Hong-Goo Kang:
Improving LPCNET-Based Text-to-Speech with Linear Prediction-Structured Mixture Density Network. 7219-7223 - Juheon Lee, Hyeong-Seok Choi, Junghyun Koo, Kyogu Lee:
Disentangling Timbre and Singing Style with Multi-Singer Singing Synthesis System. 7224-7228 - Merlijn Blaauw, Jordi Bonada:
Sequence-to-Sequence Singing Synthesis Using the Feed-Forward Transformer. 7229-7233 - Soonbeom Choi, Wonil Kim, Saebyul Park, Sangeon Yong, Juhan Nam:
Korean Singing Voice Synthesis Based on Auto-Regressive Boundary Equilibrium Gan. 7234-7238 - Kazuhiro Nakamura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Fast and High-Quality Singing Voice Synthesis System Based on Convolutional Neural Networks. 7239-7243 - Jordi Bonada, Merlijn Blaauw:
Hybrid Neural-Parametric F0 Model for Singing Synthesis. 7244-7248 - Tomoki Koriyama, Hiroshi Saruwatari:
Utterance-Level Sequential Modeling for Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit. 7249-7253 - Se-Yun Um, Sangshin Oh, Kyungguen Byun, Inseon Jang, Chunghyun Ahn, Hong-Goo Kang:
Emotional Speech Synthesis with Rich and Granularized Control. 7254-7258 - Alexander H. Liu, Tao Tu, Hung-yi Lee, Lin-Shan Lee:
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning. 7259-7263 - Berkan Kadioglu, Michael Horgan, Xiaoyu Liu, Jordi Pons, Dan Darcy, Vivek Kumar:
An Empirical Study of Conv-Tasnet. 7264-7268 - Zhaoheng Ni, Michael I. Mandel:
Mask-Dependent Phase Estimation for Monaural Speaker Separation. 7269-7273 - Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau:
Joint Phoneme Alignment and Text-Informed Speech Separation on Highly Corrupted Speech. 7274-7278 - Xiang Li, Rui Liu, Tao Song, Xihong Wu, Jing Chen:
Single-Channel Speech Separation Integrating Pitch Information Based on a Multi Task Learning Framework. 7279-7283 - Zhuo Chen, Takuya Yoshioka, Liang Lu, Tianyan Zhou, Zhong Meng, Yi Luo, Jian Wu, Xiong Xiao, Jinyu Li:
Continuous Speech Separation: Dataset and Analysis. 7284-7288 - Seongkyu Mun, Soyeon Choe, Jaesung Huh, Joon Son Chung:
The Sound of My Voice: Speaker Representation Loss for Target Voice Separation. 7289-7293 - Xuan Ji, Meng Yu, Chunlei Zhang, Dan Su, Tao Yu, Xiaoyu Liu, Dong Yu:
Speaker-Aware Target Speaker Enhancement by Jointly Learning with Speaker Embedding Extraction. 7294-7298 - Aswin Shanmugam Subramanian, Chao Weng, Meng Yu, Shi-Xiong Zhang, Yong Xu, Shinji Watanabe, Dong Yu:
Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives. 7299-7303 - Xin Wang, Jun Du, Alejandrina Cristià, Lei Sun, Chin-Hui Lee:
A Study of Child Speech Extraction Using Joint Speech Enhancement and Separation in Realistic Conditions. 7304-7308 - Luca Pasa, Giovanni Morrone, Leonardo Badino:
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-Talker Single Channel Audio-Visual ASR. 7309-7313 - Chenda Li, Yanmin Qian:
Deep Audio-Visual Speech Separation with Attention Mechanism. 7314-7318 - Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu:
Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning. 7319-7323 - Jiahong Yuan, Hui Lin, Yang Liu:
Detection and Analysis of T/D Deletion in Librispeech. 7324-7328 - Simon Stone, Philipp Schmidt, Peter Birkholz:
Prediction of Voicing and the F0 Contour from Electromagnetic Articulography Data for Articulation-to-Speech Synthesis. 7329-7333 - Abhayjeet Singh, Aravind Illa, Prasanta Kumar Ghosh:
A Comparative Study of Estimating Articulatory Movements from Phoneme Sequences and Acoustic Features. 7334-7338 - Sasan Asadiabadi, Engin Erzin:
Automatic Vocal Tractlandmark Tracking in Rtmri Using Fully Convolutional Networks and Kalman Filter. 7339-7343 - Wenbo Zhao, Rita Singh:
Speech-Based Parameter Estimation of an Asymmetric Vocal Fold Oscillation Model and its Application in Discriminating Vocal Fold Pathologies. 7344-7348 - Yuqin Lin, Longbiao Wang, Jianwu Dang, Sheng Li, Chenchen Ding:
End-to-End Articulatory Modeling for Dysarthric Articulatory Attribute Detection. 7349-7353 - S. Ashwin Hebbar, Rahul Sharma, Krishna Somandepalli, Asterios Toutios, Shrikanth Narayanan:
Vocal Tract Articulatory Contour Detection in Real-Time Magnetic Resonance Images Using Spatio-Temporal Context. 7354-7358 - Zhao Zhang, Kiyoshi Honda, Jianguo Wei:
Retrieving Vocal-Tract Resonance and anti-Resonance From High-Pitched Vowels Using a Rahmonic Subtraction Technique. 7359-7363 - Pavan Kulkarni, Jishnu Sadasivan, Aniruddha Adiga, Chandra Sekhar Seelamantula:
Epoch Estimation from a Speech Signal Using Gammatone Wavelets in a Scattering Network. 7364-7368 - Haala Deeba Abbas, RaviShankar Prasad, Bhanu Teja Nellore, Suryakanth V. Gangashetty:
Study of Closed Phase Resonance Bandwidths for Oral and Nasal Tracts Using Zero Time Windowing. 7369-7373 - Alëna Aksënova, Antoine Bruguier, Amanda Ritchart-Scott, Uri Mendlovic:
Algorithmic Exploration of American English Dialects. 7374-7378 - Sudarsana Reddy Kadiri, Paavo Alku, B. Yegnanarayana:
Comparison of Glottal Closure Instants Detection Algorithms for Emotional Speech. 7379-7383 - Leda Sari, Niko Moritz, Takaaki Hori, Jonathan Le Roux:
Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory for End-to-End ASR. 7384-7388 - Zhong Meng, Hu Hu, Jinyu Li, Changliang Liu, Yan Huang, Yifan Gong, Chin-Hui Lee:
L-Vector: Neural Label Embedding for Domain Adaptation. 7389-7393 - Yan Huang, Yifan Gong:
Acoustic Model Adaptation for Presentation Transcription and Intelligent Meeting Assistant Systems. 7394-7398 - Yan Huang, Lei He, Wenning Wei, William Gale, Jinyu Li, Yifan Gong:
Using Personalized Speech Synthesis and Neural Language Generator for Rapid Speaker Adaptation. 7399-7403 - Fenglin Ding, Wu Guo, Lirong Dai, Jun Du:
Attention-Based Gated Scaling Adaptive Acoustic Model for CTC-Based Speech Recognition. 7404-7408 - Kisoo Kwon, Hwidong Na, Hoshik Lee, Nam Soo Kim:
Adaptive Knowledge Distillation Based on Entropy. 7409-7413 - Morgane Rivière, Armand Joulin, Pierre-Emmanuel Mazaré, Emmanuel Dupoux:
Unsupervised Pretraining Transfers Well Across Languages. 7414-7418 - Banriskhem K. Khonglah, Srikanth R. Madikeri, Subhadeep Dey, Hervé Bourlard, Petr Motlícek, Jayadev Billa:
Incremental Semi-Supervised Learning for Multi-Genre Speech Recognition. 7419-7423 - Feifei Xiong, Jon Barker, Zhengjun Yue, Heidi Christensen:
Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. 7424-7428 - Hemant Kumar Kathania, Sudarsana Reddy Kadiri, Paavo Alku, Mikko Kurimo:
Study of Formant Modification for Children ASR. 7429-7433 - Avni Rajpal, M. V. Achuth Rao, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh:
Pseudo Likelihood Correction Technique for Low Resource Accented ASR. 7434-7438 - Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane:
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. 7439-7443 - Jingyong Hou, Yangyang Shi, Mari Ostendorf, Mei-Yuh Hwang, Lei Xie:
Mining Effective Negative Training Samples for Keyword Spotting. 7444-7448 - Siddharth Sigtia, Pascal Clark, Rob Haynes, Hywel Richards, John Bridle:
Multi-Task Learning for Voice Trigger Detection. 7449-7453 - Simon Mittermaier, Ludwig Kürzinger, Bernd Waschneck, Gerhard Rigoll:
Small-Footprint Keyword Spotting on Raw Audio Data with Sinc-Convolutions. 7454-7458 - Pranay Dighe, Saurabh Adya, Nuoyu Li, Srikanth Vishnubhotla, Devang Naik, Adithya Sagar, Ying Ma, Stephen Pulman, Jason D. Williams:
Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. 7459-7463 - Xuan Ji, Meng Yu, Jie Chen, Jimeng Zheng, Dan Su, Dong Yu:
Integration of Multi-Look Beamformers for Multi-Channel Keyword Spotting. 7464-7468 - Jonathan Wintrode, Jenny Wilkes:
Fast Lattice-Free Keyword Filtering for Accelerated Spoken Term Detection. 7469-7473 - James Lin, Kevin Kilgour, Dominik Roblek, Matthew Sharifi:
Training Keyword Spotters with Limited and Synthesized Speech Data. 7474-7478 - Yixin Gao, Yuriy Mishchenko, Anish Shah, Spyros Matsoukas, Shiv Vitaladevuni:
Towards Data-Efficient Modeling for Wake Word Spotting. 7479-7483 - Eva Sharma, Guoli Ye, Wenning Wei, Rui Zhao, Yao Tian, Jian Wu, Lei He, Ed Lin, Yifan Gong:
Adaptation of RNN Transducer with Text-To-Speech Technology for Keyword Spotting. 7484-7488 - Haikang Yan, Qianhua He, Wei Xie:
Crnn-Ctc Based Mandarin Keywords Spotting. 7489-7493 - Rohit Kumar, Anirudh Sreeram, Anurenjan Purushothaman, Sriram Ganapathy:
Unsupervised Neural Mask Estimator for Generalized Eigen-Value Beamforming Based Asr. 7494-7498 - Weipeng He, Lu Lu, Biqiao Zhang, Jay Mahadeokar, Kaustubh Kalgaonkar, Christian Fuegen:
Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks. 7499-7503 - Jun Qi, Hu Hu, Yannan Wang, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Chin-Hui Lee:
Tensor-To-Vector Regression for Multi-Channel Speech Enhancement Based on Tensor-Train Network. 7504-7508 - Bohan Chen, He Wang, Yue Wei, Richard Hau Yue So:
Truth-to-Estimate Ratio Mask: A Post-Processing Method for Speech Enhancement Direct at Low Signal-to-Noise Ratios. 7509-7513 - Xin Tang, Jun Du, Li Chai, Yannan Wang, Qing Wang, Chin-Hui Lee:
Geometry Constrained Progressive Learning for Lstm-Based Speech Enhancement. 7514-7518 - Ziyi Xu, Samy Elshamy, Tim Fingscheidt:
Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement. 7519-7523 - Masaki Kawanaka, Yuma Koizumi, Ryoichi Miyazaki, Kohei Yatabe:
Stable Training of Dnn for Speech Enhancement Based on Perceptually-Motivated Black-Box Cost Function. 7524-7528 - Wupeng Wang, Chao Xing, Dong Wang, Xiao Chen, Fengyu Sun:
A Robust Audio-Visual Speech Enhancement Model. 7529-7533 - Mostafa Sadeghi, Xavier Alameda-Pineda:
Robust Unsupervised Audio-Visual Speech Enhancement Using a Mixture of Variational Autoencoders. 7534-7538 - Michael L. Iuzzolino, Kazuhito Koishida:
AV(SE)2: Audio-Visual Squeeze-Excite Speech Enhancement. 7539-7543 - Hao Shi, Longbiao Wang, Meng Ge, Sheng Li, Jianwu Dang:
Spectrograms Fusion with Minimum Difference Masks Estimation for Monaural Speech Dereverberation. 7544-7548 - Yuying Li, Donald S. Williamson:
A Return to Dereverberation in the Frequency Domain Using a Joint Learning Approach. 7549-7553 - S. Shahnawazuddin, Waquar Ahmad, Nagaraj Adiga, Avinash Kumar:
In-Domain and Out-of-Domain Data Augmentation to Improve Children's Speaker Verification System in Limited Data Scenario. 7554-7558 - Daniel Garcia-Romero, Alan McCree, David Snyder, Gregory Sell:
Jhu-HLTCOE System for the Voxsrc Speaker Recognition Challenge. 7559-7563 - Guillermo Cámbara, Jordi Luque, Mireia Farrús:
Detection of Speech Events and Speaker Characteristics through Photo-Plethysmographic Signal Neural Processing. 7564-7568 - Hao Lu, Jianfeng Zhou, Miao Zhao, Wendian Lei, Qingyang Hong, Lin Li:
XMU-TS Systems for NIST SRE19 CTS Challenge. 7569-7573 - Umair Khan, Miquel India, Javier Hernando:
I-Vector Transformation Using K-Nearest Neighbors for Speaker Verification. 7574-7578 - Yanpei Shi, Qiang Huang, Thomas Hain:
H-Vectors: Utterance-Level Speaker Embedding Using a Hierarchical Attention Model. 7579-7583 - Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, L. Paola García-Perera, Najim Dehak:
Feature Enhancement with Deep Feature Losses for Speaker Verification. 7584-7588 - Qian-Bei Hong, Chung-Hsien Wu, Hsin-Min Wang, Chien-Lin Huang:
Combining Deep Embeddings of Acoustic and Articulatory Features for Speaker Identification. 7589-7593 - Bengt J. Borgström, Pedro A. Torres-Carrasquillo:
Bayesian Estimation of Plda with Noisy Training Labels, with Applications to Speaker Verification. 7594-7598 - Phani Sankar Nidadavolu, Saurabh Kataria, Jesús Villalba, L. Paola García-Perera, Najim Dehak:
Unsupervised Feature Enhancement for Speaker Verification. 7599-7603 - Yue Fan, Jiawen Kang, Lantian Li, Kaicheng Li, Haolin Chen, Sitong Cheng, Pengyuan Zhang, Ziya Zhou, Yunqi Cai, Dong Wang:
CN-Celeb: A Challenging Chinese Speaker Recognition Dataset. 7604-7608 - Xiaoyi Qin, Hui Bu, Ming Li:
HI-MIA: A Far-Field Text-Dependent Speaker Verification Database and the Baselines. 7609-7613 - Xuehao Zhou, Xiaohai Tian, Grandee Lee, Rohan Kumar Das, Haizhou Li:
End-to-End Code-Switching TTS with Cross-Lingual Language Model. 7614-7618 - Yuewen Cao, Songxiang Liu, Xixin Wu, Shiyin Kang, Peng Liu, Zhiyong Wu, Xunying Liu, Dan Su, Dong Yu, Helen Meng:
Code-Switched Speech Synthesis Using Bilingual Phonetic Posteriorgram with Only Monolingual Corpora. 7619-7623 - Soumi Maiti, Erik Marchi, Alistair Conkie:
Generating Multilingual Voices Using Speaker Space Translation Based on Bilingual Speaker Data. 7624-7628 - Ivan Himawan, Sandesh Aryal, Iris Ouyang, Sam Kang, Pierre Lanchantin, Simon King:
Speaker Adaptation of a Multilingual Acoustic Model for Cross-Language Synthesis. 7629-7633 - Katsuki Inoue, Sunao Hara, Masanobu Abe, Tomoki Hayashi, Ryuichi Yamamoto, Shinji Watanabe:
Semi-Supervised Speaker Adaptation for End-to-End Speech Synthesis with Pretrained Models. 7634-7638 - Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. 7639-7643 - Takato Fujimoto, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Semi-Supervised Learning Based on Hierarchical Generative Models for End-to-End Speech Synthesis. 7644-7648 - Éva Székely, Gustav Eje Henter, Jonas Beskow, Joakim Gustafson:
Breathing and Speech Planning in Spontaneous Speech Synthesis. 7649-7653 - Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan:
Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. 7654-7658 - Xiao Zhou, Zhen-Hua Ling, Li-Rong Dai:
Extracting Unit Embeddings Using Sequence-To-Sequence Acoustic Models for Unit Selection Speech Synthesis. 7659-7663 - Alexandros Koumparoulis, Gerasimos Potamianos, Samuel Thomas, Edmilson da Silva Morais:
Audio-Assisted Image Inpainting for Talking Faces. 7664-7668 - Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. 7669-7673 - Vitalii Bozheniuk, Albert Zeyer, Ralf Schlüter, Hermann Ney:
A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR. 7674-7678 - Mohammad Zeineldeen, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR. 7679-7683 - Chanwoo Kim, Kwangyoun Kim, Sathish Reddy Indurthi:
Small Energy Masking for Improved Neural Network Training for End-To-End Speech Recognition. 7684-7688 - Thai-Son Nguyen, Sebastian Stüker, Jan Niehues, Alex Waibel:
Improving Sequence-To-Sequence Speech Recognition Training with On-The-Fly Data Augmentation. 7689-7693 - Alexei Baevski, Abdelrahman Mohamed:
Effectiveness of Self-Supervised Pre-Training for ASR. 7694-7698 - Jinyu Li, Rui Zhao, Eric Sun, Jeremy Heng Meng Wong, Amit Das, Zhong Meng, Yifan Gong:
High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model. 7699-7703 - Zhao You, Dan Su, Jie Chen, Chao Weng, Dong Yu:
Dfsmn-San with Persistent Memory Model for Automatic Speech Recognition. 7704-7708 - Jiaqi Xie, Ruijie Yan, Shanyu Xiao, Liangrui Peng, Michael T. Johnson, Wei-Qiang Zhang:
Dynamic Temporal Residual Learning for Speech Recognition. 7709-7713 - Titouan Parcollet, Mohamed Morchid, Georges Linarès:
E2E-SINCNET: Toward Fully End-To-End Speech Recognition. 7714-7718 - Chenpeng Du, Kai Yu:
Speaker Augmentation for Low Resource Speech Recognition. 7719-7723 - Paul-Gauthier Noé, Titouan Parcollet, Mohamed Morchid:
CGCNN: Complex Gabor Convolutional Neural Network on Raw Speech. 7724-7728 - Ruobai Wang, Yu Ding, Lincheng Li, Changjie Fan:
One-Shot Voice Conversion Using Star-Gan. 7729-7733 - Da-Yi Wu, Hung-Yi Lee:
One-Shot Voice Conversion by Vector Quantization. 7734-7738 - Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie:
Neutral to Lombard Speech Conversion with Deep Learning. 7739-7743 - Disong Wang, Jianwei Yu, Xixin Wu, Songxiang Liu, Lifa Sun, Xunying Liu, Helen Meng:
End-To-End Voice Conversion Via Cross-Modal Knowledge Distillation for Dysarthric Speech Reconstruction. 7744-7748 - Chengqi Deng, Chengzhu Yu, Heng Lu, Chao Weng, Dong Yu:
Pitchnet: Unsupervised Singing Voice Conversion with Pitch Adversarial Network. 7749-7753 - Feng-Long Xie, Xinhui Li, Bo Liu, Yibin Zheng, Li Meng, Li Lu, Frank K. Soong:
An Improved Frame-Unit-Selection Based Voice Conversion System Without Parallel Training Data. 7754-7758 - Ruolan Liu, Xiao Chen, Xue Wen:
Voice Conversion with Transformer Network. 7759 - Harshit Malaviya, Jui Shah, Maitreya Patel, Jalansh Munshi, Hemant A. Patil:
Mspec-Net : Multi-Domain Speech Conversion Network. 7764-7768 - Mohamed Elgaar, Jungbae Park, Sang Wan Lee:
Multi-Speaker and Multi-Domain Emotional Voice Conversion Using Factorized Hierarchical Variational Autoencoder. 7769-7773 - Tae-Ho Kim, Sungjae Cho, Shinkook Choi, Sejik Park, Soo-Young Lee:
Emotional Voice Conversion Using Multitask Learning with Text-To-Speech. 7774-7778 - Hongqiang Du, Xiaohai Tian, Lei Xie, Haizhou Li:
Effective Wavenet Adaptation for Voice Conversion with Limited Data. 7779-7783 - Takaaki Saeki, Yuki Saito, Shinnosuke Takamichi, Hiroshi Saruwatari:
Lifter Training and Sub-Band Modeling for Computationally Efficient and High-Quality Voice Conversion Using Spectral Differentials. 7784-7788 - Cal Peyser, Tara N. Sainath, Golan Pundak:
Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion. 7789-7793 - Rao Ma, Hao Li, Qi Liu, Lu Chen, Kai Yu:
Neural Lattice Search for Speech Recognition. 7794-7798 - Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar:
Deliberation Model Based Two-Pass End-To-End Speech Recognition. 7799-7803 - George Saon, Zoltán Tüske, Kartik Audhkhasi:
Alignment-Length Synchronous Decoding for RNN Transducer. 7804-7808 - Ben Haynor, Petar S. Aleksic:
Incorporating Written Domain Numeric Grammars into End-To-End Contextual Speech Recognition Systems for Improved Recognition of Numeric Sequences. 7809-7813 - Javier Jorge, Adrià Giménez, Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Jorge Civera, Albert Sanchís, Alfons Juan:
LSTM-Based One-Pass Decoder for Low-Latency Streaming. 7814-7818 - Zelin Wu, Bo Li, Yu Zhang, Petar S. Aleksic, Tara N. Sainath:
Multistate Encoding with End-To-End Speech RNN Transducer Network. 7819-7823 - Ehsan Variani, Tongzhou Chen, James Apfel, Bhuvana Ramabhadran, Seungji Lee, Pedro J. Moreno:
Neural Oracle Search on N-BEST Hypotheses. 7824-7828 - Qian Zhang, Han Lu, Hasim Sak, Anshuman Tripathi, Erik McDermott, Stephen Koo, Shankar Kumar:
Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss. 7829-7833 - Wei Zhou, Ralf Schlüter, Hermann Ney:
Full-Sum Decoding for Hybrid Hmm Based Speech Recognition Using LSTM Language Model. 7834-7838 - Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment. 7839-7843 - Jui-Yang Hsu, Yuan-Jui Chen, Hung-yi Lee:
Meta Learning for End-To-End Low-Resource Speech Recognition. 7844-7848 - Simon Stone, Peter Birkholz:
Cross-Speaker Silent-Speech Command Word Recognition Using Electro-Optical Stomatography. 7849-7853 - Parnia Bahar, Nikita Makarov, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition. 7854-7858 - Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy:
Improving Device Directedness Classification of Utterances With Semantic Lexical Features. 7859-7863 - Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR Models By Generation of Contextual Information. 7864-7868 - Madhumitha Sakthi, Ahmed H. Tewfik, Raj Pawate:
Speech Recognition Model Compression. 7869-7873 - Hugo Braun, Justin Luitjens, Ryan Leary, Tim Kaldewey, Daniel Povey:
Gpu-Accelerated Viterbi Exact Lattice Decoder for Batched Online and Offline Speech Recognition. 7874-7878 - Alexander H. Liu, Tzu-Wei Sung, Shun-Po Chuang, Hung-yi Lee, Lin-Shan Lee:
Sequence-to-Sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding. 7879-7883 - Zhengkun Tian, Jiangyan Yi, Ye Bai, Jianhua Tao, Shuai Zhang, Zhengqi Wen:
Synchronous Transformers for end-to-end Speech Recognition. 7884-7888 - Metilda Sagaya Mary N. J, Vishwas M. Shetty, Srinivasan Umesh:
Investigation of Methods to Improve the Recognition Performance of Tamil-English Code-Switched Data in Transformer Framework. 7889-7893 - Nafis Sadeq, Shafayat Ahmed, Sudipta Saha Shubha, Md. Nahidul Islam, Muhammad Abdullah Adnan:
Bangla Voice Command Recognition in end-to-end System Using Topic Modeling based Contextual Rescoring. 7894-7898 - Hyun-Jin Park, Patrick Violette, Niranjan Subrahmanya:
Learning to Detect Keyword Parts and Whole by Smoothed Max Pooling. 7899-7903 - Sathish Reddy Indurthi, Houjeung Han, Nikhil Kumar Lakumarapu, Beomseok Lee, Insoo Chung, Sangha Kim, Chanwoo Kim:
End-end Speech-to-Text Translation with Modality Agnostic Meta-Learning. 7904-7908 - Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater:
Analyzing ASR Pretraining for Low-Resource Speech-to-Text Translation. 7909-7913 - Mattia Antonino Di Gangi, Viet-Nhat Nguyen, Matteo Negri, Marco Turchi:
Instance-based Model Adaptation for Direct Speech Translation. 7914-7918 - Naveen Arivazhagan, Colin Cherry, Te I, Wolfgang Macherey, Pallavi Baljekar, George F. Foster:
Re-Translation Strategies for Long Form, Simultaneous, Spoken Language Translation. 7919-7923 - Arya D. McCarthy, Liezl Puzon, Juan Miguel Pino:
SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation. 7924-7928 - Mei Tu, Fan Zhang, Wei Liu:
End-to-End Speech Translation with Self-Contained Vocabulary Manipulation. 7929-7933 - Ke Li, Zhe Liu, Tianxing He, Hongzhao Huang, Fuchun Peng, Daniel Povey, Sanjeev Khudanpur:
An Empirical Study of Transformer-Based Neural Language Model Adaptation. 7934-7938 - Junhao Xu, Xie Chen, Shoukang Hu, Jianwei Yu, Xunying Liu, Helen Meng:
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of Multipliers. 7939-7943 - Ankur Gandhe, Ariya Rastrow:
Audio-Attention Discriminative Language Model for ASR Rescoring. 7944-7948 - Shun-Po Chuang, Tzu-Wei Sung, Hung-yi Lee:
Training Code-Switching Language Model with Monolingual Data. 7949-7953 - Alexander Gerstenberger, Kazuki Irie, Pavel Golik, Eugen Beck, Hermann Ney:
Domain Robust, Fast, and Compact Neural Language Models. 7954-7958 - Yiheng Huang, Jinchuan Tian, Lei Han, Guangsen Wang, Xingcheng Song, Dan Su, Dong Yu:
A Random Gossip BMUF Process for Neural Language Modeling. 7959-7963 - Joo-Kyung Kim, Young-Bum Kim:
Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification. 7964-7968 - Zheng Chen, Xing Fan, Yuan Ling:
Pre-Training for Query Rewriting in a Spoken Language Understanding System. 7969-7973 - Elisavet Palogiannidi, Ioannis Gkinis, George Mastrapas, Petr Mizera, Themos Stafylakis:
End-to-End Architectures for ASR-Free Spoken Language Understanding. 7974-7978 - Ryan Price:
End-To-End Spoken Language Understanding Without Matched Language Speech Model Pretraining Data. 7979-7983 - Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas, Zvi Kons, Kartik Audhkhasi, Brian Kingsbury, Ron Hoory, Michael Picheny:
Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems. 7984-7988 - Jamin Shin, Peng Xu, Andrea Madotto, Pascale Fung:
Generating Empathetic Responses by Looking Ahead the User's Sentiment. 7989-7993 - Yuke Si, Longbiao Wang, Jianwu Dang, Mengfei Wu, Aijun Li:
A Hierarchical Model for Dialog Act Recognition Considering Acoustic and Lexical Context Information. 7994-7998 - Pengwei Wang, Liangchen Wei, Yong Cao, Jinghui Xie, Zaiqing Nie:
Large-Scale Unsupervised Pre-Training for End-to-End Spoken Language Understanding. 7999-8003 - Dan Su, Pascale Fung:
Improving Spoken Question Answering Using Contextualized Word Representation. 8004-8008 - Chao-Wei Huang, Yun-Nung Chen:
Learning Asr-Robust Contextualized Embeddings for Spoken Language Understanding. 8009-8013 - Jieyu Li, Su Zhu, Kai Yu:
A Hierarchical Tracker for Multi-Domain Dialogue State Tracking. 8014-8018 - Yu Wang, Yilin Shen, Hongxia Jin:
A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking. 8019-8023 - Yen-Chen Wu, Bo-Hsiang Tseng, Carl Edward Rasmussen:
Improving Sample-Efficiency in Reinforcement Learning for Dialogue Systems by Using Trainable-Action-Mask. 8024-8028 - Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen:
Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. 8029-8033 - Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara:
A Simple But Effective Bert Model for Dialog State Tracking on Resource-Limited Systems. 8034-8038 - Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. 8039-8043 - Yun-Shao Lin, Chi-Chun Lee:
Predicting Performance Outcome with a Conversational Graph Convolutional Network for Small Group Interactions. 8044-8048 - Aman Alok, Rahul Gupta, Shankar Ananthakrishnan:
Design Considerations for Hypothesis Rejection Modules in Spoken Language Understanding Systems. 8049-8053 - Dave Makhervaks, William Hinthorn, Dimitrios Dimitriadis, Andreas Stolcke:
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings. 8054-8058 - Hideyuki Tachibana, Yotaro Katayama:
Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent Dictionaries. 8059-8063 - Daniel Ortega, Chia-Yu Li, Ngoc Thang Vu:
OH, JEEZ! or UH-HUH? A Listener-Aware Backchannel Predictor on ASR Transcriptions. 8064-8068 - Qian Chen, Mengzhe Chen, Bo Li, Wen Wang:
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection. 8069-8073 - Victor Ardulov, Zane Durante, Shanna Williams, Thomas D. Lyon, Shrikanth Narayanan:
Identifying Truthful Language in Child Interviews. 8074-8078 - Zhenyu Wang, John H. L. Hansen, Yanlu Xie:
A multi-view approach for Mandarin non-native mispronunciation verification. 8079-8083 - Alexander Kain, Amie Roten, Robert Gale:
Diacritic-Level Pronunciation Analysis Using Phonological Features. 8084-8088 - Felix Kreuk, Yaniv Sheena, Joseph Keshet, Yossi Adi:
Phoneme Boundary Detection Using Learnable Segmental Features. 8089-8093 - Nithin Rao Koluguri, Manoj Kumar, So Hyun Kim, Catherine Lord, Shrikanth Narayanan:
Meta-Learning for Robust Child-Adult Classification from Speech. 8094-8098 - Peter Birkholz, Xinyu Zhang:
Accounting for Microprosody in Modeling Intonation. 8099-8103 - Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud, Chloé Clavel:
How confident are you? Exploring the role of fillers in the automatic prediction of a speaker's confidence. 8104-8108 - Leda Sari, Samuel Thomas, Mark Hasegawa-Johnson:
Training Spoken Language Understanding Systems with Non-Parallel Speech and Text. 8109-8113 - Sahar Ghannay, Antoine Neuraz, Sophie Rosset:
What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings? 8114-8118 - Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell:
Fast Intent Classification for Spoken Language Understanding Systems. 8119-8123 - Shintaro Ando, Masayuki Suzuki, Nobuyasu Itoh, Gakuto Kurata, Nobuaki Minematsu:
Converting Written Language to Spoken Language with Neural Machine Translation for Language Modeling. 8124-8128 - Rao Ma, Lesheng Jin, Qi Liu, Lu Chen, Kai Yu:
Addressing the Polysemy Problem in Language Modeling with Attentional Multi-Sense Embeddings. 8129-8133 - Aditya Srinivas Timmaraju, Angli Liu, Pushkar Tripathi:
Addressing Challenges in Building Web-Scale Content Classification Systems. 8134-8138 - Li-Phen Yen, Zheng-Yu Wu, Kuan-Yu Chen:
A Neural Document Language Modeling Framework for Spoken Document Retrieval. 8139-8143 - Shao-Wei Fan-Jiang, Tien-Hong Lo, Berlin Chen:
Spoken Document Retrieval Leveraging Bert-Based Modeling and Query Reformulation. 8144-8148 - Karan Singla, Shrikanth Narayanan:
Multitask Learning for Darpa Lorelei's Situation Frame Extraction Task. 8149-8153 - Ieva Staliunaite, Ignacio Iacobacci:
Auxiliary Capsules for Natural Language Understanding. 8154-8158 - Yifei Zhang, Hao Zhu:
Discrete Wasserstein Autoencoders for Document Retrieval. 8159-8163 - Sameer Bansal, Herman Kamper, Adam Lopez, Sharon Goldwater:
Cross-Lingual Topic Prediction For Speech Using Translations. 8164-8168 - Youssouf Chherawala, Hans J. G. A. Dolfing, Ryan S. Dixon, Jerome R. Bellegarda:
Embedded Large-Scale Handwritten Chinese Character Recognition. 8169-8173 - Akash Mehra, Jerome R. Bellegarda, Ojas Bapat, Partha Lal, Xin Wang:
Leveraging Gans to Improve Continuous Path Keyboard Input Models. 8174-8178 - Recep Doga Siyli, Batuhan Gündogdu, Murat Saraclar, Lale Akarun:
Unsupervised Key Hand Shape Discovery of Sign Language Videos with Correspondence Sparse Autoencoders. 8179-8183 - Nazif Can Tamer, Murat Saraçlar:
Keyword Search for Sign Language. 8184-8188 - Mana Ihori, Akihiko Takashima, Ryo Masumura:
Large-Context Pointer-Generator Networks for Spoken-to-Written Style Conversion. 8189-8193 - Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh:
From Unsupervised Machine Translation to Adversarial Text Generation. 8194-8198 - Wei Wang, Hai-Tao Zheng, Zibo Lin:
Self-Attention and Retrieval Enhanced Neural Networks for Essay Generation. 8199-8203 - Sunghyun Park, Junsung Son, Seung-won Hwang, KyungLang Park:
Bert is Not All You Need for Commonsense Inference. 8204-8208 - Bing Ma, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao:
Semi-Supervised Sentence Classification Based on User Polarity in the Social Scenarios. 8209-8213 - Yunfu Song, Zhijian Ou, Zitao Liu, Songfan Yang:
Upgrading CRFS to JRFS and its Benefits to Sequence Modeling and Labeling. 8214-8218 - Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li:
Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization. 8219-8223 - Youcheng Pan, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang:
Learning to Generate Diverse Questions from Keywords. 8224-8228 - Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchís, Jorge Civera, Alfons Juan:
Europarl-ST: A Multilingual Corpus for Speech Translation of Parliamentary Debates. 8229-8233 - Mingzhi Yu, Hieu Duy Nguyen, Alex Sokolov, Jack Lepird, Kanthashree Mysore Sathyendra, Samridhi Choudhary, Athanasios Mouchtaris, Siegfried Kunzmann:
Multilingual Grapheme-To-Phoneme Conversion with Byte Representation. 8234-8238 - Arindrima Datta, Bhuvana Ramabhadran, Jesse Emond, Anjuli Kannan, Brian Roark:
Language-Agnostic Multilingual Modeling. 8239-8243 - Suwon Shon, Ahmed Ali, Younes Samih, Hamdy Mubarak, James R. Glass:
ADI17: A Fine-Grained Arabic Dialect Identification Dataset. 8244-8248 - Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze:
Universal Phone Recognition with a Multilingual Allophone System. 8249-8253 - Vinit Unni, Nitish Joshi, Preethi Jyothi:
Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition. 8254-8258 - Zhili Tan, Xinghua Fan, Hui Zhu, Ed Lin:
Addressing Accent Mismatch In Mandarin-English Code-Switching Speech Recognition. 8259-8263 - Yoonjae Jeong, Hoon-Young Cho:
Detecting Mismatch Between Text Script and Voice-Over Using Utterance Verification Based on Phoneme Recognition Ranking. 8264-8268 - Martha Yifiru Tachbelie, Ayimunishagu Abulimiti, Solomon Teferra Abate, Tanja Schultz:
DNN-Based Speech Recognition for Globalphone Languages. 8269-8273 - Solomon Teferra Abate, Martha Yifiru Tachbelie, Tanja Schultz:
Deep Neural Networks Based Automatic Speech Recognition for Four Ethiopian Languages. 8274-8278 - Vishwas M. Shetty, Metilda Sagaya Mary N. J, Srinivasan Umesh:
Improving the Performance of Transformer Based Low Resource Speech Recognition for Indian Languages. 8279-8283 - Andrew Titus, Jan Silovský, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal:
Improving Language Identification for Multilingual Speakers. 8284-8288 - Aditya Deshmukh, Jing Liu, Venugopal V. Veeravalli, Gunjan Verma:
Information Flow Optimization in Inference Networks. 8289-8293 - Junting Chen:
Exploiting Two-Dimensional Symmetry and Unimodality for Model-Free Source Localization in Harsh Environment. 8294-8298 - Yingjun Deng, Huaming Wu, Chao Jiang:
Uncertainty Quantification for Remaining Useful Lifetime Prediction with Multi-Channel Sensory Data. 8299-8303 - Fengyu Wang, Feng Zhang, Chenshu Wu, Beibei Wang, K. J. Ray Liu:
ViMo: Vital Sign Monitoring Using Commodity Millimeter Wave Radio. 8304-8308 - Sai Deepika Regani, Beibei Wang, Min Wu, K. J. Ray Liu:
Time Reversal Based Robust Gesture Recognition Using Wifi. 8309-8313 - Donatella Darsena:
Noncoherent Maximum-Likelihood Detection for Ambient Backscattering Communications Over Ambient OFDM Signals. 8314-8318 - Jialin Dong, Jun Zhang, Yuanming Shi:
Bandit Sampling for Faster Activity and Data Detection in Massive Random Access. 8319-8323 - Hui Chen, Hao Yu, Shengjie Zhao, Qingjiang Shi:
Consensus-Based Distributed Clustering for IoT. 8324-8328 - Daniel Bonilla Licea, Edmond Nurellari, Mounir Ghogho:
Energy-Efficient 3D UAV Trajectory Design for Data Collection in Wireless Sensor Networks. 8329-8333 - Yilin Liu, Fengyang Jiang, Mahanth Gowda:
Application Informed Motion Signal Processing for Finger Motion Tracking Using Wearable Sensors. 8334-8338 - Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar:
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices. 8339-8343 - Farshad G. Veshki, Nora Ouzir, Sergiy A. Vorobyov:
Image Fusion using Joint Sparse Representations and Coupled Dictionary Learning. 8344-8348 - Christopher Strohmeier, Deanna Needell:
Clustering of Nonnegative Data and an Application to Matrix Completion. 8349-8353 - Qing Zou, Mathews Jacob:
Sampling of Surfaces and Learning Functions in High Dimensions. 8354-8358 - Divyanshu Daiya, Min-Sheng Wu, Che Lin:
Stock Movement Prediction That Integrates Heterogeneous Data Sources Using Dilated Causal Convolution Networks with Attention. 8359-8363 - Qingqing Huang, Aren Jansen, Li Zhang, Daniel P. W. Ellis, Rif A. Saurous, John R. Anderson:
Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. 8364-8368 - Faezeh Fallah, Bin Yang:
Supervised Canonical Correlation Analysis of Data on Symmetric Positive Definite Manifolds by Riemannian Dimensionality Reduction. 8369-8373 - Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The Empirical Duality Gap of Constrained Statistical Learning. 8374-8378 - Hagai Aronowitz, Weizhong Zhu:
Context and Uncertainty Modeling for Online Speaker Change Detection. 8379-8383 - Kusha Sridhar, Carlos Busso:
Modeling Uncertainty in Predicting Emotional Attributes from Spontaneous Speech. 8384-8388 - Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu:
Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. 8389-8393 - Herbert Gish, Jan Silovský, Man-Ling Sung, Man-Hung Siu, William Hartmann, Zhuolin Jiang:
Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data. 8394-8398 - Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
On Network Science and Mutual Information for Explaining Deep Neural Networks. 8399-8403 - Hayato Ito, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari:
Spatial Active Noise Control Based on Kernel Interpolation with Directional Weighting. 8404-8408 - Jihui Zhang, Huiyuan Sun, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
Active Noise Control Over Multiple Regions: Performance Analysis. 8409-8413 - Yu Maeno, Yuhta Takida, Naoki Murata, Yuki Mitsufuji:
Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting. 8414-8418 - Dong-Yuan Shi, Bhan Lam, Shulin Wen, Woon-Seng Gan:
Multichannel Active Noise Control with Spatial Derivative Constraints to Enlarge the Quiet Zone. 8419-8423 - Qiaoxi Zhu, Xiaojun Qiu, Ian S. Burnett:
An Acoustic Modelling Based Remote Error Sensing Approach for Quiet Zone Generation in a Noisy Environment. 8424-8428 - Yuchen Dong, Jie Chen, Wen Zhang:
Distributed Wave-Domain Active Noise Control Based on the Diffusion Strategy. 8429-8433 - Rui Zhou, Daniel P. Palomar:
A Theoretical Basis for Practitioners Heuristic 1/N and Long-Only Quintile Portfolio. 8434-8438 - Douglas E. Johnston, Petar M. Djuric:
A Recursive Bayesian Solution for the Excess Over Threshold Distribution with Stochastic Parameters. 8439-8443 - Taco de Wolff, Alejandro Cuevas, Felipe A. Tobar:
Gaussian Process Imputation of Multiple Financial Series. 8444-8448 - Emmanuelle Jay, Thibault Soler, Jean Philippe Ovarlez, Philippe de Peretti, Christophe Chorro:
Robust Covariance Matrix Estimation and Portfolio Allocation: The Case of Non-Homogeneous Assets. 8449-8453 - Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. 8454-8458 - Gautier Marti:
CORRGAN: Sampling Realistic Financial Correlation Matrices Using Generative Adversarial Networks. 8459-8463 - Weng-Tai Su, Gene Cheung, Richard Wildes, Chia-Wen Lin:
Graph Neural Net Using Analytical Graph Filters and Topology Optimization for Image Denoising. 8464-8468 - Vassilis N. Ioannidis, Georgios B. Giannakis:
Defending Graph Convolutional Networks Against Adversarial Attacks. 8469-8473 - Abdullah Karaaslanli, Selin Aviyente:
Constrained Spectral Clustering for Dynamic Community Detection. 8474-8478 - Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin:
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. 8479-8483 - Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega:
Deep Geometric Knowledge Distillation with Graphs. 8484-8488 - Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On The Choice of Graph Neural Network Architectures. 8489-8493 - Jakob Poncelet, Hugo Van hamme:
Multitask Learning with Capsule Networks for Speech-to-Intent Applications. 8494-8498 - Loren Lugosch, Brett H. Meyer, Derek Nowrouzezahrai, Mirco Ravanelli:
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models. 8499-8503 - Ryan Price, Mahnoosh Mehrabani, Srinivas Bangalore:
Improved End-To-End Spoken Utterance Classification with a Self-Attention Acoustic Classifier. 8504-8508 - Natalia A. Tomashenko, Christian Raymond, Antoine Caubrière, Renato De Mori, Yannick Estève:
Dialogue History Integration into End-to-End Signal-to-Concept Spoken Language Understanding Systems. 8509-8513 - Antoine Caubrière, Sahar Ghannay, Natalia A. Tomashenko, Renato De Mori, Antoine Laurent, Emmanuel Morin, Yannick Estève:
Error Analysis Applied to End-to-End Spoken Language Understanding. 8514-8518 - Marco Dinarelli, Nikita Kapoor, Bassam Jabaian, Laurent Besacier:
A Data Efficient End-to-End Spoken Language Understanding Architecture. 8519-8523 - Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence. 8524-8528 - Iulia M. Comsa, Thomas Fischbacher, Krzysztof Potempa, Andrea Gesmundo, Luca Versari, Jyrki Alakuijala:
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function. 8529-8533 - Peter Blouw, Chris Eliasmith:
Event-Driven Signal Processing with Neuromorphic Computing Systems. 8534-8538 - Maria G. Martini, Nabeel Khan, Yin Bi, Yiannis Andreopoulos, Hadi Saki, Mohammad Shikh-Bahaei:
Challenges and Perspectives in Neuromorphic-based Visual IoT Systems and Networks. 8539-8543 - Flavio Martinelli, Giorgia Dellaferrera, Pablo Mainar, Milos Cernak:
Spiking Neural Networks Trained With Backpropagation for Low Power Neuromorphic Implementation of Voice Activity Detection. 8544-8548 - Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. 8549-8553 - Wei Cui, Kaiming Shen, Wei Yu:
Deep Learning for Robust Power Control for Wireless Networks. 8554-8558 - Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath:
Feedback Turbo Autoencoder. 8559-8563 - Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. 8565-8568 - Nitin Jonathan Myers, Yuyang Wang, Nuria González Prelcic, Robert W. Heath Jr.:
Deep Learning-Based Beam Alignment in Mmwave Vehicular Networks. 8569-8573 - Johannes Dommel, Zoran Utkovski, Slawomir Stanczak, Osvaldo Simeone:
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT. 8574-8578 - Mahdi Boloursaz Mashhadi, Qianqian Yang, Deniz Gündüz:
CNN-Based Analog CSI Feedback in FDD MIMO-OFDM Systems. 8579-8583 - Thomas Sanchez, Baran Gözcü, Ruud B. van Heeswijk, Armin Eftekhari, Efe Ilicak, Tolga Çukur, Volkan Cevher:
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI. 8584-8588 - Stefan Vlaski, Ali H. Sayed:
Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization. 8589-8593 - Brian Swenson, Anirudh Sridhar, H. Vincent Poor:
On Distributed Stochastic Gradient Algorithms for Global Optimization. 8594-8598 - Claudio Battiloro, Paolo Di Lorenzo:
Distributed Tensor Completion Over Networks. 8599-8603 - Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
Lookahead Converges to Stationary Points of Smooth Non-convex Functions. 8604-8608 - James Zachary Hare, César A. Uribe, Lance M. Kaplan, Ali Jadbabaie:
Communication Constrained Learning with Uncertain Models. 8609-8613 - Shunqiao Sun, Athina P. Petropulu:
A Sparse Linear Array Approach in Automotive Radars Using Matrix Completion. 8614-8618 - Preeti Kumari, Amine Mezghani, Robert W. Heath Jr.:
A Low-Resolution ADC Proof-of-Concept Development for a Fully-Digital Millimeter-wave Joint Communication-Radar. 8619-8623 - Guohua Wang, Kumar Vijay Mishra:
Performance Bounds for Displaced Sensor Automotive Radar Imaging. 8624-8628 - Ali Erdem Ertan, Murtaza Ali:
Spatial and Temporal Smoothing for Covariance Estimation in Super-Resolution Angle Estimation in Automotive Radars. 8629-8633 - Pu Wang, Petros Boufounos, Hassan Mansour, Philip V. Orlik:
Slow-Time MIMO-FMCW Automotive Radar Detection with Imperfect Waveform Separation. 8634-8638 - Ronghao Lin, Jian Li:
On Binary Sequence Set Design with Applications to Automotive Radar. 8639-8643 - Byeongsu Sim, Gyutaek Oh, Jong Chul Ye:
Optimal Transport Structure of CycleGAN for Unsupervised Learning for Inverse Problems. 8644-8647 - Zhengyu Huang, Jeffrey A. Fessler, Theodore B. Norris, Il Yong Chun:
Light-Field Reconstruction and Depth Estimation from Focal Stack Images Using Convolutional Neural Networks. 8648-8652 - Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. 8653-8657 - Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Building Firmly Nonexpansive Convolutional Neural Networks. 8658-8662 - Praveen Kumar Pokala, Prakash Kumar Uttam, Chandra Sekhar Seelamantula:
Confirmnet: Convolutional Firmnet and Application to Image Denoising and Inpainting. 8663-8667 - Jie Pu, Yannis Panagakis, Maja Pantic:
Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization. 8668-8672 - Sha Hu, Fredrik Rusek:
Spherical Large Intelligent Surfaces. 8673-8677 - Ron Levie, Çagkan Yapar, Gitta Kutyniok, Giuseppe Caire:
Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. 8678-8682 - Shuai Nie, Ian F. Akyildiz:
Beamforming in Intelligent Environments based on Ultra-Massive MIMO Platforms in Millimeter Wave and Terahertz Bands. 8683-8687 - Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Antonia M. Tulino, Georg Fischer, Robert Schober:
A Single-RF Architecture for Multiuser Massive MIMO Via Reflecting Surfaces. 8688-8692 - Saba Asaad, Rafael F. Schaefer, H. Vincent Poor:
Hybrid Precoding for Secure Transmission in Reflect-Array-Assisted Massive MIMO Systems. 8693-8697 - George C. Alexandropoulos, Evangelos Vlachos, John S. Thompson:
Wideband Channel Tracking for Millimeter Wave Massive Mimo Systems with Hybrid Beamforming Reception. 8698-8702 - Ali Aroudi, Tobias de Taillez, Simon Doclo:
Improving Auditory Attention Decoding Performance of Linear and Non-Linear Methods using State-Space Model. 8703-8707 - Waldo Nogueira, Hanna Dolhopiatenko:
Towards Decoding Selective Attention from Single-Trial EEG Data in Cochlear Implant users based on Deep Neural Networks. 8708-8712 - Benjamin Lentz, Anil M. Nagathil, Johannes Gauer, Rainer Martin:
Harmonic/Percussive Sound Separation and Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners. 8713-8717 - Ashwin Bellur, Mounya Elhilali:
Bio-Mimetic Attentional Feedback in Music Source Separation. 8718-8722 - Masood Delfarah, Yuzhou Liu, DeLiang Wang:
Talker-Independent Speaker Separation in Reverberant Conditions. 8723-8727 - Wenqiang Pu, Peng Zan, Jinjun Xiao, Tao Zhang, Zhi-Quan Luo:
Evaluation of Joint Auditory Attention Decoding and Adaptive Binaural Beamforming Approach for Hearing Devices with Attention Switching. 8728-8732 - Ezra Tampubolon, Holger Boche:
Robust Pricing Mechanism for Resource Sustainability Under Privacy Constraint in Competitive Online Learning Multi-Agent Systems. 8733-8737 - Karl-Ludwig Besser, Andrew Lonnstrom, Eduard A. Jorswieck:
Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels. 8738-8742 - Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek, H. Vincent Poor:
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks. 8743-8747 - Thomas Marchioro, Nicola Laurenti, Deniz Gündüz:
Adversarial Networks for Secure Wireless Communications. 8748-8752 - Xiongwei Wu, Qiang Li, Yawei Lu, H. Vincent Poor, Victor C. M. Leung, P. C. Ching:
Latency-Minimized Design of secure transmissions in UAV-Aided Communications. 8753-8757 - Gangqiang Li, Sissi Xiaoxiao Wu, Shengli Zhang, Qiang Li:
Detect Insider Attacks Using CNN in Decentralized Optimization. 8758-8762 - Khalil Elkhalil, Abla Kammoun, Xiangliang Zhang, Mohamed-Slim Alouini, Tareq Y. Al-Naffouri:
Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. 8763-8767 - Arup Bose, Walid Hachem:
A Whiteness Test Based on the Spectral Measure of Large Non-Hermitian Random Matrices. 8768-8771 - Daria Tieplova, Philippe Loubaton, Leonid Pastur:
On the Limit Distribution of the Canonical Correlation Coefficients Between the Past and the Future of a High-Dimensional White Noise. 8772-8776 - Pierre Bizeul, Maxime Clenet, Jamal Najim:
Positive Solutions for Large Random Linear Systems. 8777-8781 - Alexis Rosuel, Pascal Vallet, Philippe Loubaton, Xavier Mestre:
On The Frequency Domain Detection of High Dimensional Time Series. 8782-8786 - Malik Tiomoko, Cosme Louart, Romain Couillet:
Large Dimensional Asymptotics of Multi-Task Learning. 8787-8791 - Zhi Lin, Min Lin, Benoît Champagne, Wei-Ping Zhu, Naofal Al-Dhahir:
Robust Hybrid Beamforming for Satellite-Terrestrial Integrated Networks. 8792-8796 - Navneet Garg, Mathini Sellathurai, Tharmalingam Ratnarajah:
In-Network Caching for Hybrid Satellite-Terrestrial Networks Using Deep Reinforcement Learning. 8797-8801 - Miguel Ángel Vázquez, Ana I. Pérez-Neira:
Multigraph Spectral Clustering for Joint Content Delivery and Scheduling in Beam-Free Satellite Communications. 8802-8806 - Christos G. Tsinos, Aakash Arora, Björn E. Ottersten:
Constant-Envelope Precoding for Satellite Systems. 8807-8811 - Tomás Ramírez, Carlos Mosquera:
Resource Management in the Multibeam NOMA-based Satellite Downlink. 8812-8816 - Xiaojuan Yan, Kang An, Cheng-Xiang Wang, Wei-Ping Zhu, Yusheng Li, Zhiqiang Feng:
Genetic Algorithm Optimized Support Vector Machine in NOMA-based Satellite Networks with Imperfect CSI. 8817-8821 - Shubham Chandak, Joachim Neu, Kedar Tatwawadi, Jay Mardia, Billy Lau, Matthew Kubit, Reyna Hulett, Peter Griffin, Mary Wootters, Tsachy Weissman, Hanlee Ji:
Overcoming High Nanopore Basecaller Error Rates for DNA Storage via Basecaller-Decoder Integration and Convolutional Codes. 8822-8826 - Kui Cai, Xuan He, Han Mao Kiah, Tuan Thanh Nguyen:
Efficient Constrained Encoders Correcting a Single Nucleotide Edit in DNA Storage. 8827-8830 - Chao Pan, S. M. Hossein Tabatabaei Yazdi, S. Kasra Tabatabaei, Alvaro G. Hernandez, Charles Schroeder, Olgica Milenkovic:
Image Processing in DNA. 8831-8835 - Tonglin Chen, Marc D. Riedel:
Concentration-Based Polynomial Calculations on Nicked DNA. 8836-8840 - Seiyun Shin, Reinhard Heckel, Ilan Shomorony:
Capacity of the Erasure Shuffling Channel. 8841-8845 - Andreas Lenz, Paul H. Siegel, Antonia Wachter-Zeh, Eitan Yaakobi:
Achieving the Capacity of the DNA Storage Channel. 8846-8850 - Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
Federated Learning with Quantization Constraints. 8851-8855 - Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang:
Cooperative Learning VIA Federated Distillation OVER Fading Channels. 8856-8860 - Felix Sattler, Klaus-Robert Müller, Thomas Wiegand, Wojciech Samek:
On the Byzantine Robustness of Clustered Federated Learning. 8861-8865 - Mehdi Salehi Heydar Abad, Emre Ozfatura, Deniz Gündüz, Özgür Erçetin:
Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks. 8866-8870 - Jianyu Wang, Hao Liang, Gauri Joshi:
Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD. 8871-8875 - Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. 8876-8880 - Nir Shlezinger, Rong Fu, Yonina C. Eldar:
Deep Soft Interference Cancellation for MIMO Detection. 8881-8885 - Alex Dytso, H. Vincent Poor:
An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets. 8886-8890 - Tiantong Guo, Vishal Monga:
Reinforced Depth-Aware Deep Learning for Single Image Dehazing. 8891-8895 - Abdullah H. Al-Shabili, Hassan Mansour, Petros T. Boufounos:
Learning Plug-And-Play Proximal Quasi-Newton Denoisers. 8896-8900 - Hemant Kumar Aggarwal, Mathews Jacob:
Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI. 8901-8905 - Iris A. M. Huijben, Bastiaan S. Veeling, Ruud J. G. van Sloun:
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI. 8906-8910 - Qing Li, Simon J. Godsill, Jiaming Liang, Bashar I. Ahmad:
Inferring Dynamic Group Leadership Using Sequential Bayesian Methods. 8911-8915 - Florian Meyer, Jason L. Williams:
Scalable Detection and Tracking of Extended Objects. 8916-8920 - Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. 8921-8925 - Georgios Rovatsos, Venugopal V. Veeravalli, Don Towsley, Ananthram Swami:
Quickest Detection of Growing Dynamic Anomalies in Networks. 8926-8930 - Jiawei Yan, Federico Angelini, Syed Mohsen Naqvi:
Image Segmentation Based Privacy-Preserving Human Action Recognition for Anomaly Detection. 8931-8935 - Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Prediction oof Vessel Trajectories From AIS Data Via Sequence-To-Sequence Recurrent Neural Networks. 8936-8940 - Ang Li, Fan Liu, Christos Masouros, Yonghui Li, Branka Vucetic:
Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding Via Partial Branch-and-Bound. 8941-8945 - Qian Xu, Pinyi Ren, A. Lee Swindlehurst:
Secure Symbol-Level Miso Precoding. 8946-8950 - Foad Sohrabi, Hei Victor Cheng, Wei Yu:
Robust Symbol-Level Precoding Via Autoencoder-Based Deep Learning. 8951-8955 - Stavros G. Domouchtsidis, Christos G. Tsinos, Symeon Chatzinotas, Björn E. Ottersten:
Constant Envelope Massive MIMO-OFDM Precoding: an Improved Formulation and Solution. 8956-8960 - Deepak Mishra, Erik G. Larsson:
Passive Intelligent Surface Assisted MIMO Powered Sustainable IoT. 8961-8965 - Mingjie Shao, Wing-Kin Ma, A. Lee Swindlehurst:
Multiuser Massive Mimo Downlink Precoding Using Second-Order Spatial Sigma-Delta Modulation. 8966-8970 - Davide Cecchinato, Michele Berno, Flavio Esposito, Michele Rossi:
Allocation of Computing Tasks In Distributed MEC Servers Co-Powered By Renewable Sources And The Power Grid. 8971-8975 - Mohamed Sana, Antonio De Domenico, Emilio Calvanese Strinati, Antonio Clemente:
Multi-Agent Deep Reinforcement Learning For Distributed Handover Management In Dense MmWave Networks. 8976-8980 - Xiaomin Chang, Wei Li, Jin Ma, Ting Yang, Albert Y. Zomaya:
Interpretable Machine Learning In Sustainable Edge Computing: A Case Study of Short-Term Photovoltaic Power Output Prediction. 8981-8985 - Maurizio Floridia, Demetrio Laganà, Carlo Mastroianni, Michela Meo, Daniela Renga:
Load Management with Predictions of Solar Energy Production for Cloud Data Centers. 8986-8990 - Xiaoyang Li, Guangxu Zhu, Kaiming Shen, Yi Gong, Kaibin Huang:
Spectrum Allocation in Wireless Networks for Crowd Labelling. 8991-8995 - Nicola Piovesan, Marco Miozzo, Paolo Dini:
Modeling the Environment in Deep Reinforcement Learning: The Case of Energy Harvesting Base Stations. 8996-9000 - Xi Shen, Defeng David Huang, Claire Vincent, Wenxiao Wang, Roberto Togneri:
A Differential Approach for Rain Field Tomographic Reconstruction Using Microwave Signals from Leo Satellites. 9001-9005 - Hai Victor Habi, Hagit Messer:
Uncertainties in Short Commercial Microwave Links Fading Due to Rain. 9006-9010 - Filippo Giannetti, Marco Moretti, Ruggero Reggiannini, Attilio Vaccaro, Simone Scarfone, Alberto Ortolani:
On the Opportunistic use of Commercial Ku and Ka Band Satcom Networks for Rain Rate Estimation: Potentials and Critical Issues. 9011-9015 - Boming Song, Defeng David Huang, Xi Shen, Roberto Togneri:
Performance Analysis for Path Attenuation Estimation of Microwave Signals Due to Rainfall and Beyond. 9016-9020 - Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn E. Ottersten:
Deep Rainrate Estimation from Highly Attenuated Downlink Signals of Ground-Based Communications Satellite Terminals. 9021-9025 - Jonatan Ostrometzky, Hagit Messer:
Statistical Signal Processing Approach for Rain Estimation Based on Measurements from Network Management Systems. 9026-9030 - Zhichao Shao, Lukas T. N. Landau, Rodrigo C. de Lamare:
Dynamic Oversampling in 1-Bit Quantized Asynchronous Large-Scale Multiple-Antenna Systems for Sustainable Iot Networks. 9031-9035 - Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. 9036-9040 - Raksha Ramakrishna, Nurullah Karakoç, Kari Hreinsson, Anna Scaglione:
Federating Solar, Storage and Communications in the Electric Grid and Internet of things. 9041-9045 - Parvin Malekzadeh, Shervin Mehryar, Petros Spachos, Konstantinos N. Plataniotis, Arash Mohammadi:
Non-Gaussian BLE-Based Indoor Localization Via Gaussian Sum Filtering Coupled with Wasserstein Distance. 9046-9050 - George Sklivanitis, Konstantinos Tountas, Nicholas Tsagkarakis, Dimitris A. Pados, Stella N. Batalama:
Optimal Joint Channel Estimation and Data Detection by L1-norm PCA for Streetscape IoT. 9051-9054 - Abeer Ahmad, Yuanfei Huang, Xiao Sha, Akshay Athalye, Milutin Stanacevic, Samir R. Das, Petar M. Djuric:
On Measuring Doppler Shifts between Tags in a Backscattering Tag-to-Tag Network with Applications in Tracking. 9055-9059 - Efe Onaran, Soledad Villar:
Efficient Belief Propagation for Graph Matching. 9060-9064 - Yang Li, Rasoul Shafipour, Gonzalo Mateos, Zhengwu Zhang:
Supervised Graph Representation Learning for Modeling the Relationship between Structural and Functional Brain Connectivity. 9065-9069 - Fernando Gama, Alejandro Ribeiro, Joan Bruna:
Stability of Graph Neural Networks to Relative Perturbations. 9070-9074 - Bishwadeep Das, Elvin Isufi, Geert Leus:
Active Semi-Supervised Learning for Diffusions on Graphs. 9075-9079 - Zhan Gao, Elvin Isufi, Alejandro Ribeiro:
Stochastic Graph Neural Networks. 9080-9084 - Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques:
Generative Adversarial Networks for Graph Data Imputation from Signed Observations. 9085-9089 - Serdar Sahin, Antonio Maria Cipriano, Charly Poulliat, Marie-Laure Boucheret:
Joint Frequency Domain Channel Estimation and Equalization Based on Expectation Propagation for Single Carrier Transmissions. 9090-9094 - Christo Kurisummoottil Thomas, Dirk T. M. Slock:
BP-VB-EP Based Static and Dynamic Sparse Bayesian Learning with Kronecker Structured Dictionaries. 9095-9099 - Rohan R. Pote, Bhaskar D. Rao:
Robustness of Sparse Bayesian Learning in Correlated Environments. 9100-9104 - Philip Schniter:
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation. 9105-9109 - Robert F. H. Fischer, Carmen Sippel, Norbert Goertz:
VAMP with Vector-Valued Diagonalization. 9110-9114 - Bin Li, Nan Wu, Yik-Chung Wu:
Distributed Verification of Belief Precisions Convergence in Gaussian Belief Propagation. 9115-9119 - Özlem Tugfe Demir, Emil Björnson:
ADMM-Based One-Bit Quantized Signal Detection for Massive MIMO Systems With Hardware Impairments. 9120-9124 - Nir Shlezinger, Ruud J. G. van Sloun, Iris A. M. Huijben, Georgee Tsintsadze, Yonina C. Eldar:
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers. 9125-9129 - Chun-Lin Liu, P. P. Vaidyanathan:
One-Bit Normalized Scatter Matrix Estimation For Complex Elliptically Symmetric Distributions. 9130-9134 - Saeid Sedighi, Bhavani Shankar, Mojtaba Soltanalian, Björn E. Ottersten:
One-Bit DoA Estimation via Sparse Linear Arrays. 9135-9139 - Ayush Bhandari, Olga Graf, Felix Krahmer, Ahmed I. Zayed:
One-Bit Sampling in Fractional Fourier Domain. 9140-9144 - Heng Zhu, Xiaolei Shang, Jian Li:
Target Parameter Estimation via One-Bit PMCW Radar. 9145-9149 - Christos Liaskos, Shuai Nie, Ageliki Tsioliaridou, Andreas Pitsillides, Sotiris Ioannidis, Ian F. Akyildiz:
Mobility-Aware Beam Steering in Metasurface-Based Programmable Wireless Environments. 9150-9154 - Hanqing Wang, Nir Shlezinger, Shi Jin, Yonina C. Eldar, Insang Yoo, Mohammadreza F. Imani, David R. Smith:
Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers. 9155-9159 - Özgecan Özdogan, Emil Björnson, Erik G. Larsson:
Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications. 9160-9164 - Deepak Mishra, Jinhong Yuan:
Optimizing Backscattering Coefficient Design for Minimizing BER at Monostatic MIMO reader. 9165-9169 - Harsh Tataria, Fredrik Tufvesson, Ove Edfors:
Real-Time Implementation Aspects of Large Intelligent Surfaces. 9170-9174 - George C. Alexandropoulos, Evangelos Vlachos:
A Hardware Architecture For Reconfigurable Intelligent Surfaces with Minimal Active Elements for Explicit Channel Estimation. 9175-9179 - Jindrich Duník, Ondrej Straka, Jakub Matousek:
Conditional Density Driven Grid Design in Point-Mass Filter. 9180-9184 - Mahdi Maaref, Joe Khalife, Zaher M. Kassas:
Enhanced Safety of Autonomous Driving by Incorporating Terrestrial Signals of Opportunity. 9185-9189 - Fabio Dovis, Rayan Imam, Wenjian Qin, Caner Savas, Hans Visser:
Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing. 9190-9194 - Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra:
An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel. 9195-9199 - Daniel M. LaChapelle, Todd E. Humphreys, Lakshay Narula, Peter Iannucci, Ehsan Moradi-Pari:
Automotive Collision Risk Estimation Under Cooperative Sensing. 9200-9204 - José A. del Peral-Rosado, Fredrik Gunnarsson, Satyam Dwivedi, Sara Modarres Razavi, Olivier Renaudin, José A. Lopez-Salcedo, Gonzalo Seco-Granados:
Exploitation of 3D City Maps for Hybrid 5G RTT and GNSS Positioning Simulations. 9205-9209 - Dolly Agarwal, Jayant Gupchup, Nishant Baghel:
A Dataset for Measuring Reading Levels In India At Scale. 9210-9214 - Brian Zylich, Jacob Whitehill:
Noise-Robust Key-Phrase Detectors for Automated Classroom Feedback. 9215-9219 - Carl-Gustaf Jansson, Rajeev Thottappillil, Stefan Hillmann, Sebastian Möller, K. V. S. Hari, Rajesh Sundaresan:
Experiments in Creating Online Course Content for Signal Processing Education. 9220-9223 - Nikhar P. Rakhashia, Ankit A. Bhurane, Vikram M. Gadre:
Teaching Signals and Systems - A First Course in Signal Processing. 9224-9228 - Eliathamby Ambikairajah, Vidhyasaharan Sethu:
Cochlear Signal Processing: A Platform for Learning the Fundamentals of Digital Signal Processing. 9229-9233 - Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Multimodal Learning for Classroom Activity Detection. 9234-9238 - Huaijin Deng, Youchao Lin, Takehito Utsuro, Akio Kobayashi, Hiromitsu Nishizaki, Junichi Hoshino:
Automatic Fluency Evaluation of Spontaneous Speech Using Disfluency-Based Features. 9239-9243 - Rui Zheng, Fei Jiang, Ruimin Shen:
Intelligent Student Behavior Analysis System for Real Classrooms. 9244-9248 - Yucheng Zheng, Rongjia Zhang, M. Salman Asif:
Coded Illumination and Multiplexing for Lensless Imaging. 9250-9253 - Alon Mamistvalov, Yonina C. Eldar:
Sparse Convolutional Beamforming for Wireless Ultrasound. 9254-9258 - Majed El Helou, Ruofan Zhou, Frank Schmutz, Fabrice Guibert, Sabine Süsstrunk:
Divergence-Based Adaptive Extreme Video Completion. 9259-9263 - Karen Adam, Adam Scholefield, Martin Vetterli:
Encoding and Decoding Mixed Bandlimited Signals Using Spiking Integrate-and-Fire Neurons. 9264-9268 - Ibón Guillén, Xiaochun Liu, Andreas Velten, Diego Gutierrez, Adrián Jarabo:
On the Effect of Reflectance on Phasor Field Non-Line-of-Sight Imaging. 9269-9273 - Alankar Kowtal, Avilash K. Cramer, Dufan Wu, Kai Yang, Wolfgang Krull, Ioannis Gkioulekas, Rajiv Gupta:
Signal Sensing and Reconstruction Paradigms for a Novel Multi-Source Static Computed Tomography System. 9274-9278 - Roxana Alexandru, Nguyen T. Thao, Dominik Rzepka, Pier Luigi Dragotti:
Sampling Classes of Non-Bandlimited Signals Using Integrate-and-Fire Devices: Average Case Analysis. 9279-9283 - Amey Chaware, Colin L. V. Cooke, Kanghyun Kim, Roarke Horstmeyer:
Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. 9284-9288 - Gauri Jagatap, Chinmay Hegde:
High Dynamic Range Imaging Using Deep Image Priors. 9289-9293 - Ruben Ohana, Jonas Wacker, Jonathan Dong, Sébastien Marmin, Florent Krzakala, Maurizio Filippone, Laurent Daudet:
Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units. 9294-9298 - Charles Saunders, Rishabh Bose, John Murray-Bruce, Vivek K. Goyal:
Multi-Depth Computational Periscopy with an Ordinary Camera. 9299-9305 - Heng Qiao, Sina Shahsavari, Piya Pal:
Super-Resolution with Noisy Measurements: Reconciling Upper and Lower Bounds. 9304-9308 - J. H. Moon, Debasmit Das, C. S. George Lee:
Multi-Step Online Unsupervised Domain Adaptation. 41172-41576
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