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ORCIDCoRR, April 2022
- Gabriel Van Zandycke, Christophe De Vleeschouwer:
Ball 3D Localization From A Single Calibrated Image.
- Yanran Chen, Jonas Belouadi, Steffen Eger:
Reproducibility Issues for BERT-based Evaluation Metrics. - Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi:
Graph-based Active Learning for Semi-supervised Classification of SAR Data. - Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Data Sampling Affects the Complexity of Online SGD over Dependent Data. - Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu:
Improving Adversarial Transferability via Neuron Attribution-Based Attacks. - Davide Di Ruscio, Paola Inverardi, Patrizio Migliarini, Phuong T. Nguyen:
Leveraging Privacy Profiles to Empower Users in the Digital Society. - Florian Tramèr
, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini:
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. - Patrik Keller, Rainer Böhme:
Parallel Proof-of-Work with Concrete Bounds. - Yujie Lu, Jianren Wang, Vikash Kumar:
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. - Parvin Malekzadeh, Mohammad Salimibeni, Ming Hou, Arash Mohammadi, Konstantinos N. Plataniotis:
AKF-SR: Adaptive Kalman Filtering-based Successor Representation. - Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg:
Leakage Localization in Water Distribution Networks: A Model-Based Approach. - Sergio Correia, Stephan Luck:
Digitizing Historical Balance Sheet Data: A Practitioner's Guide. - Harshvardhan P. Joshi, Mihail L. Sichitiu, Maria Kihl:
Distributed Robust Geocast Multicast Routing for Inter-Vehicle Communication. - Ceyhun Onur, Arda Yurdakul:
ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable Ranked-Choice Voting Protocol. - Luke Snow, Shashwat Jain, Vikram Krishnamurthy:
Lyapunov based Stochastic Stability of Human-Machine Interaction: A Quantum Decision System Approach. - Marcel de Korte, Jaebok Kim, Aki Kunikoshi, Adaeze Adigwe, Esther Klabbers:
Data-augmented cross-lingual synthesis in a teacher-student framework. - Bing Zhang, Yuya Jeremy Ong, Taiga Nakamura:
SimPO: Simultaneous Prediction and Optimization. - Shriram Srinivasan, Kaarthik Sundar, Vitaliy Gyrya, Anatoly Zlotnik:
Numerical Solution of the Steady-State Network Flow Equations for a Non-Ideal Gas. - Shirantha Welikala, Hai Lin, Panos J. Antsaklis:
On-line Estimation of Stability and Passivity Metrics. - Nico Naus, Freek Verbeek, Marc Schoolderman, Binoy Ravindran:
Reachability Logic for Low-Level Programs. - Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. - Varun Aggarwal, Aanis Ahmad, Aaron Etienne, Dharmendra Saraswat:
4Weed Dataset: Annotated Imagery Weeds Dataset. - Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins:
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. - Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. - Jean Rouat, Ramin Pichevar, Stéphane Loiselle:
Perceptive, non-linear Speech Processing and Spiking Neural Networks. - Sijie Zhu, Mubarak Shah, Chen Chen:
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. - Jean-Mathieu Teissier, Wolf-Christian Müller:
Higher-order magnetohydrodynamic numerics. - Zihui Xue, Radu Marculescu:
Dynamic Multimodal Fusion. - Walter Zimmer, Emec Ercelik, Xingcheng Zhou, Xavier Jair Diaz Ortiz, Alois C. Knoll:
A Survey of Robust 3D Object Detection Methods in Point Clouds. - Nikitha Rao, Jason Tsay, Martin Hirzel, Vincent J. Hellendoorn:
Comments on Comments: Where Code Review and Documentation Meet. - Yiming Lin, Sharad Mehrotra:
QUIP: Query-driven Missing Value Imputation. - Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
Does This Apply to Me? An Empirical Study of Technical Context in Stack Overflow. - Shahadat H. Sohel, Ramchandra Kotecha, Imran S. Khan, Karen N. Heinselman, Sreekant Narumanchi, M. Brooks Tellekamp, Andriy Zakutayev:
Gallium Oxide Heterojunction Diodes for Improved High-Temperature Performance. - Leszek Pecyna, Siyuan Dong, Shan Luo:
Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning. - Petr Slovák, Alissa Nicole Antle, Nikki Theofanopoulou, Claudia Daudén Roquet, James J. Gross, Katherine Isbister:
Designing for emotion regulation interventions: an agenda for HCI theory and research. - Subhankar Banerjee, Chung Shue Chen, Marceau Coupechoux, Abhishek Sinha:
Joint Power and Subcarrier Allocation in Multi-Cell Multi-Carrier NOMA. - Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Daniel Cascado Caballero, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
An MPSoC-based on-line Edge Infrastructure for Embedded Neuromorphic Robotic Controllers. - Neelay Junnarkar, He Yin, Fangda Gu, Murat Arcak, Peter J. Seiler:
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers. - Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen:
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing. - Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. - Walter Zimmer, Marcus Grabler, Alois C. Knoll:
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation. - Wei Yang, Balakumar Sundaralingam, Chris Paxton, Iretiayo Akinola, Yu-Wei Chao, Maya Cakmak, Dieter Fox:
Model Predictive Control for Fluid Human-to-Robot Handovers. - Armin Norouzi, Saeid Shahpouri, David Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, Charles Robert Koch:
Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study. - Brian Andersen, Gregory Delipei, David Kropaczek, Jason Hou:
MOF: A Modular Framework for Rapid Application of Optimization Methodologies to General Engineering Design Problems. - Armin Norouzi, Saeid Shahpouri, David Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, Charles Robert Koch:
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines. - Ayesha S. Dina, A. B. Siddique, D. Manivannan:
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks. - Young-Ho Kim, Diana Chou, Bongshin Lee, Margaret K. Danilovich, Amanda Lazar, David E. Conroy, Hernisa Kacorri, Eun Kyoung Choe:
MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech. - Akhil Meethal, Marco Pedersoli, Zhongwen Zhu, Francisco Perdigon Romero, Eric Granger:
Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes. - Xu Zhang, Marcos M. Vasconcelos:
Robust remote estimation over the collision channel in the presence of an intelligent jammer. - Noel Csomay-Shanklin, Andrew J. Taylor, Ugo Rosolia, Aaron D. Ames:
Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions. - Jia Liu, Wenjie Xuan, Yuhang Gan, Juhua Liu, Bo Du:
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection. - Isabella Ferreira, Bram Adams, Jinghui Cheng:
How heated is it? Understanding GitHub locked issues. - Qi Zhang, Xin Huang, Ying Feng, Xue Wang, Hongdong Li, Qing Wang:
Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis. - Zhixiang Min, Naji Khosravan, Zachary Bessinger, Manjunath Narayana, Sing Bing Kang, Enrique Dunn, Ivaylo Boyadzhiev:
LASER: LAtent SpacE Rendering for 2D Visual Localization. - Suraj Sajeev, Manish Bansal, Sriraam S. V, Jagadeesh Harshan, Huzur Saran, Yih-Chun Hu:
Secure and Ultra-Reliable Provenance Recovery in Sparse Networks: Strategies and Performance Bounds. - Mohammad Keshavarzi, Michael Zollhöfer, Allen Y. Yang, Patrick Peluse, Luisa Caldas:
Mutual Scene Synthesis for Mixed Reality Telepresence. - Chiang-Lin Tai, Hung-Shin Lee, Yu Tsao, Hsin-Min Wang:
Filter-based Discriminative Autoencoders for Children Speech Recognition. - Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. - Robert Ghrist, Hans Riess:
Asynchronous Diffusion of Data on Networked Lattices. - Yue Luo, Xiangcheng Zheng, Xiangle Cheng, Lei Zhang:
Convergence analysis of discrete high-index saddle dynamics. - Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff:
A Unified Framework for Domain Adaptive Pose Estimation. - Yu Nakagome, Tatsuya Komatsu, Yusuke Fujita, Shuta Ichimura, Yusuke Kida:
InterAug: Augmenting Noisy Intermediate Predictions for CTC-based ASR. - Yusuke Fujita, Tatsuya Komatsu, Yusuke Kida:
Multi-sequence Intermediate Conditioning for CTC-based ASR. - Tatsuya Komatsu, Yusuke Fujita, Jaesong Lee, Lukas Lee, Shinji Watanabe, Yusuke Kida:
Better Intermediates Improve CTC Inference. - Wissal Attaoui, Essaid Sabir, Halima Elbiaze, Mohsen Guizani:
VNF and Container Placement: Recent Advances and Future Trends. - Biyang Liu, Huimin Yu, Guodong Qi:
GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature. - Ze Chen, Zhihang Fu, Jianqiang Huang, Mingyuan Tao, Shengyu Li, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua:
Dynamic Supervisor for Cross-dataset Object Detection. - Yulin Zhang, Dylan A. Shell:
Nondeterminism subject to output commitment in combinatorial filters. - Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. - Sachin Shivakumar, Matthew M. Peet:
Computational stability analysis of PDEs with integral terms using the PIE framework. - Alexander Davydov, Saber Jafarpour, Matthew Abate, Francesco Bullo, Samuel Coogan:
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks. - Nilotpal Sinha, Kuan-Wen Chen:
Novelty Driven Evolutionary Neural Architecture Search. - Keitaro Nakasai, Shin Komeda, Masateru Tsunoda, Masayuki Kashima:
Measuring Cognitive Load of Software Developers Based on Nasal Skin Temperature. - Kento Kajiwara, Jue Ma, Toshikazu Seto, Yoshihide Sekimoto, Yoshiki Ogawa, Hiroshi Omata:
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan. - Jinpeng Hu, Zhuo Li, Zhihong Chen, Zhen Li, Xiang Wan, Tsung-Hui Chang:
Graph Enhanced Contrastive Learning for Radiology Findings Summarization. - Huaiqian You, Quinn Zhang, Colton J. Ross, Chung-Hao Lee, Ming-Chen Hsu, Yue Yu:
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements. - Brian Zhu, Jiawei Xu, Andrew Charway, David Saldaña:
PogoDrone: Design, Model, and Control of a Jumping Quadrotor. - Hampei Sasahara, György Dán, Saurabh Amin, Henrik Sandberg:
Green Routing Game: Strategic Logistical Planning using Mixed Fleets of ICEVs and EVs. - Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon:
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. - Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, Alois C. Knoll:
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS. - Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. - Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. - Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. - Shiping Chen, Xinyu Ge:
Reachability Analysis of Linear System. - Leevi Raivio, Esa Rahtu:
Online panoptic 3D reconstruction as a Linear Assignment Problem. - Dianming Hou, Zhonghua Qiao:
An implicit-explicit second order BDF numerical scheme with variable steps for gradient flows. - Jun Kimata, Tomoya Nitta, Toru Tamaki:
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition. - Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi:
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. - Marcos Faúndez-Zanuy:
Adaptive hybrid speech coding with a MLP LPC structure. - Liang Zhang, Yidong Cheng:
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction. - Stefano Zacchiroli:
A Large-scale Dataset of (Open Source) License Text Variants. - Tingting Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu:
Multifaceted Improvements for Conversational Open-Domain Question Answering. - Jianing Zhao, Keyi Zhu, Xiang Yin, Shaoyuan Li:
To Explore or Not to Explore: Regret-Based LTL Planning in Partially-Known Environments. - Congcong Liu, Yuejiang Li, Jian Zhu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao:
Rethinking Position Bias Modeling with Knowledge Distillation for CTR Prediction. - Duy Tung Nguyen, Kathryn Kasmarik, Hussein A. Abbass:
Fusing Interpretable Knowledge of Neural Network Learning Agents For Swarm-Guidance. - Bho Matthiesen, Yijie Mao, Armin Dekorsy, Petar Popovski, Bruno Clerckx:
Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access. - Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding:
Proactively Control Privacy in Recommender Systems. - Tetsuya Sakai, Jin Young Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance. - Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao:
i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems. - David Speck:
Symbolic Search for Optimal Planning with Expressive Extensions. - Renjie Xu, Xinghao Yang, Baodi Liu, Kai Zhang, Weifeng Liu:
Selecting task with optimal transport self-supervised learning for few-shot classification. - Georgios Katsimpras, Georgios Paliouras:
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization. - Rodolfo Zevallos:
Text-To-Speech Data Augmentation for Low Resource Speech Recognition. - Mahdieh Grailoo, Zain Ul Abideen, Mairo Leier, Samuel Pagliarini:
Preventing Distillation-based Attacks on Neural Network IP. - Zhong Fan, Jun Cao, Taskin Jamal, Chris Fogwill, Cephas Samende, Zoe Robinson, Fiona Polack, Mark Ormerod, Sharon George, Adam Peacock, David Healey:
The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero. - Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher:
GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER. - Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides:
Unitail: Detecting, Reading, and Matching in Retail Scene. - Florian Euchner, Christian Senger:
PERIDOT Codes: Replacing Identifiers, Sequence Numbers and Nonces with Permutations. - Stelios Triantafyllou, Adish Singla, Goran Radanovic:
Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes. - Virginia Espinosa-Duro, Marcos Faúndez-Zanuy:
Face identification by means of a neural net classifier. - Guixuan Wen, Kaigui Wu:
Building Decision Forest via Deep Reinforcement Learning. - Siyu Wang, Xiaocong Chen, Lina Yao:
Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. - Qiang Li, Jingjing Wang, Zhaoliang Yao, Yachun Li, Pengju Yang, Jingwei Yan, Chunmao Wang, Shiliang Pu:
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression. - Marcos Faúndez-Zanuy, Adam Slupinski:
Speaker verification in mismatch training and testing conditions. - Yiqi Gu, Michael K. Ng:
Deep neural networks for solving extremely large linear systems. - Rob Glew, Ralph Tröger, Sebastian E. Schmittner:
A solution approach for the anonymous sharing of sensitive supply chain traceability data. - Mona Buisson-Fenet, Lukas Bahr, Florent Di Meglio:
Towards gain tuning for numerical KKL observers. - Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. - Yanan Zhang, Jiaxin Chen, Di Huang:
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection. - Vaishnavi Gujjula, Sivaram Ambikasaran:
A new Directional Algebraic Fast Multipole Method based iterative solver for the Lippmann-Schwinger equation accelerated with HODLR preconditioner.