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ORCIDCVPR 2021: Virtual Event - Workshops
- IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021. Computer Vision Foundation / IEEE 2021, ISBN 978-1-6654-4899-4
Safe Artificial Intelligence for Automated Driving
- Marvin Klingner, Andreas Bär
, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. 1-11 - Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. 12-20 - Anselm Haselhoff, Jan Kronenberger, Fabian Küppers, Jonas Schneider:
Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. 21-28 - Patrick Feifel, Frank Bonarens, Frank Köster:
Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection. 29-37 - Maria Lyssenko, Christoph Gladisch, Christian Heinzemann, Matthias Woehrle, Rudolph Triebel:
From Evaluation to Verification: Towards Task-Oriented Relevance Metrics for Pedestrian Detection in Safety-Critical Domains. 38-45 - Felix Möller, Diego Botache, Denis Huseljic, Florian Heidecker, Maarten Bieshaar, Bernhard Sick:
Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders. 46-55 - Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila:
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. 56-65 - Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele:
Adversarial Robust Model Compression Using In-Train Pruning. 66-75 - Qiuxiao Chen, Pengfei Li, Meng Xu, Xiaojun Qi:
Sparse Activation Maps for Interpreting 3D Object Detection. 76-84 - Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz:
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. 85-92 - Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu:
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. 93-102 - Joanna Jaworek-Korjakowska, Aleksander Kostuch, Pawel Skruch:
SafeSO: Interpretable and Explainable Deep Learning Approach for Seat Occupancy Classification in Vehicle Interior. 103-112 - Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo:
Detecting Anomalies in Semantic Segmentation With Prototypes. 113-121 - Vasu Singh, Siva Kumar Sastry Hari, Timothy Tsai, Mandar Pitale:
Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles. 122-128 - Martin Rabe, Stefan Milz, Patrick Mäder:
Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey. 129-141
New Trends in Image Restoration and Enhancement
- Cheng-Yen Yang, Hung-Min Hsu, Jiarui Cai, Jenq-Neng Hwang:
Long-Tailed Recognition of SAR Aerial View Objects by Cascading and Paralleling Experts. 142-148 - Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Image Deblurring. 149-165 - Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee:
NTIRE 2021 Challenge on Video Super-Resolution. 166-181 - Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen:
HINet: Half Instance Normalization Network for Image Restoration. 182-192 - Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang:
A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning. 193-202 - Minghan Fu, Huan Liu, Yankun Yu, Jun Chen, Keyan Wang:
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing. 203-212 - Yi Xu, Minyi Zhao, Jing Liu, Xinjian Zhang, Longwen Gao, Shuigeng Zhou, Huyang Sun:
Boosting the Performance of Video Compression Artifact Reduction With Reference Frame Proposals and Frequency Domain Information. 213-222 - Haoran Bai, Songsheng Cheng, Jinhui Tang, Jinshan Pan:
Learning a Cascaded Non-Local Residual Network for Super-Resolving Blurry Images. 223-232 - S. M. A. Sharif, Rizwan Ali Naqvi, Mithun Biswas:
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-Bin Image Sensor. 233-242 - Yu Zhu, Bosong Ding, Chenghua Li, Wanli Qian, Fangya Li, Yiheng Yao, Ruipeng Gang, Chunjie Zhang, Jian Cheng:
LTNet: Light Transfer Network for Depth Guided Image Relighting. 243-251 - Yuanzhi Wang, Tao Lu, Yanduo Zhang, Yuntao Wu:
Multi-Scale Self-Calibrated Network for Image Light Source Transfer. 252-259 - Hao-Hsiang Yang, Wei-Ting Chen, Hao-Lun Luo, Sy-Yen Kuo:
Multi-Modal Bifurcated Network for Depth Guided Image Relighting. 260-267 - He Zheng, Xin Li, Fanglong Liu, Lielin Jiang, Qi Zhang, Fu Li, Qingqing Dang, Dongliang He:
Adaptive Spatial-Temporal Fusion of Multi-Objective Networks for Compressed Video Perceptual Enhancement. 268-275 - Hao-Hsiang Yang, Wei-Ting Chen, Sy-Yen Kuo:
S3Net: A Single Stream Structure for Depth Guided Image Relighting. 276-283 - Lorenz K. Müller:
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement. 284-293 - Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. 294-303 - Donghyeon Lee, Chulhee Lee, Taesung Kim:
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image Deblurring. 304-313 - Saikat Dutta, Nisarg A. Shah, Anurag Mittal:
Efficient Space-Time Video Super Resolution Using Low-Resolution Flow and Mask Upsampling. 314-323 - Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang:
Region-Adaptive Deformable Network for Image Quality Assessment. 324-333 - Leonhard Helminger, Michael Bernasconi, Abdelaziz Djelouah, Markus Gross, Christopher Schroers:
Generic Image Restoration With Flow Based Priors. 334-343 - Sewoong Ahn, Yeji Choi, Kwangjin Yoon:
Deep Learning-Based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment. 344-353 - Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. 354-363 - Younghyun Jo, Sejong Yang, Seon Joo Kim:
SRFlow-DA: Super-Resolution Using Normalizing Flow With Deep Convolutional Block. 364-372 - Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang:
VSpSR: Explorable Super-Resolution via Variational Sparse Representation. 373-381 - Lehan Yang, Kele Xu:
Cross Modality Knowledge Distillation for Multi-Modal Aerial View Object Classification. 382-387 - Seyed Mehdi Ayyoubzadeh, Ali Royat:
(ASNA) An Attention-Based Siamese-Difference Neural Network With Surrogate Ranking Loss Function for Perceptual Image Quality Assessment. 388-397 - Guannan Chen, Lijie Zhang, Mengdi Sun, Yan Gao, Pablo Navarrete Michelini, Yanhong Wu:
Single-Image HDR Reconstruction With Task-Specific Network Based on Channel Adaptive RDN. 398-403 - Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim:
Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution. 404-413 - Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong:
EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration. 414-423 - Younggeun Kim, Donghee Son:
Noise Conditional Flow Model for Learning the Super-Resolution Space. 424-432 - Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee:
Perceptual Image Quality Assessment With Transformers. 433-442 - Haiyang Guo, Yi Bin, Yuqing Hou, Qing Zhang, Hengliang Luo:
IQMA Network: Image Quality Multi-Scale Assessment Network. 443-452 - Mehmet Yamac, Baran Ataman, Aakif Nawaz:
KernelNet: A Blind Super-Resolution Kernel Estimation Network. 453-462 - Zhen Liu, Wenjie Lin, Xinpeng Li, Qing Rao, Ting Jiang, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu:
ADNet: Attention-Guided Deformable Convolutional Network for High Dynamic Range Imaging. 463-470 - Ziwei Luo, Lei Yu, Xuan Mo, Youwei Li, Lanpeng Jia, Haoqiang Fan, Jian Sun, Shuaicheng Liu:
EBSR: Feature Enhanced Burst Super-Resolution With Deformable Alignment. 471-478 - Tu Vo:
Attention! Stay Focus! 479-486 - Tianyi Chen, Jiahui Fu, Wentao Jiang, Chen Gao, Si Liu:
SRKTDN: Applying Super Resolution Method to Dehazing Task. 487-496 - Amirsaeed Yazdani, Tiantong Guo, Vishal Monga:
Physically Inspired Dense Fusion Networks for Relighting. 497-506 - Eunsung Jo, Jae-Young Sim:
Multi-Scale Selective Residual Learning for Non-Homogeneous Dehazing. 507-515 - Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang:
Variational AutoEncoder for Reference Based Image Super-Resolution. 516-525 - Akhil K. A, C. V. Jiji:
Single Image HDR Synthesis Using a Densely Connected Dilated ConvNet. 526-531 - Si Xi, Jia Wei, Weidong Zhang:
Pixel-Guided Dual-Branch Attention Network for Joint Image Deblurring and Super-Resolution. 532-540 - Dounia Hammou, Sid Ahmed Fezza, Wassim Hamidouche:
EGB: Image Quality Assessment Based on Ensemble of Gradient Boosting. 541-549 - S. M. A. Sharif, Rizwan Ali Naqvi, Mithun Biswas, Sungjun Kim:
A Two-Stage Deep Network for High Dynamic Range Image Reconstruction. 550-559 - Casian Miron, Alexandru Pasarica, Radu Timofte:
Efficient CNN Architecture for Multi-Modal Aerial View Object Classification. 560-565 - Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte:
NTIRE 2021 Depth Guided Image Relighting Challenge. 566-577 - Abdullah Abuolaim, Radu Timofte, Michael S. Brown:
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-Pixel Images: Methods and Results. 578-587 - Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte:
NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge. 588-595 - Andreas Lugmayr, Martin Danelljan, Radu Timofte:
NTIRE 2021 Learning the Super-Resolution Space Challenge. 596-612 - Goutam Bhat, Martin Danelljan, Radu Timofte:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. 613-626 - Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte:
NTIRE 2021 NonHomogeneous Dehazing Challenge Report. 627-646 - Ren Yang:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. 647-666 - Ren Yang:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study. 667-676 - Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte:
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. 677-690 - Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte:
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results. 691-700 - Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon:
Restoration of Video Frames From a Single Blurred Image With Motion Understanding. 701-710 - Indra Deep Mastan, Shanmuganathan Raman:
DeepObjStyle: Deep Object-Based Photo Style Transfer. 711-719 - Shi Pan, Chris Finlay, Chri Besenbruch, William J. Knottenbelt:
Three Gaps for Quantisation in Learned Image Compression. 720-726 - Xuan Zhao:
Single Image Dehazing Using Bounded Channel Difference Prior. 727-735 - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Instagram Filter Removal on Fashionable Images. 736-745 - Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin:
Dual Contrastive Learning for Unsupervised Image-to-Image Translation. 746-755 - Wei Jiang, Wei Wang, Shan Liu, Songnan Li:
PNG: Micro-Structured Prune-and-Grow Networks for Flexible Image Restoration. 756-765 - Yingqian Wang, Xinyi Ying, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Symmetric Parallax Attention for Stereo Image Super-Resolution. 766-775 - Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs:
Unifying Guided and Unguided Outdoor Image Synthesis. 776-785 - Magnus Oskarsson:
Robust Image-to-Image Color Transfer Using Optimal Inlier Maximization. 786-795 - Adria Font Calvarons:
Improved Noise2Noise Denoising With Limited Data. 796-805 - Han Lin, Maurice Pagnucco, Yang Song:
Edge Guided Progressively Generative Image Outpainting. 806-815 - Jan Pfister, Konstantin Kobs, Andreas Hotho:
Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. 816-825 - Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. 826-835 - Luming Liang, Ilya Zharkov, Faezeh Amjadi, Hamid Reza Vaezi Joze, Vivek Pradeep:
Guidance Network With Staged Learning for Image Enhancement. 836-845
Bridging the Gap Between Computational Photography and Visual Recognition
- Rui Chen, Jiajun Chen, Zixi Liang, Huaien Gao, Shan Lin:
DarkLight Networks for Action Recognition in the Dark. 846-852 - Sanchit Hira, Ritwik Das, Abhinav Modi, Daniil Pakhomov:
Delta Sampling R-BERT for Limited Data and Low-Light Action Recognition. 853-862 - Antonio A. Abello, Roberto Hirata, Zhangyang Wang:
Dissecting the High-Frequency Bias in Convolutional Neural Networks. 863-871 - Xiang Chen, Yufeng Huang, Lei Xu:
Multi-Scale Hourglass Hierarchical Fusion Network for Single Image Deraining. 872-879 - Yuzhuo Han, Xiaobiao Du, Zhi Yang:
Two-Stage Network for Single Image Super-Resolution. 880-887 - Xiaobiao Du, Jie Niu, Chongjin Liu:
Expectation-Maximization Attention Cross Residual Network for Single Image Super-Resolution. 888-896 - Mingye Ju, Chuheng Chen, Juping Liu, Kai Chen, Dengyin Zhang:
VRHI: Visibility Restoration for Hazy Images Using a Haze Density Model. 897-904 - Zhenyu Hu, Pengcheng Pi, Zhenyu Wu, Yunhe Xue, Jiayi Shen, Jianchao Tan, Xiangru Lian, Zhangyang Wang, Ji Liu:
E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles. 905-913 - Ziyu Jiang, Zhenhua He, Xueqin Huang, Zibin Yang, Pearl Tan:
CE-PeopleSeg: Real-Time People Segmentation With 10% CPU Usage for Video Conference. 914-922
Media Forensics
- Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton-Ferrer:
Adversarial Threats to DeepFake Detection: A Practical Perspective. 923-932 - Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts With Parts-Based Detectors. 933-942 - Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen:
Fashion-Guided Adversarial Attack on Person Segmentation. 943-952 - Neerja Thakkar, Hany Farid:
On the Feasibility of 3D Model-Based Forensic Height and Weight Estimation. 953-961 - Johan Sabel, Fredrik Johansson:
On the Robustness and Generalizability of Face Synthesis Detection Methods. 962-971 - Alexander Black, Tu Bui, Hailin Jin, Vishy Swaminathan, John P. Collomosse:
Deep Image Comparator: Learning To Visualize Editorial Change. 972-980 - Shruti Agarwal, Hany Farid:
Detecting Deep-Fake Videos From Aural and Oral Dynamics. 981-989 - Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva:
SpoC: Spoofing Camera Fingerprints. 990-1000 - Minha Kim, Shahroz Tariq, Simon S. Woo:
FReTAL: Generalizing Deepfake Detection Using Knowledge Distillation and Representation Learning. 1001-1012 - Brian C. Hosler, Davide Salvi, Anthony Murray, Fabio Antonacci, Paolo Bestagini, Stefano Tubaro, Matthew C. Stamm:
Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies. 1013-1022 - Andrea Valenzuela, Carlos Segura, Ferran Diego, Vicenç Gómez:
Expression Transfer Using Flow-Based Generative Models. 1023-1031 - János Horváth, Sriram Baireddy, Hanxiang Hao, Daniel Mas Montserrat, Edward J. Delp:
Manipulation Detection in Satellite Images Using Vision Transformer. 1032-1041 - Ziyue Xiang, János Horváth, Sriram Baireddy, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
Forensic Analysis of Video Files Using Metadata. 1042-1051
EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
- Sagar Verma, Akash Panigrahi, Siddharth Gupta:
QFabric: Multi-Task Change Detection Dataset. 1052-1061 - Takayuki Shinohara, Haoyi Xiu, Masashi Matsuoka:
Point2color: 3D Point Cloud Colorization Using a Conditional Generative Network and Differentiable Rendering for Airborne LiDAR. 1062-1071 - Yi Wang, Stefano Zorzi, Ksenia Bittner:
Machine-Learned 3D Building Vectorization From Satellite Imagery. 1072-1081 - Nannan Qin, Weikai Tan, Lingfei Ma, Dedong Zhang, Jonathan Li:
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World. 1082-1091 - Ryan Mukherjee, Derek M. Rollend, Gordon A. Christie, Armin Hadzic, Sally Matson, Anshu Saksena, Marisa Hughes:
Towards Indirect Top-Down Road Transport Emissions Estimation. 1092-1101 - Adrian Boguszewski, Dominik Batorski, Natalia Ziemba-Jankowska, Tomasz Dziedzic, Anna Zambrzycka:
LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads From Aerial Imagery. 1102-1110 - Gabriel Tseng, Hannah Kerner, Catherine Nakalembe, Inbal Becker-Reshef:
Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning. 1111-1120 - Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images. 1121-1131 - Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. 1132-1142 - Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz:
Addressing Visual Search in Open and Closed Set Settings. 1143-1151 - Dawa Derksen, Dario Izzo:
Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry. 1152-1161 - Gordon A. Christie, Kevin Foster, Shea Hagstrom, Gregory D. Hager, Myron Z. Brown:
Single View Geocentric Pose in the Wild. 1162-1171 - Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. 1172-1181 - Vladan Stojnic, Vladimir Risojevic:
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding. 1182-1191 - Chang Xu, Jinwang Wang, Wen Yang, Lei Yu:
Dot Distance for Tiny Object Detection in Aerial Images. 1192-1201 - Arpit Jain, Tapan Shah, Mohammed Yousefhussien, Achalesh Pandey:
Combining Remotely Sensed Imagery With Survival Models for Outage Risk Estimation of the Power Grid. 1202-1211
LatinX in CV Research
- Eric Raphael Huiza Pereyra, Cesar Augusto Olivares Poggi:
Talking With Signs: A Simple Method To Detect Nouns and Numbers in a Non-Annotated Signs Language Corpus. 1212-1220 - Camilo Pestana, Wei Liu, David G. Glance, Robyn A. Owens, Ajmal Mian:
Assistive Signals for Deep Neural Network Classifiers. 1221-1225 - Pablo V. A. Barros, Alessandra Sciutti:
I Only Have Eyes for You: The Impact of Masks on Convolutional-Based Facial Expression Recognition. 1226-1231 - João Paulo Lima, Rafael Roberto, Lucas Silva Figueiredo, Francisco Simões, Veronica Teichrieb:
Generalizable Multi-Camera 3D Pedestrian Detection. 1232-1240 - Ramon Izquierdo-Cordova, Walterio W. Mayol-Cuevas:
Filter Distribution Templates in Convolutional Networks for Image Classification Tasks. 1241-1246 - Alejandro Pardo, Mengmeng Xu, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
BAOD: Budget-Aware Object Detection. 1247-1256 - Elliott Gordon-Rodríguez:
On Disentanglement and Mutual Information in Semi-Supervised Variational Auto-Encoders. 1257-1262 - Matias Valdenegro-Toro:
I Find Your Lack of Uncertainty in Computer Vision Disturbing. 1263-1272 - Cuauhtemoc Daniel Suarez-Ramirez, Miguel González-Mendoza, Leonardo Chang, Gilberto Ochoa-Ruiz, Mario Alberto Duran-Vega:
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks. 1273-1281 - Jhacson Meza, Lenny A. Romero, Andrés G. Marrugo:
MarkerPose: Robust Real-Time Planar Target Tracking for Accurate Stereo Pose Estimation. 1282-1290
Event-Based Vision
- Genady Paikin, Yotam Ater, Roy Shaul, Evgeny Soloveichik:
EFI-Net: Video Frame Interpolation From Fusion of Events and Frames. 1291-1301 - Jalees Nehvi, Vladislav Golyanik, Franziska Mueller, Hans-Peter Seidel, Mohamed Elgharib, Christian Theobalt:
Differentiable Event Stream Simulator for Non-Rigid 3D Tracking. 1302-1311 - Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück:
v2e: From Video Frames to Realistic DVS Events. 1312-1321 - Urbano Miguel Nunes, Yiannis Demiris:
Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation. 1322-1323 - Tobi Delbrück, Rui Graca, Marcin Paluch:
Feedback Control of Event Cameras. 1324-1332 - Hadar Cohen Duwek, Albert Shalumov, Elishai Ezra Tsur:
Image Reconstruction From Neuromorphic Event Cameras Using Laplacian-Prediction and Poisson Integration With Spiking and Artificial Neural Networks. 1333-1341 - Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci:
N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. 1342-1347 - Tobias Bolten, Regina Pohle-Fröhlich, Klaus D. Tönnies:
DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios. 1348-1357 - Gianluca Scarpellini, Pietro Morerio, Alessio Del Bue:
Lifting Monocular Events to 3D Human Poses. 1358-1368 - Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu:
Comparing Representations in Tracking for Event Camera-Based SLAM. 1369-1376 - Thomas Barbier, Céline Teulière, Jochen Triesch:
Spike Timing-Based Unsupervised Learning of Orientation, Disparity, and Motion Representations in a Spiking Neural Network. 1377-1386 - Philippe Chiberre, Etienne Perot, Amos Sironi, Vincent Lepetit:
Detecting Stable Keypoints From Events Through Image Gradient Prediction. 1387-1394 - Francesca Peveri, Simone Testa, Silvio P. Sabatini:
A Cortically-Inspired Architecture for Event-Based Visual Motion Processing: From Design Principles to Real-World Applications. 1395-1402 - Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza:
How To Calibrate Your Event Camera. 1403-1409
Biometrics
- Blaine Ayotte, Mahesh K. Banavar, Daqing Hou, Stephanie Schuckers:
Group Leakage Overestimates Performance: A Case Study in Keystroke Dynamics. 1410-1417 - Syed Sadaf Ali, Vivek Singh Baghel, Iyyakutti Iyappan Ganapathi, Surya Prakash, Ngoc-Son Vu, Naoufel Werghi:
Toe Prints: An Application Study for Biometric Verification in Adults. 1418-1424 - Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Differential Morph Face Detection Using Discriminative Wavelet Sub-Bands. 1425-1434 - Khawla Mallat, Jean-Luc Dugelay:
Indirect Synthetic Attack on Thermal Face Biometric Systems via Visible-to-Thermal Spectrum Conversion. 1435-1443 - Sergey Tulyakov, Nishant Sankaran, Deen Dayal Mohan, Srirangaraj Setlur, Venu Govindaraju:
Multistage Fusion of Face Matchers. 1444-1452 - João Brito, Hugo Proença:
A Deep Adversarial Framework for Visually Explainable Periocular Recognition. 1453-1461
Analysis & Modeling of Faces & Gestures
- Miao Xin, Shentong Mo, Yuanze Lin:
EVA-GCN: Head Pose Estimation Based on Graph Convolutional Networks. 1462-1471 - Hau Chu, Jia-Hong Lee, Yao-Chih Lee, Ching-Hsien Hsu, Jia-Da Li, Chu-Song Chen:
Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and Tracking. 1472-1481 - Rushuai Liu, Weijun Tan:
EQFace: A Simple Explicit Quality Network for Face Recognition. 1482-1490 - Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien:
Video-Based Person Re-Identification Without Bells and Whistles. 1491-1500 - Jihyun Lee, Binod Bhattarai, Tae-Kyun Kim:
Face Parsing From RGB and Depth Using Cross-Domain Mutual Learning. 1501-1510 - Ankith Jain Rakesh Kumar, Bir Bhanu:
Micro-Expression Classification Based on Landmark Relations With Graph Attention Convolutional Network. 1511-1520 - Ali Pourramezan Fard, Hojjat Abdollahi, Mohammad H. Mahoor:
ASMNet: A Lightweight Deep Neural Network for Face Alignment and Pose Estimation. 1521-1530 - Sandipan Banerjee, Ajjen Joshi, Prashant Mahajan, Sneha Bhattacharya, Survi Kyal, Taniya Mishra:
LEGAN: Disentangled Manipulation of Directional Lighting and Facial Expressions Whilst Leveraging Human Perceptual Judgements. 1531-1541 - Kathan Vyas, Le Jiang, Shuangjun Liu, Sarah Ostadabbas:
An Efficient 3D Synthetic Model Generation Pipeline for Human Pose Data Augmentation. 1542-1552
Affective Understanding in Video
- Gustavo Olague, Matthieu Olague, Angel R. Jacobo-Lopez, Gerardo Ibarra-Vázquez:
Less Is More: Pursuing the Visual Turing Test With the Kuleshov Effect. 1553-1561 - Luis Felipe Gomez-Gomez, Aythami Morales, Juan Rafael Orozco-Arroyave, Roberto Daza, Julian Fiérrez:
Improving Parkinson Detection Using Dynamic Features From Evoked Expressions in Video. 1562-1570 - Ling Lei, Tong Chen, Shigang Li, Jianfeng Li:
Micro-Expression Recognition Based on Facial Graph Representation Learning and Facial Action Unit Fusion. 1571-1580
Multimodal Learning and Applications
- Longlong Jing, Ling Zhang, Yingli Tian:
Self-Supervised Feature Learning by Cross-Modality and Cross-View Correspondences. 1581-1591 - Jae-Won Cho, Dong-Jin Kim, Jinsoo Choi, Yunjae Jung, In So Kweon:
Dealing With Missing Modalities in the Visual Question Answer-Difference Prediction Task Through Knowledge Distillation. 1592-1601 - Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. 1602-1612 - André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek:
Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. 1613-1622 - Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian:
Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions. 1623-1632 - Wenbo Zheng, Lan Yan, Fei-Yue Wang, Chao Gou:
Progressive Knowledge-Embedded Unified Perceptual Parsing for Scene Understanding. 1633-1642 - Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text To Teach Image Retrieval. 1643-1652 - Tanzila Rahman, Shih-Han Chou, Leonid Sigal, Giuseppe Carenini:
An Improved Attention for Visual Question Answering. 1653-1662 - Wentong Liao, Cuiling Lan, Michael Ying Yang, Wenjun Zeng, Bodo Rosenhahn:
Target-Tailored Source-Transformation for Scene Graph Generation. 1663-1671 - Xu Dong, Binnan Zhuang, Yunxiang Mao, Langechuan Liu:
Radar Camera Fusion via Representation Learning in Autonomous Driving. 1672-1681 - Shah Nawaz, Muhammad Saad Saeed, Pietro Morerio, Arif Mahmood, Ignazio Gallo, Muhammad Haroon Yousaf, Alessio Del Bue:
Cross-Modal Speaker Verification and Recognition: A Multilingual Perspective. 1682-1691 - Mihee Lee, Vladimir Pavlovic:
Private-Shared Disentangled Multimodal VAE for Learning of Latent Representations. 1692-1700 - Sharath C. Koorathota, Patrick Adelman, Kelly Cotton, Paul Sajda:
Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing. 1701-1709 - Hemanth Dandu, Karan Sharma, Suchendra M. Bhandarkar:
Exploring the Limits of Zero-Shot Learning - How Low Can You Go? 1710-1719 - Juan Leon Alcazar, Fabian Caba, Long Mai, Federico Perazzi, Joon-Young Lee, Pablo Arbeláez, Bernard Ghanem:
APES: Audiovisual Person Search in Untrimmed Video. 1720-1729 - Andreas Stergioulas, Theocharis Chatzis, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras:
3D Hand Pose Estimation via Aligned Latent Space Injection and Kinematic Losses. 1730-1739
Causality in Vision
- Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Shadow-Mapping for Unsupervised Neural Causal Discovery. 1740-1743 - Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. 1744-1747 - Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded, Controllable and Debiased Image Completion With Lexical Semantics. 1748-1751 - Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth:
Learning Contextual Causality Between Daily Events From Time-Consecutive Images. 1752-1755 - Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian:
Instance-Wise Causal Feature Selection for Model Interpretation. 1756-1759
DynaVis: Dynamic Scene Reconstruction
- Lewis Bridgeman, Jean-Yves Guillemaut, Adrian Hilton:
Dynamic Appearance Modelling From Minimal Cameras. 1760-1769 - Keisuke Shibata, Sangeun Lee, Shohei Nobuhara, Ko Nishino:
Consistent 3D Human Shape From Repeatable Action. 1770-1779 - Akin Caliskan, Armin Mustafa, Adrian Hilton:
Temporal Consistency Loss for High Resolution Textured and Clothed 3D Human Reconstruction From Monocular Video. 1780-1790 - Marco Pesavento, Marco Volino, Adrian Hilton:
Super-Resolution Appearance Transfer for 4D Human Performances. 1791-1801
Skin Imaging Collaboration on Skin Image Analysis
- Fabian Stieler, Fabian Rabe, Bernhard Bauer:
Towards Domain-Specific Explainable AI: Model Interpretation of a Skin Image Classifier Using a Human Approach. 1802-1809 - Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. 1810-1819 - Matthew Groh, Caleb Harris, Luis Soenksen, Felix Lau, Rachel Han, Aerin Kim, Arash Koochek, Omar Badri:
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset. 1820-1828 - Mohammadreza Mohseni, Jordan Yap, William Yolland, Arash Koochek, M. Stella Atkins:
Can Self-Training Identify Suspicious Ugly Duckling Lesions? 1829-1836 - Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation. 1837-1846 - Alceu Bissoto, Eduardo Valle, Sandra Avila:
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review. 1847-1856
Learned Image Compression
- Yanding Peng, Jiahua Xu, Ziyuan Luo, Wei Zhou, Zhibo Chen:
Multi-Metric Fusion Network for Image Quality Assessment. 1857-1860 - Chi Do-Kim Pham, Chen Fu, Jinjia Zhou:
Deep Learning Based Spatial-Temporal In-Loop Filtering for Versatile Video Coding. 1861-1865 - Zhimeng Huang, Kai Lin, Chuanmin Jia, Shanshe Wang, Siwei Ma:
Beyond VVC: Towards Perceptual Quality Optimized Video Compression Using Multi-Scale Hybrid Approaches. 1866-1869 - Nannan Zou, Honglei Zhang, Francesco Cricri, Hamed R. Tavakoli, Jani Lainema, Emre Aksu, Miska M. Hannuksela, Esa Rahtu:
Learned Video Compression With Intra-Guided Enhancement and Implicit Motion Information. 1870-1874 - Khawar Islam, L. Minh Dang, Sujin Lee, Hyeonjoon Moon:
Image Compression With Recurrent Neural Network and Generalized Divisive Normalization. 1875-1879 - Jing Zhao, Bin Li, Jiahao Li, Ruiqin Xiong, Yan Lu:
A Universal Encoder Rate Distortion Optimization Framework for Learned Compression. 1880-1884 - Fabian Brand, Kristian Fischer, André Kaup:
Rate-Distortion Optimized Learning-Based Image Compression Using an Adaptive Hierachical Autoencoder With Conditional Hyperprior. 1885-1889 - Benoit Brummer, Christophe De Vleeschouwer:
End-to-End Optimized Image Compression With Competition of Prior Distributions. 1890-1894 - Zhengxue Cheng, Ting Fu, Jiapeng Hu, Li Guo, Shihao Wang, Xiongxin Zhao, Dajiang Zhou, Yang Song:
Perceptual Image Compression Using Relativistic Average Least Squares GANs. 1895-1900 - Shoma Iwai, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi:
Self Texture Transfer Networks for Low Bitrate Image Compression. 1901-1905 - Akifumi Suzuki, Hiroaki Akutsu, Takahiro Naruko, Koki Tsubota, Kiyoharu Aizawa:
Learned Image Compression With Super-Resolution Residual Modules and DISTS Optimization. 1906-1910 - Xining Wang, Tong Chen, Zhan Ma:
Subjective Quality Optimized Efficient Image Compression. 1911-1915 - Yixin Gao, Yaojun Wu, Zongyu Guo, Zhizheng Zhang, Zhibo Chen:
Perceptual Friendly Variable Rate Image Compression. 1916-1920 - Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak:
DANICE: Domain Adaptation Without Forgetting in Neural Image Compression. 1921-1925 - Yuyang Wu, Zhiyang Qi, Huiming Zheng, Lvfang Tao, Wei Gao:
Deep Image Compression With Latent Optimization and Piece-Wise Quantization Approximation. 1926-1930 - Yung-Han Ho, Chih-Chun Chan, Wen-Hsiao Peng, Hsueh-Ming Hang:
End-to-End Learned Image Compression With Augmented Normalizing Flows. 1931-1935 - Yi Ma, Yongqi Zhai, Chunhui Yang, Jiayu Yang, Ruofan Wang, Jing Zhou, Kai Li, Ying Chen, Ronggang Wang:
Variable Rate ROI Image Compression Optimized for Visual Quality. 1936-1940
AI for Space
- Olaf Sikorski, Dario Izzo, Gabriele Meoni:
Event-Based Spacecraft Landing Using Time-To-Contact. 1941-1950 - Sriram Baireddy, Sundip R. Desai, James L. Mathieson, Richard H. Foster, Moses W. Chan, Mary L. Comer, Edward J. Delp:
Spacecraft Time-Series Anomaly Detection Using Transfer Learning. 1951-1960 - Anirudh Srinivasan Chakravarthy, Roshan Roy, Praveen Ravirathinam:
MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification. 1961-1970 - Andrés Moya, Jarmi Recio-Martinez, Roberto Javier López-Sastre:
AI for Dating Stars: A Benchmarking Study for Gyrochronology. 1971-1981 - R. Michael Swan, Deegan Atha, Henry A. Leopold, Matthew Gildner, Stephanie Oij, Cindy Chiu, Masahiro Ono:
AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars. 1982-1991 - Andrew Price, Kazuya Yoshida:
A Monocular Pose Estimation Case Study: The Hayabusa2 Minerva-II2 Deployment. 1992-2001 - Anne Mergy, Gurvan Lécuyer, Dawa Derksen, Dario Izzo:
Vision-Based Neural Scene Representations for Spacecraft. 2002-2011 - Dung Anh Hoang, Bo Chen, Tat-Jun Chin:
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. 2012-2019 - Andrzej Stanislaw Kucik, Gabriele Meoni:
Investigating Spiking Neural Networks for Energy-Efficient On-Board AI Applications. A Case Study in Land Cover and Land Use Classification. 2020-2030 - Giulia Ciabatti, Shreyansh Daftry, Roberto Capobianco:
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning. 2031-2038 - Charles E. Oestreich, Antonio Terán Espinoza, Jessica Todd, Keenan Albee, Richard Linares:
On-Orbit Inspection of an Unknown, Tumbling Target Using NASA's Astrobee Robotic Free-Flyers. 2039-2047 - Albert García, Mohamed Adel Musallam, Vincent Gaudillière, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Damian Perez, Djamila Aouada:
LSPnet: A 2D Localization-Oriented Spacecraft Pose Estimation Neural Network. 2048-2056 - André Menezes, Pedro Vicente, Alexandre Bernardino, Rodrigo Ventura:
From Rocks to Walls: A Model-Free Reinforcement Learning Approach To Dry Stacking With Irregular Rocks. 2057-2065 - Mehregan Dor, Katherine A. Skinner, Travis Driver, Panagiotis Tsiotras:
Visual SLAM for Asteroid Relative Navigation. 2066-2075 - David Thomas, Joshua Meyers, Steven M. Kahn:
Improving Astronomy Image Quality Through Real-Time Wavefront Estimation. 2076-2085 - Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo:
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. 2086-2094 - Padmaja Jonnalagedda, Rachel Surprenant, Mary Droser, Bir Bhanu:
SPACESeg: Automated Detection of Bed Junction Morphologies Indicating Signs of Life in Ediacaran Period. 2095-2104
Sketch-Oriented Deep Learning
- Karl D. D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu:
Engineering Sketch Generation for Computer-Aided Design. 2105-2114 - Pablo Torres, José M. Saavedra:
Compact and Effective Representations for Sketch-Based Image Retrieval. 2115-2123 - Pradyumna Reddy:
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision. 2124-2133 - Anibal Fuentes, José M. Saavedra:
Sketch-QNet: A Quadruplet ConvNet for Color Sketch-Based Image Retrieval. 2134-2141 - Kemal Tugrul Yesilbek, T. Metin Sezgin:
On Training Sketch Recognizers for New Domains. 2142-2149
Women in Computer Vision
- Naina Dhingra, Florian Ritter, Andreas M. Kunz:
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation. 2150-2159 - Rita Pucci, Christian Micheloni, Niki Martinel:
Collaborative Image and Object Level Features for Image Colourisation. 2160-2169 - Tahani Madmad, Nicolas Delinte, Christophe De Vleeschouwer:
CNN-Based Morphological Decomposition of X-Ray Images for Details and Defects Contrast Enhancement. 2170-2180 - Chaitra Desai, Ramesh Ashok Tabib, Sai Sudheer Reddy, Ujwala Patil, Uma Mudenagudi:
RUIG: Realistic Underwater Image Generation Towards Restoration. 2181-2189 - Girish Hegde, Tushar Pharale, Soumya Jahagirdar, Vaishakh Nargund, Ramesh Ashok Tabib, Uma Mudenagudi, Basavaraja S. Vandrotti, Ankit Dhiman:
DeepDNet: Deep Dense Network for Depth Completion Task. 2190-2199 - Siddharth Katageri, Sameer Kulmi, Ramesh Ashok Tabib, Uma Mudenagudi:
PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition. 2200-2208 - Mamatha Thota, Georgios Leontidis:
Contrastive Domain Adaptation. 2209-2218 - Purvi Goel, Li Chen:
On the Robustness of Monte Carlo Dropout Trained With Noisy Labels. 2219-2228
Precognition: Seeing Through the Future
- Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu:
End-to-End Interactive Prediction and Planning With Optical Flow Distillation for Autonomous Driving. 2229-2238 - Shentong Mo, Miao Xin:
Long-Term Head Pose Forecasting Conditioned on the Gaze-Guiding Prior. 2239-2248 - Olga Zatsarynna, Yazan Abu Farha, Juergen Gall:
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos. 2249-2258 - Krati Gupta, Michael H. Goldbaum, Siamak Yousefi:
Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural Network. 2259-2267 - Yuka Aoyagi, Noboru Murata, Hidetomo Sakaino:
Spatio-Temporal Predictive Network for Videos With Physical Properties. 2268-2278 - Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing:
Panoptic Segmentation Forecasting. 2279-2288
Responsible Computer Vision
- Caner Hazirbas, Joanna Bitton, Brian Dolhansky, Jacqueline Pan, Albert Gordo, Cristian Canton-Ferrer:
Casual Conversations: A Dataset for Measuring Fairness in AI. 2289-2293 - Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara:
MTUNet: Few-Shot Image Classification With Visual Explanations. 2294-2298 - Samuele Poppi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis. 2299-2304 - Attila Szabó, Hadi Jamali Rad, Siva-Datta Mannava:
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation. 2305-2310 - Andre Fu, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
Reconsidering CO2 Emissions From Computer Vision. 2311-2317 - Umberto Michieli, Mete Ozay:
Are All Users Treated Fairly in Federated Learning Systems? 2318-2322 - Ezgi Korkmaz:
Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies. 2323-2327
Mobile AI
- Sangbum Choi, Seokeon Choi, Changick Kim:
MobileHumanPose: Toward Real-Time 3D Human Pose Estimation in Mobile Devices. 2328-2338 - Haojin Yang, Zhen Shen, Yucheng Zhao:
AsymmNet: Towards Ultralight Convolution Neural Networks Using Asymmetrical Bottlenecks. 2339-2348 - Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection. 2349-2358 - Mostafa Elhoushi, Zihao Chen, Farhan Shafiq, Ye Henry Tian, Joey Yiwei Li:
DeepShift: Towards Multiplication-Less Neural Networks. 2359-2368 - Ben Howells, James Charles, Roberto Cipolla:
Real-Time Analogue Gauge Transcription on Mobile Phone. 2369-2377 - Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. 2378-2387 - Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie:
Low Bandwidth Video-Chat Compression Using Deep Generative Models. 2388-2397 - Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari:
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering From a Single Image. 2398-2407 - Hongyang Liu, Sara Elkerdawy, Nilanjan Ray, Mostafa Elhoushi:
Layer Importance Estimation With Imprinting for Neural Network Quantization. 2408-2417 - Jagadish K. Mahendran, Daniel T. Barry, Anita K. Nivedha, Suchendra M. Bhandarkar:
Computer Vision-Based Assistance System for the Visually Impaired Using Mobile Edge Artificial Intelligence. 2418-2427 - Mehmet Kerim Yücel, Valia Dimaridou, Anastasios Drosou, Albert Saà-Garriga:
Real-Time Monocular Depth Estimation With Sparse Supervision on Mobile. 2428-2437 - Fagner Cunha, Eulanda M. dos Santos, Raimundo S. Barreto, Juan Gabriel Colonna:
Filtering Empty Camera Trap Images in Embedded Systems. 2438-2446 - Stone Yun, Alexander Wong:
Do All MobileNets Quantize Poorly? Gaining Insights Into the Effect of Quantization on Depthwise Separable Convolutional Networks Through the Eyes of Multi-Scale Distributional Dynamics. 2447-2456 - Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao:
Knowledge Distillation for Fast and Accurate Monocular Depth Estimation on Mobile Devices. 2457-2465 - Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu:
A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices. 2466-2471 - Mustafa Ayazoglu:
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices. 2472-2479 - Shaoli Liu, Chengjian Zheng, Kaidi Lu, Gao Si, Ning Wang, Bofei Wang, Diankai Zhang, Xiaofeng Zhang, Tianyu Xu:
EVSRNet: Efficient Video Super-Resolution With Neural Architecture Search. 2480-2485 - Ming-Chun Hsyu, Chih-Wei Liu, Chao-Hung Chen, Chao-Wei Chen, Wen-Chia Tsai:
CSAnet: High Speed Channel Spatial Attention Network for Mobile ISP. 2486-2493 - Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-Based Plain Net for Mobile Image Super-Resolution. 2494-2502 - Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo, Anastasia Sycheva, Radu Timofte:
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. 2503-2514 - Andrey Ignatov, Kim Byeoung-su, Radu Timofte, Angeline Pouget:
Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report. 2515-2524 - Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes:
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. 2525-2534 - Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte:
Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report. 2535-2544 - Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. 2545-2557 - Andrey Ignatov, Grigory Malivenko, Radu Timofte:
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. 2558-2568 - Angeline Pouget, Sidharth Ramesh, Maximilian Giang, Ramithan Chandrapalan, Toni Tanner, Moritz Prussing, Radu Timofte, Andrey Ignatov:
Fast and Accurate Camera Scene Detection on Smartphones. 2569-2580
Learning From Limited or Imperfect Data
- Yang Zhao, Chunyuan Li, Ping Yu, Changyou Chen:
ReMP: Rectified Metric Propagation for Few-Shot Learning. 2581-2590 - John Cai, Bill Cai, Sheng Mei Shen:
DAMSL: Domain Agnostic Meta Score-Based Learning. 2591-2595 - Vadim Sushko, Jürgen Gall, Anna Khoreva:
One-Shot GAN: Learning To Generate Samples From Single Images and Videos. 2596-2600 - Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. 2601-2609 - Chen-Hao Chao, Bo-Wun Cheng, Chun-Yi Lee:
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption. 2610-2620 - Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. 2621-2630 - Edgar A. Bernal:
Training Deep Generative Models in Highly Incomplete Data Scenarios With Prior Regularization. 2631-2641 - Ziqi Pang, Zhiyuan Hu, Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert:
Unlocking the Full Potential of Small Data With Diverse Supervision. 2642-2652 - Timo Lüddecke, Alexander S. Ecker:
The Role of Data for One-Shot Semantic Segmentation. 2653-2658 - Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. 2659-2667 - Zitian Chen, Subhransu Maji, Erik G. Learned-Miller:
Shot in the Dark: Few-Shot Learning With No Base-Class Labels. 2668-2677 - Prashant Shivaram Bhat, Elahe Arani, Bahram Zonooz:
Distill on the Go: Online Knowledge Distillation in Self-Supervised Learning. 2678-2687 - Yingyi Chen, Xi Shen, Shell Xu Hu, Johan A. K. Suykens:
Boosting Co-Teaching With Compression Regularization for Label Noise. 2688-2692 - Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo:
A Closer Look at Self-Training for Zero-Label Semantic Segmentation. 2693-2702 - Aritra Ghosh, Andrew S. Lan:
Contrastive Learning Improves Model Robustness Under Label Noise. 2703-2708 - Anurag Singh, Naren Doraiswamy, Sawa Takamuku, Megh Bhalerao, Titir Dutta, Soma Biswas, Aditya Chepuri, Balasubramanian Vengatesan, Naotake Natori:
Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics. 2709-2718 - Youshan Zhang, Brian D. Davison:
Efficient Pre-Trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation. 2719-2728 - Ruggero Ragonesi, Riccardo Volpi, Jacopo Cavazza, Vittorio Murino:
Learning Unbiased Representations via Mutual Information Backpropagation. 2729-2738 - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-Label Classification. 2739-2748 - Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo:
Cluster-Driven Graph Federated Learning Over Multiple Domains. 2749-2758 - Nishant Rai, Aidas Liaudanskas, Srinivas Rao, Rodrigo Ortiz Cayon, Matteo Munaro, Stefan Holzer:
Weak Multi-View Supervision for Surface Mapping Estimation. 2759-2768 - Eric Martinson, Bridget Furlong, Andy Gillies:
Training Rare Object Detection in Satellite Imagery With Synthetic GAN Images. 2769-2776 - Alberto Sabater, Laura Santos, José Santos-Victor, Alexandre Bernardino, Luis Montesano, Ana C. Murillo:
One-Shot Action Recognition in Challenging Therapy Scenarios. 2777-2785 - Rami Ben-Ari, Mor Shpigel Nacson, Ophir Azulai, Udi Barzelay, Daniel Rotman:
TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition. 2786-2794 - Yichun Shi, Anil K. Jain:
Boosting Unconstrained Face Recognition With Auxiliary Unlabeled Data. 2795-2804
Autonomous Driving
- Bojun Ouyang, Dan Raviv:
Occlusion Guided Scene Flow Estimation on 3D Point Clouds. 2805-2814 - Yizhou Wang, Gaoang Wang, Hung-Min Hsu, Hui Liu, Jenq-Neng Hwang:
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment. 2815-2824 - Mennatullah Siam, Alex Kendall, Martin Jägersand:
Video Class Agnostic Segmentation Benchmark for Autonomous Driving. 2825-2834 - Francesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh:
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation. 2835-2845 - Tyler Nuanes, Matt Elsey, Aswin Sankaranarayanan, John Shen:
Soft Cross Entropy Loss and Bottleneck Tri-Cost Volume for Efficient Stereo Depth Prediction. 2846-2854 - Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection Using Energy-Based Models. 2855-2864 - Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez:
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting Through Multi-View Fusion of LiDAR Data. 2865-2874 - Hamed H. Aghdam, Elnaz Jahani Heravi, Selameab S. Demilew, Robert Laganière:
RAD: Realtime and Accurate 3D Object Detection on Embedded Systems. 2875-2883 - Ju He, Enyu Zhou, Liusheng Sun, Fei Lei, Chenyang Liu, Wenxiu Sun:
Semi-Synthesis: A Fast Way To Produce Effective Datasets for Stereo Matching. 2884-2893 - Xudong Lv, Boya Wang, Ziwen Dou, Dong Ye, Shuo Wang:
LCCNet: LiDAR and Camera Self-Calibration Using Cost Volume Network. 2894-2901 - Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki:
Multi-Task Learning With Attention for End-to-End Autonomous Driving. 2902-2911
Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture
- Kim Jensen, Oskar Kondrup Krogh, Marius Willemoes Jorgensen, Daniel Lehotský, Anton Bock Andersen, Ernest Porqueras, Jens Aksel S. Sondergaard, Rikke Gade:
Determining Dendrometry Using Drone Scouting, Convolutional Neural Networks and Point Clouds. 2912-2920 - Malika Nisal Ratnayake, Adrian G. Dyer, Alan Dorin:
Towards Computer Vision and Deep Learning Facilitated Pollination Monitoring for Agriculture. 2921-2930 - Chao Ren, Justin Dulay, Gregory Rolwes, Duke Pauli, Nadia Shakoor, Abby Stylianou:
Multi-Resolution Outlier Pooling for Sorghum Classification. 2931-2939 - Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang:
Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification. 2940-2949 - Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs:
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress From Aerial Imagery. 2950-2959 - Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Ujjwal Baid:
Fuse-PN: A Novel Architecture for Anomaly Pattern Segmentation in Aerial Agricultural Images. 2960-2968
Visual Perception for Navigation in Human Environments: The JackRabbot Social Grouping and Activity Dataset and Benchmark
- Yuhang He, Wentao Yu, Jie Han, Xing Wei, Xiaopeng Hong, Yihong Gong:
Know Your Surroundings: Panoramic Multi-Object Tracking by Multimodality Collaboration. 2969-2980 - Emre Hatay, Jin Ma, Huiming Sun, Jianwu Fang, Zhiqiang Gao, Hongkai Yu:
Learning To Detect Phone-Related Pedestrian Distracted Behaviors With Synthetic Data. 2981-2989
Efficient Deep Learning for Computer Vision
- Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. 2990-2999 - Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-Shot Network Quantization. 3000-3011 - Chen Zhang, Yinghao Xu, Yujun Shen:
CompConv: A Compact Convolution Module for Efficient Feature Learning. 3012-3021 - Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard:
Discovering Multi-Hardware Mobile Models via Architecture Search. 3022-3031 - Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel:
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. 3032-3042 - Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. 3043-3052 - Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou:
Network Space Search for Pareto-Efficient Spaces. 3053-3062 - Marios Fournarakis, Markus Nagel:
In-Hindsight Quantization Range Estimation for Quantized Training. 3063-3070 - Kyungmin Kim, Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Peter Vajda, Seon Joo Kim:
Rethinking the Self-Attention in Vision Transformers. 3071-3075 - Jia-Ming Lin, Kuan-Ting Lai, Bin-Ray Wu, Ming-Syan Chen:
Efficient Two-Stream Action Recognition on FPGA. 3076-3080 - Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka:
BasisNet: Two-Stage Model Synthesis for Efficient Inference. 3081-3090 - AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew:
Pareto-Optimal Quantized ResNet Is Mostly 4-Bit. 3091-3099 - Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi:
ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. 3100-3109 - Wei Lou, Lei Xun, Amin Sabet, Jia Bi, Jonathon S. Hare, Geoff V. Merrett:
Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms. 3110-3118 - Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez:
Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. 3119-3124
Gaze Estimation and Prediction in the Wild
- Henri Tomas, Marcus Reyes, Raimarc S. Dionido, Mark Ty, Jonric Mirando, Joel Casimiro, Rowel Atienza, Richard Guinto:
GOO: A Dataset for Gaze Object Prediction in Retail Environments. 3125-3133 - Nikolaos Poulopoulos, Emmanouil Z. Psarakis, Dimitrios I. Kosmopoulos:
PupilTAN: A Few-Shot Adversarial Pupil Localizer. 3134-3142 - L. R. D. Murthy, Pradipta Biswas:
Appearance-Based Gaze Estimation Using Attention and Difference Mechanism. 3143-3152 - Rémy Siegfried, Jean-Marc Odobez:
Visual Focus of Attention Estimation in 3D Scene With an Arbitrary Number of Targets. 3153-3161
Visual Odometry and Computer Vision Applications Based on Location Clues - With a Focus on Mobile Platform Applications
- Zobeir Raisi, Mohamed A. Naiel, Georges Younes, Steven Wardell, John S. Zelek:
Transformer-Based Text Detection in the Wild. 3162-3171 - Chuanlei Zhang, Lixin Liu, Minda Yao, Wei Chen, Dufeng Chen, Yuliang Wu:
HSiPu2 - A New Human Physical Fitness Action Dataset for Recognition and 3D Reconstruction Evaluation. 3172-3181
Embedded Vision
- Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato:
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications. 3182-3190 - Nima Aghli, Eraldo Ribeiro:
Combining Weight Pruning and Knowledge Distillation for CNN Compression. 3191-3198 - Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli:
Phase Selective Convolution. 3199-3208 - Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar:
Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. 3209-3214 - Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. 3215-3223
Fair, Data-Efficient, and Trusted Computer Vision
- Stanislaw Szymanowicz, James Charles, Roberto Cipolla:
X-MAN: Explaining Multiple Sources of Anomalies in Video. 3224-3232 - Andrea Zunino, Sarah Adel Bargal, Riccardo Volpi, Mehrnoosh Sameki, Jianming Zhang, Stan Sclaroff, Vittorio Murino, Kate Saenko:
Explainable Deep Classification Models for Domain Generalization. 3233-3242 - Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. 3243-3252 - Arash Rahnama, Andrew Tseng:
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. 3253-3262 - Matteo Tomei, Lorenzo Baraldi, Simone Bronzin, Rita Cucchiara:
Estimating (and Fixing) the Effect of Face Obfuscation in Video Recognition. 3263-3269 - Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska:
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. 3270-3280 - Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. 3281-3289 - Jean-Michel Begon, Pierre Geurts:
Sample-Free White-Box Out-of-Distribution Detection for Deep Learning. 3290-3299 - Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. 3300-3309 - Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin:
Towards Fair Federated Learning With Zero-Shot Data Augmentation. 3310-3319 - Megh Shukla, Shuaib Ahmed:
A Mathematical Analysis of Learning Loss for Active Learning in Regression. 3320-3328 - Chen Sun, En-Hui Yang:
A Watermarking-Based Framework for Protecting Deep Image Classifiers Against Adversarial Attacks. 3329-3338
Large Scale Holistic Video Understanding
- Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho:
IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos. 3339-3348 - Kensho Hara, Yuchi Ishikawa, Hirokatsu Kataoka:
Rethinking Training Data for Mitigating Representation Biases in Action Recognition. 3349-3353 - Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko:
MDMMT: Multidomain Multimodal Transformer for Video Retrieval. 3354-3363 - Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing:
SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. 3364-3374 - Nikolaos Gkalelis, Andreas Goulas, Damianos Galanopoulos, Vasileios Mezaris:
ObjectGraphs: Using Objects and a Graph Convolutional Network for the Bottom-Up Recognition and Explanation of Events in Video. 3375-3383 - Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles:
CoCon: Cooperative-Contrastive Learning. 3384-3393
ChaLearn Looking at People: Sign Language Recognition in the Wild & Large Scale Signer Independent Isolated SLR Challenge
- Tao Jiang, Necati Cihan Camgöz, Richard Bowden:
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation. 3394-3402 - Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie:
Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. 3403-3412 - Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu:
Skeleton Aware Multi-Modal Sign Language Recognition. 3413-3423 - Ivan Gruber, Zdenek Krnoul, Marek Hrúz, Jakub Kanis, Matyas Bohacek:
Mutual Support of Data Modalities in the Task of Sign Language Recognition. 3424-3433 - Amit Moryossef, Ioannis Tsochantaridis, Joe Dinn, Necati Cihan Camgöz, Richard Bowden, Tao Jiang, Annette Rios, Mathias Müller, Sarah Ebling:
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition. 3434-3440 - Mathieu De Coster, Mieke Van Herreweghe, Joni Dambre:
Isolated Sign Recognition From RGB Video Using Pose Flow and Self-Attention. 3441-3450 - Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou:
Sign Language Production: A Review. 3451-3461 - Manuel Vázquez-Enríquez, José Luis Alba-Castro, Laura Docío Fernández, Eduardo Rodríguez Banga:
Isolated Sign Language Recognition With Multi-Scale Spatial-Temporal Graph Convolutional Networks. 3462-3471 - Ozge Mercanoglu Sincan, Júlio C. S. Jacques Júnior, Sergio Escalera, Hacer Yalim Keles:
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research. 3472-3481
Continual Learning in Computer Vision
- Arthur Douillard, Eduardo Valle, Charles Ollion, Thomas Robert, Matthieu Cord:
Insights From the Future for Continual Learning. 3482-3491 - Binh X. Nguyen, Binh D. Nguyen, Tuong Do, Erman Tjiputra, Quang D. Tran, Anh Nguyen:
Graph-Based Person Signature for Person Re-Identifications. 3492-3501 - Tyler L. Hayes, Christopher Kanan:
Selective Replay Enhances Learning in Online Continual Analogical Reasoning. 3502-3512 - Sudhanshu Mittal, Silvio Galesso, Thomas Brox:
Essentials for Class Incremental Learning. 3513-3522 - Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh:
Neural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference. 3523-3532 - Jian Jiang, Edoardo Cetin, Oya Çeliktutan:
IB-DRR - Incremental Learning With Information-Back Discrete Representation Replay. 3533-3542 - Yoojin Choi, Mostafa El-Khamy, Jungwon Lee:
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay. 3543-3552 - Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen:
Plastic and Stable Gated Classifiers for Continual Learning. 3553-3558 - Chen He, Ruiping Wang, Xilin Chen:
A Tale of Two CILs: The Connections Between Class Incremental Learning and Class Imbalanced Learning, and Beyond. 3559-3569 - Marc Masana, Tinne Tuytelaars, Joost van de Weijer:
Ternary Feature Masks: Zero-Forgetting for Task-Incremental Learning. 3570-3579 - Wenju Sun, Jing Zhang, Danyu Wang, Yangli-ao Geng, Qingyong Li:
ILCOC: An Incremental Learning Framework Based on Contrastive One-Class Classifiers. 3580-3588 - Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner:
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning. 3589-3599 - Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. 3600-3610 - Gido M. van de Ven, Zhe Li, Andreas S. Tolias:
Class-Incremental Learning With Generative Classifiers. 3611-3620 - Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
CL-Gym: Full-Featured PyTorch Library for Continual Learning. 3621-3627 - Kai Wang, Luis Herranz, Joost van de Weijer:
Continual Learning in Cross-Modal Retrieval. 3628-3638 - Apoorv Khattar, Srinidhi Hegde, Ramya Hebbalaguppe:
Cross-Domain Multi-Task Learning for Object Detection and Saliency Estimation. 3639-3648 - Lukasz Korycki, Bartosz Krawczyk:
Class-Incremental Experience Replay for Continual Learning Under Concept Drift. 3649-3658
Omnidirectional Computer Vision in Research and Industry
- Elad Plaut, Erez Ben-Yaacov, Bat El Shlomo:
3D Object Detection From a Single Fisheye Image Without a Single Fisheye Training Image. 3659-3667 - Magnus Oskarsson:
Fast Solvers for Minimal Radial Distortion Relative Pose Problems. 3668-3677 - Roman Seidel, Andre Apitzsch, Gangolf Hirtz:
OmniFlow: Human Omnidirectional Optical Flow. 3678-3681 - Zoltan Kato, Gabor Nagy, Martin Humenberger, Gabriela Csurka:
Detecting Low-Rank Regions in Omnidirectional Images. 3682-3692 - Julie Buquet, Jinsong Zhang, Patrice Roulet, Simon Thibault, Jean-François Lalonde:
Evaluating the Impact of Wide-Angle Lens Distortion on Learning-Based Depth Estimation. 3693-3701 - Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, José Jesús Guerrero:
Scaled 360 Layouts: Revisiting Non-Central Panoramas. 3702-3705 - Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali:
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. 3706-3715 - Vasileios Gkitsas, Vladimiros Sterzentsenko, Nikolaos Zioulis, Georgios Albanis, Dimitrios Zarpalas:
PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes. 3716-3726 - Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras:
Pano3D: A Holistic Benchmark and a Solid Baseline for 360deg Depth Estimation. 3727-3737
Computer Vision for Microscopy Image Analysis
- Zhu Meng, Zhicheng Zhao, Fei Su, Limei Guo:
Hierarchical Spatial Pyramid Network for Cervical Precancerous Segmentation by Reconstructing Deep Segmentation Networks. 3738-3745 - Camilo Aguilar, Mary L. Comer, Imad Hanhan, Ronald Agyei, Michael D. Sangid:
3D Fiber Segmentation With Deep Center Regression and Geometric Clustering. 3746-3754 - Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images. 3755-3765 - Kechun Liu, Mojgan Mokhtari, Beibin Li, Shima Nofallah, Caitlin J. May, Oliver Chang, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro:
Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations. 3766-3775 - Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras:
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification. 3776-3784 - Dejan Stepec, Danijel Skocaj:
Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation. 3785-3792 - Haruki Fujii, Hayato Tanaka, Momoko Ikeuchi, Kazuhiro Hotta:
X-Net With Different Loss Functions for Cell Image Segmentation. 3793-3800 - Mylene Simon, Sunny Yu, Jayapriya Nagarajan, Peter Bajcsy, Nicholas J. Schaub, Mohamed Ouladi, Sudharsan Prativadi, Nathan Hotaling:
Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery. 3801-3809
Computer Vision for Physiological Measurement
- Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
Combining Magnification and Measurement for Non-Contact Cardiac Monitoring. 3810-3819 - Fabian Schrumpf, Patrick Frenzel, Christoph Aust, Georg Osterhoff, Mirco Fuchs:
Assessment of Deep Learning Based Blood Pressure Prediction From PPG and rPPG Signals. 3820-3830 - Haoyuan Gao, Xiaopei Wu, Chenyun Shi, Qing Gao, Jidong Geng:
A LSTM-Based Realtime Signal Quality Assessment for Photoplethysmogram and Remote Photoplethysmogram. 3831-3840 - Deval Mehta, Umar Asif, Tian Hao, Erhan Bilal, Stefan von Cavallar, Stefan Harrer, Jeffrey L. Rogers:
Towards Automated and Marker-Less Parkinson Disease Assessment: Predicting UPDRS Scores Using Sit-Stand Videos. 3841-3849 - Ryo Takahashi, Koichi Ashida, Yasuo Kobayashi, Rumi Tokunaga, Shuhei Kodama, Norimichi Tsumura:
Oxygen Saturation Estimation Based on Optimal Band Selection From Multi-Band Video. 3850-3856 - Alicja Kwasniewska, Maciej Szankin, Jacek Ruminski, Anthony Sarah, David Gamba:
Improving Accuracy of Respiratory Rate Estimation by Restoring High Resolution Features With Transformers and Recursive Convolutional Models. 3857-3867 - Fritz Webering, Holger Blume, Issam Allaham:
Markerless Camera-Based Vertical Jump Height Measurement Using OpenPose. 3868-3874 - Jing Wei Chin, Kwan Long Wong, Tsz Tai Chan, Kristian Suhartono, Richard Hau Yue So:
An Infrared Thermography Model Enabling Remote Body Temperature Screening Up to 10 Meters. 3875-3881 - Zhengjie Huang, Wenjin Wang, Gerard de Haan:
Nose Breathing or Mouth Breathing? A Thermography-Based New Measurement for Sleep Monitoring. 3882-3888
Computer Vision for Fashion, Art, and Design
- Robin Kips, Ruowei Jiang, Sileye O. Ba, Edmund Phung, Parham Aarabi, Pietro Gori, Matthieu Perrot, Isabelle Bloch:
Deep Graphics Encoder for Real-Time Video Makeup Synthesis From Example. 3889-3893 - Kaicheng Pang, Xingxing Zou, Waikeung Wong:
Modeling Fashion Compatibility With Explanation by Using Bidirectional LSTM. 3894-3898 - Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar:
Color Me Good: Branding in the Coloring Style of Movie Posters. 3899-3903 - Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. 3904-3909 - Antonio D'Innocente, Nikhil Garg, Yuan Zhang, Loris Bazzani, Michael Donoser:
Localized Triplet Loss for Fine-Grained Fashion Image Retrieval. 3910-3915 - Beatriz Quintino Ferreira, João Paulo Costeira, João Pedro Gomes:
Explainable Noisy Label Flipping for Multi-Label Fashion Image Classification. 3916-3920 - Yusuke Horiuchi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Differentiable Rendering-Based Pose-Conditioned Human Image Generation. 3921-3925 - Othman Sbai, Camille Couprie, Mathieu Aubry:
Surprising Image Compositions. 3926-3930 - Alexander Lorbert, David Neiman, Arik Poznanski, Eduard Oks, Larry Davis:
Scalable and Explainable Outfit Generation. 3931-3934 - Pranjal Singh Rajput, Shivangi Aneja:
IndoFashion: Apparel Classification for Indian Ethnic Clothes. 3935-3939 - Aiyu Cui, Daniel McKee, Svetlana Lazebnik:
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing. 3940-3945 - Mingcheng Yuan, Edgar Simo-Serra:
Line Art Colorization With Concatenated Spatial Attention. 3946-3950 - Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. 3951-3955 - Marcos V. Conde, Kerem Turgutlu:
CLIP-Art: Contrastive Pre-Training for Fine-Grained Art Classification. 3956-3960 - Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra:
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems. 3961-3967 - Wuraola Fisayo Oyewusi, Olubayo Adekanmbi, Sharon Ibejih, Opeyemi Osakuade, Ifeoma Okoh, Mary Idera Salami:
AFRIFASHION1600: A Contemporary African Fashion Dataset for Computer Vision. 3968-3972 - Viral Parekh, Karimulla Shaik, Soma Biswas, Muthusamy Chelliah:
Fine-Grained Visual Attribute Extraction From Fashion Wear. 3973-3977 - Pranit Chawla, Surgan Jandial, Pinkesh Badjatiya, Ayush Chopra, Mausoom Sarkar, Balaji Krishnamurthy:
Leveraging Style and Content Features for Text Conditioned Image Retrieval. 3978-3982
AI City Challenge
- Kai-Siang Yang, Yu-Kai Chen, Tsai-Shien Chen, Chih-Ting Liu, Shao-Yi Chien:
Tracklet-Refined Multi-Camera Tracking Based on Balanced Cross-Domain Re-Identification for Vehicles. 3983-3992 - Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen:
Good Practices and a Strong Baseline for Traffic Anomaly Detection. 3993-4001 - Jincheng Lu, Meng Xia, Xu Gao, Xipeng Yang, Tianran Tao, Hao Meng, Wei Zhang, Xiao Tan, Yifeng Shi, Guanbin Li, Errui Ding:
Robust and Online Vehicle Counting at Crowded Intersections. 4002-4008 - Viktor Kocur, Milan Ftácnik:
Multi-Class Multi-Movement Vehicle Counting Based on CenterTrack. 4009-4015 - Jingyuan Chen, Guanchen Ding, Yuchen Yang, Wenwei Han, Kangmin Xu, Tianyi Gao, Zhe Zhang, Wanping Ouyang, Hao Cai, Zhenzhong Chen:
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing. 4016-4025 - Minyue Jiang, Xuanmeng Zhang, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang:
Robust Vehicle Re-Identification via Rigid Structure Prior. 4026-4033 - Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. 4034-4043 - Jin Ye, Xipeng Yang, Shuai Kang, Yue He, Weiming Zhang, Leping Huang, Minyue Jiang, Wei Zhang, Yifeng Shi, Meng Xia, Xiao Tan:
A Robust MTMC Tracking System for AI-City Challenge 2021. 4044-4053 - Sangrok Lee, Taekang Woo, Sang Hun Lee:
SBNet: Segmentation-Based Network for Natural Language-Based Vehicle Search. 4054-4060 - Ziruo Sun, Xinfang Liu, Xiaopeng Bi, Xiushan Nie, Yilong Yin:
DUN: Dual-Path Temporal Matching Network for Natural Language-Based Vehicle Retrieval. 4061-4067 - Marta Fernandez, Paula Moral, Álvaro García-Martín, José M. Martínez:
Vehicle Re-Identification Based on Ensembling Deep Learning Features Including a Synthetic Training Dataset, Orientation and Background Features, and Camera Verification. 4068-4076 - Minghu Wu, Yeqiang Qian, Chunxiang Wang, Ming Yang:
A Multi-Camera Vehicle Tracking System Based on City-Scale Vehicle Re-ID and Spatial-Temporal Information. 4077-4086 - Duong Nguyen-Ngoc Tran, Long Hoang Pham, Huy-Hung Nguyen, Tai Huu-Phuong Tran, Hyung-Joon Jeon, Jae Wook Jeon:
A Region-and-Trajectory Movement Matching for Multiple Turn-Counts at Road Intersection on Edge Device. 4087-4094 - Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li:
An Empirical Study of Vehicle Re-Identification on the AI City Challenge. 4095-4102 - Yun-Lun Li, Zhi-Yi Chin, Ming-Ching Chang, Chen-Kuo Chiang:
Multi-Camera Tracking by Candidate Intersection Ratio Tracklet Matching. 4103-4111 - Jie Wu, Xionghui Wang, Xuefeng Xiao, Yitong Wang:
Box-Level Tube Tracking and Refinement for Vehicles Anomaly Detection. 4112-4118 - Synh Viet-Uyen Ha, Nhat Minh Chung, Cuong Tien Nguyen, Hung Ngoc Phan:
Tiny-PIRATE: A Tiny Model With Parallelized Intelligence for Real-Time Analysis as a Traffic countEr. 4119-4128 - Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen:
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones. 4129-4137 - Clint Sebastian, Raffaele Imbriaco, Panagiotis Meletis, Gijs Dubbelman, Egor Bondarev, Peter H. N. de With:
TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval. 4138-4146 - Su V. Huynh:
A Strong Baseline for Vehicle Re-Identification. 4147-4154 - Derek Gloudemans, Daniel B. Work:
Fast Vehicle Turning-Movement Counting Using Localization-Based Tracking. 4155-4164 - Tien-Phat Nguyen, Ba-Thinh Tran-Le, Xuan-Dang Thai, Tam V. Nguyen, Minh N. Do, Minh-Triet Tran:
Traffic Video Event Retrieval via Text Query Using Vehicle Appearance and Motion Attributes. 4165-4172 - Andreas Specker, Daniel Stadler, Lucas Florin, Jürgen Beyerer:
An Occlusion-Aware Multi-Target Multi-Camera Tracking System. 4173-4182 - Pirazh Khorramshahi, Sai Saketh Rambhatla, Rama Chellappa:
Towards Accurate Visual and Natural Language-Based Vehicle Retrieval Systems. 4183-4192 - Kyujin Shim, Sungjoon Yoon, Kangwook Ko, Changick Kim:
Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management. 4193-4200 - Yongli Sun, Wenpeng Li, Hua Wei, Longtao Zhang, Jiahao Tian, Guangze Sun, Gang Wang, Junliang Cao, Zhifeng Zhao, Junfeng Ding:
Progressive Data Mining and Adaptive Weighted Multi-Model Ensemble for Vehicle Re-Identification. 4201-4206 - Armstrong Aboah:
A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees. 4207-4212 - Pengfei Ren, Kang Lu, Yu Yang, Yun Yang, Guangze Sun, Wei Wang, Gang Wang, Junliang Cao, Zhifeng Zhao, Wei Liu:
Multi-Camera Vehicle Tracking System Based on Spatial-Temporal Filtering. 4213-4219 - Eun-Ju Park, Hoyoung Kim, Seonghwan Jeong, Byungkon Kang, YoungMin Kwon:
Keyword-Based Vehicle Retrieval. 4220-4227 - Vu-Hoang Tran, Le-Hoai-Hieu Dang, Chinh-Nghiep Nguyen, Ngoc-Hoang-Lam Le, Khanh-Phong Bui, Lam-Truong Dam, Quang-Thang Le, Dinh-Hiep Huynh:
Real-Time and Robust System for Counting Movement-Specific Vehicle at Crowded Intersections. 4228-4235 - Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. 4236-4244 - Tam Minh Nguyen, Quang Pham Huu, Linh Doan Bao, Hoang Viet Trinh, Viet Anh Nguyen, Viet-Hoang Phan:
Contrastive Learning for Natural Language-Based Vehicle Retrieval. 4245-4252 - Carmelo Scribano, Davide Sapienza, Giorgia Franchini, Micaela Verucchi, Marko Bertogna:
All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. 4253-4262 - Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. 4263-4273
Image Matching: Local Features and Beyond
- Daniel Koguciuk, Elahe Arani, Bahram Zonooz:
Perceptual Loss for Robust Unsupervised Homography Estimation. 4274-4283 - Ufuk Efe, Kutalmis Gokalp Ince, A. Aydin Alatan:
DFM: A Performance Baseline for Deep Feature Matching. 4284-4293
Perception Beyond the Visible Spectrum
- Angela F. Gao, Brandon Rasmussen, Peter Kulits, Eva L. Scheller, Rebecca N. Greenberger, Bethany L. Ehlmann:
Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared. 4294-4303 - Wenbo Zheng, Lan Yan, Fei-Yue Wang, Chao Gou:
Learning From the Web: Webly Supervised Meta-Learning for Masked Face Recognition. 4304-4313 - Maria Axelsson, Max Holmberg, Sabina Serra, Hannes Ovren, Michael Tulldahl:
Semantic Labeling of Lidar Point Clouds for UAV Applications. 4314-4321 - Ibrahim Batuhan Akkaya, Fazil Altinel, Ugur Halici:
Self-Training Guided Adversarial Domain Adaptation for Thermal Imagery. 4322-4331 - Sabari Nathan, Priya Kansal:
Leveraging Multi Scale Backbone With Multilevel Supervision for Thermal Image Super Resolution. 4332-4338 - Marc Ellenfeld, Sebastian Moosbauer, Rubén Cárdenes, Ulrich Klauck, Michael Teutsch:
Deep Fusion of Appearance and Frame Differencing for Motion Segmentation. 4339-4349 - Zheng Hu, Qiang Li, Gang Fu, Yuxiang Xing, Li Zhang:
Quad-DIP for X-Ray Cargo Image Decomposition. 4350-4358 - Rafael E. Rivadeneira, Ángel D. Sappa, Boris Xavier Vintimilla, Sabari Nathan, Priya Kansal, Armin Mehri, Parichehr Behjati Ardakani, Anurag Dalal, Aparna Akula, Darshika Sharma, Shashwat Pandey, Basant Kumar, Jiaxin Yao, Rongyuan Wu, Kai Feng, Ning Li, Yongqiang Zhao, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch, Feras Almasri, Thomas Vandamme, Olivier Debeir, Nolan B. Gutierrez, Quan H. Nguyen, William J. Beksi:
Thermal Image Super-Resolution Challenge - PBVS 2021. 4359-4367 - Kalpesh Prajapati, Vishal M. Chudasama, Heena Patel, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution. 4368-4377 - Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, Alexandra Branzan Albu, Kaan Ersahin, Todd Mudge, Stéphane Gauthier:
Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data. 4378-4387 - Andreas Brorsson, Markus Nordberg, David Gustafsson:
Reconstruction of CASSI-Raman Images With Machine-Learning. 4388-4395
Differential Geometry in Computer Vision and Machine Learning
- Chuan-Shen Hu, Yu-Min Chung:
A Sheaf and Topology Approach to Detecting Local Merging Relations in Digital Images. 4396-4405 - Robert D. Friedlander, Huizong Yang, Anthony J. Yezzi:
Uniting Stereo and Depth-From-Defocus: A Thin Lens-Based Variational Framework for Multiview Reconstruction. 4406-4415 - Juliane Braunsmann, Marko Rajkovic, Martin Rumpf, Benedikt Wirth:
Learning Low Bending and Low Distortion Manifold Embeddings. 4416-4424 - Emmanuel Hartman, Yashil Sukurdeep, Nicolas Charon, Eric Klassen, Martin Bauer:
Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves. 4425-4433 - James Matuk, Karthik Bharath, Oksana A. Chkrebtii, Sebastian Kurtek:
Geometric Empirical Bayesian Model for Classification of Functional Data Under Diverse Sampling Regimes. 4434-4442 - Youshan Zhang, Brian D. Davison:
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation. 4443-4452 - Navya Nagananda, Andreas E. Savakis:
GILDA++: Grassmann Incremental Linear Discriminant Analysis. 4453-4461 - Chao Chen, Anuj Srivastava:
SrvfRegNet: Elastic Function Registration Using Deep Neural Networks. 4462-4471 - Michael I. Miller, Jean Fan, Daniel Jacob Tward:
Multi Scale Diffeomorphic Metric Mapping of Spatial Transcriptomics Datasets. 4472-4480 - Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi:
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Functional Alignment. 4481-4489
Computer Vision in Sports
- Silvio Giancola, Bernard Ghanem:
Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts. 4490-4499 - Amir M. Rahimi, Kevin G. Lee, Amit Agarwal, Hyukseong Kwon, Rajan Bhattacharyya:
Toward Improving the Visual Characterization of Sport Activities With Abstracted Scene Graphs. 4500-4507 - Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam Jamshidi Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, Marc Van Droogenbroeck:
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. 4508-4519 - Yang Liu, Luiz G. Hafemann, Michael Jamieson, Mehrsan Javan:
Detecting and Matching Related Objects With One Proposal Multiple Predictions. 4520-4527 - Maria Koshkina, Hemanth Pidaparthy, James H. Elder:
Contrastive Learning for Sports Video: Unsupervised Player Classification. 4528-4536 - Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, Marc Van Droogenbroeck:
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of Their Representations for Action Spotting. 4537-4546 - William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera. 4547-4556 - Tsunehiko Tanaka, Edgar Simo-Serra:
LoL-V2T: Large-Scale Esports Video Description Dataset. 4557-4566 - Kanav Vats, Mehrnaz Fani, David A. Clausi, John S. Zelek:
Puck Localization and Multi-Task Event Recognition in Broadcast Hockey Videos. 4567-4575 - Kaustubh Milind Kulkarni, Sucheth Shenoy:
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation. 4576-4584 - Hemanth Pidaparthy, Michael H. Dowling, James H. Elder:
Automatic Play Segmentation of Hockey Videos. 4585-4593 - Zubair Martin, Sharief Hendricks, Amir Patel:
Automated Tackle Injury Risk Assessment in Contact-Based Sports - A Rugby Union Example. 4594-4603
Binary Networks for Computer Vision
- Arthur J. Redfern, Lijun Zhu, Molly K. Newquist:
BCNN: A Binary CNN With All Matrix Ops Quantized to 1 Bit Precision. 4604-4612 - Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia:
Adaptive Binary-Ternary Quantization. 4613-4618 - Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. 4619-4629 - Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
On the Application of Binary Neural Networks in Oblivious Inference. 4630-4639 - Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks With Equilibrium Propagation. 4640-4649 - Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks. 4650-4659 - Anastasiia Livochka, Alexander Shekhovtsov:
Initialization and Transfer Learning of Stochastic Binary Networks From Real-Valued Ones. 4660-4668
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