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ORCIDCVPR 2021 - 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