ECCV 2020
1358 papers
360(o) Camera Alignment via Segmentation
Benjamin Davidson, Mohsan S. Alvi, João F. Henriques 3D Bird Reconstruction: A Dataset, Model, and Shape Recovery from a Single View
Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros, Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis 3D Human Shape Reconstruction from a Polarization Image
Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong, Li Cheng 3D-Rotation-Equivariant Quaternion Neural Networks
Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang 3PointTM: Faster Measurement of High-Dimensional Transmission Matrices
Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan 6d Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab A Broader Study of Cross-Domain Few-Shot Learning
Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris A Closer Look at Generalisation in RAVEN
Steven Spratley, Krista Ehinger, Tim Miller A Closest Point Proposal for MCMC-Based Probabilistic Surface Registration
Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing A Metric Learning Reality Check
Kevin Musgrave, Serge Belongie, Ser-Nam Lim A Recurrent Transformer Network for Novel View Action Synthesis
Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed Accelerating CNN Training by Pruning Activation Gradients
Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen Accelerating Deep Learning with Millions of Classes
Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang Accurate Polarimetric BRDF for Real Polarization Scene Rendering
Yuhi Kondo, Taishi Ono, Legong Sun, Yasutaka Hirasawa, Jun Murayama Acquiring Dynamic Light Fields Through Coded Aperture Camera
Kohei Sakai, Keita Takahashi, Toshiaki Fujii, Hajime Nagahara Actions as Moving Points
Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu Active Crowd Counting with Limited Supervision
Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li Active Perception Using Light Curtains for Autonomous Driving
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held Active Visual Information Gathering for Vision-Language Navigation
Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen Adapting Object Detectors with Conditional Domain Normalization
Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu, Xiaogang Wang Adaptive Task Sampling for Meta-Learning
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi Adaptive Variance Based Label Distribution Learning for Facial Age Estimation
Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang Adaptive Video Highlight Detection by Learning from User History
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang Adversarial Continual Learning
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach Adversarial Data Augmentation via Deformation Statistics
Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer Adversarial Generative Grammars for Human Activity Prediction
Aj Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo Adversarial Ranking Attack and Defense
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua Adversarial Semantic Data Augmentation for Human Pose Estimation
Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang Adversarial T-Shirt! Evading Person Detectors in a Physical World
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting
Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo AE-OT-GAN: Training GANs from Data Specific Latent Distribution
Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu AiR: Attention with Reasoning Capability
Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao Aligning and Projecting Images to Class-Conditional Generative Networks
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann Aligning Videos in Space and Time
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N Plataniotis ALRe: Outlier Detection for Guided Refinement
Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu An Asymmetric Modeling for Action Assessment
Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang, Wei Zeng, Jianhuang Lai An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images
Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao Angle-Based Search Space Shrinking for Neural Architecture Search
Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann API-Net: Robust Generative Classifier via a Single Discriminator
Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian Appearance Consensus Driven Self-Supervised Human Mesh Recovery
Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer AR-Net: Adaptive Frame Resolution for Efficient Action Recognition
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris Are Labels Necessary for Neural Architecture Search?
Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie Associative Alignment for Few-Shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné Atlas: End-to-End 3D Scene Reconstruction from Posed Images
Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich Attention Guided Anomaly Localization in Images
Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis Attention-Based Query Expansion Learning
Albert Gordo, Filip Radenovic, Tamara Berg AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, Aj Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua Attentive Normalization
Xilai Li, Wei Sun, Tianfu Wu Attributional Robustness Training Using Input-Gradient Spatial Alignment
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy AutoSimulate: (Quickly) Learning Synthetic Data Generation
Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet AutoSTR: Efficient Backbone Search for Scene Text Recognition
Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen Backpropagated Gradient Representations for Anomaly Detection
Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib BATS: Binary ArchitecTure Search
Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos BCNet: Learning Body and Cloth Shape from a Single Image
Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction
Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes
Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding
Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma, Hongdong Li BézierSketch: A Generative Model for Scalable Vector Sketches
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out
Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby BigNAS: Scaling up Neural Architecture Search with Big Single-Stage Models
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le Binarized Neural Network for Single Image Super Resolution
Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao Blended Grammar Network for Human Parsing
Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang Blind Face Restoration via Deep Multi-Scale Component Dictionaries
Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang BLSM: A Bone-Level Skinned Model of the Human Mesh
Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou BorderDet: Border Feature for Dense Object Detection
Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun Bottom-up Temporal Action Localization with Mutual Regularization
Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian Boundary-Preserving Mask R-CNN
Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu Bounding-Box Channels for Visual Relationship Detection
Sho Inayoshi, Keita Otani, Antonio Tejero-de-Pablos, Tatsuya Harada BSL-1K: Scaling up Co-Articulated Sign Language Recognition Using Mouthing Cues
Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman Burst Denoising via Temporally Shifted Wavelet Transforms
Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian CAD-Deform: Deformable Fitting of CAD Models to 3D Scans
Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev, Matthias Niessner, Denis Zorin, Evgeny Burnaev Captioning Images Taken by People Who Are Blind
Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search
Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu Challenge-Aware RGBT Tracking
Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang Channel Selection Using Gumbel SoftMax
Charles Herrmann, Richard Strong Bowen, Ramin Zabih Character Region Attention for Text Spotting
Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee, Daehyun Nam, Hwalsuk Lee Character-Preserving Coherent Story Visualization
Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai Circumventing Outliers of AutoAugment with Knowledge Distillation
Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian Class-Incremental Domain Adaptation
Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu Class-Wise Dynamic Graph Convolution for Semantic Segmentation
Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan CLOTH3D: Clothed 3D Humans
Hugo Bertiche, Meysam Madadi, Sergio Escalera CN: Channel Normalization for Point Cloud Recognition
Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia Colorization of Depth mAP via Disentanglement
Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu Component Divide-and-Conquer for Real-World Image Super-Resolution
Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin Conditional Entropy Coding for Efficient Video Compression
Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun CONFIG: Controllable Neural Face Image Generation
Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
Shasha Li, Shitong Zhu, Sudipta Paul, Amit Roy-Chowdhury, Chengyu Song, Srikanth Krishnamurthy, Ananthram Swami, Kevin S Chan Connecting Vision and Language with Localized Narratives
Jordi Pont-Tuset, Jasper Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari Consistency Guided Scene Flow Estimation
Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu Contact and Human Dynamics from Monocular Video
Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang ContactPose: A Dataset of Grasps with Object Contact and Hand Pose
Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays Content Adaptive and Error Propagation Aware Deep Video Compression
Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu, Zhiyong Gao Content-Aware Unsupervised Deep Homography Estimation
Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun Context-Aware RCNN: A Baseline for Action Detection in Videos
Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu Context-Gated Convolution
Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang Contextual Diversity for Active Learning
Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora Contrastive Learning for Weakly Supervised Phrase Grounding
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola Controllable Image Synthesis via SegVAE
Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang Convolutional Occupancy Networks
Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian Corner Proposal Network for Anchor-Free, Two-Stage Object Detection
Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos
Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng, Bing Zheng Count- and Similarity-Aware R-CNN for Pedestrian Detection
Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler
Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang Cross-Domain Cascaded Deep Translation
Oren Katzir, Dani Lischinski, Daniel Cohen-Or Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou Crowdsampling the Plenoptic Function
Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely Curriculum DeepSDF
Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas CycAs: Self-Supervised Cycle Association for Learning Re-Identifiable Descriptions
Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang DADA: Differentiable Automatic Data Augmentation
Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images
Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han Deep Feedback Inverse Problem Solver
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius Deep Hough-Transform Line Priors
Yancong Lin, Silvia L. Pintea, Jan C. van Gemert Deep Image Clustering with Category-Style Representation
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe Deep Multi Depth Panoramas for View Synthesis
Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi Deep Shape from Polarization
Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi Deep Space-Time Video Upsampling Networks
Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim Deep Transferring Quantization
Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan Deep Vectorization of Technical Drawings
Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, Jan Kautz DeepLandscape: Adversarial Modeling of Landscape Videos
Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky DeepSFM: Structure from Motion via Deep Bundle Adjustment
Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue Deformable Style Transfer
Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich Deformation-Aware 3D Model Embedding and Retrieval
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt Dense Hybrid Recurrent Multi-View Stereo Net with Dynamic Consistency Checking
Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai Dense RepPoints: Representing Visual Objects with Dense Point Sets
Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu Detecting Natural Disasters, Damage, and Incidents in the Wild
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba DHP: Differentiable Meta Pruning via HyperNetworks
Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte Differentiable Feature Aggregation Search for Knowledge Distillation
Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation
Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model
John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya Diffraction Line Imaging
Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan Disambiguating Monocular Depth Estimation with a Single Transient
Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein Discriminative Partial Domain Adversarial Network
Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung Disentangled Non-Local Neural Networks
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen Dive Deeper into Box for Object Detection
Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai Diverse and Admissible Trajectory Prediction Through Multimodal Context Understanding
Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, Louis-Philippe Morency Do Not Disturb Me: Person Re-Identification Under the Interference of Other Pedestrians
Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun Domain Adaptation Through Task Distillation
Brady Zhou, Nimit Kalra, Philipp Krähenbühl Domain Adaptive Semantic Segmentation Using Weak Labels
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker Domain-Invariant Stereo Matching Networks
Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr DOPE: Distillation of Part Experts for Whole-Body 3D Pose Estimation in the Wild
Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez DSDNet: Deep Structured Self-Driving Network
Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg Dual Adversarial Network for Deep Active Learning
Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng DVI: Depth Guided Video Inpainting for Autonomous Driving
Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu Dynamic Low-Light Imaging with Quanta Image Sensors
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan Dynamic ReLU
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole Efficient Scale-Permuted Backbone with Learned Resource Distribution
Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song Enabling Deep Residual Networks for Weakly Supervised Object Detection
Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao End-to-End Dynamic Matching Network for Multi-View Multi-Person 3D Pose Estimation
Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko Energy-Based Models for Deep Probabilistic Regression
Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön Enhanced Sparse Model for Blind Deblurring
Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation
Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2] Event Enhanced High-Quality Image Recovery
Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang Event-Based Asynchronous Sparse Convolutional Networks
Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza Explainable Face Recognition
Jonathan R. Williford, Brandon B. May, Jeffrey Byrne Expressive Telepresence via Modular Codec Avatars
Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh Face Anti-Spoofing via Disentangled Representation Learning
Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma Face Anti-Spoofing with Human Material Perception
Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao Face Super-Resolution Guided by 3D Facial Priors
Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu Fairness by Learning Orthogonal Disentangled Representations
Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
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Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky Faster Person Re-Identification
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Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun Feature Space Augmentation for Long-Tailed Data
Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling Few-Shot Action Recognition with Permutation-Invariant Attention
Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz Few-Shot Compositional Font Generation with Dual Memory
Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee Few-Shot Scene-Adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang Few-Shot Semantic Segmentation with Democratic Attention Networks
Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
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Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe Fixing Localization Errors to Improve Image Classification
Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool Flow-Edge Guided Video Completion
Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf Foley Music: Learning to Generate Music from Videos
Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba ForkGAN: Seeing into the Rainy Night
Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi Free View Synthesis
Gernot Riegler, Vladlen Koltun FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras
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Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas Gabor Layers Enhance Network Robustness
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Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images
Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas GeLaTO: Generative Latent Textured Objects
Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe General 3D Room Layout from a Single View by Render-and-Compare
Sinisa Stekovic, Shreyas Hampali, Mahdi Rad, Sayan Deb Sarkar, Friedrich Fraundorfer, Vincent Lepetit Generating Videos of Zero-Shot Compositions of Actions and Objects
Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori Generative Low-Bitwidth Data Free Quantization
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Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit Geometric Estimation via Robust Subspace Recovery
Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma Geometry Constrained Weakly Supervised Object Localization
Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan GINet: Graph Interaction Network for Scene Parsing
Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo GIQA: Generated Image Quality Assessment
Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu, Yun-Hui Liu GRAB: A Dataset of Whole-Body Human Grasping of Objects
Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas Gradient-Induced Co-Saliency Detection
Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng Graph Wasserstein Correlation Analysis for Movie Retrieval
Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang Graph-Based Social Relation Reasoning
Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou GRNet: Gridding Residual Network for Dense Point Cloud Completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun Grounded Situation Recognition
Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi Guided Deep Decoder: Unsupervised Image Pair Fusion
Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He Guided Semantic Flow
Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn Guiding Monocular Depth Estimation Using Depth-Attention Volume
Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä Hallucinating Visual Instances in Total Absentia
Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao HALO: Hardware-Aware Learning to Optimize
Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin Handcrafted Outlier Detection Revisited
Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys Hard Negative Examples Are Hard, but Useful
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Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee Highly Efficient Salient Object Detection with 100k Parameters
Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization
Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt Human Correspondence Consensus for 3D Object Semantic Understanding
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Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation
Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev Imaging Behind Occluders Using Two-Bounce Light
Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun Improving 3D Object Detection Through Progressive Population Based Augmentation
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Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung Improving Deep Video Compression by Resolution-Adaptive Flow Coding
Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu Improving Face Recognition by Clustering Unlabeled Faces in the Wild
Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker Improving Face Recognition from Hard Samples via Distribution Distillation Loss
Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji Improving Knowledge Distillation via Category Structure
Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao Improving Optical Flow on a Pyramid Level
Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder Improving Query Efficiency of Black-Box Adversarial Attack
Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment
Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto Inequality-Constrained and Robust 3D Face Model Fitting
Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunc Inference Graphs for CNN Interpretation
Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel Infrastructure-Based Multi-Camera Calibration Using Radial Projections
Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler Instance-Aware Embedding for Point Cloud Instance Segmentation
Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun Interpretable Neural Network Decoupling
Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao Invertible Image Rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu Invertible Zero-Shot Recognition Flows
Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon Joint Bilateral Learning for Real-Time Universal Photorealistic Style Transfer
Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis, Jiawen Chen Joint Learning of Social Groups, Individuals Action and Sub-Group Activities in Videos
Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid, Hamid Rezatofighi Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed
Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht Jointly Learning Visual Motion and Confidence from Local Patches in Event Cameras
Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee Journey Towards Tiny Perceptual Super-Resolution
Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-Scale Pathological CT Scans
Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P. Harrison Kinematic 3D Object Detection in Monocular Video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele Knowledge Distillation Meets Self-Supervision
Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions
Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji Label-Similarity Curriculum Learning
Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel Large Batch Optimization for Object Detection: Training COCO in 12 Minutes
Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang Large Scale Holistic Video Understanding
Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool Laying the Foundations of Deep Long-Term Crowd Flow Prediction
Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia Learn Distributed GAN with Temporary Discriminators
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas Learn to Propagate Reliably on Noisy Affinity Graphs
Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin Learn to Recover Visible Color for Video Surveillance in a Day
Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki Learnable Cost Volume Using the Cayley Representation
Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang Learning 3D Part Assembly from a Single Image
Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas Learning Actionness via Long-Range Temporal Order Verification
Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic Learning Architectures for Binary Networks
Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi Learning Camera-Aware Noise Models
Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen Learning Canonical Representations for Scene Graph to Image Generation
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson Learning Data Augmentation Strategies for Object Detection
Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le Learning Delicate Local Representations for Multi-Person Pose Estimation
Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan Learning Enriched Features for Real Image Restoration and Enhancement
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao Learning Event-Driven Video Deblurring and Interpolation
Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren Learning Feature Descriptors Using Camera Pose Supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely Learning Gradient Fields for Shape Generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan Learning Lane Graph Representations for Motion Forecasting
Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun Learning Object Permanence from Video
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian Learning Predictive Models from Observation and Interaction
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn Learning Progressive Joint Propagation for Human Motion Prediction
Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann Learning Propagation Rules for Attribution mAP Generation
Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang Learning Semantic Neural Tree for Human Parsing
Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu Learning Stereo from Single Images
Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman Learning to Cluster Under Domain Shift
Willi Menapace, Stéphane Lathuilière, Elisa Ricci Learning to Count in the Crowd from Limited Labeled Data
Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel Learning to Factorize and Relight a City
Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely Learning to Generate Customized Dynamic 3D Facial Expressions
Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou Learning to Generate Grounded Visual Captions Without Localization Supervision
Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira Learning to Learn in a Semi-Supervised Fashion
Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang Learning to Learn with Variational Information Bottleneck for Domain Generalization
Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao Learning to Learn Words from Visual Scenes
Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick Learning to Localize Actions from Moments
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei Learning to Plan with Uncertain Topological Maps
Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf Learning to Scale Multilingual Representations for Vision-Language Tasks
Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer Learning to See in the Dark with Events
Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou Learning Visual Context by Comparison
Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo Learning What to Learn for Video Object Segmentation
Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte Learning Where to Focus for Efficient Video Object Detection
Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan Learning with Noisy Class Labels for Instance Segmentation
Longrong Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Qishang Cheng Length-Controllable Image Captioning
Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and Its Application for Human Detection
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Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning
Valentina Sanguineti, Pietro Morerio, Niccolò Pozzetti, Danilo Greco, Marco Cristani, Vittorio Murino Lifespan Age Transformation Synthesis
Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman Linguistic Structure Guided Context Modeling for Referring Image Segmentation
Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen Local Correlation Consistency for Knowledge Distillation
Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian Localizing the Common Action Among a Few Videos
Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek Location Sensitive Image Retrieval and Tagging
Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas Long-Term Human Motion Prediction with Scene Context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik Look Here! a Parametric Learning Based Approach to Redirect Visual Attention
Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii Making Affine Correspondences Work in Camera Geometry Computation
Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomas Pajdla, Zuzana Kukelova Mapillary Planet-Scale Depth Dataset
Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder Margin-Mix: Semi–Supervised Learning for Face Expression Recognition
Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan Matching Guided Distillation
Kaiyu Yue, Jiangfan Deng, Feng Zhou MatryODShka: Real-Time 6DoF Video View Synthesis Using Multi-Sphere Images
Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation
Kaisiyuan Wang Qianyi Wu Linsen Song Zhuoqian Yang Wayne Wu Chen Qian Ran He Yu Qiao Chen Change Loy Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation Under Hand-Object Interaction
Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren, Weiting Huang, Haifeng Sun, Marek Hrúz, Jakub Kanis, Zdeněk Krňoul, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim Measuring the Importance of Temporal Features in Video Saliency
Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge Memory Selection Network for Video Propagation
Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia MessyTable: Instance Association in Multiple Camera Views
Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy Meta-Learning with Network Pruning
Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters
Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis Modeling 3D Shapes by Reinforcement Learning
Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner Modeling Artistic Workflows for Image Generation and Editing
Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang Monocular 3D Object Detection via Feature Domain Adaptation
Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon Monocular Expressive Body Regression Through Body-Driven Attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas, Michael J. Black Monocular Real-Time Volumetric Performance Capture
Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olsewski, Hao Li Monotonicity Prior for Cloud Tomography
Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner Motion Capture from Internet Videos
Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao Motion Guided 3D Pose Estimation from Videos
Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin MovieNet: A Holistic Dataset for Movie Understanding
Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin MPCC: Matching Priors and Conditionals for Clustering
Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez Multi-Modal Transformer for Video Retrieval
Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid Multi-Source Open-Set Deep Adversarial Domain Adaptation
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Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification
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Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu, Xiaolong Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao, David Doermann NASA Neural Articulated Shape Approximation
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Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints
Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, Christian Theobalt Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang Neural Hair Rendering
Menglei Chai, Jian Ren, Sergey Tulyakov Neural Point-Based Graphics
Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky Neural Predictor for Neural Architecture Search
Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans Neural Re-Rendering of Humans from a Single Image
Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt Neural Voice Puppetry: Audio-Driven Facial Reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner NODIS: Neural Ordinary Differential Scene Understanding
Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn Non-Local Spatial Propagation Network for Depth Completion
Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon Null-Sampling for Interpretable and Fair Representations
Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto Object Detection with a Unified Label Space from Multiple Datasets
Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu Object-and-Action Aware Model for Visual Language Navigation
Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu Occlusion-Aware Siamese Network for Human Pose Estimation
Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, Hanqing Lu Ocean: Object-Aware Anchor-Free Tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu Bing Li, Weiming Hu Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink Omni-Sourced Webly-Supervised Learning for Video Recognition
Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin On Modulating the Gradient for Meta-Learning
Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi On Transferability of Histological Tissue Labels in Computational Pathology
Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis One-Shot Unsupervised Cross-Domain Detection
Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi Online Continual Learning Under Extreme Memory Constraints
Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci Online Invariance Selection for Local Feature Descriptors
Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys Online Multi-Modal Person Search in Videos
Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li Open-Set Adversarial Defense
Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel Orderly Disorder in Point Cloud Domain
Bernard Tiddeman, Yonghuai Liu, Morteza Ghahremani, Ardhendu Behera Oscar: Object-Semantics Aligned Pre-Training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao PackDet: Packed Long-Head Object Detector
Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots PAMS: Quantized Super-Resolution via Parameterized Max Scale
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch Patch-Wise Attack for Fooling Deep Neural Network
Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt PatchPerPix for Instance Segmentation
Peter Hirsch Lisa Mais, Dagmar Kainmueller Peeking into Occluded Joints: A Novel Framework for Crowd Pose Estimation
Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui People as Scene Probes
Yifan Wang, Brian L. Curless, Steven M. Seitz Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa PG-Net: Pixel to Global Matching Network for Visual Tracking
Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin Photon-Efficient 3D Imaging with a Non-Local Neural Network
Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori Pillar-Based Object Detection for Autonomous Driving
Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon PiP: Planning-Informed Trajectory Prediction for Autonomous Driving
Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle PointContrast: Unsupervised Pre-Training for 3D Point Cloud Understanding
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany PointMixup: Augmentation for Point Clouds
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Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer Polarimetric Multi-View Inverse Rendering
Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi Polarized Optical-Flow Gyroscope
Masada Tzabari, Yoav Y. Schechner Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun Powering One-Shot Topological NAS with Stabilized Share-Parameter Proxy
Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan Practical Deep Raw Image Denoising on Mobile Devices
Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings
Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov Prime-Aware Adaptive Distillation
Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei Principal Feature Visualisation in Convolutional Neural Networks
Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge Privacy Preserving Structure-from-Motion
Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys Privacy Preserving Visual SLAM
Mikiya Shibuya, Shinya Sumikura, Ken Sakurada Probabilistic Future Prediction for Video Scene Understanding
Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall Procedure Planning in Instructional Videos
Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles Proposal-Based Video Completion
Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand, Manmohan Chandraker Pyramid Multi-View Stereo Net with Self-Adaptive View Aggregation
Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai Quantization Guided JPEG Artifact Correction
Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari QuEST: Quantized Embedding Space for Transferring Knowledge
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord RANSAC-Flow: Generic Two-Stage Image Alignment
Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry Reconstructing NBA Players
Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman Reconstructing the Noise Variance Manifold for Image Denoising
Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony Region Graph Embedding Network for Zero-Shot Learning
Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao Regression of Instance Boundary by Aggregated CNN and GCN
Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng Regularization with Latent Space Virtual Adversarial Training
Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide REMIND Your Neural Network to Prevent Catastrophic Forgetting
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan Renovating Parsing R-CNN for Accurate Multiple Human Parsing
Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool Representation Sharing for Fast Object Detector Search and Beyond
Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang Representative Graph Neural Network
Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need?
Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola Rethinking Pseudo-LiDAR Representation
Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang Rethinking the Distribution Gap of Person Re-Identification with Camera-Based Batch Normalization
Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, Qi Tian RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang Rewriting a Deep Generative Model
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods
Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim Robust Tracking Against Adversarial Attacks
Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition
Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding
Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi SCAN: Learning to Classify Images Without Labels
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool Scene Text Image Super-Resolution in the Wild
Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches
Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation
Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang Segmenting Transparent Objects in the Wild
Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo Self-Adapting Confidence Estimation for Stereo
Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia Self-Similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu Self-Supervised Learning of Audio-Visual Objects from Video
Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman Self-Supervised Outdoor Scene Relighting
Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith Self-Supervised Single-View 3D Reconstruction via Semantic Consistency
Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz Self6D: Self-Supervised Monocular 6d Object Pose Estimation
Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, Federico Tombari Semantic Curiosity for Active Visual Learning
Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta Semantic Flow for Fast and Accurate Scene Parsing
Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, Yunhai Tong Semantic View Synthesis
Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang Semi-Siamese Training for Shallow Face Learning
Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei Semi-Supervised Segmentation Based on Error-Correcting Supervision
Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira, Sushma Rao, Gilad Michael SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks
Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen Sequential Deformation for Accurate Scene Text Detection
Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte SF-Net: Single-Frame Supervision for Temporal Action Localization
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou Shape Adaptor: A Learnable Resizing Module
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns Shape and Viewpoint Without Keypoints
Shubham Goel, Angjoo Kanazawa, Jitendra Malik Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)
Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone Short-Term and Long-Term Context Aggregation Network for Video Inpainting
Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri Shuffle and Attend: Video Domain Adaptation
Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang Side-Aware Boundary Localization for More Precise Object Detection
Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik Single Image Super-Resolution via a Holistic Attention Network
Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen Single Path One-Shot Neural Architecture Search with Uniform Sampling
Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun Single View Metrology in the Wild
Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker Single-Image Depth Prediction Makes Feature Matching Easier
Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao Sketch-Guided Object Localization in Natural Images
Rajath R. Dani, Anand Mishra Aditay Tripathi, Anirban Chakraborty SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
N N Sriram, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker SODA: Story Oriented Dense Video Captioning Evaluation Framework
Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata Soft Anchor-Point Object Detection
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides SOLAR: Second-Order Loss and Attention for Image Retrieval
Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk SOLO: Segmenting Objects by Locations
Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li SoundSpaces: Audio-Visual Navigation in 3D Environments
Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, Changan Chen, Kristen Grauman SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking
Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu Sparse Adversarial Attack via Perturbation Factorization
Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu Spatial-Angular Interaction for Light Field Image Super-Resolution
Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo Spatially Aware Multimodal Transformers for TextVQA
Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal Spatiotemporal Attacks for Embodied Agents
Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy Spiral Generative Network for Image Extrapolation
Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka SSCGAN: Facial Attribute Editing via Style Skip Connections
Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos
Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction
Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan Streaming Object Detection for 3-D Point Clouds
Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen Structure-Aware Human-Action Generation
Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen Structured Landmark Detection via Topology-Adapting Deep Graph Learning
Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao Supervised Edge Attention Network for Accurate Image Instance Segmentation
Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling Suppressing Mislabeled Data via Grouping and Self-Attention
Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification
Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra, Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha Talking-Head Generation with Rhythmic Head Motion
Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu TANet: Towards Fully Automatic Tooth Arrangement
Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang TAO: A Large-Scale Benchmark for Tracking Any Object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan Targeted Attack for Deep Hashing Based Retrieval
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang Temporal Distinct Representation Learning for Action Recognition
Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan Tensor Low-Rank Reconstruction for Semantic Segmentation
Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu Testing the Safety of Self-Driving Vehicles by Simulating Perception and Prediction
Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
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Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl TRADI: Tracking Deep Neural Network Weight Distributions
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Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy Two Stream Active Query Suggestion for Active Learning in Connectomics
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Richard Droste, Jianbo Jiao, J. Alison Noble UNITER: UNiversal Image-TExt Representation Learning
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Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger Video Object Detection via Object-Level Temporal Aggregation
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