ICCV 2021

1,612 papers

Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning

Lin Zhao, Shao-Ping Lu, Tao Chen, Zhenglu Yang, Ariel Shamir

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool

OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild

Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen

Square Root Marginalization for Sliding-Window Bundle Adjustment

Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko

Robustness Certification for Point Cloud Models

Tobias Lorenz, Anian Ruoss, Mislav Balunovic, Gagandeep Singh, Martin Vechev

Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space

Wuwei Ge, Yu Song, Baichao Zhang, Zehua Dong

Relational Embedding for Few-Shot Classification

Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho

Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification

Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng

Unsupervised Point Cloud Object Co-Segmentation by Co-Contrastive Learning and Mutual Attention Sampling

Cheng-Kun Yang, Yung-Yu Chuang, Yen-yu Lin

Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images

Yuan Rao, Jiangqun Ni

SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation

Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman

Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos

Yuming Du, Yang Xiao, Vincent Lepetit

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei

T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging

Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth

Discovering Human Interactions With Large-Vocabulary Objects via Query and Multi-Scale Detection

Suchen Wang, Kim-Hui Yap, Henghui Ding, Jiyan Wu, Junsong Yuan

Fast Convergence of DETR With Spatially Modulated Co-Attention

peng gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, hongsheng Li

Q-Match: Iterative Shape Matching via Quantum Annealing

Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt

Defending Against Universal Adversarial Patches by Clipping Feature Norms

Cheng Yu, Jiansheng Chen, Youze Xue, Yuyang Liu, Weitao Wan

Manifold Alignment for Semantically Aligned Style Transfer

Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai

Unsupervised Layered Image Decomposition Into Object Prototypes

Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry

Practical Relative Order Attack in Deep Ranking

Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou

From General to Specific: Informative Scene Graph Generation via Balance Adjustment

Yuyu Guo, Lianli Gao, Xuanhan Wang, Yuxuan Hu, Xing Xu

Multi-View 3D Reconstruction With Transformers

Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi

Channel-Wise Knowledge Distillation for Dense Prediction

Changyong Shu, Yifan liu, Jianfei Gao, Zheng Yan, Chunhua Shen

From Contexts to Locality: Ultra-High Resolution Image Segmentation via Locality-Aware Contextual Correlation

Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He

Learning Spatio-Temporal Transformer for Visual Tracking

Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu

SLIDE: Single Image 3D Photography With Soft Layering and Depth-Aware Inpainting

Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker

Statistically Consistent Saliency Estimation

Shunyan Luo, Emre Barut, Fang Jin

Motion Guided Attention Fusion To Recognize Interactions From Videos

Tae Soo Kim, Jonathan Jones, Gregory D. Hager

Improving Generalization of Batch Whitening by Convolutional Unit Optimization

Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim

ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency

Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He

Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving

Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li

Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing

Abdallah Dib, Cédric Thébault, Junghyun Ahn, Philippe-Henri Gosselin, Christian Theobalt

Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme

Xi Yang, Wangmeng Xiang, Hui Zeng, Lei Zhang

Divide and Conquer for Single-Frame Temporal Action Localization

Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang

A Machine Teaching Framework for Scalable Recognition

Pei Wang, Nuno Vasconcelos

Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher

Yichen Zhu, Yi Wang

BuildingNet: Learning To Label 3D Buildings

Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou

T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation

Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu

Learning of Visual Relations: The Devil Is in the Tails

Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos

Region Similarity Representation Learning

Tete Xiao, Colorado J Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell

Neural Articulated Radiance Field

Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada

Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering

Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin

PointBA: Towards Backdoor Attacks in 3D Point Cloud

Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao

A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li

Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor Spaces

Janghun Hyeon, Joohyung Kim, Nakju Doh

Learning Signed Distance Field for Multi-View Surface Reconstruction

Jingyang Zhang, Yao Yao, Long Quan

Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation

Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo

PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization

Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende

CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds

Eric-Tuan Le, Minhyuk Sung, Duygu Ceylan, Radomir Mech, Tamy Boubekeur

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang

VLGrammar: Grounded Grammar Induction of Vision and Language

Yining Hong, Qing Li, Song-chun Zhu, Siyuan Huang

FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition

Lei Fan, Peixi Xiong, Wei Wei, Ying Wu

CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis

Yi Zhou, Lei Huang, Tao Zhou, Ling Shao

PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds

Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet

BlockPlanner: City Block Generation With Vectorized Graph Representation

Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai

Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction

Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci

Switchable K-Class Hyperplanes for Noise-Robust Representation Learning

Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu

Who's Waldo? Linking People Across Text and Images

Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor

Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation

Gihyun Kwon, Jong Chul Ye

N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras

Junho Kim, Jaehyeok Bae, Gangin Park, Dongsu Zhang, Young Min Kim

Self-Supervised Pretraining of 3D Features on Any Point-Cloud

Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra

Enhanced Boundary Learning for Glass-Like Object Segmentation

Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong

Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition

Rasha Friji, Hassen Drira, Faten Chaieb, Hamza Kchok, Sebastian Kurtek

Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation

Zhenbo Yu, Bingbing Ni, Jingwei Xu, Junjie Wang, Chenglong Zhao

Kernel Methods in Hyperbolic Spaces

Pengfei Fang, Mehrtash Harandi, Lars Petersson

Cross-Camera Convolutional Color Constancy

Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel

A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation

Khoi Nguyen, Sinisa Todorovic

RGB-D Saliency Detection via Cascaded Mutual Information Minimization

Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong

High-Resolution Optical Flow From 1D Attention and Correlation

Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong

ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation

Octave Mariotti, Oisin Mac Aodha, Hakan Bilen

Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation

Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang

Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning

Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang

Structure-Preserving Deraining With Residue Channel Prior Guidance

Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang

ELF-VC: Efficient Learned Flexible-Rate Video Coding

Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle

ICON: Learning Regular Maps Through Inverse Consistency

Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Marc Niethammer

Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing

Krishna Regmi, Mubarak Shah

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors

Osama Makansi, Ozgun Cicek, Yassine Marrakchi, Thomas Brox

EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers

Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher Twigg

Exploring Long Tail Visual Relationship Recognition With Large Vocabulary

Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang

Vision Transformer With Progressive Sampling

Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H.S. Torr

Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces

Jianhe Yuan, Zhihai He

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation

Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos

OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution

Eric Nguyen, Tu Bui, Viswanathan Swaminathan, John Collomosse

Unaligned Image-to-Image Translation by Learning to Reweight

Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang

Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective

Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang

Unpaired Learning for High Dynamic Range Image Tone Mapping

Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal

Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition

Ge Gao, Pei You, Rong Pan, Shunyuan Han, Yuanyuan Zhang

The Right To Talk: An Audio-Visual Transformer Approach

Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai

Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts

Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu

Dynamic Surface Function Networks for Clothed Human Bodies

Andrei Burov, Matthias Nießner, Justus Thies

PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks

Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla

A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction

Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon

Cascade Image Matting With Deformable Graph Refinement

Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen

Task-Aware Part Mining Network for Few-Shot Learning

Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran