Presentation Schedule
All times are in Central time zone
Date: Wednesday, June 22, 2022 10:00AM – 12:30PM
| Session Title | Poster ID | Title | Authors |
| Low-Level Vision | 55a | Image Dehazing Transformer With Transmission-Aware 3D Position Embedding |
Chun-Le Guo; Qixin Yan; Saeed Anwar; Runmin Cong; Wenqi Ren; Chongyi Li |
| 56a | Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity |
Yuntong Ye; Changfeng Yu; Yi Chang; Lin Zhu; Xi-Le Zhao; Luxin Yan; Yonghong Tian |
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57a | Towards Multi-Domain Single Image Dehazing via Test-Time Training |
Huan Liu; Zijun Wu; Liangyan Li; Sadaf Salehkalaibar; Jun Chen; Keyan Wang |
| 58a | Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal |
Yi Li; Yi Chang; Yan Gao; Changfeng Yu; Luxin Yan |
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| 59a | Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment |
Yue Cao; Zhaolin Wan; Dongwei Ren; Zifei Yan; Wangmeng Zuo |
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| 60a | Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain |
Lina Guo; Xinjie Shi; Dailan He; Yuanyuan Wang; Rui Ma; Hongwei Qin; Yan Wang |
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| 61a | Neural Compression-Based Feature Learning for Video Restoration |
Cong Huang; Jiahao Li; Bin Li; Dong Liu; Yan Lu |
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| 62a | Bi-Directional Object-Context Prioritization Learning for Saliency Ranking |
Xin Tian; Ke Xu; Xin Yang; Lin Du; Baocai Yin; Rynson W.H. Lau |
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| 63a | Pixel Screening Based Intermediate Correction for Blind Deblurring |
Meina Zhang; Yingying Fang; Guoxi Ni; Tieyong Zeng |
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| 64a | URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement |
Wenhui Wu; Jian Weng; Pingping Zhang; Xu Wang; Wenhan Yang; Jianmin Jiang |
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| 65a | A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-Resolution | Jianqi Ma; Zhetong Liang; Lei Zhang | |
| 66a | Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction |
Zhihao Hu; Guo Lu; Jinyang Guo; Shan Liu; Wei Jiang; Dong Xu |
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| 67a | Task Decoupled Framework for Reference-Based Super-Resolution |
Yixuan Huang; Xiaoyun Zhang; Yu Fu; Siheng Chen; Ya Zhang; Yan-Feng Wang; Dazhi He |
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| 68a | Learning Semantic Associations for Mirror Detection |
Huankang Guan; Jiaying Lin; Rynson W.H. Lau |
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| 69a | SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches | Yu Zeng; Zhe Lin; Vishal M. Patel | |
| 70a | Investigating Tradeoffs in Real-World Video Super-Resolution |
Kelvin C.K. Chan; Shangchen Zhou; Xiangyu Xu; Chen Change Loy |
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| 71a | BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment |
Kelvin C.K. Chan; Shangchen Zhou; Xiangyu Xu; Chen Change Loy |
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| 72a | Inertia-Guided Flow Completion and Style Fusion for Video Inpainting | Kaidong Zhang; Jingjing Fu; Dong Liu | |
| 73a | Joint Global and Local Hierarchical Priors for Learned Image Compression |
Jun-Hyuk Kim; Byeongho Heo; Jong-Seok Lee |
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| 74a | Reflash Dropout in Image Super-Resolution |
Xiangtao Kong; Xina Liu; Jinjin Gu; Yu Qiao; Chao Dong |
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| 75a | Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond |
Yi Yu; Wenhan Yang; Yap-Peng Tan; Alex C. Kot |
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| 76a | Dreaming To Prune Image Deraining Networks |
Weiqi Zou; Yang Wang; Xueyang Fu; Yang Cao |
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| 77a | LC-FDNet: Learned Lossless Image Compression With Frequency Decomposition Network |
Hochang Rhee; Yeong Il Jang; Seyun Kim; Nam Ik Cho |
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| 78a | Exposure Normalization and Compensation for Multiple-Exposure Correction |
Jie Huang; Yajing Liu; Xueyang Fu; Man Zhou; Yang Wang; Feng Zhao; Zhiwei Xiong |
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| 79a | Revisiting Temporal Alignment for Video Restoration |
Kun Zhou; Wenbo Li; Liying Lu; Xiaoguang Han; Jiangbo Lu |
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| 80a | Learning the Degradation Distribution for Blind Image Super-Resolution |
Zhengxiong Luo; Yan Huang; Shang Li; Liang Wang; Tieniu Tan |
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| 81a | LSVC: A Learning-Based Stereo Video Compression Framework |
Zhenghao Chen; Guo Lu; Zhihao Hu; Shan Liu; Wei Jiang; Dong Xu |
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| 82a | Learning Based Multi-Modality Image and Video Compression |
Guo Lu; Tianxiong Zhong; Jing Geng; Qiang Hu; Dong Xu |
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| 83a | Transformer Based Line Segment Classifier With Image Context for Real-Time Vanishing Point Detection in Manhattan World |
Xin Tong; Xianghua Ying; Yongjie Shi; Ruibin Wang; Jinfa Yang |
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| 84a | Deep Vanishing Point Detection: Geometric Priors Make Dataset Variations Vanish |
Yancong Lin; Ruben Wiersma; Silvia L. Pintea; Klaus Hildebrandt; Elmar Eisemann; Jan C. van Gemert |
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| 85a | Stereo Depth From Events Cameras: Concentrate and Focus on the Future |
Yeongwoo Nam; Mohammad Mostafavi; Kuk-Jin Yoon; Jonghyun Choi |
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| 3D From Multi-View & Sensors | 86a | Volumetric Bundle Adjustment for Online Photorealistic Scene Capture | Ronald Clark |
| 87a | Neural Volumetric Object Selection |
Zhongzheng Ren; Aseem Agarwala; Bryan Russell; Alexander G. Schwing; Oliver Wang |
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| 88a | HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture |
Ziyan Wang; Giljoo Nam; Tuur Stuyck; Stephen Lombardi; Michael Zollhöfer; Jessica Hodgins; Christoph Lassner |
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| 89a | NeuralHOFusion: Neural Volumetric Rendering Under Human-Object Interactions |
Yuheng Jiang; Suyi Jiang; Guoxing Sun; Zhuo Su; Kaiwen Guo; Minye Wu; Jingyi Yu; Lan Xu |
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| 90a | BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion |
Kejie Li; Yansong Tang; Victor Adrian Prisacariu; Philip H.S. Torr |
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| 91a | Input-Level Inductive Biases for 3D Reconstruction |
Wang Yifan; Carl Doersch; Relja Arandjelović; João Carreira; Andrew Zisserman |
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| 92a | Multi-View Mesh Reconstruction With Neural Deferred Shading |
Markus Worchel; Rodrigo Diaz; Weiwen Hu; Oliver Schreer; Ingo Feldmann; Peter Eisert |
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| 93a | StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions |
Lukas Höllein; Justin Johnson; Matthias Nießner |
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| 94a | RGB-Depth Fusion GAN for Indoor Depth Completion |
Haowen Wang; Mingyuan Wang; Zhengping Che; Zhiyuan Xu; Xiuquan Qiao; Mengshi Qi; Feifei Feng; Jian Tang |
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| 95a | PlanarRecon: Real-Time 3D Plane Detection and Reconstruction From Posed Monocular Videos |
Yiming Xie; Matheus Gadelha; Fengting Yang; Xiaowei Zhou; Huaizu Jiang |
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| 96a | Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations |
Mehdi S. M. Sajjadi; Henning Meyer; Etienne Pot; Urs Bergmann; Klaus Greff; Noha Radwan; Suhani Vora; Mario Lučić; Daniel Duckworth; Alexey Dosovitskiy; Jakob Uszkoreit; Thomas Funkhouser; Andrea Tagliasacchi |
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| 97a | ShapeFormer: Transformer-Based Shape Completion via Sparse Representation |
Xingguang Yan; Liqiang Lin; Niloy J. Mitra; Dani Lischinski; Daniel Cohen-Or; Hui Huang |
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| 98a | GuideFormer: Transformers for Image Guided Depth Completion | Kyeongha Rho; Jinsung Ha; Youngjung Kim | |
| 99a | Improving Neural Implicit Surfaces Geometry With Patch Warping |
François Darmon; Bénédicte Bascle; Jean-Clément Devaux; Pascal Monasse; Mathieu Aubry |
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| 100a | Critical Regularizations for Neural Surface Reconstruction in the Wild |
Jingyang Zhang; Yao Yao; Shiwei Li; Tian Fang; David McKinnon; Yanghai Tsin; Long Quan |
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| 101a | Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction |
Christiane Sommer; Lu Sang; David Schubert; Daniel Cremers |
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| 102a | Neural RGB-D Surface Reconstruction |
Dejan Azinović; Ricardo Martin-Brualla; Dan B Goldman; Matthias Nießner; Justus Thies |
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| 103a | POCO: Point Convolution for Surface Reconstruction | Alexandre Boulch; Renaud Marlet | |
| 104a | Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors | Baorui Ma; Yu-Shen Liu; Zhizhong Han | |
| 105a | Surface Reconstruction From Point Clouds by Learning Predictive Context Priors |
Baorui Ma; Yu-Shen Liu; Matthias Zwicker; Zhizhong Han |
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| 106a | IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment |
Yiming Zeng; Yue Qian; Qijian Zhang; Junhui Hou; Yixuan Yuan; Ying He |
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| 107a | Deterministic Point Cloud Registration via Novel Transformation Decomposition |
Wen Chen; Haoang Li; Qiang Nie; Yun-Hui Liu |
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| 108a | Global-Aware Registration of Less-Overlap RGB-D Scans | Che Sun; Yunde Jia; Yi Guo; Yuwei Wu | |
| 109a | Finding Good Configurations of Planar Primitives in Unorganized Point Clouds | Mulin Yu; Florent Lafarge | |
| 110a | Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels |
Hehe Fan; Xiaojun Chang; Wanyue Zhang; Yi Cheng; Ying Sun; Mohan Kankanhalli |
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| 111a | AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception |
Shaoyu Chen; Xinggang Wang; Tianheng Cheng; Wenqiang Zhang; Qian Zhang; Chang Huang; Wenyu Liu |
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| 112a | WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation |
Yingzhi Tang; Yue Qian; Qijian Zhang; Yiming Zeng; Junhui Hou; Xuefei Zhe |
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| Motion & Tracking | 113a | Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild |
Mingzhen Huang; Supreeth Narasimhaswamy; Saif Vazir; Haibin Ling; Minh Hoai |
| 114a | Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture |
Buzhen Huang; Liang Pan; Yuan Yang; Jingyi Ju; Yangang Wang |
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| 115a | MotionAug: Augmentation With Physical Correction for Human Motion Prediction | Takahiro Maeda; Norimichi Ukita | |
| 116a | Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction |
Tiezheng Ma; Yongwei Nie; Chengjiang Long; Qing Zhang; Guiqing Li |
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| 117a | Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction |
Chongyang Zhong; Lei Hu; Zihao Zhang; Yongjing Ye; Shihong Xia |
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| 118a | Motron: Multimodal Probabilistic Human Motion Forecasting | Tim Salzmann; Marco Pavone; Markus Ryll | |
| 119a | Human Trajectory Prediction With Momentary Observation |
Jianhua Sun; Yuxuan Li; Liang Chai; Hao-Shu Fang; Yong-Lu Li; Cewu Lu |
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| 120a | Non-Probability Sampling Network for Stochastic Human Trajectory Prediction | Inhwan Bae; Jin-Hwi Park; Hae-Gon Jeon | |
| 121a | Remember Intentions: Retrospective-Memory-Based Trajectory Prediction |
Chenxin Xu; Weibo Mao; Wenjun Zhang; Siheng Chen |
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| 122a | GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction With Relational Reasoning |
Chenxin Xu; Maosen Li; Zhenyang Ni; Ya Zhang; Siheng Chen |
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| 123a | Learning Pixel Trajectories With Multiscale Contrastive Random Walks |
Zhangxing Bian; Allan Jabri; Alexei A. Efros; Andrew Owens |
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| 124a | Adaptive Trajectory Prediction via Transferable GNN | Yi Xu; Lichen Wang; Yizhou Wang; Yun Fu | |
| 125a | Neural Prior for Trajectory Estimation |
Chaoyang Wang; Xueqian Li; Jhony Kaesemodel Pontes; Simon Lucey |
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| 126a | M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction |
Qiao Sun; Xin Huang; Junru Gu; Brian C. Williams; Hang Zhao |
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| 127a | How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting |
Alessio Monti; Angelo Porrello; Simone Calderara; Pasquale Coscia; Lamberto Ballan; Rita Cucchiara |
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| 128a | ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework |
Chunnan Wang; Xiang Chen; Junzhe Wang; Hongzhi Wang |
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| 129a | Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction |
Xinshuo Weng; Boris Ivanovic; Kris Kitani; Marco Pavone |
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| 130a | Convolutions for Spatial Interaction Modeling |
Zhaoen Su; Chao Wang; David Bradley; Carlos Vallespi-Gonzalez; Carl Wellington; Nemanja Djuric |
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| 131a | Style-ERD: Responsive and Coherent Online Motion Style Transfer |
Tianxin Tao; Xiaohang Zhan; Zhongquan Chen; Michiel van de Panne |
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| 132a | Neural Inertial Localization |
Sachini Herath; David Caruso; Chen Liu; Yufan Chen; Yasutaka Furukawa |
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| 133a | RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry |
Xiya Cao; Caifa Zhou; Dandan Zeng; Yongliang Wang |
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| 134a | CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism | Jiahui Lei; Kostas Daniilidis | |
| Pose Estimation & Tracking | 135a | ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses |
Bastian Wandt; James J. Little; Helge Rhodin |
| 136a | Projective Manifold Gradient Layer for Deep Rotation Regression |
Jiayi Chen; Yingda Yin; Tolga Birdal; Baoquan Chen; Leonidas J. Guibas; He Wang |
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| 137a | Multimodal Colored Point Cloud to Image Alignment | Noam Rotstein; Amit Bracha; Ron Kimmel | |
| 138a | Multi-Instance Point Cloud Registration by Efficient Correspondence Clustering | Weixuan Tang; Danping Zou | |
| 139a | REGTR: End-to-End Point Cloud Correspondences With Transformers | Zi Jian Yew; Gim Hee Lee | |
| 140a | Text2Pos: Text-to-Point-Cloud Cross-Modal Localization |
Manuel Kolmet; Qunjie Zhou; Aljoša Ošep; Laura Leal-Taixé |
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| 141a | BCOT: A Markerless High-Precision 3D Object Tracking Benchmark |
Jiachen Li; Bin Wang; Shiqiang Zhu; Xin Cao; Fan Zhong; Wenxuan Chen; Te Li; Jason Gu; Xueying Qin |
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| 142a | SAR-Net: Shape Alignment and Recovery Network for Category-Level 6D Object Pose and Size Estimation |
Haitao Lin; Zichang Liu; Chilam Cheang; Yanwei Fu; Guodong Guo; Xiangyang Xue |
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| 143a | ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework |
Ningkai Mo; Wanshui Gan; Naoto Yokoya; Shifeng Chen |
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| 144a | Coupled Iterative Refinement for 6D Multi-Object Pose Estimation |
Lahav Lipson; Zachary Teed; Ankit Goyal; Jia Deng |
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| 145a | ZebraPose: Coarse To Fine Surface Encoding for 6DoF Object Pose Estimation |
Yongzhi Su; Mahdi Saleh; Torben Fetzer; Jason Rambach; Nassir Navab; Benjamin Busam; Didier Stricker; Federico Tombari |
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| 146a | SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation With Learnt Surface Embeddings |
Rasmus Laurvig Haugaard; Anders Glent Buch |
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| 147a | MetaPose: Fast 3D Pose From Multiple Views Without 3D Supervision |
Ben Usman; Andrea Tagliasacchi; Kate Saenko; Avneesh Sud |
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| 148a | Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions |
Van Nguyen Nguyen; Yinlin Hu; Yang Xiao; Mathieu Salzmann; Vincent Lepetit |
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| 149a | GPV-Pose: Category-Level Object Pose Estimation via Geometry-Guided Point-Wise Voting |
Yan Di; Ruida Zhang; Zhiqiang Lou; Fabian Manhardt; Xiangyang Ji; Nassir Navab; Federico Tombari |
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| 150a | HSC4D: Human-Centered 4D Scene Capture in Large-Scale Indoor-Outdoor Space Using Wearable IMUs and LiDAR |
Yudi Dai; Yitai Lin; Chenglu Wen; Siqi Shen; Lan Xu; Jingyi Yu; Yuexin Ma; Cheng Wang |
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| 151a | OVE6D: Object Viewpoint Encoding for Depth-Based 6D Object Pose Estimation | Dingding Cai; Janne Heikkilä; Esa Rahtu | |
| 152a | FS6D: Few-Shot 6D Pose Estimation of Novel Objects |
Yisheng He; Yao Wang; Haoqiang Fan; Jian Sun; Qifeng Chen |
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| 153a | OnePose: One-Shot Object Pose Estimation Without CAD Models |
Jiaming Sun; Zihao Wang; Siyu Zhang; Xingyi He; Hongcheng Zhao; Guofeng Zhang; Xiaowei Zhou |
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| 154a | OSOP: A Multi-Stage One Shot Object Pose Estimation Framework |
Ivan Shugurov; Fu Li; Benjamin Busam; Slobodan Ilic |
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| 155a | DiffPoseNet: Direct Differentiable Camera Pose Estimation |
Chethan M. Parameshwara; Gokul Hari; Cornelia Fermüller; Nitin J. Sanket; Yiannis Aloimonos |
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| 156a | Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects |
Manuel Stoiber; Martin Sundermeyer; Rudolph Triebel |
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| 157a | CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild |
Yang You; Ruoxi Shi; Weiming Wang; Cewu Lu |
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| 158a | Leveraging Equivariant Features for Absolute Pose Regression |
Mohamed Adel Musallam; Vincent Gaudillière; Miguel Ortiz del Castillo; Kassem Al Ismaeil; Djamila Aouada |
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| Transfer / Low-Shot / Long-Tail Learning | 159a | The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification |
Seulki Park; Youngkyu Hong; Byeongho Heo; Sangdoo Yun; Jin Young Choi |
| 160a | Long-Tailed Recognition via Weight Balancing |
Shaden Alshammari; Yu-Xiong Wang; Deva Ramanan; Shu Kong |
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| 161a | Balanced Contrastive Learning for Long-Tailed Visual Recognition |
Jianggang Zhu; Zheng Wang; Jingjing Chen; Yi-Ping Phoebe Chen; Yu-Gang Jiang |
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| 162a | Targeted Supervised Contrastive Learning for Long-Tailed Recognition |
Tianhong Li; Peng Cao; Yuan Yuan; Lijie Fan; Yuzhe Yang; Rogerio S. Feris; Piotr Indyk; Dina Katabi |
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| 163a | Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment | Mengke Li; Yiu-ming Cheung; Yang Lu | |
| 164a | Long-Tail Recognition via Compositional Knowledge Transfer |
Sarah Parisot; Pedro M. Esperança; Steven McDonagh; Tamas J. Madarasz; Yongxin Yang; Zhenguo Li |
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| 165a | Nested Collaborative Learning for Long-Tailed Visual Recognition |
Jun Li; Zichang Tan; Jun Wan; Zhen Lei; Guodong Guo |
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| 166a | Retrieval Augmented Classification for Long-Tail Visual Recognition |
Alexander Long; Wei Yin; Thalaiyasingam Ajanthan; Vu Nguyen; Pulak Purkait; Ravi Garg; Alan Blair; Chunhua Shen; Anton van den Hengel |
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| 167a | Trustworthy Long-Tailed Classification |
Bolian Li; Zongbo Han; Haining Li; Huazhu Fu; Changqing Zhang |
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| 168a | C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection |
Tong Wang; Yousong Zhu; Yingying Chen; Chaoyang Zhao; Bin Yu; Jinqiao Wang; Ming Tang |
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| 169a | Equalized Focal Loss for Dense Long-Tailed Object Detection |
Bo Li; Yongqiang Yao; Jingru Tan; Gang Zhang; Fengwei Yu; Jianwei Lu; Ye Luo |
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| 170a | Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance |
Yin-Yin He; Peizhen Zhang; Xiu-Shen Wei; Xiangyu Zhang; Jian Sun |
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| 171a | iFS-RCNN: An Incremental Few-Shot Instance Segmenter | Khoi Nguyen; Sinisa Todorovic | |
| 172a | Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling |
Dat Huynh; Jason Kuen; Zhe Lin; Jiuxiang Gu; Ehsan Elhamifar |
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| 173a | SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation |
Xiaoqing Guo; Jie Liu; Tongliang Liu; Yixuan Yuan |
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| 174a | Undoing the Damage of Label Shift for Cross-Domain Semantic Segmentation |
Yahao Liu; Jinhong Deng; Jiale Tao; Tong Chu; Lixin Duan; Wen Li |
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| 175a | Representation Compensation Networks for Continual Semantic Segmentation |
Chang-Bin Zhang; Jia-Wen Xiao; Xialei Liu; Ying-Cong Chen; Ming-Ming Cheng |
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| 176a | Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer |
Wenjian Wang; Lijuan Duan; Yuxi Wang; Qing En; Junsong Fan; Zhaoxiang Zhang |
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| 177a | Domain-Agnostic Prior for Transfer Semantic Segmentation |
Xinyue Huo; Lingxi Xie; Hengtong Hu; Wengang Zhou; Houqiang Li; Qi Tian |
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| 178a | Image Segmentation Using Text and Image Prompts | Timo Lüddecke; Alexander Ecker | |
| 179a | PCL: Proxy-Based Contrastive Learning for Domain Generalization |
Xufeng Yao; Yang Bai; Xinyun Zhang; Yuechen Zhang; Qi Sun; Ran Chen; Ruiyu Li; Bei Yu |
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| 180a | Localized Adversarial Domain Generalization |
Wei Zhu; Le Lu; Jing Xiao; Mei Han; Jiebo Luo; Adam P. Harrison |
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| 181a | Compound Domain Generalization via Meta-Knowledge Encoding |
Chaoqi Chen; Jiongcheng Li; Xiaoguang Han; Xiaoqing Liu; Yizhou Yu |
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| 182a | Style Neophile: Constantly Seeking Novel Styles for Domain Generalization |
Juwon Kang; Sohyun Lee; Namyup Kim; Suha Kwak |
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| 183a | Slimmable Domain Adaptation |
Rang Meng; Weijie Chen; Shicai Yang; Jie Song; Luojun Lin; Di Xie; Shiliang Pu; Xinchao Wang; Mingli Song; Yueting Zhuang |
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| 184a | Exploring Domain-Invariant Parameters for Source Free Domain Adaptation |
Fan Wang; Zhongyi Han; Yongshun Gong; Yilong Yin |
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| 185a | Cross-Domain Few-Shot Learning With Task-Specific Adapters | Wei-Hong Li; Xialei Liu; Hakan Bilen | |
| 186a | Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition |
Shiyuan Huang; Jiawei Ma; Guangxing Han; Shih-Fu Chang |
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| 187a | Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation |
Lin Chen; Huaian Chen; Zhixiang Wei; Xin Jin; Xiao Tan; Yi Jin; Enhong Chen |
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| 188a | Safe Self-Refinement for Transformer-Based Domain Adaptation |
Tao Sun; Cheng Lu; Tianshuo Zhang; Haibin Ling |
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| 189a | Continual Test-Time Domain Adaptation |
Qin Wang; Olga Fink; Luc Van Gool; Dengxin Dai |
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| 190a | Source-Free Domain Adaptation via Distribution Estimation |
Ning Ding; Yixing Xu; Yehui Tang; Chao Xu; Yunhe Wang; Dacheng Tao |
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| 191a | Domain Adaptation on Point Clouds via Geometry-Aware Implicits |
Yuefan Shen; Yanchao Yang; Mi Yan; He Wang; Youyi Zheng; Leonidas J. Guibas |
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| 192a | Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds |
Zhao Jin; Yinjie Lei; Naveed Akhtar; Haifeng Li; Munawar Hayat |
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| 193a | Hyperspherical Consistency Regularization |
Cheng Tan; Zhangyang Gao; Lirong Wu; Siyuan Li; Stan Z. Li |
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| 194a | BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning | Zhi Hou; Baosheng Yu; Dacheng Tao | |
| Recognition: Detection, Categorization, Retrieval | 195a | Cascade Transformers for End-to-End Person Search |
Rui Yu; Dawei Du; Rodney LaLonde; Daniel Davila; Christopher Funk; Anthony Hoogs; Brian Clipp |
| 196a | Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts |
Chongzhi Zhang; Mingyuan Zhang; Shanghang Zhang; Daisheng Jin; Qiang Zhou; Zhongang Cai; Haiyu Zhao; Xianglong Liu; Ziwei Liu |
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| 197a | MPViT: Multi-Path Vision Transformer for Dense Prediction |
Youngwan Lee; Jonghee Kim; Jeffrey Willette; Sung Ju Hwang |
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| 198a | NFormer: Robust Person Re-Identification With Neighbor Transformer |
Haochen Wang; Jiayi Shen; Yongtuo Liu; Yan Gao; Efstratios Gavves |
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| 199a | Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification |
Yoonki Cho; Woo Jae Kim; Seunghoon Hong; Sung-Eui Yoon |
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| 200a | Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification |
Wei Wu; Jiawei Liu; Kecheng Zheng; Qibin Sun; Zheng-Jun Zha |
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| 201a | Augmented Geometric Distillation for Data-Free Incremental Person ReID | Yichen Lu; Mei Wang; Weihong Deng | |
| 202a | Salient-to-Broad Transition for Video Person Re-Identification |
Shutao Bai; Bingpeng Ma; Hong Chang; Rui Huang; Xilin Chen |
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| 203a | FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification |
Qiang Zhang; Changzhou Lai; Jianan Liu; Nianchang Huang; Jungong Han |
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| 204a | Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification | Shengcai Liao; Ling Shao | |
| 205a | Implicit Sample Extension for Unsupervised Person Re-Identification |
Xinyu Zhang; Dongdong Li; Zhigang Wang; Jian Wang; Errui Ding; Javen Qinfeng Shi; Zhaoxiang Zhang; Jingdong Wang |
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| 206a | Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection | Yibo Zhou | |
| 207a | Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection |
Choubo Ding; Guansong Pang; Chunhua Shen |
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| 208a | Fine-Grained Object Classification via Self-Supervised Pose Alignment |
Xuhui Yang; Yaowei Wang; Ke Chen; Yong Xu; Yonghong Tian |
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| 209a | Hyperbolic Vision Transformers: Combining Improvements in Metric Learning |
Aleksandr Ermolov; Leyla Mirvakhabova; Valentin Khrulkov; Nicu Sebe; Ivan Oseledets |
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| 210a | Non-Isotropy Regularization for Proxy-Based Deep Metric Learning | Karsten Roth; Oriol Vinyals; Zeynep Akata | |
| 211a | Self-Taught Metric Learning Without Labels |
Sungyeon Kim; Dongwon Kim; Minsu Cho; Suha Kwak |
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| 212a | Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency | Yanan Gu; Xu Yang; Kun Wei; Cheng Deng | |
| 213a | Energy-Based Latent Aligner for Incremental Learning |
K J Joseph; Salman Khan; Fahad Shahbaz Khan; Rao Muhammad Anwer; Vineeth N Balasubramanian |
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| 214a | Sketch3T: Test-Time Training for Zero-Shot SBIR |
Aneeshan Sain; Ayan Kumar Bhunia; Vaishnav Potlapalli; Pinaki Nath Chowdhury; Tao Xiang; Yi-Zhe Song |
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| 215a | The Devil Is in the Pose: Ambiguity-Free 3D Rotation-Invariant Learning via Pose-Aware Convolution | Ronghan Chen; Yang Cong | |
| 216a | Finding Badly Drawn Bunnies |
Lan Yang; Kaiyue Pang; Honggang Zhang; Yi-Zhe Song |
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| 217a | Generalized Category Discovery |
Sagar Vaze; Kai Han; Andrea Vedaldi; Andrew Zisserman |
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| 218a | Recall@k Surrogate Loss With Large Batches and Similarity Mixup | Yash Patel; Giorgos Tolias; Jiří Matas | |
| 219a | Modeling 3D Layout for Group Re-Identification |
Quan Zhang; Kaiheng Dang; Jian-Huang Lai; Zhanxiang Feng; Xiaohua Xie |
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| 220a | Causal Transportability for Visual Recognition |
Chengzhi Mao; Kevin Xia; James Wang; Hao Wang; Junfeng Yang; Elias Bareinboim; Carl Vondrick |
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| 221a | Attributable Visual Similarity Learning |
Borui Zhang; Wenzhao Zheng; Jie Zhou; Jiwen Lu |
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| 222a | Bi-Level Alignment for Cross-Domain Crowd Counting |
Shenjian Gong; Shanshan Zhang; Jian Yang; Dengxin Dai; Bernt Schiele |
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| 223a | Mutual Quantization for Cross-Modal Search With Noisy Labels |
Erkun Yang; Dongren Yao; Tongliang Liu; Cheng Deng |
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| 224a | Task Adaptive Parameter Sharing for Multi-Task Learning |
Matthew Wallingford; Hao Li; Alessandro Achille; Avinash Ravichandran; Charless Fowlkes; Rahul Bhotika; Stefano Soatto |
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| 225a | Simple Multi-Dataset Detection |
Xingyi Zhou; Vladlen Koltun; Philipp Krähenbühl |
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| 226a | Cross-Domain Adaptive Teacher for Object Detection |
Yu-Jhe Li; Xiaoliang Dai; Chih-Yao Ma; Yen-Cheng Liu; Kan Chen; Bichen Wu; Zijian He; Kris Kitani; Peter Vajda |
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| 227a | Balanced and Hierarchical Relation Learning for One-Shot Object Detection |
Hanqing Yang; Sijia Cai; Hualian Sheng; Bing Deng; Jianqiang Huang; Xian-Sheng Hua; Yong Tang; Yu Zhang |
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| 228a | Semantic-Aligned Fusion Transformer for One-Shot Object Detection | Yizhou Zhao; Xun Guo; Yan Lu | |
| 229a | MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning |
Shiming Chen; Ziming Hong; Guo-Sen Xie; Wenhan Yang; Qinmu Peng; Kai Wang; Jian Zhao; Xinge You |
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| 230a | Robust Region Feature Synthesizer for Zero-Shot Object Detection |
Peiliang Huang; Junwei Han; De Cheng; Dingwen Zhang |
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| Image & Video Synthesis and Generation | 231a | Region-Aware Face Swapping |
Chao Xu; Jiangning Zhang; Miao Hua; Qian He; Zili Yi; Yong Liu |
| 232a | High-Resolution Face Swapping via Latent Semantics Disentanglement |
Yangyang Xu; Bailin Deng; Junle Wang; Yanqing Jing; Jia Pan; Shengfeng He |
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| 233a | Rethinking Deep Face Restoration |
Yang Zhao; Yu-Chuan Su; Chun-Te Chu; Yandong Li; Marius Renn; Yukun Zhu; Changyou Chen; Xuhui Jia |
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| 234a | Blind Face Restoration via Integrating Face Shape and Generative Priors |
Feida Zhu; Junwei Zhu; Wenqing Chu; Xinyi Zhang; Xiaozhong Ji; Chengjie Wang; Ying Tai |
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| 235a | FENeRF: Face Editing in Neural Radiance Fields |
Jingxiang Sun; Xuan Wang; Yong Zhang; Xiaoyu Li; Qi Zhang; Yebin Liu; Jue Wang |
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| 236a | TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing |
Yanbo Xu; Yueqin Yin; Liming Jiang; Qianyi Wu; Chengyao Zheng; Chen Change Loy; Bo Dai; Wayne Wu |
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| 237a | Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer |
Shuai Yang; Liming Jiang; Ziwei Liu; Chen Change Loy |
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| 238a | Self-Supervised Correlation Mining Network for Person Image Generation |
Zijian Wang; Xingqun Qi; Kun Yuan; Muyi Sun |
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| 239a | Exploring Dual-Task Correlation for Pose Guided Person Image Generation |
Pengze Zhang; Lingxiao Yang; Jian-Huang Lai; Xiaohua Xie |
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| 240a | InsetGAN for Full-Body Image Generation |
Anna Frühstück; Krishna Kumar Singh; Eli Shechtman; Niloy J. Mitra; Peter Wonka; Jingwan Lu |
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| 241a | BodyGAN: General-Purpose Controllable Neural Human Body Generation |
Chaojie Yang; Hanhui Li; Shengjie Wu; Shengkai Zhang; Haonan Yan; Nianhong Jiao; Jie Tang; Runnan Zhou; Xiaodan Liang; Tianxiang Zheng |
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| 242a | HumanNeRF: Efficiently Generated Human Radiance Field From Sparse Inputs |
Fuqiang Zhao; Wei Yang; Jiakai Zhang; Pei Lin; Yingliang Zhang; Jingyi Yu; Lan Xu |
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| 243a | Structure-Aware Flow Generation for Human Body Reshaping |
Jianqiang Ren; Yuan Yao; Biwen Lei; Miaomiao Cui; Xuansong Xie |
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| 244a | Modeling Image Composition for Complex Scene Generation |
Zuopeng Yang; Daqing Liu; Chaoyue Wang; Jie Yang; Dacheng Tao |
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| 245a | Local Attention Pyramid for Scene Image Generation |
Sang-Heon Shim; Sangeek Hyun; DaeHyun Bae; Jae-Pil Heo |
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| 246a | Interactive Image Synthesis With Panoptic Layout Generation | Bo Wang; Tao Wu; Minfeng Zhu; Peng Du | |
| 247a | iPLAN: Interactive and Procedural Layout Planning | Feixiang He; Yanlong Huang; He Wang | |
| 248a | E-CIR: Event-Enhanced Continuous Intensity Recovery | Chen Song; Qixing Huang; Chandrajit Bajaj | |
| 249a | Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion |
Yuqi Sun; Shili Zhou; Ri Cheng; Weimin Tan; Bo Yan; Lang Fu |
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| 250a | Neural Rays for Occlusion-Aware Image-Based Rendering |
Yuan Liu; Sida Peng; Lingjie Liu; Qianqian Wang; Peng Wang; Christian Theobalt; Xiaowei Zhou; Wenping Wang |
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| 251a | Industrial Style Transfer With Large-Scale Geometric Warping and Content Preservation |
Jinchao Yang; Fei Guo; Shuo Chen; Jun Li; Jian Yang |
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| 252a | PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models | Tai-Yin Chiu; Danna Gurari | |
| 253a | Commonality in Natural Images Rescues GANs: Pretraining GANs With Generic and Privacy-Free Synthetic Data | Kyungjune Baek; Hyunjung Shim | |
| 254a | Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints | Chengdong Dong; Ajay Kumar; Eryun Liu | |
| 255a | Robust Invertible Image Steganography |
Youmin Xu; Chong Mou; Yujie Hu; Jingfen Xie; Jian Zhang |
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| 256a | Distinguishing Unseen From Seen for Generalized Zero-Shot Learning |
Hongzu Su; Jingjing Li; Zhi Chen; Lei Zhu; Ke Lu |
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| 257a | Few-Shot Font Generation by Learning Fine-Grained Local Styles |
Licheng Tang; Yiyang Cai; Jiaming Liu; Zhibin Hong; Mingming Gong; Minhu Fan; Junyu Han; Jingtuo Liu; Errui Ding; Jingdong Wang |
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| 258a | XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation |
Wei Liu; Fangyue Liu; Fei Ding; Qian He; Zili Yi |
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| 259a | Learning To Generate Line Drawings That Convey Geometry and Semantics | Caroline Chan; Frédo Durand; Phillip Isola |