Presentation Schedule
All times are in Central time zone
Date: Tuesday, June 21, 2022 10:00AM – 12:30PM
| Session Title | Poster ID | Title | Authors |
| Machine Learning | 1a | Efficient Deep Embedded Subspace Clustering |
Jinyu Cai; Jicong Fan; Wenzhong Guo; Shiping Wang; Yunhe Zhang; Zhao Zhang |
| 2a | Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers |
Yunhui Guo; Xudong Wang; Yubei Chen; Stella X. Yu |
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3a | CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data | Yunhui Guo; Haoran Guo; Stella X. Yu |
| 4a | Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning |
Jiexi Yan; Lei Luo; Chenghao Xu; Cheng Deng; Heng Huang |
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| 5a | Active Learning for Open-Set Annotation |
Kun-Peng Ning; Xun Zhao; Yu Li; Sheng-Jun Huang |
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| 6a | Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training | Theodoros Tsiligkaridis; Jay Roberts | |
| 7a | Robust Optimization As Data Augmentation for Large-Scale Graphs |
Kezhi Kong; Guohao Li; Mucong Ding; Zuxuan Wu; Chen Zhu; Bernard Ghanem; Gavin Taylor; Tom Goldstein |
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| 8a | A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty |
Sihao Yu; Jiafeng Guo; Ruqing Zhang; Yixing Fan; Zizhen Wang; Xueqi Cheng |
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| 9a | The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration |
Bingyuan Liu; Ismail Ben Ayed; Adrian Galdran; Jose Dolz |
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| 10a | Towards Better Plasticity-Stability Trade-Off in Incremental Learning: A Simple Linear Connector | Guoliang Lin; Hanlu Chu; Hanjiang Lai | |
| 11a | GCR: Gradient Coreset Based Replay Buffer Selection for Continual Learning |
Rishabh Tiwari; Krishnateja Killamsetty; Rishabh Iyer; Pradeep Shenoy |
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| 12a | Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning |
Qingsen Yan; Dong Gong; Yuhang Liu; Anton van den Hengel; Javen Qinfeng Shi |
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| 13a | A Variational Bayesian Method for Similarity Learning in Non-Rigid Image Registration |
Daniel Grzech; Mohammad Farid Azampour; Ben Glocker; Julia Schnabel; Nassir Navab; Bernhard Kainz; Loïc Le Folgoc |
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| 14a | Learning To Learn by Jointly Optimizing Neural Architecture and Weights |
Yadong Ding; Yu Wu; Chengyue Huang; Siliang Tang; Yi Yang; Longhui Wei; Yueting Zhuang; Qi Tian |
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| 15a | Learning To Prompt for Continual Learning |
Zifeng Wang; Zizhao Zhang; Chen-Yu Lee; Han Zhang; Ruoxi Sun; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer Dy; Tomas Pfister |
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| 16a | Meta-Attention for ViT-Backed Continual Learning |
Mengqi Xue; Haofei Zhang; Jie Song; Mingli Song |
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| 17a | Multi-Frame Self-Supervised Depth With Transformers |
Vitor Guizilini; Rareș Ambruș; Dian Chen; Sergey Zakharov; Adrien Gaidon |
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| 18a | Continual Learning With Lifelong Vision Transformer |
Zhen Wang; Liu Liu; Yiqun Duan; Yajing Kong; Dacheng Tao |
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| 19a | Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation | Jianfeng Wang; Thomas Lukasiewicz | |
| 20a | Revisiting Random Channel Pruning for Neural Network Compression |
Yawei Li; Kamil Adamczewski; Wen Li; Shuhang Gu; Radu Timofte; Luc Van Gool |
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| 21a | Deep Safe Multi-View Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase | Huayi Tang; Yong Liu | |
| 22a | Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning |
Jongin Lim; Sangdoo Yun; Seulki Park; Jin Young Choi |
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| 23a | Towards Robust and Reproducible Active Learning Using Neural Networks |
Prateek Munjal; Nasir Hayat; Munawar Hayat; Jamshid Sourati; Shadab Khan |
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| 24a | Non-Iterative Recovery From Nonlinear Observations Using Generative Models | Jiulong Liu; Zhaoqiang Liu | |
| 25a | Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders | Minyoung Kim | |
| 26a | Robust Combination of Distributed Gradients Under Adversarial Perturbations | Kwang In Kim | |
| 27a | Do Learned Representations Respect Causal Relationships? | Lan Wang; Vishnu Naresh Boddeti | |
| 28a | How Much More Data Do I Need? Estimating Requirements for Downstream Tasks |
Rafid Mahmood; James Lucas; David Acuna; Daiqing Li; Jonah Philion; Jose M. Alvarez; Zhiding Yu; Sanja Fidler; Marc T. Law |
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| 29a | Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees |
Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán |
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| 30a | Contrastive Test-Time Adaptation |
Dian Chen; Dequan Wang; Trevor Darrell; Sayna Ebrahimi |
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| 31a | AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation |
Paritosh Mittal; Yen-Chi Cheng; Maneesh Singh; Shubham Tulsiani |
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| 32a | Selective-Supervised Contrastive Learning With Noisy Labels |
Shikun Li; Xiaobo Xia; Shiming Ge; Tongliang Liu |
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| 33a | RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks |
Yufei Guo; Xinyi Tong; Yuanpei Chen; Liwen Zhang; Xiaode Liu; Zhe Ma; Xuhui Huang |
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| 34a | Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction |
Saquib Sarfraz; Marios Koulakis; Constantin Seibold; Rainer Stiefelhagen |
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| Statistical Methods | 35a | Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels | Yikai Wang; Xinwei Sun; Yanwei Fu |
| 36a | Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design | Xiran Fan; Chun-Hao Yang; Baba C. Vemuri | |
| 37a | Learning Structured Gaussians To Approximate Deep Ensembles |
Ivor J. A. Simpson; Sara Vicente; Neill D. F. Campbell |
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| 38a | Out-of-Distribution Generalization With Causal Invariant Transformations |
Ruoyu Wang; Mingyang Yi; Zhitang Chen; Shengyu Zhu |
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| 39a | Split Hierarchical Variational Compression |
Tom Ryder; Chen Zhang; Ning Kang; Shifeng Zhang |
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| 40a | Implicit Feature Decoupling With Depthwise Quantization | Iordanis Fostiropoulos; Barry Boehm | |
| 41a | Understanding Uncertainty Maps in Vision With Statistical Testing |
Jurijs Nazarovs; Zhichun Huang; Songwong Tasneeyapant; Rudrasis Chakraborty; Vikas Singh |
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| Optimization Methods | 42a | A Hybrid Quantum-Classical Algorithm for Robust Fitting |
Anh-Dzung Doan; Michele Sasdelli; David Suter; Tat-Jun Chin |
| 43a | A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching |
Paul Roetzer; Paul Swoboda; Daniel Cremers; Florian Bernard |
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| 44a | FastDOG: Fast Discrete Optimization on GPU | Ahmed Abbas; Paul Swoboda | |
| 45a | Data-Free Network Compression via Parametric Non-Uniform Mixed Precision Quantization | Vladimir Chikin; Mikhail Antiukh | |
| 46a | AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks |
Huu Le; Rasmus Kjær Høier; Che-Tsung Lin; Christopher Zach |
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| 47a | Training Quantised Neural Networks With STE Variants: The Additive Noise Annealing Algorithm |
Matteo Spallanzani; Gian Paolo Leonardi; Luca Benini |
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| 48a | AME: Attention and Memory Enhancement in Hyper-Parameter Optimization |
Nuo Xu; Jianlong Chang; Xing Nie; Chunlei Huo; Shiming Xiang; Chunhong Pan |
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| 49a | Accelerating Neural Network Optimization Through an Automated Control Theory Lens |
Jiahao Wang; Baoyuan Wu; Rui Su; Mingdeng Cao; Shuwei Shi; Wanli Ouyang; Yujiu Yang |
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| 50a | Efficient Maximal Coding Rate Reduction by Variational Forms |
Christina Baek; Ziyang Wu; Kwan Ho Ryan Chan; Tianjiao Ding; Yi Ma; Benjamin D. Haeffele |
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| 51a | A Unified Framework for Implicit Sinkhorn Differentiation |
Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers |
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| 52a | Computing Wasserstein-p Distance Between Images With Linear Cost | Yidong Chen; Chen Li; Zhonghua Lu | |
| 53a | An Iterative Quantum Approach for Transformation Estimation From Point Sets |
Natacha Kuete Meli; Florian Mannel; Jan Lellmann |
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| Deep Learning Architectures & Techniques | 54a | BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features |
Nourhan Bayasi; Ghassan Hamarneh; Rafeef Garbi |
| 55a | Pooling Revisited: Your Receptive Field Is Suboptimal |
Dong-Hwan Jang; Sanghyeok Chu; Joonhyuk Kim; Bohyung Han |
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| 56a | Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis |
Jiajing Chen; Burak Kakillioglu; Huantao Ren; Senem Velipasalar |
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| 57a | Online Convolutional Re-Parameterization |
Mu Hu; Junyi Feng; Jiashen Hua; Baisheng Lai; Jianqiang Huang; Xiaojin Gong; Xian-Sheng Hua |
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| 58a | RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality |
Xiaohan Ding; Honghao Chen; Xiangyu Zhang; Jungong Han; Guiguang Ding |
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| 59a | DyRep: Bootstrapping Training With Dynamic Re-Parameterization |
Tao Huang; Shan You; Bohan Zhang; Yuxuan Du; Fei Wang; Chen Qian; Chang Xu |
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| 60a | Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free |
Tianlong Chen; Zhenyu Zhang; Yihua Zhang; Shiyu Chang; Sijia Liu; Zhangyang Wang |
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| 61a | Condensing CNNs With Partial Differential Equations | Anil Kag; Venkatesh Saligrama | |
| 62a | Deep Equilibrium Optical Flow Estimation |
Shaojie Bai; Zhengyang Geng; Yash Savani; J. Zico Kolter |
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| 63a | Frame Averaging for Equivariant Shape Space Learning |
Matan Atzmon; Koki Nagano; Sanja Fidler; Sameh Khamis; Yaron Lipman |
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| 64a | Dual-Generator Face Reenactment |
Gee-Sern Hsu; Chun-Hung Tsai; Hung-Yi Wu |
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| 65a | Convolution of Convolution: Let Kernels Spatially Collaborate | Rongzhen Zhao; Jian Li; Zhenzhi Wu | |
| 66a | SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention |
Matthias Wödlinger; Jan Kotera; Jan Xu; Robert Sablatnig |
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| 67a | RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising |
Michael Schelling; Pedro Hermosilla; Timo Ropinski |
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| 68a | Co-Domain Symmetry for Complex-Valued Deep Learning | Utkarsh Singhal; Yifei Xing; Stella X. Yu | |
| 69a | Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better Than Dot-Product Self-Attention |
Tong Yu; Ruslan Khalitov; Lei Cheng; Zhirong Yang |
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| 70a | Compressing Models With Few Samples: Mimicking Then Replacing |
Huanyu Wang; Junjie Liu; Xin Ma; Yang Yong; Zhenhua Chai; Jianxin Wu |
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| 71a | Total Variation Optimization Layers for Computer Vision |
Raymond A. Yeh; Yuan-Ting Hu; Zhongzheng Ren; Alexander G. Schwing |
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| 72a | AIM: An Auto-Augmenter for Images and Meshes |
Vinit Veerendraveer Singh; Chandra Kambhamettu |
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| 73a | Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction |
George Yiasemis; Jan-Jakob Sonke; Clarisa Sánchez; Jonas Teuwen |
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| 74a | Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching |
Nicolas Donati; Etienne Corman; Maks Ovsjanikov |
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| 75a | Weakly-Supervised Metric Learning With Cross-Module Communications for the Classification of Anterior Chamber Angle Images |
Jingqi Huang; Yue Ning; Dong Nie; Linan Guan; Xiping Jia |
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| 76a | Delving Into the Estimation Shift of Batch Normalization in a Network |
Lei Huang; Yi Zhou; Tian Wang; Jie Luo; Xianglong Liu |
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| 77a | Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks | Fanqing Lin; Brian Price; Tony Martinez | |
| 78a | Brain-Inspired Multilayer Perceptron With Spiking Neurons |
Wenshuo Li; Hanting Chen; Jianyuan Guo; Ziyang Zhang; Yunhe Wang |
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| 79a | Smooth Maximum Unit: Smooth Activation Function for Deep Networks Using Smoothing Maximum Technique |
Koushik Biswas; Sandeep Kumar; Shilpak Banerjee; Ashish Kumar Pandey |
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| 80a | Revisiting Weakly Supervised Pre-Training of Visual Perception Models |
Mannat Singh; Laura Gustafson; Aaron Adcock; Vinicius de Freitas Reis; Bugra Gedik; Raj Prateek Kosaraju; Dhruv Mahajan; Ross Girshick; Piotr Dollár; Laurens van der Maaten |
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| 81a | On the Integration of Self-Attention and Convolution |
Xuran Pan; Chunjiang Ge; Rui Lu; Shiji Song; Guanfu Chen; Zeyi Huang; Gao Huang |
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| 82a | Hire-MLP: Vision MLP via Hierarchical Rearrangement |
Jianyuan Guo; Yehui Tang; Kai Han; Xinghao Chen; Han Wu; Chao Xu; Chang Xu; Yunhe Wang |
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| 83a | Stable Long-Term Recurrent Video Super-Resolution |
Benjamin Naoto Chiche; Arnaud Woiselle; Joana Frontera-Pons; Jean-Luc Starck |
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| 84a | Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation | Aming Wu; Cheng Deng | |
| 85a | Progressive End-to-End Object Detection in Crowded Scenes |
Anlin Zheng; Yuang Zhang; Xiangyu Zhang; Xiaojuan Qi; Jian Sun |
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| 86a | Zero-Shot Text-Guided Object Generation With Dream Fields |
Ajay Jain; Ben Mildenhall; Jonathan T. Barron; Pieter Abbeel; Ben Poole |
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| Recognition: Detection, Categorization, Retrieval | 87a | ISNet: Shape Matters for Infrared Small Target Detection |
Mingjin Zhang; Rui Zhang; Yuxiang Yang; Haichen Bai; Jing Zhang; Jie Guo |
| 88a | Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving | Yi-Nan Chen; Hang Dai; Yong Ding | |
| 89a | CLRNet: Cross Layer Refinement Network for Lane Detection |
Tu Zheng; Yifei Huang; Yang Liu; Wenjian Tang; Zheng Yang; Deng Cai; Xiaofei He |
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| 90a | CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection | Yanan Zhang; Jiaxin Chen; Di Huang | |
| 91a | Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection |
Yu-Jhe Li; Jinhyung Park; Matthew O'Toole; Kris Kitani |
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| 92a | Group Contextualization for Video Recognition |
Yanbin Hao; Hao Zhang; Chong-Wah Ngo; Xiangnan He |
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| 93a | Learning Transferable Human-Object Interaction Detector With Natural Language Supervision |
Suchen Wang; Yueqi Duan; Henghui Ding; Yap-Peng Tan; Kim-Hui Yap; Junsong Yuan |
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| 94a | Accelerating DETR Convergence via Semantic-Aligned Matching |
Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Kaiwen Cui; Shijian Lu |
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| 95a | Efficient Video Instance Segmentation via Tracklet Query and Proposal |
Jialian Wu; Sudhir Yarram; Hui Liang; Tian Lan; Junsong Yuan; Jayan Eledath; Gérard Medioni |
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| 96a | Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation |
Zhaozheng Chen; Tan Wang; Xiongwei Wu; Xian-Sheng Hua; Hanwang Zhang; Qianru Sun |
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| 97a | Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection |
Siyue Yu; Jimin Xiao; Bingfeng Zhang; Eng Gee Lim |
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| 98a | C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation |
Jinheng Xie; Jianfeng Xiang; Junliang Chen; Xianxu Hou; Xiaodong Zhao; Linlin Shen |
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| 99a | Sketching Without Worrying: Noise-Tolerant Sketch-Based Image Retrieval |
Ayan Kumar Bhunia; Subhadeep Koley; Abdullah Faiz Ur Rahman Khilji; Aneeshan Sain; Pinaki Nath Chowdhury; Tao Xiang; Yi-Zhe Song |
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| 100a | AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks |
Hao Li; Tianwen Fu; Jifeng Dai; Hongsheng Li; Gao Huang; Xizhou Zhu |
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| 101a | Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection |
Jihwan Park; SeungJun Lee; Hwan Heo; Hyeong Kyu Choi; Hyunwoo J. Kim |
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| 102a | A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos |
Hanyu Xuan; Zhiliang Wu; Jian Yang; Yan Yan; Xavier Alameda-Pineda |
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| 103a | SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization | Canjie Luo; Lianwen Jin; Jingdong Chen | |
| 104a | Towards End-to-End Unified Scene Text Detection and Layout Analysis |
Shangbang Long; Siyang Qin; Dmitry Panteleev; Alessandro Bissacco; Yasuhisa Fujii; Michalis Raptis |
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| 105a | Clothes-Changing Person Re-Identification With RGB Modality Only |
Xinqian Gu; Hong Chang; Bingpeng Ma; Shutao Bai; Shiguang Shan; Xilin Chen |
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| 106a | MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection | Qing Lian; Peiliang Li; Xiaozhi Chen | |
| 107a | Homography Loss for Monocular 3D Object Detection |
Jiaqi Gu; Bojian Wu; Lubin Fan; Jianqiang Huang; Shen Cao; Zhiyu Xiang; Xian-Sheng Hua |
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| 108a | TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection With Transformers |
Xuyang Bai; Zeyu Hu; Xinge Zhu; Qingqiu Huang; Yilun Chen; Hongbo Fu; Chiew-Lan Tai |
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| 109a | TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance Segmentation |
Ruihang Chu; Xiaoqing Ye; Zhengzhe Liu; Xiao Tan; Xiaojuan Qi; Chi-Wing Fu; Jiaya Jia |
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| 110a | RBGNet: Ray-Based Grouping for 3D Object Detection |
Haiyang Wang; Shaoshuai Shi; Ze Yang; Rongyao Fang; Qi Qian; Hongsheng Li; Bernt Schiele; Liwei Wang |
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| 111a | Voxel Field Fusion for 3D Object Detection |
Yanwei Li; Xiaojuan Qi; Yukang Chen; Liwei Wang; Zeming Li; Jian Sun; Jiaya Jia |
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| 112a | Learning To Detect Mobile Objects From LiDAR Scans Without Labels |
Yurong You; Katie Luo; Cheng Perng Phoo; Wei-Lun Chao; Wen Sun; Bharath Hariharan; Mark Campbell; Kilian Q. Weinberger |
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| 113a | OccAM’s Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data |
David Schinagl; Georg Krispel; Horst Possegger; Peter M. Roth; Horst Bischof |
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| 114a | Confidence Propagation Cluster: Unleash Full Potential of Object Detectors |
Yichun Shen; Wanli Jiang; Zhen Xu; Rundong Li; Junghyun Kwon; Siyi Li |
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| 115a | TransGeo: Transformer Is All You Need for Cross-View Image Geo-Localization | Sijie Zhu; Mubarak Shah; Chen Chen | |
| 116a | A Voxel Graph CNN for Object Classification With Event Cameras | Yongjian Deng; Hao Chen; Hai Liu; Youfu Li | |
| 117a | OSKDet: Orientation-Sensitive Keypoint Localization for Rotated Object Detection |
Dongchen Lu; Dongmei Li; Yali Li; Shengjin Wang |
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| 118a | Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes |
Yang You; Zelin Ye; Yujing Lou; Chengkun Li; Yong-Lu Li; Lizhuang Ma; Weiming Wang; Cewu Lu |
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| Segmentation, Grouping and Shape Analysis | 119a | Category Contrast for Unsupervised Domain Adaptation in Visual Tasks |
Jiaxing Huang; Dayan Guan; Aoran Xiao; Shijian Lu; Ling Shao |
| 120a | Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model | Yihong Sun; Adam Kortylewski; Alan Yuille | |
| 121a | GANSeg: Learning To Segment by Unsupervised Hierarchical Image Generation | Xingzhe He; Bastian Wandt; Helge Rhodin | |
| 122a | Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation |
Anirud Thyagharajan; Benjamin Ummenhofer; Prashant Laddha; Om Ji Omer; Sreenivas Subramoney |
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| 123a | Deep Hierarchical Semantic Segmentation |
Liulei Li; Tianfei Zhou; Wenguan Wang; Jianwu Li; Yi Yang |
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| 124a | Semantic Segmentation by Early Region Proxy | Yifan Zhang; Bo Pang; Cewu Lu | |
| 125a | Panoptic, Instance and Semantic Relations: A Relational Context Encoder To Enhance Panoptic Segmentation |
Shubhankar Borse; Hyojin Park; Hong Cai; Debasmit Das; Risheek Garrepalli; Fatih Porikli |
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| 126a | Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers |
Zhiqi Li; Wenhai Wang; Enze Xie; Zhiding Yu; Anima Anandkumar; Jose M. Alvarez; Ping Luo; Tong Lu |
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| 127a | Masked-Attention Mask Transformer for Universal Image Segmentation |
Bowen Cheng; Ishan Misra; Alexander G. Schwing; Alexander Kirillov; Rohit Girdhar |
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| 128a | FocalClick: Towards Practical Interactive Image Segmentation |
Xi Chen; Zhiyan Zhao; Yilei Zhang; Manni Duan; Donglian Qi; Hengshuang Zhao |
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| 129a | High Quality Segmentation for Ultra High-Resolution Images |
Tiancheng Shen; Yuechen Zhang; Lu Qi; Jason Kuen; Xingyu Xie; Jianlong Wu; Zhe Lin; Jiaya Jia |
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| 130a | Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks |
Wenwen Pan; Haonan Shi; Zhou Zhao; Jieming Zhu; Xiuqiang He; Zhigeng Pan; Lianli Gao; Jun Yu; Fei Wu; Qi Tian |
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| 131a | Recurrent Dynamic Embedding for Video Object Segmentation |
Mingxing Li; Li Hu; Zhiwei Xiong; Bang Zhang; Pan Pan; Dong Liu |
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| 132a | Accelerating Video Object Segmentation With Compressed Video | Kai Xu; Angela Yao | |
| 133a | Per-Clip Video Object Segmentation |
Kwanyong Park; Sanghyun Woo; Seoung Wug Oh; In So Kweon; Joon-Young Lee |
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| 134a | SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization |
Zhihui Lin; Tianyu Yang; Maomao Li; Ziyu Wang; Chun Yuan; Wenhao Jiang; Wei Liu |
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| 135a | Neural Recognition of Dashed Curves With Gestalt Law of Continuity |
Hanyuan Liu; Chengze Li; Xueting Liu; Tien-Tsin Wong |
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| 136a | CVNet: Contour Vibration Network for Building Extraction |
Ziqiang Xu; Chunyan Xu; Zhen Cui; Xiangwei Zheng; Jian Yang |
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| 137a | A Keypoint-Based Global Association Network for Lane Detection |
Jinsheng Wang; Yinchao Ma; Shaofei Huang; Tianrui Hui; Fei Wang; Chen Qian; Tianzhu Zhang |
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| 138a | EDTER: Edge Detection With Transformer |
Mengyang Pu; Yaping Huang; Yuming Liu; Qingji Guan; Haibin Ling |
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| 139a | Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction |
Yining Hong; Kaichun Mo; Li Yi; Leonidas J. Guibas; Antonio Torralba; Joshua B. Tenenbaum; Chuang Gan |
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| 140a | Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration |
Aoxiang Fan; Jiayi Ma; Xin Tian; Xiaoguang Mei; Wei Liu |
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| 141a | CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance |
Tianchen Zhao; Niansong Zhang; Xuefei Ning; He Wang; Li Yi; Yu Wang |
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| 142a | FLOAT: Factorized Learning of Object Attributes for Improved Multi-Object Multi-Part Scene Parsing |
Rishubh Singh; Pranav Gupta; Pradeep Shenoy; Ravikiran Sarvadevabhatla |
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| 143a | Rotationally Equivariant 3D Object Detection | Hong-Xing Yu; Jiajun Wu; Li Yi | |
| 144a | AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis | Zhiqin Chen; Kangxue Yin; Sanja Fidler | |
| 3D From Single Images | 145a | Learning To Estimate Robust 3D Human Mesh From In-the-Wild Crowded Scenes |
Hongsuk Choi; Gyeongsik Moon; JoonKyu Park; Kyoung Mu Lee |
| 146a | Human Mesh Recovery From Multiple Shots |
Georgios Pavlakos; Jitendra Malik; Angjoo Kanazawa |
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| 147a | HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network |
JoonKyu Park; Yeonguk Oh; Gyeongsik Moon; Hongsuk Choi; Kyoung Mu Lee |
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| 148a | Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing |
Thiemo Alldieck; Mihai Zanfir; Cristian Sminchisescu |
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| 149a | Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images |
Ayush Tewari; Mallikarjun B R; Xingang Pan; Ohad Fried; Maneesh Agrawala; Christian Theobalt |
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| 150a | NeuralHDHair: Automatic High-Fidelity Hair Modeling From a Single Image Using Implicit Neural Representations |
Keyu Wu; Yifan Ye; Lingchen Yang; Hongbo Fu; Kun Zhou; Youyi Zheng |
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| 151a | Topologically-Aware Deformation Fields for Single-View 3D Reconstruction | Shivam Duggal; Deepak Pathak | |
| 152a | Generating Diverse 3D Reconstructions From a Single Occluded Face Image | Rahul Dey; Vishnu Naresh Boddeti | |
| 153a | LOLNerf: Learn From One Look |
Daniel Rebain; Mark Matthews; Kwang Moo Yi; Dmitry Lagun; Andrea Tagliasacchi |
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| 154a | Learning Local Displacements for Point Cloud Completion |
Yida Wang; David Joseph Tan; Nassir Navab; Federico Tombari |
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| 155a | Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation | Andra Petrovai; Sergiu Nedevschi | |
| 156a | Dimension Embeddings for Monocular 3D Object Detection |
Yunpeng Zhang; Wenzhao Zheng; Zheng Zhu; Guan Huang; Dalong Du; Jie Zhou; Jiwen Lu |
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| 157a | Understanding 3D Object Articulation in Internet Videos |
Shengyi Qian; Linyi Jin; Chris Rockwell; Siyi Chen; David F. Fouhey |
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| 158a | P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior |
Vaishakh Patil; Christos Sakaridis; Alexander Liniger; Luc Van Gool |
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| 159a | Neural Face Identification in a 2D Wireframe Projection of a Manifold Object | Kehan Wang; Jia Zheng; Zihan Zhou | |
| 160a | PanopticDepth: A Unified Framework for Depth-Aware Panoptic Segmentation |
Naiyu Gao; Fei He; Jian Jia; Yanhu Shan; Haoyang Zhang; Xin Zhao; Kaiqi Huang |
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| 161a | Stability-Driven Contact Reconstruction From Monocular Color Images |
Zimeng Zhao; Binghui Zuo; Wei Xie; Yangang Wang |
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| 162a | LGT-Net: Indoor Panoramic Room Layout Estimation With Geometry-Aware Transformer Network |
Zhigang Jiang; Zhongzheng Xiang; Jinhua Xu; Ming Zhao |
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| 163a | Collaborative Learning for Hand and Object Reconstruction With Attention-Guided Graph Convolution |
Tze Ho Elden Tse; Kwang In Kim; Ales̆ Leonardis; Hyung Jin Chang |
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| 164a | RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes | Tak-Wai Hui | |
| 165a | Exploring Geometric Consistency for Monocular 3D Object Detection |
Qing Lian; Botao Ye; Ruijia Xu; Weilong Yao; Tong Zhang |
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| 166a | Learning 3D Object Shape and Layout Without 3D Supervision |
Georgia Gkioxari; Nikhila Ravi; Justin Johnson |
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| 167a | Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures With Uncalibrated Stereo Data |
Nikolay Patakin; Anna Vorontsova; Mikhail Artemyev; Anton Konushin |
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| 168a | Occluded Human Mesh Recovery |
Rawal Khirodkar; Shashank Tripathi; Kris Kitani |
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| 169a | LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints |
Junshu Tang; Zhijun Gong; Ran Yi; Yuan Xie; Lizhuang Ma |
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| 170a | OcclusionFusion: Occlusion-Aware Motion Estimation for Real-Time Dynamic 3D Reconstruction |
Wenbin Lin; Chengwei Zheng; Jun-Hai Yong; Feng Xu |
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| 171a | Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light |
Yuhua Xu; Xiaoli Yang; Yushan Yu; Wei Jia; Zhaobi Chu; Yulan Guo |
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| 172a | Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection |
Mingtao Feng; Kendong Liu; Liang Zhang; Hongshan Yu; Yaonan Wang; Ajmal Mian |
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| Photogrammetry and Remote Sensing | 173a | HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening |
Wele Gedara Chaminda Bandara; Vishal M. Patel |
| 174a | Revisiting Near/Remote Sensing With Geospatial Attention |
Scott Workman; M. Usman Rafique; Hunter Blanton; Nathan Jacobs |
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| 175a | Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening |
Gang Yang; Man Zhou; Keyu Yan; Aiping Liu; Xueyang Fu; Fan Wang |
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| 176a | Mutual Information-Driven Pan-Sharpening |
Man Zhou; Keyu Yan; Jie Huang; Zihe Yang; Xueyang Fu; Feng Zhao |
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| 177a | Sparse and Complete Latent Organization for Geospatial Semantic Segmentation | Fengyu Yang; Chenyang Ma | |
| 178a | The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions |
Dominik Muhle; Lukas Koestler; Nikolaus Demmel; Florian Bernard; Daniel Cremers |
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| 179a | Oriented RepPoints for Aerial Object Detection |
Wentong Li; Yijie Chen; Kaixuan Hu; Jianke Zhu |
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| 180a | Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction | Christina Tsalicoglou; Thomas Rösgen | |
| 181a | PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images |
Stefano Zorzi; Shabab Bazrafkan; Stefan Habenschuss; Friedrich Fraundorfer |
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| 182a | Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites |
Ngoc Long Nguyen; Jérémy Anger; Axel Davy; Pablo Arias; Gabriele Facciolo |
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| Low-Level Vision | 183a | MISF: Multi-Level Interactive Siamese Filtering for High-Fidelity Image Inpainting |
Xiaoguang Li; Qing Guo; Di Lin; Ping Li; Wei Feng; Song Wang |
| 184a | Iterative Deep Homography Estimation |
Si-Yuan Cao; Jianxin Hu; Zehua Sheng; Hui-Liang Shen |
|
| 185a | GCFSR: A Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors |
Jingwen He; Wu Shi; Kai Chen; Lean Fu; Chao Dong |
|
| 186a | Deep Color Consistent Network for Low-Light Image Enhancement |
Zhao Zhang; Huan Zheng; Richang Hong; Mingliang Xu; Shuicheng Yan; Meng Wang |
|
| 187a | LAR-SR: A Local Autoregressive Model for Image Super-Resolution |
Baisong Guo; Xiaoyun Zhang; Haoning Wu; Yu Wang; Ya Zhang; Yan-Feng Wang |
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| 188a | Multi-Scale Memory-Based Video Deblurring | Bo Ji; Angela Yao | |
| 189a | Local Texture Estimator for Implicit Representation Function | Jaewon Lee; Kyong Hwan Jin | |
| 190a | Chitransformer: Towards Reliable Stereo From Cues | Qing Su; Shihao Ji | |
| 191a | BNUDC: A Two-Branched Deep Neural Network for Restoring Images From Under-Display Cameras | Jaihyun Koh; Jangho Lee; Sungroh Yoon | |
| 192a | ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior |
Metin Ersin Arican; Ozgur Kara; Gustav Bredell; Ender Konukoglu |
|
| 193a | IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation |
Lingtong Kong; Boyuan Jiang; Donghao Luo; Wenqing Chu; Xiaoming Huang; Ying Tai; Chengjie Wang; Jie Yang |
|
| 194a | Learning Graph Regularisation for Guided Super-Resolution |
Riccardo de Lutio; Alexander Becker; Stefano D'Aronco; Stefania Russo; Jan D. Wegner; Konrad Schindler |
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| 195a | Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics | Weixi Wang; Ji Li; Hui Ji | |
| 196a | Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation |
Wenbo Zhao; Xianming Liu; Zhiwei Zhong; Junjun Jiang; Wei Gao; Ge Li; Xiangyang Ji |
|
| 197a | Noise Distribution Adaptive Self-Supervised Image Denoising Using Tweedie Distribution and Score Matching |
Kwanyoung Kim; Taesung Kwon; Jong Chul Ye |
|
| 198a | Unpaired Deep Image Deraining Using Dual Contrastive Learning |
Xiang Chen; Jinshan Pan; Kui Jiang; Yufeng Li; Yufeng Huang; Caihua Kong; Longgang Dai; Zhentao Fan |
|
| 199a | Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots |
Zejin Wang; Jiazheng Liu; Guoqing Li; Hua Han |
|
| 200a | Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition |
Yang Yang; Chaoyue Wang; Risheng Liu; Lin Zhang; Xiaojie Guo; Dacheng Tao |
|
| 201a | VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution |
Zeyuan Chen; Yinbo Chen; Jingwen Liu; Xingqian Xu; Vidit Goel; Zhangyang Wang; Humphrey Shi; Xiaolong Wang |
|
| 202a | Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space |
Ryuki Yamamoto; Hidekata Hontani; Akira Imakura; Tatsuya Yokota |
|
| 203a | Exploring and Evaluating Image Restoration Potential in Dynamic Scenes |
Cheng Zhang; Shaolin Su; Yu Zhu; Qingsen Yan; Jinqiu Sun; Yanning Zhang |
|
| 204a | GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation |
Pranjay Shyam; Kyung-Soo Kim; Kuk-Jin Yoon |
|
| 205a | Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method |
Lai Jiang; Yifei Li; Shengxi Li; Mai Xu; Se Lei; Yichen Guo; Bo Huang |
|
| 206a | IDR: Self-Supervised Image Denoising via Iterative Data Refinement |
Yi Zhang; Dasong Li; Ka Lung Law; Xiaogang Wang; Hongwei Qin; Hongsheng Li |
|
| 207a | ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo |
Biwen Lei; Xiefan Guo; Hongyu Yang; Miaomiao Cui; Xuansong Xie; Di Huang |
|
| 208a | Texture-Based Error Analysis for Image Super-Resolution |
Salma Abdel Magid; Zudi Lin; Donglai Wei; Yulun Zhang; Jinjin Gu; Hanspeter Pfister |
|
| 209a | Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel |
Zongsheng Yue; Qian Zhao; Jianwen Xie; Lei Zhang; Deyu Meng; Kwan-Yee K. Wong |
|
| 210a | KNN Local Attention for Image Restoration |
Hunsang Lee; Hyesong Choi; Kwanghoon Sohn; Dongbo Min |
|
| 211a | Can You Spot the Chameleon? Adversarially Camouflaging Images From Co-Salient Object Detection |
Ruijun Gao; Qing Guo; Felix Juefei-Xu; Hongkai Yu; Huazhu Fu; Wei Feng; Yang Liu; Song Wang |
|
| 212a | Zoom in and Out: A Mixed-Scale Triplet Network for Camouflaged Object Detection |
Youwei Pang; Xiaoqi Zhao; Tian-Zhu Xiang; Lihe Zhang; Huchuan Lu |
|
| Behavior Analysis | 213a | Self-Supervised Keypoint Discovery in Behavioral Videos |
Jennifer J. Sun; Serim Ryou; Roni H. Goldshmid; Brandon Weissbourd; John O. Dabiri; David J. Anderson; Ann Kennedy; Yisong Yue; Pietro Perona |
| 214a | Learning To Align Sequential Actions in the Wild |
Weizhe Liu; Bugra Tekin; Huseyin Coskun; Vibhav Vineet; Pascal Fua; Marc Pollefeys |
|
| 215a | Dynamic 3D Gaze From Afar: Deep Gaze Estimation From Temporal Eye-Head-Body Coordination |
Soma Nonaka; Shohei Nobuhara; Ko Nishino |
|
| 216a | End-to-End Human-Gaze-Target Detection With Transformers |
Danyang Tu; Xiongkuo Min; Huiyu Duan; Guodong Guo; Guangtao Zhai; Wei Shen |
|
| 217a | Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis | Albert Tseng; Jennifer J. Sun; Yisong Yue | |
| 218a | MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction |
Mihee Lee; Samuel S. Sohn; Seonghyeon Moon; Sejong Yoon; Mubbasir Kapadia; Vladimir Pavlovic |
|
| 219a | Graph-Based Spatial Transformer With Memory Replay for Multi-Future Pedestrian Trajectory Prediction | Lihuan Li; Maurice Pagnucco; Yang Song | |
| 220a | End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps | Ke Guo; Wenxi Liu; Jia Pan | |
| 221a | Learning Affordance Grounding From Exocentric Images |
Hongchen Luo; Wei Zhai; Jing Zhang; Yang Cao; Dacheng Tao |
|
| Vision Applications & Systems | 222a | 3D Scene Painting via Semantic Image Synthesis |
Jaebong Jeong; Janghun Jo; Sunghyun Cho; Jaesik Park |
| 223a | Learning Invisible Markers for Hidden Codes in Offline-to-Online Photography |
Jun Jia; Zhongpai Gao; Dandan Zhu; Xiongkuo Min; Guangtao Zhai; Xiaokang Yang |
|
| 224a | ETHSeg: An Amodel Instance Segmentation Network and a Real-World Dataset for X-Ray Waste Inspection |
Lingteng Qiu; Zhangyang Xiong; Xuhao Wang; Kenkun Liu; Yihan Li; Guanying Chen; Xiaoguang Han; Shuguang Cui |
|
| 225a | Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches |
Ayan Kumar Bhunia; Viswanatha Reddy Gajjala; Subhadeep Koley; Rohit Kundu; Aneeshan Sain; Tao Xiang; Yi-Zhe Song |
|
| 226a | Image Disentanglement Autoencoder for Steganography Without Embedding |
Xiyao Liu; Ziping Ma; Junxing Ma; Jian Zhang; Gerald Schaefer; Hui Fang |
|
| 227a | Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection | Banghuai Li | |
| 228a | Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning | Yuan-Fu Yang; Min Sun | |
| 229a | Density-Preserving Deep Point Cloud Compression |
Yun He; Xinlin Ren; Danhang Tang; Yinda Zhang; Xiangyang Xue; Yanwei Fu |
|
| 230a | Graph-Context Attention Networks for Size-Varied Deep Graph Matching |
Zheheng Jiang; Hossein Rahmani; Plamen Angelov; Sue Black; Bryan M. Williams |
|
| 231a | TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions |
Jeya Maria Jose Valanarasu; Rajeev Yasarla; Vishal M. Patel |
|
| 232a | ObjectFormer for Image Manipulation Detection and Localization |
Junke Wang; Zuxuan Wu; Jingjing Chen; Xintong Han; Abhinav Shrivastava; Ser-Nam Lim; Yu-Gang Jiang |
|
| 233a | Sequential Voting With Relational Box Fields for Active Object Detection | Qichen Fu; Xingyu Liu; Kris Kitani | |
| 234a | Efficient Classification of Very Large Images With Tiny Objects | Fanjie Kong; Ricardo Henao | |
| 235a | Partially Does It: Towards Scene-Level FG-SBIR With Partial Input |
Pinaki Nath Chowdhury; Ayan Kumar Bhunia; Viswanatha Reddy Gajjala; Aneeshan Sain; Tao Xiang; Yi-Zhe Song |
|
| 236a | Long-Term Visual Map Sparsification With Heterogeneous GNN |
Ming-Fang Chang; Yipu Zhao; Rajvi Shah; Jakob J. Engel; Michael Kaess; Simon Lucey |
|
| 237a | Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association |
Ruize Han; Yiyang Gan; Jiacheng Li; Feifan Wang; Wei Feng; Song Wang |
|
| 238a | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation |
Gwanghyun Kim; Taesung Kwon; Jong Chul Ye |
|
| 239a | Aesthetic Text Logo Synthesis via Content-Aware Layout Inferring |
Yizhi Wang; Guo Pu; Wenhan Luo; Yexin Wang; Pengfei Xiong; Hongwen Kang; Zhouhui Lian |
|
| 240a | Rethinking Image Cropping: Exploring Diverse Compositions From Global Views |
Gengyun Jia; Huaibo Huang; Chaoyou Fu; Ran He |
|
| 241a | Defensive Patches for Robust Recognition in the Physical World |
Jiakai Wang; Zixin Yin; Pengfei Hu; Aishan Liu; Renshuai Tao; Haotong Qin; Xianglong Liu; Dacheng Tao |
|
| 242a | Semi-Supervised Video Paragraph Grounding With Contrastive Encoder |
Xun Jiang; Xing Xu; Jingran Zhang; Fumin Shen; Zuo Cao; Heng Tao Shen |
|
| 243a | Large-Scale Pre-Training for Person Re-Identification With Noisy Labels |
Dengpan Fu; Dongdong Chen; Hao Yang; Jianmin Bao; Lu Yuan; Lei Zhang; Houqiang Li; Fang Wen; Dong Chen |
|
| 244a | Meta Distribution Alignment for Generalizable Person Re-Identification |
Hao Ni; Jingkuan Song; Xiaopeng Luo; Feng Zheng; Wen Li; Heng Tao Shen |
|
| 245a | FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction |
Zhenpei Yang; Zhile Ren; Miguel Angel Bautista; Zaiwei Zhang; Qi Shan; Qixing Huang |
|
| 246a | It’s About Time: Analog Clock Reading in the Wild | Charig Yang; Weidi Xie; Andrew Zisserman | |
| 247a | Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes |
Samrudhdhi B. Rangrej; Chetan L. Srinidhi; James J. Clark |
|
| 248a | SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles |
Ran Xu; Fangzhou Mu; Jayoung Lee; Preeti Mukherjee; Somali Chaterji; Saurabh Bagchi; Yin Li |
|
| 249a | Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction To Treat Diabetic Foot Ulcers |
Han Joo Chae; Seunghwan Lee; Hyewon Son; Seungyeob Han; Taebin Lim |
|
| 250a | Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving |
Hanjiang Hu; Zuxin Liu; Sharad Chitlangia; Akhil Agnihotri; Ding Zhao |