Papers
- Back
C2N: Practical Generative Noise Modeling for Real-World Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Jang_2021_ICCV, author = {Jang, Geonwoon and Lee, Wooseok and Son, Sanghyun and Lee, Kyoung Mu}, title = {C2N: Practical Generative Noise Modeling for Real-World Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2350-2359} }
Continual Learning on Noisy Data Streams via Self-Purified Replay-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Chris Dongjoo and Jeong, Jinseo and Moon, Sangwoo and Kim, Gunhee}, title = {Continual Learning on Noisy Data Streams via Self-Purified Replay}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {537-547} }
PlenOctrees for Real-Time Rendering of Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Alex and Li, Ruilong and Tancik, Matthew and Li, Hao and Ng, Ren and Kanazawa, Angjoo}, title = {PlenOctrees for Real-Time Rendering of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5752-5761} }
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chan_2021_ICCV, author = {Chan, Robin and Rottmann, Matthias and Gottschalk, Hanno}, title = {Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5128-5137} }
Specificity-Preserving RGB-D Saliency Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Tao and Fu, Huazhu and Chen, Geng and Zhou, Yi and Fan, Deng-Ping and Shao, Ling}, title = {Specificity-Preserving RGB-D Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4681-4691} }
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds-
[pdf]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Lichen and Cai, Daigang and Sheng, Lu and Xu, Dong}, title = {3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2928-2937} }
Patch Craft: Video Denoising by Deep Modeling and Patch Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vaksman_2021_ICCV, author = {Vaksman, Gregory and Elad, Michael and Milanfar, Peyman}, title = {Patch Craft: Video Denoising by Deep Modeling and Patch Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2157-2166} }
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Guanyu and Zhang, Jun and Jiang, Xinyang and Gong, Yifei and He, Lianghua and Yu, Fufu and Peng, Pai and Guo, Xiaowei and Huang, Feiyue and Sun, Xing}, title = {Ask\&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1835-1844} }
Exploiting Explanations for Model Inversion Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Xuejun and Zhang, Wencan and Xiao, Xiaokui and Lim, Brian}, title = {Exploiting Explanations for Model Inversion Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {682-692} }
Semantic Diversity Learning for Zero-Shot Multi-Label Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Ben-Cohen_2021_ICCV, author = {Ben-Cohen, Avi and Zamir, Nadav and Ben-Baruch, Emanuel and Friedman, Itamar and Zelnik-Manor, Lihi}, title = {Semantic Diversity Learning for Zero-Shot Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {640-650} }
Describing and Localizing Multiple Changes With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiu_2021_ICCV, author = {Qiu, Yue and Yamamoto, Shintaro and Nakashima, Kodai and Suzuki, Ryota and Iwata, Kenji and Kataoka, Hirokatsu and Satoh, Yutaka}, title = {Describing and Localizing Multiple Changes With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1971-1980} }
Score-Based Point Cloud Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Shitong and Hu, Wei}, title = {Score-Based Point Cloud Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4583-4592} }
Panoptic Segmentation of Satellite Image Time Series With Convolutional Temporal Attention Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Garnot_2021_ICCV, author = {Garnot, Vivien Sainte Fare and Landrieu, Loic}, title = {Panoptic Segmentation of Satellite Image Time Series With Convolutional Temporal Attention Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4872-4881} }
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Wenhai and Xie, Enze and Li, Xiang and Fan, Deng-Ping and Song, Kaitao and Liang, Ding and Lu, Tong and Luo, Ping and Shao, Ling}, title = {Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {568-578} }
Light Source Guided Single-Image Flare Removal From Unpaired Data-
[pdf]
[bibtex]@InProceedings{Qiao_2021_ICCV, author = {Qiao, Xiaotian and Hancke, Gerhard P. and Lau, Rynson W.H.}, title = {Light Source Guided Single-Image Flare Removal From Unpaired Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4177-4185} }
RDI-Net: Relational Dynamic Inference Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Huanyu and Li, Songyuan and Su, Shihao and Qin, Zequn and Li, Xi}, title = {RDI-Net: Relational Dynamic Inference Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4621-4630} }
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Qixing and Huang, Xiangru and Sun, Bo and Zhang, Zaiwei and Jiang, Junfeng and Bajaj, Chandrajit}, title = {ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5815-5825} }
Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Jinheng and Luo, Cheng and Zhu, Xiangping and Jin, Ziqi and Lu, Weizeng and Shen, Linlin}, title = {Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {132-141} }
Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rivoir_2021_ICCV, author = {Rivoir, Dominik and Pfeiffer, Micha and Docea, Reuben and Kolbinger, Fiona and Riediger, Carina and Weitz, J\"urgen and Speidel, Stefanie}, title = {Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3343-3353} }
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series-
[pdf]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yunsong and Zhu, Hongzi and Li, Chunqin and Cui, Tiankai and Chang, Shan and Guo, Minyi}, title = {TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7118-7127} }
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Guangxing and He, Yicheng and Huang, Shiyuan and Ma, Jiawei and Chang, Shih-Fu}, title = {Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3263-3272} }
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Xiaohan and Hao, Tianxiang and Tan, Jianchao and Liu, Ji and Han, Jungong and Guo, Yuchen and Ding, Guiguang}, title = {ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4510-4520} }
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kundu_2021_ICCV, author = {Kundu, Jogendra Nath and Kulkarni, Akshay and Singh, Amit and Jampani, Varun and Babu, R. Venkatesh}, title = {Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7046-7056} }
T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning-
[pdf]
[bibtex]@InProceedings{Zhong_2021_ICCV, author = {Zhong, Zhen and Xiao, Guobao and Zheng, Linxin and Lu, Yan and Ma, Jiayi}, title = {T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1950-1959} }
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Qinghao and Shen, Xiyue and Gao, Yuan and Wang, Zirui and Bi, Qi and Li, Ping and Yang, Guang}, title = {Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7950-7959} }
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Linjie and Lei, Jie and Gan, Zhe and Liu, Jingjing}, title = {Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2042-2051} }
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Rangwani_2021_ICCV, author = {Rangwani, Harsh and Jain, Arihant and Aithal, Sumukh K and Babu, R. Venkatesh}, title = {S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7516-7525} }
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Jiabo and Liu, Yang and Gong, Shaogang and Jin, Hailin}, title = {Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7199-7208} }
Feature Interactive Representation for Point Cloud Registration-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Bingli and Ma, Jie and Chen, Gaojie and An, Pei}, title = {Feature Interactive Representation for Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5530-5539} }
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiang_2021_ICCV, author = {Xiang, Tiange and Zhang, Chaoyi and Song, Yang and Yu, Jianhui and Cai, Weidong}, title = {Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {915-924} }
Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Ziyi and Yu, Zhenming and Xu, Kun and Yuan, Xin}, title = {Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2622-2631} }
Group-Aware Contrastive Regression for Action Quality Assessment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Xumin and Rao, Yongming and Zhao, Wenliang and Lu, Jiwen and Zhou, Jie}, title = {Group-Aware Contrastive Regression for Action Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7919-7928} }
The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Qi_2021_ICCV, author = {Qi, Yuankai and Pan, Zizheng and Hong, Yicong and Yang, Ming-Hsuan and van den Hengel, Anton and Wu, Qi}, title = {The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1655-1664} }
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Haobo and Shen, Yaqi and Xie, Jin and Li, Jun and Qian, Jianjun and Yang, Jian}, title = {Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6128-6137} }
OadTR: Online Action Detection With Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xiang and Zhang, Shiwei and Qing, Zhiwu and Shao, Yuanjie and Zuo, Zhengrong and Gao, Changxin and Sang, Nong}, title = {OadTR: Online Action Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7565-7575} }
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Zunlei and Wang, Zhonghua and Wang, Xinchao and Mao, Yining and Li, Thomas and Lei, Jie and Wang, Yuexuan and Song, Mingli}, title = {Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4036-4045} }
Graph Constrained Data Representation Learning for Human Motion Segmentation-
[pdf]
[bibtex]@InProceedings{Dimiccoli_2021_ICCV, author = {Dimiccoli, Mariella and Garrido, Llu{\'\i}s and Rodriguez-Corominas, Guillem and Wendt, Herwig}, title = {Graph Constrained Data Representation Learning for Human Motion Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1460-1469} }
Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jia_2021_ICCV, author = {Jia, Jian and Chen, Xiaotang and Huang, Kaiqi}, title = {Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {962-971} }
Morphable Detector for Object Detection on Demand-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Xiangyun and Zou, Xu and Wu, Ying}, title = {Morphable Detector for Object Detection on Demand}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4771-4780} }
Stacked Homography Transformations for Multi-View Pedestrian Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Liangchen and Wu, Jialian and Yang, Ming and Zhang, Qian and Li, Yuan and Yuan, Junsong}, title = {Stacked Homography Transformations for Multi-View Pedestrian Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6049-6057} }
Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Difei and Wang, Ruiping and Bai, Ziyi and Chen, Xilin}, title = {Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1675-1685} }
Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zheyuan and Rodriguez-Opazo, Cristian and Teney, Damien and Gould, Stephen}, title = {Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2125-2134} }
Feature Importance-Aware Transferable Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhibo and Guo, Hengchang and Zhang, Zhifei and Liu, Wenxin and Qin, Zhan and Ren, Kui}, title = {Feature Importance-Aware Transferable Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7639-7648} }
Exploring Classification Equilibrium in Long-Tailed Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Chengjian and Zhong, Yujie and Huang, Weilin}, title = {Exploring Classification Equilibrium in Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3417-3426} }
Meta Gradient Adversarial Attack-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Zheng and Zhang, Jie and Jia, Yunpei and Tan, Chuanqi and Xue, Tao and Shan, Shiguang}, title = {Meta Gradient Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7748-7757} }
Differentiable Convolution Search for Point Cloud Processing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nie_2021_ICCV, author = {Nie, Xing and Liu, Yongcheng and Chen, Shaohong and Chang, Jianlong and Huo, Chunlei and Meng, Gaofeng and Tian, Qi and Hu, Weiming and Pan, Chunhong}, title = {Differentiable Convolution Search for Point Cloud Processing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7437-7446} }
Zero-Shot Day-Night Domain Adaptation With a Physics Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lengyel_2021_ICCV, author = {Lengyel, Attila and Garg, Sourav and Milford, Michael and van Gemert, Jan C.}, title = {Zero-Shot Day-Night Domain Adaptation With a Physics Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4399-4409} }
Minimal Solutions for Panoramic Stitching Given Gravity Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Yaqing and Barath, Daniel and Kukelova, Zuzana}, title = {Minimal Solutions for Panoramic Stitching Given Gravity Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5579-5588} }
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation-
[pdf]
[bibtex]@InProceedings{Diba_2021_ICCV, author = {Diba, Ali and Sharma, Vivek and Safdari, Reza and Lotfi, Dariush and Sarfraz, Saquib and Stiefelhagen, Rainer and Van Gool, Luc}, title = {Vi2CLR: Video and Image for Visual Contrastive Learning of Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1502-1512} }
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation-
[pdf]
[supp]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Lewei and Pi, Renjie and Xu, Hang and Zhang, Wei and Li, Zhenguo and Zhang, Tong}, title = {G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3591-3600} }
Normalization Matters in Weakly Supervised Object Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Jeesoo and Choe, Junsuk and Yun, Sangdoo and Kwak, Nojun}, title = {Normalization Matters in Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3427-3436} }
Contrast and Order Representations for Video Self-Supervised Learning-
[pdf]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Kai and Shao, Jie and Liu, Yuan and Raj, Bhiksha and Savvides, Marios and Shen, Zhiqiang}, title = {Contrast and Order Representations for Video Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7939-7949} }
Out-of-Core Surface Reconstruction via Global TGV Minimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poliarnyi_2021_ICCV, author = {Poliarnyi, Nikolai}, title = {Out-of-Core Surface Reconstruction via Global TGV Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5641-5650} }
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice-
[pdf]
[supp]
[bibtex]@InProceedings{Jenner_2021_ICCV, author = {Jenner, Erik and Sanmart{\'\i}n, Enrique Fita and Hamprecht, Fred A.}, title = {Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4602-4611} }
Scaling-Up Disentanglement for Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gabbay_2021_ICCV, author = {Gabbay, Aviv and Hoshen, Yedid}, title = {Scaling-Up Disentanglement for Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6783-6792} }
MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement-
[pdf]
[supp]
[bibtex]@InProceedings{Richard_2021_ICCV, author = {Richard, Alexander and Zollh\"ofer, Michael and Wen, Yandong and de la Torre, Fernando and Sheikh, Yaser}, title = {MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1173-1182} }
Learning a Single Network for Scale-Arbitrary Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Longguang and Wang, Yingqian and Lin, Zaiping and Yang, Jungang and An, Wei and Guo, Yulan}, title = {Learning a Single Network for Scale-Arbitrary Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4801-4810} }
Paint Transformer: Feed Forward Neural Painting With Stroke Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Songhua and Lin, Tianwei and He, Dongliang and Li, Fu and Deng, Ruifeng and Li, Xin and Ding, Errui and Wang, Hao}, title = {Paint Transformer: Feed Forward Neural Painting With Stroke Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6598-6607} }
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-Rigid Structure-From-Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Haitian and Dai, Yuchao and Yu, Xin and Wang, Xiaohan and Yang, Yi}, title = {PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-Rigid Structure-From-Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5600-5609} }
YouRefIt: Embodied Reference Understanding With Language and Gesture-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yixin and Li, Qing and Kong, Deqian and Kei, Yik Lun and Zhu, Song-Chun and Gao, Tao and Zhu, Yixin and Huang, Siyuan}, title = {YouRefIt: Embodied Reference Understanding With Language and Gesture}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1385-1395} }
Omniscient Video Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yi_2021_ICCV, author = {Yi, Peng and Wang, Zhongyuan and Jiang, Kui and Jiang, Junjun and Lu, Tao and Tian, Xin and Ma, Jiayi}, title = {Omniscient Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4429-4438} }
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Jamal_2021_ICCV, author = {Jamal, Muhammad Abdullah and Wang, Liqiang and Gong, Boqing}, title = {A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6577-6586} }
Representative Color Transform for Image Enhancement-
[pdf]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Hanul and Choi, Su-Min and Kim, Chang-Su and Koh, Yeong Jun}, title = {Representative Color Transform for Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4459-4468} }
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Pengchuan and Dai, Xiyang and Yang, Jianwei and Xiao, Bin and Yuan, Lu and Zhang, Lei and Gao, Jianfeng}, title = {Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2998-3008} }
Viewing Graph Solvability via Cycle Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Arrigoni_2021_ICCV, author = {Arrigoni, Federica and Fusiello, Andrea and Ricci, Elisa and Pajdla, Tomas}, title = {Viewing Graph Solvability via Cycle Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5540-5549} }
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam-
[pdf]
[supp]
[bibtex]@InProceedings{Fu_2021_ICCV, author = {Fu, Yonggan and Zhang, Yang and Wang, Yue and Lu, Zhihan and Boominathan, Vivek and Veeraraghavan, Ashok and Lin, Yingyan}, title = {SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5168-5177} }
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2021_ICCV, author = {Xiang, Peng and Wen, Xin and Liu, Yu-Shen and Cao, Yan-Pei and Wan, Pengfei and Zheng, Wen and Han, Zhizhong}, title = {SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5499-5509} }
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Panda_2021_ICCV, author = {Panda, Rameswar and Chen, Chun-Fu (Richard) and Fan, Quanfu and Sun, Ximeng and Saenko, Kate and Oliva, Aude and Feris, Rogerio}, title = {AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7576-7585} }
An End-to-End Transformer Model for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Misra_2021_ICCV, author = {Misra, Ishan and Girdhar, Rohit and Joulin, Armand}, title = {An End-to-End Transformer Model for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2906-2917} }
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives-
[pdf]
[arXiv]
[bibtex]@InProceedings{Saunders_2021_ICCV, author = {Saunders, Ben and Camgoz, Necati Cihan and Bowden, Richard}, title = {Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1919-1929} }
DocFormer: End-to-End Transformer for Document Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Appalaraju_2021_ICCV, author = {Appalaraju, Srikar and Jasani, Bhavan and Kota, Bhargava Urala and Xie, Yusheng and Manmatha, R.}, title = {DocFormer: End-to-End Transformer for Document Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {993-1003} }
Spatially-Adaptive Image Restoration Using Distortion-Guided Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Purohit_2021_ICCV, author = {Purohit, Kuldeep and Suin, Maitreya and Rajagopalan, A. N. and Boddeti, Vishnu Naresh}, title = {Spatially-Adaptive Image Restoration Using Distortion-Guided Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2309-2319} }
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Xinyan and Li, Guorong and Han, Zhenjun and Zhang, Weigang and Yang, Yifan and Huang, Qingming and Sebe, Nicu}, title = {Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3215-3224} }
Multi-Scale Matching Networks for Semantic Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Dongyang and Song, Ziyang and Ji, Zhenghao and Zhao, Gangming and Ge, Weifeng and Yu, Yizhou}, title = {Multi-Scale Matching Networks for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3354-3364} }
Towards Better Explanations of Class Activation Mapping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2021_ICCV, author = {Jung, Hyungsik and Oh, Youngrock}, title = {Towards Better Explanations of Class Activation Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1336-1344} }
Domain Adaptive Video Segmentation via Temporal Consistency Regularization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guan_2021_ICCV, author = {Guan, Dayan and Huang, Jiaxing and Xiao, Aoran and Lu, Shijian}, title = {Domain Adaptive Video Segmentation via Temporal Consistency Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8053-8064} }
PR-Net: Preference Reasoning for Personalized Video Highlight Detection-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Runnan and Zhou, Penghao and Wang, Wenzhe and Chen, Nenglun and Peng, Pai and Sun, Xing and Wang, Wenping}, title = {PR-Net: Preference Reasoning for Personalized Video Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7980-7989} }
Improving Low-Precision Network Quantization via Bin Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Tiantian and Li, Dong and Liu, Ji and Tian, Lu and Shan, Yi}, title = {Improving Low-Precision Network Quantization via Bin Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5261-5270} }
Distilling Virtual Examples for Long-Tailed Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Yin-Yin and Wu, Jianxin and Wei, Xiu-Shen}, title = {Distilling Virtual Examples for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {235-244} }
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Dongyoung and Kim, Jinwoo and Nam, Seonghyeon and Lee, Dongwoo and Lee, Yeonkyung and Kang, Nahyup and Lee, Hyong-Euk and Yoo, ByungIn and Han, Jae-Joon and Kim, Seon Joo}, title = {Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2410-2419} }
A Robust Loss for Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2021_ICCV, author = {Deng, Zhi and Yao, Yuxin and Deng, Bailin and Zhang, Juyong}, title = {A Robust Loss for Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6138-6147} }
PICCOLO: Point Cloud-Centric Omnidirectional Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Junho and Choi, Changwoon and Jang, Hojun and Kim, Young Min}, title = {PICCOLO: Point Cloud-Centric Omnidirectional Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3313-3323} }
NGC: A Unified Framework for Learning With Open-World Noisy Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Zhi-Fan and Wei, Tong and Jiang, Jianwen and Mao, Chaojie and Tang, Mingqian and Li, Yu-Feng}, title = {NGC: A Unified Framework for Learning With Open-World Noisy Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {62-71} }
Superpoint Network for Point Cloud Oversegmentation-
[pdf]
[bibtex]@InProceedings{Hui_2021_ICCV, author = {Hui, Le and Yuan, Jia and Cheng, Mingmei and Xie, Jin and Zhang, Xiaoya and Yang, Jian}, title = {Superpoint Network for Point Cloud Oversegmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5510-5519} }
Looking Here or There? Gaze Following in 360-Degree Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yunhao and Shen, Wei and Gao, Zhongpai and Zhu, Yucheng and Zhai, Guangtao and Guo, Guodong}, title = {Looking Here or There? Gaze Following in 360-Degree Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3742-3751} }
How To Train Neural Networks for Flare Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Yicheng and He, Qiurui and Xue, Tianfan and Garg, Rahul and Chen, Jiawen and Veeraraghavan, Ashok and Barron, Jonathan T.}, title = {How To Train Neural Networks for Flare Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2239-2247} }
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Yang and Shao, Ruizhi and Zhang, Yuxiang and Yu, Tao and Zheng, Zerong and Dai, Qionghai and Liu, Yebin}, title = {DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6239-6249} }
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Benz_2021_ICCV, author = {Benz, Philipp and Zhang, Chaoning and Kweon, In So}, title = {Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7818-7827} }
Foreground Activation Maps for Weakly Supervised Object Localization-
[pdf]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Meng and Zhang, Tianzhu and Tian, Qi and Zhang, Yongdong and Wu, Feng}, title = {Foreground Activation Maps for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3385-3395} }
GLiT: Neural Architecture Search for Global and Local Image Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Boyu and Li, Peixia and Li, Chuming and Li, Baopu and Bai, Lei and Lin, Chen and Sun, Ming and Yan, Junjie and Ouyang, Wanli}, title = {GLiT: Neural Architecture Search for Global and Local Image Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12-21} }
DeepCAD: A Deep Generative Network for Computer-Aided Design Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Rundi and Xiao, Chang and Zheng, Changxi}, title = {DeepCAD: A Deep Generative Network for Computer-Aided Design Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6772-6782} }
Learning Canonical View Representation for 3D Shape Recognition With Arbitrary Views-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Xin and Gong, Yifei and Wang, Fudong and Sun, Xing and Sun, Jian}, title = {Learning Canonical View Representation for 3D Shape Recognition With Arbitrary Views}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {407-416} }
Fourier Space Losses for Efficient Perceptual Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fuoli_2021_ICCV, author = {Fuoli, Dario and Van Gool, Luc and Timofte, Radu}, title = {Fourier Space Losses for Efficient Perceptual Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2360-2369} }
A Backdoor Attack Against 3D Point Cloud Classifiers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2021_ICCV, author = {Xiang, Zhen and Miller, David J. and Chen, Siheng and Li, Xi and Kesidis, George}, title = {A Backdoor Attack Against 3D Point Cloud Classifiers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7597-7607} }
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Li and Shi, Shaoshuai and Tian, Zhuotao and Lai, Xin and Liu, Shu and Fu, Chi-Wing and Jia, Jiaya}, title = {Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6423-6432} }
Location-Aware Single Image Reflection Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2021_ICCV, author = {Dong, Zheng and Xu, Ke and Yang, Yin and Bao, Hujun and Xu, Weiwei and Lau, Rynson W.H.}, title = {Location-Aware Single Image Reflection Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5017-5026} }
Better Aggregation in Test-Time Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shanmugam_2021_ICCV, author = {Shanmugam, Divya and Blalock, Davis and Balakrishnan, Guha and Guttag, John}, title = {Better Aggregation in Test-Time Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1214-1223} }
Self-Born Wiring for Neural Trees-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Ying and Mao, Feng and Song, Jie and Wang, Xinchao and Wang, Huiqiong and Song, Mingli}, title = {Self-Born Wiring for Neural Trees}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5047-5056} }
Detector-Free Weakly Supervised Grounding by Separation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Arbelle_2021_ICCV, author = {Arbelle, Assaf and Doveh, Sivan and Alfassy, Amit and Shtok, Joseph and Lev, Guy and Schwartz, Eli and Kuehne, Hilde and Levi, Hila Barak and Sattigeri, Prasanna and Panda, Rameswar and Chen, Chun-Fu (Richard) and Bronstein, Alex and Saenko, Kate and Ullman, Shimon and Giryes, Raja and Feris, Rogerio and Karlinsky, Leonid}, title = {Detector-Free Weakly Supervised Grounding by Separation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1801-1812} }
CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zolfaghari_2021_ICCV, author = {Zolfaghari, Mohammadreza and Zhu, Yi and Gehler, Peter and Brox, Thomas}, title = {CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1450-1459} }
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Son_2021_ICCV, author = {Son, Hyeongseok and Lee, Junyong and Cho, Sunghyun and Lee, Seungyong}, title = {Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2642-2650} }
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vargas_2021_ICCV, author = {Vargas, Edwin and Martel, Julien N. P. and Wetzstein, Gordon and Arguello, Henry}, title = {Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2692-2702} }
Learning Hierarchical Graph Neural Networks for Image Clustering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xing_2021_ICCV, author = {Xing, Yifan and He, Tong and Xiao, Tianjun and Wang, Yongxin and Xiong, Yuanjun and Xia, Wei and Wipf, David and Zhang, Zheng and Soatto, Stefano}, title = {Learning Hierarchical Graph Neural Networks for Image Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3467-3477} }
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Chuanjun and Shi, Daming and Shi, Wentian}, title = {Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4439-4448} }
TransView: Inside, Outside, and Across the Cropping View Boundaries-
[pdf]
[bibtex]@InProceedings{Pan_2021_ICCV, author = {Pan, Zhiyu and Cao, Zhiguo and Wang, Kewei and Lu, Hao and Zhong, Weicai}, title = {TransView: Inside, Outside, and Across the Cropping View Boundaries}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4218-4227} }
Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Shuang and Cui, Zhaopeng and Qin, Rongjun}, title = {Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6514-6524} }
Relating Adversarially Robust Generalization to Flat Minima-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stutz_2021_ICCV, author = {Stutz, David and Hein, Matthias and Schiele, Bernt}, title = {Relating Adversarially Robust Generalization to Flat Minima}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7807-7817} }
COMISR: Compression-Informed Video Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yinxiao and Jin, Pengchong and Yang, Feng and Liu, Ce and Yang, Ming-Hsuan and Milanfar, Peyman}, title = {COMISR: Compression-Informed Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2543-2552} }
Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection-
[pdf]
[supp]
[bibtex]@InProceedings{Bulat_2021_ICCV, author = {Bulat, Adrian and Tzimiropoulos, Georgios}, title = {Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5188-5197} }
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Nian and Zhao, Wangbo and Zhang, Dingwen and Han, Junwei and Shao, Ling}, title = {Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4712-4721} }
Finding Representative Interpretations on Convolutional Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lam_2021_ICCV, author = {Lam, Peter Cho-Ho and Chu, Lingyang and Torgonskiy, Maxim and Pei, Jian and Zhang, Yong and Wang, Lanjun}, title = {Finding Representative Interpretations on Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1345-1354} }
AINet: Association Implantation for Superpixel Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yaxiong and Wei, Yunchao and Qian, Xueming and Zhu, Li and Yang, Yi}, title = {AINet: Association Implantation for Superpixel Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7078-7087} }
An Asynchronous Kalman Filter for Hybrid Event Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ziwei and Ng, Yonhon and Scheerlinck, Cedric and Mahony, Robert}, title = {An Asynchronous Kalman Filter for Hybrid Event Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {448-457} }
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhan_2021_ICCV, author = {Zhan, Zheng and Gong, Yifan and Zhao, Pu and Yuan, Geng and Niu, Wei and Wu, Yushu and Zhang, Tianyun and Jayaweera, Malith and Kaeli, David and Ren, Bin and Lin, Xue and Wang, Yanzhi}, title = {Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4821-4831} }
Z-Score Normalization, Hubness, and Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Fei_2021_ICCV, author = {Fei, Nanyi and Gao, Yizhao and Lu, Zhiwu and Xiang, Tao}, title = {Z-Score Normalization, Hubness, and Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {142-151} }
Dense Interaction Learning for Video-Based Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Tianyu and Jin, Xin and Shen, Xu and Huang, Jianqiang and Chen, Zhibo and Hua, Xian-Sheng}, title = {Dense Interaction Learning for Video-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1490-1501} }
Explanations for Occluded Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chockler_2021_ICCV, author = {Chockler, Hana and Kroening, Daniel and Sun, Youcheng}, title = {Explanations for Occluded Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1234-1243} }
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Kai and Liang, Jingyun and Van Gool, Luc and Timofte, Radu}, title = {Designing a Practical Degradation Model for Deep Blind Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4791-4800} }
Unshuffling Data for Improved Generalization in Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Teney_2021_ICCV, author = {Teney, Damien and Abbasnejad, Ehsan and van den Hengel, Anton}, title = {Unshuffling Data for Improved Generalization in Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1417-1427} }
Architecture Disentanglement for Deep Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Jie and Cao, Liujuan and Tong, Tong and Ye, Qixiang and Zhang, Shengchuan and Li, Ke and Huang, Feiyue and Shao, Ling and Ji, Rongrong}, title = {Architecture Disentanglement for Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {672-681} }
Instances As Queries-
[pdf]
[bibtex]@InProceedings{Fang_2021_ICCV, author = {Fang, Yuxin and Yang, Shusheng and Wang, Xinggang and Li, Yu and Fang, Chen and Shan, Ying and Feng, Bin and Liu, Wenyu}, title = {Instances As Queries}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6910-6919} }
Improving De-Raining Generalization via Neural Reorganization-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2021_ICCV, author = {Xiao, Jie and Zhou, Man and Fu, Xueyang and Liu, Aiping and Zha, Zheng-Jun}, title = {Improving De-Raining Generalization via Neural Reorganization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4987-4996} }
3D Shape Generation and Completion Through Point-Voxel Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Linqi and Du, Yilun and Wu, Jiajun}, title = {3D Shape Generation and Completion Through Point-Voxel Diffusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5826-5835} }
Self-Conditioned Probabilistic Learning of Video Rescaling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tian_2021_ICCV, author = {Tian, Yuan and Lu, Guo and Min, Xiongkuo and Che, Zhaohui and Zhai, Guangtao and Guo, Guodong and Gao, Zhiyong}, title = {Self-Conditioned Probabilistic Learning of Video Rescaling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4490-4499} }
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Kai and Dou, Qi}, title = {SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2773-2782} }
Rethinking Deep Image Prior for Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jo_2021_ICCV, author = {Jo, Yeonsik and Chun, Se Young and Choi, Jonghyun}, title = {Rethinking Deep Image Prior for Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5087-5096} }
The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video-
[pdf]
[supp]
[bibtex]@InProceedings{Gideon_2021_ICCV, author = {Gideon, John and Stent, Simon}, title = {The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3995-4004} }
IICNet: A Generic Framework for Reversible Image Conversion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Ka Leong and Xie, Yueqi and Chen, Qifeng}, title = {IICNet: A Generic Framework for Reversible Image Conversion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1991-2000} }
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2021_ICCV, author = {Pan, Zhiyi and Jiang, Peng and Wang, Yunhai and Tu, Changhe and Cohn, Anthony G.}, title = {Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7416-7425} }
Predicting With Confidence on Unseen Distributions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guillory_2021_ICCV, author = {Guillory, Devin and Shankar, Vaishaal and Ebrahimi, Sayna and Darrell, Trevor and Schmidt, Ludwig}, title = {Predicting With Confidence on Unseen Distributions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1134-1144} }
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering-
[pdf]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yiyi and Ren, Tianhe and Zhu, Chaoyang and Sun, Xiaoshuai and Liu, Jianzhuang and Ding, Xinghao and Xu, Mingliang and Ji, Rongrong}, title = {TRAR: Routing the Attention Spans in Transformer for Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2074-2084} }
Embed Me if You Can: A Geometric Perceptron-
[pdf]
[supp]
[bibtex]@InProceedings{Melnyk_2021_ICCV, author = {Melnyk, Pavlo and Felsberg, Michael and Wadenb\"ack, M\r{a}rten}, title = {Embed Me if You Can: A Geometric Perceptron}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1276-1284} }
Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation-
[pdf]
[bibtex]@InProceedings{Wong_2021_ICCV, author = {Wong, Chi-Chong and Vong, Chi-Man}, title = {Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7098-7107} }
Hybrid Neural Fusion for Full-Frame Video Stabilization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yu-Lun and Lai, Wei-Sheng and Yang, Ming-Hsuan and Chuang, Yung-Yu and Huang, Jia-Bin}, title = {Hybrid Neural Fusion for Full-Frame Video Stabilization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2299-2308} }
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise-
[pdf]
[supp]
[bibtex]@InProceedings{Kundu_2021_ICCV, author = {Kundu, Souvik and Pedram, Massoud and Beerel, Peter A.}, title = {HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5209-5218} }
CDNet: Centripetal Direction Network for Nuclear Instance Segmentation-
[pdf]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Hongliang and Huang, Zhongyi and Ding, Yao and Song, Guoli and Wang, Lin and Ren, Qian and Wei, Pengxu and Gao, Zhiqiang and Chen, Jie}, title = {CDNet: Centripetal Direction Network for Nuclear Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4026-4035} }
Group-Free 3D Object Detection via Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Ze and Zhang, Zheng and Cao, Yue and Hu, Han and Tong, Xin}, title = {Group-Free 3D Object Detection via Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2949-2958} }
Learn To Cluster Faces via Pairwise Classification-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Junfu and Qiu, Di and Yan, Pengfei and Wei, Xiaolin}, title = {Learn To Cluster Faces via Pairwise Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3845-3853} }
Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Jiaqi and Zhu, Hanqing and Feng, Chenghao and Liu, Mingjie and Jiang, Zixuan and Chen, Ray T. and Pan, David Z.}, title = {Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5229-5238} }
Greedy Gradient Ensemble for Robust Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Xinzhe and Wang, Shuhui and Su, Chi and Huang, Qingming and Tian, Qi}, title = {Greedy Gradient Ensemble for Robust Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1584-1593} }
On the Hidden Treasure of Dialog in Video Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Engin_2021_ICCV, author = {Engin, Deniz and Schnitzler, Fran\c{c}ois and Duong, Ngoc Q. K. and Avrithis, Yannis}, title = {On the Hidden Treasure of Dialog in Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2064-2073} }
From Culture to Clothing: Discovering the World Events Behind a Century of Fashion Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hsiao_2021_ICCV, author = {Hsiao, Wei-Lin and Grauman, Kristen}, title = {From Culture to Clothing: Discovering the World Events Behind a Century of Fashion Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1066-1075} }
BN-NAS: Neural Architecture Search With Batch Normalization-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Boyu and Li, Peixia and Li, Baopu and Lin, Chen and Li, Chuming and Sun, Ming and Yan, Junjie and Ouyang, Wanli}, title = {BN-NAS: Neural Architecture Search With Batch Normalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {307-316} }
The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention-
[pdf]
[supp]
[bibtex]@InProceedings{Nowara_2021_ICCV, author = {Nowara, Ewa M. and McDuff, Daniel and Veeraraghavan, Ashok}, title = {The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4955-4964} }
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Huisi and Chen, Guilian and Wen, Zhenkun and Qin, Jing}, title = {Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3489-3498} }
Event Stream Super-Resolution via Spatiotemporal Constraint Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Siqi and Feng, Yutong and Li, Yipeng and Jiang, Yu and Zou, Changqing and Gao, Yue}, title = {Event Stream Super-Resolution via Spatiotemporal Constraint Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4480-4489} }
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zang_2021_ICCV, author = {Zang, Yuhang and Huang, Chen and Loy, Chen Change}, title = {FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3457-3466} }
Online-Trained Upsampler for Deep Low Complexity Video Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Klopp_2021_ICCV, author = {Klopp, Jan P. and Liu, Keng-Chi and Chien, Shao-Yi and Chen, Liang-Gee}, title = {Online-Trained Upsampler for Deep Low Complexity Video Compression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7929-7938} }
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion-
[pdf]
[bibtex]@InProceedings{Xiao_2021_ICCV, author = {Xiao, Bin and Wu, Haifeng and Bi, Xiuli}, title = {DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {43-51} }
Interactive Prototype Learning for Egocentric Action Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xiaohan and Zhu, Linchao and Wang, Heng and Yang, Yi}, title = {Interactive Prototype Learning for Egocentric Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8168-8177} }
MBA-VO: Motion Blur Aware Visual Odometry-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Peidong and Zuo, Xingxing and Larsson, Viktor and Pollefeys, Marc}, title = {MBA-VO: Motion Blur Aware Visual Odometry}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5550-5559} }
STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Wen-Cheng and Hu, Min-Chun and Chen, Chu-Song}, title = {STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5966-5975} }
Continual Learning for Image-Based Camera Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Shuzhe and Laskar, Zakaria and Melekhov, Iaroslav and Li, Xiaotian and Kannala, Juho}, title = {Continual Learning for Image-Based Camera Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3252-3262} }
Visual-Textual Attentive Semantic Consistency for Medical Report Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yi and Huang, Lei and Zhou, Tao and Fu, Huazhu and Shao, Ling}, title = {Visual-Textual Attentive Semantic Consistency for Medical Report Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3985-3994} }
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zhaoshuo and Liu, Xingtong and Drenkow, Nathan and Ding, Andy and Creighton, Francis X. and Taylor, Russell H. and Unberath, Mathias}, title = {Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6197-6206} }
Augmenting Depth Estimation With Geospatial Context-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Workman_2021_ICCV, author = {Workman, Scott and Blanton, Hunter}, title = {Augmenting Depth Estimation With Geospatial Context}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4562-4571} }
Explaining Local, Global, and Higher-Order Interactions in Deep Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lerman_2021_ICCV, author = {Lerman, Samuel and Venuto, Charles and Kautz, Henry and Xu, Chenliang}, title = {Explaining Local, Global, and Higher-Order Interactions in Deep Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1224-1233} }
Bias Loss for Mobile Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abrahamyan_2021_ICCV, author = {Abrahamyan, Lusine and Ziatchin, Valentin and Chen, Yiming and Deligiannis, Nikos}, title = {Bias Loss for Mobile Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6556-6566} }
Visual Scene Graphs for Audio Source Separation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chatterjee_2021_ICCV, author = {Chatterjee, Moitreya and Le Roux, Jonathan and Ahuja, Narendra and Cherian, Anoop}, title = {Visual Scene Graphs for Audio Source Separation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1204-1213} }
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations-
[pdf]
[supp]
[bibtex]@InProceedings{Rodriguez_2021_ICCV, author = {Rodr{\'\i}guez, Pau and Caccia, Massimo and Lacoste, Alexandre and Zamparo, Lee and Laradji, Issam and Charlin, Laurent and Vazquez, David}, title = {Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1056-1065} }
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iwase_2021_ICCV, author = {Iwase, Shun and Liu, Xingyu and Khirodkar, Rawal and Yokota, Rio and Kitani, Kris M.}, title = {RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3303-3312} }
How To Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild-
[pdf]
[bibtex]@InProceedings{Kopuklu_2021_ICCV, author = {K\"op\"ukl\"u, Okan and Taseska, Maja and Rigoll, Gerhard}, title = {How To Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1193-1203} }
Just Ask: Learning To Answer Questions From Millions of Narrated Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Antoine and Miech, Antoine and Sivic, Josef and Laptev, Ivan and Schmid, Cordelia}, title = {Just Ask: Learning To Answer Questions From Millions of Narrated Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1686-1697} }
Towards Face Encryption by Generating Adversarial Identity Masks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Xiao and Dong, Yinpeng and Pang, Tianyu and Su, Hang and Zhu, Jun and Chen, Yuefeng and Xue, Hui}, title = {Towards Face Encryption by Generating Adversarial Identity Masks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3897-3907} }
UniT: Multimodal Multitask Learning With a Unified Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Ronghang and Singh, Amanpreet}, title = {UniT: Multimodal Multitask Learning With a Unified Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1439-1449} }
Compressing Visual-Linguistic Model via Knowledge Distillation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fang_2021_ICCV, author = {Fang, Zhiyuan and Wang, Jianfeng and Hu, Xiaowei and Wang, Lijuan and Yang, Yezhou and Liu, Zicheng}, title = {Compressing Visual-Linguistic Model via Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1428-1438} }
Full-Duplex Strategy for Video Object Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ji_2021_ICCV, author = {Ji, Ge-Peng and Fu, Keren and Wu, Zhe and Fan, Deng-Ping and Shen, Jianbing and Shao, Ling}, title = {Full-Duplex Strategy for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4922-4933} }
Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Nianyi and Thapa, Simron and Whyte, Cameron and Reed, Albert W. and Jayasuriya, Suren and Ye, Jinwei}, title = {Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2522-2532} }
BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Verelst_2021_ICCV, author = {Verelst, Thomas and Tuytelaars, Tinne}, title = {BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5158-5167} }
SS-IL: Separated Softmax for Incremental Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Ahn_2021_ICCV, author = {Ahn, Hongjoon and Kwak, Jihwan and Lim, Subin and Bang, Hyeonsu and Kim, Hyojun and Moon, Taesup}, title = {SS-IL: Separated Softmax for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {844-853} }
Multiple Pairwise Ranking Networks for Personalized Video Summarization-
[pdf]
[supp]
[bibtex]@InProceedings{Saquil_2021_ICCV, author = {Saquil, Yassir and Chen, Da and He, Yuan and Li, Chuan and Yang, Yong-Liang}, title = {Multiple Pairwise Ranking Networks for Personalized Video Summarization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1718-1727} }
Robust Trust Region for Weakly Supervised Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Marin_2021_ICCV, author = {Marin, Dmitrii and Boykov, Yuri}, title = {Robust Trust Region for Weakly Supervised Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6608-6618} }
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Alldieck_2021_ICCV, author = {Alldieck, Thiemo and Xu, Hongyi and Sminchisescu, Cristian}, title = {imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5461-5470} }
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution-
[pdf]
[bibtex]@InProceedings{Magid_2021_ICCV, author = {Magid, Salma Abdel and Zhang, Yulun and Wei, Donglai and Jang, Won-Dong and Lin, Zudi and Fu, Yun and Pfister, Hanspeter}, title = {Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4288-4297} }
Self-Knowledge Distillation With Progressive Refinement of Targets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Kyungyul and Ji, ByeongMoon and Yoon, Doyoung and Hwang, Sangheum}, title = {Self-Knowledge Distillation With Progressive Refinement of Targets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6567-6576} }
Towards Flexible Blind JPEG Artifacts Removal-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Jiaxi and Zhang, Kai and Timofte, Radu}, title = {Towards Flexible Blind JPEG Artifacts Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4997-5006} }
HPNet: Deep Primitive Segmentation Using Hybrid Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Siming and Yang, Zhenpei and Ma, Chongyang and Huang, Haibin and Vouga, Etienne and Huang, Qixing}, title = {HPNet: Deep Primitive Segmentation Using Hybrid Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2753-2762} }
Fusion Moves for Graph Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hutschenreiter_2021_ICCV, author = {Hutschenreiter, Lisa and Haller, Stefan and Feineis, Lorenz and Rother, Carsten and Kainm\"uller, Dagmar and Savchynskyy, Bogdan}, title = {Fusion Moves for Graph Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6270-6279} }
Fast Video Moment Retrieval-
[pdf]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Junyu and Xu, Changsheng}, title = {Fast Video Moment Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1523-1532} }
Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Ming and Huang, Xinming and Zhang, Ziming}, title = {Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {194-204} }
Motion-Focused Contrastive Learning of Video Representations-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Rui and Zhang, Yiheng and Qiu, Zhaofan and Yao, Ting and Liu, Dong and Mei, Tao}, title = {Motion-Focused Contrastive Learning of Video Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2105-2114} }
Motion Guided Region Message Passing for Video Captioning-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shaoxiang and Jiang, Yu-Gang}, title = {Motion Guided Region Message Passing for Video Captioning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1543-1552} }
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Peike and Yu, Xin and Yang, Yi}, title = {Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4469-4479} }
Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Zhihao and Li, Zhihao and Xu, Songcen and Tan, Mingkui and Jia, Kui}, title = {Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2783-2792} }
Exploring Cross-Image Pixel Contrast for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Wenguan and Zhou, Tianfei and Yu, Fisher and Dai, Jifeng and Konukoglu, Ender and Van Gool, Luc}, title = {Exploring Cross-Image Pixel Contrast for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7303-7313} }
Pixel Difference Networks for Efficient Edge Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Su_2021_ICCV, author = {Su, Zhuo and Liu, Wenzhe and Yu, Zitong and Hu, Dewen and Liao, Qing and Tian, Qi and Pietik\"ainen, Matti and Liu, Li}, title = {Pixel Difference Networks for Efficient Edge Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5117-5127} }
Towards Understanding the Generative Capability of Adversarially Robust Classifiers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Yao and Ma, Jiacheng and Sun, Jiacheng and Chen, Zewei and Jiang, Rongxin and Chen, Yaowu and Li, Zhenguo}, title = {Towards Understanding the Generative Capability of Adversarially Robust Classifiers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7728-7737} }
Learning Efficient Photometric Feature Transform for Multi-View Stereo-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kang_2021_ICCV, author = {Kang, Kaizhang and Xie, Cihui and Zhu, Ruisheng and Ma, Xiaohe and Tan, Ping and Wu, Hongzhi and Zhou, Kun}, title = {Learning Efficient Photometric Feature Transform for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5956-5965} }
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost Aggregation-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Zhicong and Hu, Xuemei and Xue, Zhou and Xu, Weizhu and Yue, Tao}, title = {Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost Aggregation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6320-6329} }
Transformer-Based Dual Relation Graph for Multi-Label Image Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Jiawei and Yan, Ke and Zhao, Yifan and Guo, Xiaowei and Huang, Feiyue and Li, Jia}, title = {Transformer-Based Dual Relation Graph for Multi-Label Image Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {163-172} }
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Jeppesen_2021_ICCV, author = {Jeppesen, Niels and Jensen, Patrick M. and Christensen, Anders N. and Dahl, Anders B. and Dahl, Vedrana A.}, title = {Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6260-6269} }
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Jiahe and Li, Yali and Wang, Shengjin}, title = {Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2187-2196} }
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Biertimpel_2021_ICCV, author = {Biertimpel, David and Shkodrani, Sindi and Baslamisli, Anil S. and Baka, N\'ora}, title = {Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2824-2833} }
A Dark Flash Normal Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2021_ICCV, author = {Xia, Zhihao and Lawrence, Jason and Achar, Supreeth}, title = {A Dark Flash Normal Camera}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2430-2439} }
Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations and Parametric Motion Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Reed_2021_ICCV, author = {Reed, Albert W. and Kim, Hyojin and Anirudh, Rushil and Mohan, K. Aditya and Champley, Kyle and Kang, Jingu and Jayasuriya, Suren}, title = {Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations and Parametric Motion Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2258-2268} }
Pri3D: Can 3D Priors Help 2D Representation Learning?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hou_2021_ICCV, author = {Hou, Ji and Xie, Saining and Graham, Benjamin and Dai, Angela and Nie{\ss}ner, Matthias}, title = {Pri3D: Can 3D Priors Help 2D Representation Learning?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5693-5702} }
PoGO-Net: Pose Graph Optimization With Graph Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Xinyi and Ling, Haibin}, title = {PoGO-Net: Pose Graph Optimization With Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5895-5905} }
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Lin and Luo, Yong and Bai, Yan and Du, Bo and Duan, Ling-Yu}, title = {Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4420-4428} }
Self-Supervised Video Object Segmentation by Motion Grouping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Charig and Lamdouar, Hala and Lu, Erika and Zisserman, Andrew and Xie, Weidi}, title = {Self-Supervised Video Object Segmentation by Motion Grouping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7177-7188} }
End-to-End Piece-Wise Unwarping of Document Images-
[pdf]
[bibtex]@InProceedings{Das_2021_ICCV, author = {Das, Sagnik and Singh, Kunwar Yashraj and Wu, Jon and Bas, Erhan and Mahadevan, Vijay and Bhotika, Rahul and Samaras, Dimitris}, title = {End-to-End Piece-Wise Unwarping of Document Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4268-4277} }
4D Cloud Scattering Tomography-
[pdf]
[supp]
[bibtex]@InProceedings{Ronen_2021_ICCV, author = {Ronen, Roi and Schechner, Yoav Y. and Eytan, Eshkol}, title = {4D Cloud Scattering Tomography}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5520-5529} }
De-Rendering Stylized Texts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shimoda_2021_ICCV, author = {Shimoda, Wataru and Haraguchi, Daichi and Uchida, Seiichi and Yamaguchi, Kota}, title = {De-Rendering Stylized Texts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1076-1085} }
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Yudong and Chen, Keyu and Liang, Sen and Liu, Yong-Jin and Bao, Hujun and Zhang, Juyong}, title = {AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5784-5794} }
Graph-Based Asynchronous Event Processing for Rapid Object Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yijin and Zhou, Han and Yang, Bangbang and Zhang, Ye and Cui, Zhaopeng and Bao, Hujun and Zhang, Guofeng}, title = {Graph-Based Asynchronous Event Processing for Rapid Object Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {934-943} }
Learning With Noisy Labels via Sparse Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Xiong and Liu, Xianming and Wang, Chenyang and Zhai, Deming and Jiang, Junjun and Ji, Xiangyang}, title = {Learning With Noisy Labels via Sparse Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {72-81} }
Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Lian and Ouyang, Wanli and Bennamoun, Mohammed and Boussaid, Farid and Sohel, Ferdous and Xu, Dan}, title = {Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6984-6993} }
Improving 3D Object Detection With Channel-Wise Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sheng_2021_ICCV, author = {Sheng, Hualian and Cai, Sijia and Liu, Yuan and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng and Zhao, Min-Jian}, title = {Improving 3D Object Detection With Channel-Wise Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2743-2752} }
CanvasVAE: Learning To Generate Vector Graphic Documents-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yamaguchi_2021_ICCV, author = {Yamaguchi, Kota}, title = {CanvasVAE: Learning To Generate Vector Graphic Documents}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5481-5489} }
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Hao and Liu, Shuaicheng and Wang, Guangfu and Liu, Guanghui and Zeng, Bing}, title = {OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3132-3141} }
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Xiaofeng and Li, Site and Ge, Yubin and Ye, Pengyi and You, Jane and Lu, Jun}, title = {Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {764-773} }
Geometry Uncertainty Projection Network for Monocular 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Yan and Ma, Xinzhu and Yang, Lei and Zhang, Tianzhu and Liu, Yating and Chu, Qi and Yan, Junjie and Ouyang, Wanli}, title = {Geometry Uncertainty Projection Network for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3111-3121} }
A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy-
[pdf]
[supp]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Bintao and Zhang, Fa and Zhang, Huanshui and Han, Renmin}, title = {A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2682-2691} }
Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Guohao and Zhang, Jun and Li, Heshan and Wang, Danwei}, title = {Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {885-894} }
Learning With Noisy Labels for Robust Point Cloud Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Shuquan and Chen, Dongdong and Han, Songfang and Liao, Jing}, title = {Learning With Noisy Labels for Robust Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6443-6452} }
Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, He and Wildes, Richard P.}, title = {Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7629-7638} }
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Xiaogang and Zhao, Hengshuang and Jia, Jiaya}, title = {Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7486-7495} }
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yuhang and Zhu, Feng and Gong, Ruihao and Shen, Mingzhu and Dong, Xin and Yu, Fengwei and Lu, Shaoqing and Gu, Shi}, title = {MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4410-4419} }
LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zhijian and Stent, Simon and Li, Jie and Gideon, John and Han, Song}, title = {LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2167-2176} }
Weakly Supervised Segmentation of Small Buildings With Point Labels-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Jae-Hun and Kim, ChanYoung and Sull, Sanghoon}, title = {Weakly Supervised Segmentation of Small Buildings With Point Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7406-7415} }
Efficient Large Scale Inlier Voting for Geometric Vision Problems-
[pdf]
[arXiv]
[bibtex]@InProceedings{Aiger_2021_ICCV, author = {Aiger, Dror and Lynen, Simon and Hosang, Jan and Zeisl, Bernhard}, title = {Efficient Large Scale Inlier Voting for Geometric Vision Problems}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3243-3251} }
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lan_2021_ICCV, author = {Lan, Shiyi and Yu, Zhiding and Choy, Christopher and Radhakrishnan, Subhashree and Liu, Guilin and Zhu, Yuke and Davis, Larry S. and Anandkumar, Anima}, title = {DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3406-3416} }
VENet: Voting Enhancement Network for 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Qian and Lai, Yu-Kun and Wu, Jing and Wang, Zhoutao and Lu, Dening and Wei, Mingqiang and Wang, Jun}, title = {VENet: Voting Enhancement Network for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3712-3721} }
Aggregation With Feature Detection-
[pdf]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Shuyang and Yue, Xiaoyu and Qi, Xiaojuan and Ouyang, Wanli and Prisacariu, Victor Adrian and Torr, Philip H.S.}, title = {Aggregation With Feature Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {527-536} }
Multi-Echo LiDAR for 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Man_2021_ICCV, author = {Man, Yunze and Weng, Xinshuo and Sivakumar, Prasanna Kumar and O'Toole, Matthew and Kitani, Kris M.}, title = {Multi-Echo LiDAR for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3763-3772} }
Self-Regulation for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Dong and Zhang, Hanwang and Tang, Jinhui and Hua, Xian-Sheng and Sun, Qianru}, title = {Self-Regulation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6953-6963} }
ReCU: Reviving the Dead Weights in Binary Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Zihan and Lin, Mingbao and Liu, Jianzhuang and Chen, Jie and Shao, Ling and Gao, Yue and Tian, Yonghong and Ji, Rongrong}, title = {ReCU: Reviving the Dead Weights in Binary Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5198-5208} }
Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Zhiyu and Liu, Hui and Hou, Junhui and Zeng, Huanqiang and Zhang, Qingfu}, title = {Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2279-2288} }
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Linjiang and Wang, Liang and Li, Hongsheng}, title = {Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8002-8011} }
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks-
[pdf]
[supp]
[bibtex]@InProceedings{Rame_2021_ICCV, author = {Ram\'e, Alexandre and Sun, R\'emy and Cord, Matthieu}, title = {MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {823-833} }
PnP-DETR: Towards Efficient Visual Analysis With Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tao and Yuan, Li and Chen, Yunpeng and Feng, Jiashi and Yan, Shuicheng}, title = {PnP-DETR: Towards Efficient Visual Analysis With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4661-4670} }
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2021_ICCV, author = {Tan, Bin and Xue, Nan and Bai, Song and Wu, Tianfu and Xia, Gui-Song}, title = {PlaneTR: Structure-Guided Transformers for 3D Plane Recovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4186-4195} }
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Dahye and Hong, Byung-Woo}, title = {Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7324-7334} }
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Wenju and Long, Chengjiang and Wang, Ruisheng and Wang, Guanghui}, title = {DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6383-6392} }
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Garg_2021_ICCV, author = {Garg, Isha and Chowdhury, Sayeed Shafayet and Roy, Kaushik}, title = {DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4671-4680} }
Learning To Resize Images for Computer Vision Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Talebi_2021_ICCV, author = {Talebi, Hossein and Milanfar, Peyman}, title = {Learning To Resize Images for Computer Vision Tasks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {497-506} }
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Zhidong and Zhang, Fa and Han, Renmin}, title = {Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4056-4065} }
Field of Junctions: Extracting Boundary Structure at Low SNR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Verbin_2021_ICCV, author = {Verbin, Dor and Zickler, Todd}, title = {Field of Junctions: Extracting Boundary Structure at Low SNR}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6869-6878} }
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies-
[pdf]
[supp]
[bibtex]@InProceedings{Roberts_2021_ICCV, author = {Roberts, Dominic and Danielyan, Ara and Chu, Hang and Golparvar-Fard, Mani and Forsyth, David}, title = {LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5836-5845} }
Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Dongha and Yu, Sehun and Ju, Hyunjun and Yu, Hwanjo}, title = {Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7355-7364} }
Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Ruifei and Yang, Jihan and Qi, Xiaojuan}, title = {Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6930-6940} }
Visformer: The Vision-Friendly Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zhengsu and Xie, Lingxi and Niu, Jianwei and Liu, Xuefeng and Wei, Longhui and Tian, Qi}, title = {Visformer: The Vision-Friendly Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {589-598} }
OpenGAN: Open-Set Recognition via Open Data Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2021_ICCV, author = {Kong, Shu and Ramanan, Deva}, title = {OpenGAN: Open-Set Recognition via Open Data Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {813-822} }
Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abuolaim_2021_ICCV, author = {Abuolaim, Abdullah and Delbracio, Mauricio and Kelly, Damien and Brown, Michael S. and Milanfar, Peyman}, title = {Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2289-2298} }
Mining Contextual Information Beyond Image for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2021_ICCV, author = {Jin, Zhenchao and Gong, Tao and Yu, Dongdong and Chu, Qi and Wang, Jian and Wang, Changhu and Shao, Jie}, title = {Mining Contextual Information Beyond Image for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7231-7241} }
Dynamic Dual Gating Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Fanrong and Li, Gang and He, Xiangyu and Cheng, Jian}, title = {Dynamic Dual Gating Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5330-5339} }
Going Deeper With Image Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Touvron_2021_ICCV, author = {Touvron, Hugo and Cord, Matthieu and Sablayrolles, Alexandre and Synnaeve, Gabriel and J\'egou, Herv\'e}, title = {Going Deeper With Image Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {32-42} }
MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Piao_2021_ICCV, author = {Piao, Yongri and Wang, Jian and Zhang, Miao and Lu, Huchuan}, title = {MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4136-4145} }
DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2021_ICCV, author = {Bao, Wentao and Yu, Qi and Kong, Yu}, title = {DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7619-7628} }
Zero-Shot Natural Language Video Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nam_2021_ICCV, author = {Nam, Jinwoo and Ahn, Daechul and Kang, Dongyeop and Ha, Seong Jong and Choi, Jonghyun}, title = {Zero-Shot Natural Language Video Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1470-1479} }
FFT-OT: A Fast Algorithm for Optimal Transportation-
[pdf]
[supp]
[bibtex]@InProceedings{Lei_2021_ICCV, author = {Lei, Na and Gu, Xianfeng}, title = {FFT-OT: A Fast Algorithm for Optimal Transportation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6280-6289} }
Progressive Correspondence Pruning by Consensus Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Chen and Ge, Yixiao and Zhu, Feng and Zhao, Rui and Li, Hongsheng and Salzmann, Mathieu}, title = {Progressive Correspondence Pruning by Consensus Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6464-6473} }
Multiscale Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Haoqi and Xiong, Bo and Mangalam, Karttikeya and Li, Yanghao and Yan, Zhicheng and Malik, Jitendra and Feichtenhofer, Christoph}, title = {Multiscale Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6824-6835} }
Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Taekyung and Choi, Jaehoon and Choi, Seokeon and Jung, Dongki and Kim, Changick}, title = {Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6178-6186} }
Multispectral Illumination Estimation Using Deep Unrolling Network-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yuqi and Fu, Qiang and Heidrich, Wolfgang}, title = {Multispectral Illumination Estimation Using Deep Unrolling Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2672-2681} }
Conditional DETR for Fast Training Convergence-
[pdf]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Depu and Chen, Xiaokang and Fan, Zejia and Zeng, Gang and Li, Houqiang and Yuan, Yuhui and Sun, Lei and Wang, Jingdong}, title = {Conditional DETR for Fast Training Convergence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3651-3660} }
Distilling Global and Local Logits With Densely Connected Relations-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Youmin and Park, Jinbae and Jang, YounHo and Ali, Muhammad and Oh, Tae-Hyun and Bae, Sung-Ho}, title = {Distilling Global and Local Logits With Densely Connected Relations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6290-6300} }
MVTN: Multi-View Transformation Network for 3D Shape Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hamdi_2021_ICCV, author = {Hamdi, Abdullah and Giancola, Silvio and Ghanem, Bernard}, title = {MVTN: Multi-View Transformation Network for 3D Shape Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1-11} }
GNeRF: GAN-Based Neural Radiance Field Without Posed Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Quan and Chen, Anpei and Luo, Haimin and Wu, Minye and Su, Hao and Xu, Lan and He, Xuming and Yu, Jingyi}, title = {GNeRF: GAN-Based Neural Radiance Field Without Posed Camera}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6351-6361} }
ODAM: Object Detection, Association, and Mapping Using Posed RGB Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Kejie and DeTone, Daniel and Chen, Yu Fan (Steven) and Vo, Minh and Reid, Ian and Rezatofighi, Hamid and Sweeney, Chris and Straub, Julian and Newcombe, Richard}, title = {ODAM: Object Detection, Association, and Mapping Using Posed RGB Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5998-6008} }
Dual Contrastive Loss and Attention for GANs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Ning and Liu, Guilin and Dundar, Aysegul and Tao, Andrew and Catanzaro, Bryan and Davis, Larry S. and Fritz, Mario}, title = {Dual Contrastive Loss and Attention for GANs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6731-6742} }
DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Jiehong and Wei, Zewei and Li, Zhihao and Xu, Songcen and Jia, Kui and Li, Yuanqing}, title = {DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3560-3569} }
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Kamath_2021_ICCV, author = {Kamath, Aishwarya and Singh, Mannat and LeCun, Yann and Synnaeve, Gabriel and Misra, Ishan and Carion, Nicolas}, title = {MDETR - Modulated Detection for End-to-End Multi-Modal Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1780-1790} }
Calibrated and Partially Calibrated Semi-Generalized Homographies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhayani_2021_ICCV, author = {Bhayani, Snehal and Sattler, Torsten and Barath, Daniel and Beliansky, Patrik and Heikkil\"a, Janne and Kukelova, Zuzana}, title = {Calibrated and Partially Calibrated Semi-Generalized Homographies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5936-5945} }
The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Birodkar_2021_ICCV, author = {Birodkar, Vighnesh and Lu, Zhichao and Li, Siyang and Rathod, Vivek and Huang, Jonathan}, title = {The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7015-7025} }
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Guile and Gong, Shaogang}, title = {Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6484-6493} }
Causal Attention for Unbiased Visual Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tan and Zhou, Chang and Sun, Qianru and Zhang, Hanwang}, title = {Causal Attention for Unbiased Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3091-3100} }
Detecting Persuasive Atypicality by Modeling Contextual Compatibility-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Meiqi and Hwa, Rebecca and Kovashka, Adriana}, title = {Detecting Persuasive Atypicality by Modeling Contextual Compatibility}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {972-982} }
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding-
[pdf]
[bibtex]@InProceedings{Su_2021_ICCV, author = {Su, Rui and Yu, Qian and Xu, Dong}, title = {STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1533-1542} }
Learning Dual Priors for JPEG Compression Artifacts Removal-
[pdf]
[bibtex]@InProceedings{Fu_2021_ICCV, author = {Fu, Xueyang and Wang, Xi and Liu, Aiping and Han, Junwei and Zha, Zheng-Jun}, title = {Learning Dual Priors for JPEG Compression Artifacts Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4086-4095} }
Searching for Two-Stream Models in Multivariate Space for Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Xinyu and Wang, Heng and Shou, Mike Zheng and Feiszli, Matt and Wang, Zhangyang and Yan, Zhicheng}, title = {Searching for Two-Stream Models in Multivariate Space for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8033-8042} }
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Jae-Han and Lee, Chul and Kim, Chang-Su}, title = {Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5107-5116} }
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhoutao and Xie, Qian and Lai, Yu-Kun and Wu, Jing and Long, Kun and Wang, Jun}, title = {MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3101-3110} }
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Jiarui and Wang, Yizhou and Hwang, Jenq-Neng}, title = {ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {112-121} }
Hyperspectral Image Denoising With Realistic Data-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Tao and Fu, Ying and Li, Cheng}, title = {Hyperspectral Image Denoising With Realistic Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2248-2257} }
Rethinking Noise Synthesis and Modeling in Raw Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yi and Qin, Hongwei and Wang, Xiaogang and Li, Hongsheng}, title = {Rethinking Noise Synthesis and Modeling in Raw Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4593-4601} }
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective-
[pdf]
[bibtex]@InProceedings{Hou_2021_ICCV, author = {Hou, Xuege and Li, Yali and Wang, Shengjin}, title = {Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3692-3701} }
FATNN: Fast and Accurate Ternary Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Peng and Zhuang, Bohan and Shen, Chunhua}, title = {FATNN: Fast and Accurate Ternary Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5219-5228} }
Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Ziteng and Qi, Guo-Jun and Gu, Lin and You, Shaodi and Zhang, Zenghui and Harada, Tatsuya}, title = {Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2553-2562} }
Contrastive Attention Maps for Self-Supervised Co-Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Ki_2021_ICCV, author = {Ki, Minsong and Uh, Youngjung and Choe, Junsuk and Byun, Hyeran}, title = {Contrastive Attention Maps for Self-Supervised Co-Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2803-2812} }
Domain Generalization via Gradient Surgery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mansilla_2021_ICCV, author = {Mansilla, Lucas and Echeveste, Rodrigo and Milone, Diego H. and Ferrante, Enzo}, title = {Domain Generalization via Gradient Surgery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6630-6638} }
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation-
[pdf]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Jingyi and Liu, Bo and Wen, Yunqian and Xie, Rong and Song, Li}, title = {Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3334-3342} }
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2021_ICCV, author = {Bai, Zechen and Nakashima, Yuta and Garcia, Noa}, title = {Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5422-5432} }
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Pengfei and Li, Leida and Wu, Jinjian and Dong, Weisheng and Shi, Guangming}, title = {Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5178-5187} }
GTT-Net: Learned Generalized Trajectory Triangulation-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Xiangyu and Dunn, Enrique}, title = {GTT-Net: Learned Generalized Trajectory Triangulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5795-5804} }
Learning To Remove Refractive Distortions From Underwater Images-
[pdf]
[supp]
[bibtex]@InProceedings{Thapa_2021_ICCV, author = {Thapa, Simron and Li, Nianyi and Ye, Jinwei}, title = {Learning To Remove Refractive Distortions From Underwater Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5007-5016} }
BARF: Bundle-Adjusting Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Chen-Hsuan and Ma, Wei-Chiu and Torralba, Antonio and Lucey, Simon}, title = {BARF: Bundle-Adjusting Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5741-5751} }
LapsCore: Language-Guided Person Search via Color Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Yushuang and Yan, Zizheng and Han, Xiaoguang and Li, Guanbin and Zou, Changqing and Cui, Shuguang}, title = {LapsCore: Language-Guided Person Search via Color Reasoning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1624-1633} }
Deep Permutation Equivariant Structure From Motion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moran_2021_ICCV, author = {Moran, Dror and Koslowsky, Hodaya and Kasten, Yoni and Maron, Haggai and Galun, Meirav and Basri, Ronen}, title = {Deep Permutation Equivariant Structure From Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5976-5986} }
Collaborative Unsupervised Visual Representation Learning From Decentralized Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhuang_2021_ICCV, author = {Zhuang, Weiming and Gan, Xin and Wen, Yonggang and Zhang, Shuai and Yi, Shuai}, title = {Collaborative Unsupervised Visual Representation Learning From Decentralized Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4912-4921} }
DeepPRO: Deep Partial Point Cloud Registration of Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Donghoon and Hamsici, Onur C. and Feng, Steven and Sharma, Prachee and Gernoth, Thorsten}, title = {DeepPRO: Deep Partial Point Cloud Registration of Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5683-5692} }
RECALL: Replay-Based Continual Learning in Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Maracani_2021_ICCV, author = {Maracani, Andrea and Michieli, Umberto and Toldo, Marco and Zanuttigh, Pietro}, title = {RECALL: Replay-Based Continual Learning in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7026-7035} }
Extending Neural P-Frame Codecs for B-Frame Coding-
[pdf]
[supp]
[bibtex]@InProceedings{Pourreza_2021_ICCV, author = {Pourreza, Reza and Cohen, Taco}, title = {Extending Neural P-Frame Codecs for B-Frame Coding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6680-6689} }
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Fei and Liu, Jing and Wang, Weining and Lu, Hanqing}, title = {HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1698-1707} }
Voxel Transformer for 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Jiageng and Xue, Yujing and Niu, Minzhe and Bai, Haoyue and Feng, Jiashi and Liang, Xiaodan and Xu, Hang and Xu, Chunjing}, title = {Voxel Transformer for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3164-3173} }
Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Yufei and Zhang, Jing and Tao, Dacheng}, title = {Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4842-4851} }
Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Brian and Rouditchenko, Andrew and Duarte, Kevin and Kuehne, Hilde and Thomas, Samuel and Boggust, Angie and Panda, Rameswar and Kingsbury, Brian and Feris, Rogerio and Harwath, David and Glass, James and Picheny, Michael and Chang, Shih-Fu}, title = {Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8012-8021} }
Towards a Universal Model for Cross-Dataset Crowd Counting-
[pdf]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Zhiheng and Hong, Xiaopeng and Wei, Xing and Qiu, Yunfeng and Gong, Yihong}, title = {Towards a Universal Model for Cross-Dataset Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3205-3214} }
Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zhilu and Wang, Haolin and Liu, Ming and Wang, Ruohao and Zhang, Jiawei and Zuo, Wangmeng}, title = {Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4348-4358} }
Context Reasoning Attention Network for Image Super-Resolution-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yulun and Wei, Donglai and Qin, Can and Wang, Huan and Pfister, Hanspeter and Fu, Yun}, title = {Context Reasoning Attention Network for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4278-4287} }
3DeepCT: Learning Volumetric Scattering Tomography of Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Sde-Chen_2021_ICCV, author = {Sde-Chen, Yael and Schechner, Yoav Y. and Holodovsky, Vadim and Eytan, Eshkol}, title = {3DeepCT: Learning Volumetric Scattering Tomography of Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5671-5682} }
EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Jin and Yang, Yixin and Zhou, Chu and Xu, Chao and Shi, Boxin}, title = {EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4882-4891} }
Deep Structured Instance Graph for Distilling Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yixin and Chen, Pengguang and Liu, Shu and Wang, Liwei and Jia, Jiaya}, title = {Deep Structured Instance Graph for Distilling Object Detectors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4359-4368} }
Adversarial Attacks Are Reversible With Natural Supervision-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Chengzhi and Chiquier, Mia and Wang, Hao and Yang, Junfeng and Vondrick, Carl}, title = {Adversarial Attacks Are Reversible With Natural Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {661-671} }
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Yin_2021_ICCV, author = {Yin, Chengxiang and Wu, Kun and Che, Zhengping and Jiang, Bo and Xu, Zhiyuan and Tang, Jian}, title = {Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2177-2186} }
(Just) A Spoonful of Refinements Helps the Registration Error Go Down-
[pdf]
[supp]
[bibtex]@InProceedings{Agostinho_2021_ICCV, author = {Agostinho, S\'ergio and O\v{s}ep, Aljo\v{s}a and Del Bue, Alessio and Leal-Taix\'e, Laura}, title = {(Just) A Spoonful of Refinements Helps the Registration Error Go Down}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6108-6117} }
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps-
[pdf]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Kunyang and Shi, Haoqing and Zhang, Zhengming and Huang, Yongming}, title = {ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7283-7292} }
Heterogeneous Relational Complement for Vehicle Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Jiajian and Zhao, Yifan and Li, Jia and Yan, Ke and Tian, Yonghong}, title = {Heterogeneous Relational Complement for Vehicle Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {205-214} }
Transfusion: A Novel SLAM Method Focused on Transparent Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Yifan and Qiu, Jiaxiong and Ren, Bo}, title = {Transfusion: A Novel SLAM Method Focused on Transparent Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6019-6028} }
Removing Adversarial Noise in Class Activation Feature Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Dawei and Wang, Nannan and Peng, Chunlei and Gao, Xinbo and Wang, Xiaoyu and Yu, Jun and Liu, Tongliang}, title = {Removing Adversarial Noise in Class Activation Feature Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7878-7887} }
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Jingyun and Sun, Guolei and Zhang, Kai and Van Gool, Luc and Timofte, Radu}, title = {Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4096-4105} }
Scene Synthesis via Uncertainty-Driven Attribute Synchronization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Haitao and Zhang, Zaiwei and Yan, Siming and Huang, Haibin and Ma, Chongyang and Zheng, Yi and Bajaj, Chandrajit and Huang, Qixing}, title = {Scene Synthesis via Uncertainty-Driven Attribute Synchronization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5630-5640} }
Adversarial Example Detection Using Latent Neighborhood Graph-
[pdf]
[bibtex]@InProceedings{Abusnaina_2021_ICCV, author = {Abusnaina, Ahmed and Wu, Yuhang and Arora, Sunpreet and Wang, Yizhen and Wang, Fei and Yang, Hao and Mohaisen, David}, title = {Adversarial Example Detection Using Latent Neighborhood Graph}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7687-7696} }
Dynamic View Synthesis From Dynamic Monocular Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Chen and Saraf, Ayush and Kopf, Johannes and Huang, Jia-Bin}, title = {Dynamic View Synthesis From Dynamic Monocular Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5712-5721} }
Learning To Match Features With Seeded Graph Matching Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Hongkai and Luo, Zixin and Zhang, Jiahui and Zhou, Lei and Bai, Xuyang and Hu, Zeyu and Tai, Chiew-Lan and Quan, Long}, title = {Learning To Match Features With Seeded Graph Matching Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6301-6310} }
Anonymizing Egocentric Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Thapar_2021_ICCV, author = {Thapar, Daksh and Nigam, Aditya and Arora, Chetan}, title = {Anonymizing Egocentric Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2320-2329} }
PreDet: Large-Scale Weakly Supervised Pre-Training for Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Ramanathan_2021_ICCV, author = {Ramanathan, Vignesh and Wang, Rui and Mahajan, Dhruv}, title = {PreDet: Large-Scale Weakly Supervised Pre-Training for Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2865-2875} }
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming-
[pdf]
[supp]
[bibtex]@InProceedings{Khani_2021_ICCV, author = {Khani, Mehrdad and Hamadanian, Pouya and Nasr-Esfahany, Arash and Alizadeh, Mohammad}, title = {Real-Time Video Inference on Edge Devices via Adaptive Model Streaming}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4572-4582} }
Multi-Modality Associative Bridging Through Memory: Speech Sound Recollected From Face Video-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Minsu and Hong, Joanna and Park, Se Jin and Ro, Yong Man}, title = {Multi-Modality Associative Bridging Through Memory: Speech Sound Recollected From Face Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {296-306} }
Towards Rotation Invariance in Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kalra_2021_ICCV, author = {Kalra, Agastya and Stoppi, Guy and Brown, Bradley and Agarwal, Rishav and Kadambi, Achuta}, title = {Towards Rotation Invariance in Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3530-3540} }
Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Kweon_2021_ICCV, author = {Kweon, Hyeokjun and Yoon, Sung-Hoon and Kim, Hyeonseong and Park, Daehee and Yoon, Kuk-Jin}, title = {Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6994-7003} }
Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Duo and Lei, Yinjie and Li, Wen and Zhang, Pingping and Guo, Yulan}, title = {Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7108-7117} }
ReconfigISP: Reconfigurable Camera Image Processing Pipeline-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Ke and Li, Zexian and Peng, Yue and Loy, Chen Change and Gu, Jinwei}, title = {ReconfigISP: Reconfigurable Camera Image Processing Pipeline}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4248-4257} }
Video Instance Segmentation With a Propose-Reduce Paradigm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Huaijia and Wu, Ruizheng and Liu, Shu and Lu, Jiangbo and Jia, Jiaya}, title = {Video Instance Segmentation With a Propose-Reduce Paradigm}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1739-1748} }
Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Zhuoyuan and Zhang, Jian and Mou, Chong}, title = {Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4892-4901} }
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Jiapeng and Lei, Jiabao and Xu, Dan and Ma, Feiying and Jia, Kui and Zhang, Lei}, title = {SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6504-6513} }
Move2Hear: Active Audio-Visual Source Separation-
[pdf]
[supp]
[bibtex]@InProceedings{Majumder_2021_ICCV, author = {Majumder, Sagnik and Al-Halah, Ziad and Grauman, Kristen}, title = {Move2Hear: Active Audio-Visual Source Separation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {275-285} }
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Zizhuang and Zhu, Qingtian and Min, Chen and Chen, Yisong and Wang, Guoping}, title = {AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6187-6196} }
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Yuxiang and Shi, Yupeng and Liu, Xiao and Ji, Zhilong and Gao, Yuan and Wu, Zhongqin and Zuo, Wangmeng}, title = {Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6721-6730} }
SSH: A Self-Supervised Framework for Image Harmonization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Yifan and Zhang, He and Zhang, Jianming and Wang, Yilin and Lin, Zhe and Sunkavalli, Kalyan and Chen, Simon and Amirghodsi, Sohrab and Kong, Sarah and Wang, Zhangyang}, title = {SSH: A Self-Supervised Framework for Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4832-4841} }
Learning Multi-Scene Absolute Pose Regression With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shavit_2021_ICCV, author = {Shavit, Yoli and Ferens, Ron and Keller, Yosi}, title = {Learning Multi-Scene Absolute Pose Regression With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2733-2742} }
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yoo_2021_ICCV, author = {Yoo, Jaeyoung and Lee, Hojun and Chung, Inseop and Seo, Geonseok and Kwak, Nojun}, title = {Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3437-3446} }
Defocus Map Estimation and Deblurring From a Single Dual-Pixel Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xin_2021_ICCV, author = {Xin, Shumian and Wadhwa, Neal and Xue, Tianfan and Barron, Jonathan T. and Srinivasan, Pratul P. and Chen, Jiawen and Gkioulekas, Ioannis and Garg, Rahul}, title = {Defocus Map Estimation and Deblurring From a Single Dual-Pixel Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2228-2238} }
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zirui and Jin, Haifeng and Wang, Ting-Hsiang and Zhou, Kaixiong and Hu, Xia}, title = {DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4762-4770} }
FMODetect: Robust Detection of Fast Moving Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Rozumnyi_2021_ICCV, author = {Rozumnyi, Denys and Matas, Ji\v{r}{\'\i} and \v{S}roubek, Filip and Pollefeys, Marc and Oswald, Martin R.}, title = {FMODetect: Robust Detection of Fast Moving Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3541-3549} }
VideoLT: Large-Scale Long-Tailed Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Xing and Wu, Zuxuan and Weng, Zejia and Fu, Huazhu and Chen, Jingjing and Jiang, Yu-Gang and Davis, Larry S.}, title = {VideoLT: Large-Scale Long-Tailed Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7960-7969} }
RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Lue and Xiong, Xuan and Wang, Feng and Wang, Naiyan and Zhang, ZhaoXiang}, title = {RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2918-2927} }
Data-Free Universal Adversarial Perturbation and Black-Box Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Chaoning and Benz, Philipp and Karjauv, Adil and Kweon, In So}, title = {Data-Free Universal Adversarial Perturbation and Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7868-7877} }
Single-Shot Hyperspectral-Depth Imaging With Learned Diffractive Optics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baek_2021_ICCV, author = {Baek, Seung-Hwan and Ikoma, Hayato and Jeon, Daniel S. and Li, Yuqi and Heidrich, Wolfgang and Wetzstein, Gordon and Kim, Min H.}, title = {Single-Shot Hyperspectral-Depth Imaging With Learned Diffractive Optics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2651-2660} }
FaPN: Feature-Aligned Pyramid Network for Dense Image Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Shihua and Lu, Zhichao and Cheng, Ran and He, Cheng}, title = {FaPN: Feature-Aligned Pyramid Network for Dense Image Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {864-873} }
On the Robustness of Vision Transformers to Adversarial Examples-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mahmood_2021_ICCV, author = {Mahmood, Kaleel and Mahmood, Rigel and van Dijk, Marten}, title = {On the Robustness of Vision Transformers to Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7838-7847} }
Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Li and Chen, Yunpeng and Wang, Tao and Yu, Weihao and Shi, Yujun and Jiang, Zi-Hang and Tay, Francis E.H. and Feng, Jiashi and Yan, Shuicheng}, title = {Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {558-567} }
Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition-
[pdf]
[bibtex]@InProceedings{Uppal_2021_ICCV, author = {Uppal, Hardik and Sepas-Moghaddam, Alireza and Greenspan, Michael and Etemad, Ali}, title = {Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3671-3680} }
Online Multi-Granularity Distillation for GAN Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2021_ICCV, author = {Ren, Yuxi and Wu, Jie and Xiao, Xuefeng and Yang, Jianchao}, title = {Online Multi-Granularity Distillation for GAN Compression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6793-6803} }
Influence-Balanced Loss for Imbalanced Visual Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Seulki and Lim, Jongin and Jeon, Younghan and Choi, Jin Young}, title = {Influence-Balanced Loss for Imbalanced Visual Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {735-744} }
Where2Act: From Pixels to Actions for Articulated 3D Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mo_2021_ICCV, author = {Mo, Kaichun and Guibas, Leonidas J. and Mukadam, Mustafa and Gupta, Abhinav and Tulsiani, Shubham}, title = {Where2Act: From Pixels to Actions for Articulated 3D Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6813-6823} }
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Xiaoshi and Averbuch-Elor, Hadar and Sun, Jin and Snavely, Noah}, title = {Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {428-437} }
End-to-End Unsupervised Document Image Blind Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Gangeh_2021_ICCV, author = {Gangeh, Mehrdad J. and Plata, Marcin and Nezhad, Hamid R. Motahari and Duffy, Nigel P}, title = {End-to-End Unsupervised Document Image Blind Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7888-7897} }
Differentiable Dynamic Wirings for Neural Networks-
[pdf]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Kun and Li, Quanquan and Guo, Shaopeng and Chen, Dapeng and Zhou, Aojun and Yu, Fengwei and Liu, Ziwei}, title = {Differentiable Dynamic Wirings for Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {327-336} }
A Simple Framework for 3D Lensless Imaging With Programmable Masks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Yucheng and Hua, Yi and Sankaranarayanan, Aswin C. and Asif, M. Salman}, title = {A Simple Framework for 3D Lensless Imaging With Programmable Masks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2603-2612} }
JEM++: Improved Techniques for Training JEM-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Xiulong and Ji, Shihao}, title = {JEM++: Improved Techniques for Training JEM}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6494-6503} }
Contrast and Classify: Training Robust VQA Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kant_2021_ICCV, author = {Kant, Yash and Moudgil, Abhinav and Batra, Dhruv and Parikh, Devi and Agrawal, Harsh}, title = {Contrast and Classify: Training Robust VQA Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1604-1613} }
Photon-Starved Scene Inference Using Single Photon Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Goyal_2021_ICCV, author = {Goyal, Bhavya and Gupta, Mohit}, title = {Photon-Starved Scene Inference Using Single Photon Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2512-2521} }
Towards Learning Spatially Discriminative Feature Representations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Chaofei and Xiao, Jiayu and Han, Yizeng and Yang, Qisen and Song, Shiji and Huang, Gao}, title = {Towards Learning Spatially Discriminative Feature Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1326-1335} }
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Su_2021_ICCV, author = {Su, Yukun and Sun, Ruizhou and Lin, Guosheng and Wu, Qingyao}, title = {Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7004-7014} }
Temporal Action Detection With Multi-Level Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Baifeng and Dai, Qi and Hoffman, Judy and Saenko, Kate and Darrell, Trevor and Xu, Huijuan}, title = {Temporal Action Detection With Multi-Level Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8022-8032} }
FACIAL: Synthesizing Dynamic Talking Face With Implicit Attribute Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Chenxu and Zhao, Yifan and Huang, Yifei and Zeng, Ming and Ni, Saifeng and Budagavi, Madhukar and Guo, Xiaohu}, title = {FACIAL: Synthesizing Dynamic Talking Face With Implicit Attribute Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3867-3876} }
Unsupervised Deep Video Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sheth_2021_ICCV, author = {Sheth, Dev Yashpal and Mohan, Sreyas and Vincent, Joshua L. and Manzorro, Ramon and Crozier, Peter A. and Khapra, Mitesh M. and Simoncelli, Eero P. and Fernandez-Granda, Carlos}, title = {Unsupervised Deep Video Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1759-1768} }
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hornakova_2021_ICCV, author = {Hornakova, Andrea and Kaiser, Timo and Swoboda, Paul and Rolinek, Michal and Rosenhahn, Bodo and Henschel, Roberto}, title = {Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6330-6340} }
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Das_2021_ICCV, author = {Das, Soumi and Patibandla, Harikrishna and Bhattacharya, Suparna and Bera, Kshounis and Ganguly, Niloy and Bhattacharya, Sourangshu}, title = {TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6341-6350} }
TF-Blender: Temporal Feature Blender for Video Object Detection-
[pdf]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Yiming and Yan, Liqi and Cao, Zhiwen and Liu, Dongfang}, title = {TF-Blender: Temporal Feature Blender for Video Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8138-8147} }
MAAS: Multi-Modal Assignation for Active Speaker Detection-
[pdf]
[bibtex]@InProceedings{Alcazar_2021_ICCV, author = {Alc\'azar, Juan L\'eon and Caba, Fabian and Thabet, Ali K. and Ghanem, Bernard}, title = {MAAS: Multi-Modal Assignation for Active Speaker Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {265-274} }
Multi-Source Domain Adaptation for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Xingxu and Zhao, Sicheng and Xu, Pengfei and Yang, Jufeng}, title = {Multi-Source Domain Adaptation for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3273-3282} }
ShapeConv: Shape-Aware Convolutional Layer for Indoor RGB-D Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Jinming and Leng, Hanchao and Lischinski, Dani and Cohen-Or, Daniel and Tu, Changhe and Li, Yangyan}, title = {ShapeConv: Shape-Aware Convolutional Layer for Indoor RGB-D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7088-7097} }
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Shih-Cheng and Shen, Liyue and Lungren, Matthew P. and Yeung, Serena}, title = {GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3942-3951} }
Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Ni and Han, Junwei and Liu, Nian and Shao, Ling}, title = {Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4167-4176} }
Viewpoint-Agnostic Change Captioning With Cycle Consistency-
[pdf]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Hoeseong and Kim, Jongseok and Lee, Hyungseok and Park, Hyunsung and Kim, Gunhee}, title = {Viewpoint-Agnostic Change Captioning With Cycle Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2095-2104} }
Neural Video Portrait Relighting in Real-Time via Consistency Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Longwen and Zhang, Qixuan and Wu, Minye and Yu, Jingyi and Xu, Lan}, title = {Neural Video Portrait Relighting in Real-Time via Consistency Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {802-812} }
Few-Shot Semantic Segmentation With Cyclic Memory Network-
[pdf]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Guo-Sen and Xiong, Huan and Liu, Jie and Yao, Yazhou and Shao, Ling}, title = {Few-Shot Semantic Segmentation With Cyclic Memory Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7293-7302} }
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Zijia and Elhamifar, Ehsan}, title = {Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8085-8095} }
SOTR: Segmenting Objects With Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Ruohao and Niu, Dantong and Qu, Liao and Li, Zhenbo}, title = {SOTR: Segmenting Objects With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7157-7166} }
Hypergraph Neural Networks for Hypergraph Matching-
[pdf]
[bibtex]@InProceedings{Liao_2021_ICCV, author = {Liao, Xiaowei and Xu, Yong and Ling, Haibin}, title = {Hypergraph Neural Networks for Hypergraph Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1266-1275} }
Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Duo and Tang, Zixin and Xu, Zhenyu and Zheng, Yunan and Liu, Yiguang}, title = {Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5916-5925} }
Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection-
[pdf]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Bingyao and Li, Wanhua and Li, Xiu and Lu, Jiwen and Zhou, Jie}, title = {Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8188-8197} }
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Bo and Huang, Han and Lu, Cheng and Li, Ziwen and Guo, Yandong}, title = {Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {438-447} }
Mutual Supervision for Dense Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Ziteng and Wang, Limin and Wu, Gangshan}, title = {Mutual Supervision for Dense Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3641-3650} }
Orthographic-Perspective Epipolar Geometry-
[pdf]
[supp]
[bibtex]@InProceedings{Larsson_2021_ICCV, author = {Larsson, Viktor and Pollefeys, Marc and Oskarsson, Magnus}, title = {Orthographic-Perspective Epipolar Geometry}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5570-5578} }
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Hongjun and Wang, Jinbao and Chen, Hong Cai and Zhen, Xiantong and Zheng, Feng and Ji, Rongrong and Shao, Ling}, title = {Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6920-6929} }
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chong_2021_ICCV, author = {Chong, Min Jin and Chu, Wen-Sheng and Kumar, Abhishek and Forsyth, David}, title = {Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3887-3896} }
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Jing_2021_ICCV, author = {Jing, Yongcheng and Yang, Yiding and Wang, Xinchao and Song, Mingli and Tao, Dacheng}, title = {Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5301-5310} }
Disentangled High Quality Salient Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Lv and Li, Bo and Zhong, Yijie and Ding, Shouhong and Song, Mofei}, title = {Disentangled High Quality Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3580-3590} }
FREE: Feature Refinement for Generalized Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shiming and Wang, Wenjie and Xia, Beihao and Peng, Qinmu and You, Xinge and Zheng, Feng and Shao, Ling}, title = {FREE: Feature Refinement for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {122-131} }
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Yue and Sebe, Nicu and Wang, Wei}, title = {Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1115-1123} }
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Bin and Dai, Yuchao and He, Mingyi}, title = {SUNet: Symmetric Undistortion Network for Rolling Shutter Correction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4541-4550} }
DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Magnet_2021_ICCV, author = {Magnet, Robin and Ovsjanikov, Maks}, title = {DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3793-3802} }
PixelPyramids: Exact Inference Models From Lossless Image Pyramids-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mahajan_2021_ICCV, author = {Mahajan, Shweta and Roth, Stefan}, title = {PixelPyramids: Exact Inference Models From Lossless Image Pyramids}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6639-6648} }
Deep Blind Video Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2021_ICCV, author = {Pan, Jinshan and Bai, Haoran and Dong, Jiangxin and Zhang, Jiawei and Tang, Jinhui}, title = {Deep Blind Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4811-4820} }
SAT: 2D Semantics Assisted Training for 3D Visual Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Zhengyuan and Zhang, Songyang and Wang, Liwei and Luo, Jiebo}, title = {SAT: 2D Semantics Assisted Training for 3D Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1856-1866} }
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moayeri_2021_ICCV, author = {Moayeri, Mazda and Feizi, Soheil}, title = {Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7677-7686} }
Toward a Visual Concept Vocabulary for GAN Latent Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Schwettmann_2021_ICCV, author = {Schwettmann, Sarah and Hernandez, Evan and Bau, David and Klein, Samuel and Andreas, Jacob and Torralba, Antonio}, title = {Toward a Visual Concept Vocabulary for GAN Latent Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6804-6812} }
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Xiaoyu and Chen, Jeffrey and Zeng, Xiangrui and Liang, Junwei and Li, Chengqi and Liu, Sinuo and Behpour, Sima and Xu, Min}, title = {Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2834-2844} }
Bootstrap Your Own Correspondences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{El_Banani_2021_ICCV, author = {El Banani, Mohamed and Johnson, Justin}, title = {Bootstrap Your Own Correspondences}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6433-6442} }
Detecting Human-Object Relationships in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Ji_2021_ICCV, author = {Ji, Jingwei and Desai, Rishi and Niebles, Juan Carlos}, title = {Detecting Human-Object Relationships in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8106-8116} }
Adaptive Curriculum Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Kong_2021_ICCV, author = {Kong, Yajing and Liu, Liu and Wang, Jun and Tao, Dacheng}, title = {Adaptive Curriculum Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5067-5076} }
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Shu and Ke, Lipeng and Wang, Xin and Lyu, Siwei}, title = {TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7649-7657} }
Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Panteli_2021_ICCV, author = {Panteli, Andreas and Teuwen, Jonas and Horlings, Hugo and Gavves, Efstratios}, title = {Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2813-2823} }
Motion Deblurring With Real Events-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Fang and Yu, Lei and Wang, Bishan and Yang, Wen and Xia, Gui-Song and Jia, Xu and Qiao, Zhendong and Liu, Jianzhuang}, title = {Motion Deblurring With Real Events}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2583-2592} }
Visual Saliency Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Nian and Zhang, Ni and Wan, Kaiyuan and Shao, Ling and Han, Junwei}, title = {Visual Saliency Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4722-4732} }
Event-Based Video Reconstruction Using Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Weng_2021_ICCV, author = {Weng, Wenming and Zhang, Yueyi and Xiong, Zhiwei}, title = {Event-Based Video Reconstruction Using Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2563-2572} }
Naturalistic Physical Adversarial Patch for Object Detectors-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Yu-Chih-Tuan and Kung, Bo-Han and Tan, Daniel Stanley and Chen, Jun-Cheng and Hua, Kai-Lung and Cheng, Wen-Huang}, title = {Naturalistic Physical Adversarial Patch for Object Detectors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7848-7857} }
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Seokju and Rameau, Francois and Pan, Fei and Kweon, In So}, title = {Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4862-4871} }
Gradient Normalization for Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Yi-Lun and Shuai, Hong-Han and Tam, Zhi-Rui and Chiu, Hong-Yu}, title = {Gradient Normalization for Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6373-6382} }
Free-Form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Mingtao and Li, Zhen and Li, Qi and Zhang, Liang and Zhang, XiangDong and Zhu, Guangming and Zhang, Hui and Wang, Yaonan and Mian, Ajmal}, title = {Free-Form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3722-3731} }
The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zou_2021_ICCV, author = {Zou, Zhikang and Ye, Xiaoqing and Du, Liang and Cheng, Xianhui and Tan, Xiao and Zhang, Li and Feng, Jianfeng and Xue, Xiangyang and Ding, Errui}, title = {The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2713-2722} }
SimROD: A Simple Adaptation Method for Robust Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Ramamonjison_2021_ICCV, author = {Ramamonjison, Rindra and Banitalebi-Dehkordi, Amin and Kang, Xinyu and Bai, Xiaolong and Zhang, Yong}, title = {SimROD: A Simple Adaptation Method for Robust Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3570-3579} }
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues-
[pdf]
[supp]
[bibtex]@InProceedings{Julca-Aguilar_2021_ICCV, author = {Julca-Aguilar, Frank and Taylor, Jason and Bijelic, Mario and Mannan, Fahim and Tseng, Ethan and Heide, Felix}, title = {Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2938-2948} }
iMAP: Implicit Mapping and Positioning in Real-Time-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sucar_2021_ICCV, author = {Sucar, Edgar and Liu, Shikun and Ortiz, Joseph and Davison, Andrew J.}, title = {iMAP: Implicit Mapping and Positioning in Real-Time}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6229-6238} }
Conditional Diffusion for Interactive Segmentation-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xi and Zhao, Zhiyan and Yu, Feiwu and Zhang, Yilei and Duan, Manni}, title = {Conditional Diffusion for Interactive Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7345-7354} }
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels-
[pdf]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Jiannan and Shi, Haochen and Kang, Yangyang and Kuang, Kun and Tang, Siliang and Jiang, Zhuoren and Sun, Changlong and Wu, Fei and Zhuang, Yueting}, title = {Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2896-2905} }
Conditional Variational Capsule Network for Open Set Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Yunrui and Camporese, Guglielmo and Yang, Wenjing and Sperduti, Alessandro and Ballan, Lamberto}, title = {Conditional Variational Capsule Network for Open Set Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {103-111} }
Towards Real-World Prohibited Item Detection: A Large-Scale X-Ray Benchmark-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Boying and Zhang, Libo and Wen, Longyin and Liu, Xianglong and Wu, Yanjun}, title = {Towards Real-World Prohibited Item Detection: A Large-Scale X-Ray Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5412-5421} }
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Xiaoyu and Zhang, Bo and Liao, Jing and Sander, Pedro V.}, title = {Let's See Clearly: Contaminant Artifact Removal for Moving Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2011-2020} }
Generating Attribution Maps With Disentangled Masked Backpropagation-
[pdf]
[supp]
[bibtex]@InProceedings{Ruiz_2021_ICCV, author = {Ruiz, Adria and Agudo, Antonio and Moreno-Noguer, Francesc}, title = {Generating Attribution Maps With Disentangled Masked Backpropagation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {905-914} }
Self-Supervised Vessel Segmentation via Adversarial Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Yuxin and Hua, Yang and Deng, Hanming and Song, Tao and Wang, Hao and Xue, Zhengui and Cao, Heng and Ma, Ruhui and Guan, Haibing}, title = {Self-Supervised Vessel Segmentation via Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7536-7545} }
Deep Hybrid Self-Prior for Full 3D Mesh Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Xingkui and Chen, Zhengqing and Fu, Yanwei and Cui, Zhaopeng and Zhang, Yinda}, title = {Deep Hybrid Self-Prior for Full 3D Mesh Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5805-5814} }
Super Resolve Dynamic Scene From Continuous Spike Streams-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Jing and Xie, Jiyu and Xiong, Ruiqin and Zhang, Jian and Yu, Zhaofei and Huang, Tiejun}, title = {Super Resolve Dynamic Scene From Continuous Spike Streams}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2533-2542} }
Harnessing the Conditioning Sensorium for Improved Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nederhood_2021_ICCV, author = {Nederhood, Cooper and Kolkin, Nicholas and Fu, Deqing and Salavon, Jason}, title = {Harnessing the Conditioning Sensorium for Improved Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6752-6761} }
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Maosheng and Xu, Shuangjie and Cao, Tongyi and Chen, Qifeng}, title = {DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7447-7456} }
Spectral Leakage and Rethinking the Kernel Size in CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tomen_2021_ICCV, author = {Tomen, Nergis and van Gemert, Jan C.}, title = {Spectral Leakage and Rethinking the Kernel Size in CNNs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5138-5147} }
High-Fidelity Pluralistic Image Completion With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wan_2021_ICCV, author = {Wan, Ziyu and Zhang, Jingbo and Chen, Dongdong and Liao, Jing}, title = {High-Fidelity Pluralistic Image Completion With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4692-4701} }
Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos-
[pdf]
[bibtex]@InProceedings{Purwanto_2021_ICCV, author = {Purwanto, Didik and Chen, Yie-Tarng and Fang, Wen-Hsien}, title = {Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {173-183} }
Text Is Text, No Matter What: Unifying Text Recognition Using Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2021_ICCV, author = {Bhunia, Ayan Kumar and Sain, Aneeshan and Chowdhury, Pinaki Nath and Song, Yi-Zhe}, title = {Text Is Text, No Matter What: Unifying Text Recognition Using Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {983-992} }
What You Can Learn by Staring at a Blank Wall-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sharma_2021_ICCV, author = {Sharma, Prafull and Aittala, Miika and Schechner, Yoav Y. and Torralba, Antonio and Wornell, Gregory W. and Freeman, William T. and Durand, Fr\'edo}, title = {What You Can Learn by Staring at a Blank Wall}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2330-2339} }
Complementary Patch for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Fei and Gu, Chaochen and Zhang, Chenyue and Dai, Yuchao}, title = {Complementary Patch for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7242-7251} }
Hypercorrelation Squeeze for Few-Shot Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Min_2021_ICCV, author = {Min, Juhong and Kang, Dahyun and Cho, Minsu}, title = {Hypercorrelation Squeeze for Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6941-6952} }
Digging Into Uncertainty in Self-Supervised Multi-View Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Hongbin and Zhou, Zhipeng and Wang, Yali and Kang, Wenxiong and Sun, Baigui and Li, Hao and Qiao, Yu}, title = {Digging Into Uncertainty in Self-Supervised Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6078-6087} }
Rethinking Transformer-Based Set Prediction for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Zhiqing and Cao, Shengcao and Yang, Yiming and Kitani, Kris M.}, title = {Rethinking Transformer-Based Set Prediction for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3611-3620} }
Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yang and Yue, Ziyu and Pan, Jinshan and Su, Zhixun}, title = {Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4753-4761} }
Self-Supervised Image Prior Learning With GMM From a Single Noisy Image-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Haosen and Liu, Xuan and Lu, Jiangbo and Tan, Shan}, title = {Self-Supervised Image Prior Learning With GMM From a Single Noisy Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2845-2854} }
MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Kai and Hong, Lanqing and Xu, Hang and Li, Zhenguo and Yeung, Dit-Yan}, title = {MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7546-7554} }
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Yun_2021_ICCV, author = {Yun, Heeseung and Yu, Youngjae and Yang, Wonsuk and Lee, Kangil and Kim, Gunhee}, title = {Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2031-2041} }
Broaden Your Views for Self-Supervised Video Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Recasens_2021_ICCV, author = {Recasens, Adri\`a and Luc, Pauline and Alayrac, Jean-Baptiste and Wang, Luyu and Strub, Florian and Tallec, Corentin and Malinowski, Mateusz and P\u{a}tr\u{a}ucean, Viorica and Altch\'e, Florent and Valko, Michal and Grill, Jean-Bastien and van den Oord, A\"aron and Zisserman, Andrew}, title = {Broaden Your Views for Self-Supervised Video Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1255-1265} }
Boundary-Sensitive Pre-Training for Temporal Localization in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Mengmeng and P\'erez-R\'ua, Juan-Manuel and Escorcia, Victor and Mart{\'\i}nez, Brais and Zhu, Xiatian and Zhang, Li and Ghanem, Bernard and Xiang, Tao}, title = {Boundary-Sensitive Pre-Training for Temporal Localization in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7220-7230} }
Explainable Video Entailment With Grounded Visual Evidence-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Junwen and Kong, Yu}, title = {Explainable Video Entailment With Grounded Visual Evidence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2021-2030} }
PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Jae Yong and DeGol, Joseph and Zou, Chuhang and Hoiem, Derek}, title = {PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6158-6167} }
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration-
[pdf]
[bibtex]@InProceedings{Min_2021_ICCV, author = {Min, Taewon and Song, Chonghyuk and Kim, Eunseok and Shim, Inwook}, title = {Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5490-5498} }
ELSD: Efficient Line Segment Detector and Descriptor-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Haotian and Luo, Yicheng and Qin, Fangbo and He, Yijia and Liu, Xiao}, title = {ELSD: Efficient Line Segment Detector and Descriptor}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2969-2978} }
V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal-
[pdf]
[bibtex]@InProceedings{Prasad_2021_ICCV, author = {Prasad, B H Pawan and S, Green Rosh K and Boregowda, Lokesh R. and Mitra, Kaushik and Chowdhury, Sanjoy}, title = {V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2390-2399} }
CrackFormer: Transformer Network for Fine-Grained Crack Detection-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Huajun and Miao, Xiangyu and Mertz, Christoph and Xu, Chengzhong and Kong, Hui}, title = {CrackFormer: Transformer Network for Fine-Grained Crack Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3783-3792} }
Factorizing Perception and Policy for Interactive Instruction Following-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2021_ICCV, author = {Singh, Kunal Pratap and Bhambri, Suvaansh and Kim, Byeonghwi and Mottaghi, Roozbeh and Choi, Jonghyun}, title = {Factorizing Perception and Policy for Interactive Instruction Following}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1888-1897} }
Detecting Invisible People-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khurana_2021_ICCV, author = {Khurana, Tarasha and Dave, Achal and Ramanan, Deva}, title = {Detecting Invisible People}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3174-3184} }
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2021_ICCV, author = {Dong, Bowen and Huang, Zitong and Guo, Yuelin and Wang, Qilong and Niu, Zhenxing and Zuo, Wangmeng}, title = {Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2876-2885} }
Group-Wise Inhibition Based Feature Regularization for Robust Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Haozhe and Wu, Haoqian and Xie, Weicheng and Liu, Feng and Shen, Linlin}, title = {Group-Wise Inhibition Based Feature Regularization for Robust Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {478-486} }
Incorporating Convolution Designs Into Visual Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Kun and Guo, Shaopeng and Liu, Ziwei and Zhou, Aojun and Yu, Fengwei and Wu, Wei}, title = {Incorporating Convolution Designs Into Visual Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {579-588} }
CaT: Weakly Supervised Object Detection With Category Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Tianyue and Du, Lianyu and Zhang, Xiaoyun and Chen, Siheng and Zhang, Ya and Wang, Yan-Feng}, title = {CaT: Weakly Supervised Object Detection With Category Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3070-3079} }
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2021_ICCV, author = {Jain, Shipra and Paudel, Danda Pani and Danelljan, Martin and Van Gool, Luc}, title = {Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7426-7436} }
Searching for Robustness: Loss Learning for Noisy Classification Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Boyan and Gouk, Henry and Hospedales, Timothy M.}, title = {Searching for Robustness: Loss Learning for Noisy Classification Tasks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6670-6679} }
Handwriting Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2021_ICCV, author = {Bhunia, Ankan Kumar and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {Handwriting Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1086-1094} }
Dynamic DETR: End-to-End Object Detection With Dynamic Attention-
[pdf]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Xiyang and Chen, Yinpeng and Yang, Jianwei and Zhang, Pengchuan and Yuan, Lu and Zhang, Lei}, title = {Dynamic DETR: End-to-End Object Detection With Dynamic Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2988-2997} }
Watch Only Once: An End-to-End Video Action Detection Framework-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shoufa and Sun, Peize and Xie, Enze and Ge, Chongjian and Wu, Jiannan and Ma, Lan and Shen, Jiajun and Luo, Ping}, title = {Watch Only Once: An End-to-End Video Action Detection Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8178-8187} }
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Shijie and Zhou, Yanying and Yi, Jinhui and Gall, Juergen}, title = {Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1940-1949} }
Point Cloud Augmentation With Weighted Local Transformations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Sihyeon and Lee, Sanghyeok and Hwang, Dasol and Lee, Jaewon and Hwang, Seong Jae and Kim, Hyunwoo J.}, title = {Point Cloud Augmentation With Weighted Local Transformations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {548-557} }
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lang_2021_ICCV, author = {Lang, Oran and Gandelsman, Yossi and Yarom, Michal and Wald, Yoav and Elidan, Gal and Hassidim, Avinatan and Freeman, William T. and Isola, Phillip and Globerson, Amir and Irani, Michal and Mosseri, Inbar}, title = {Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {693-702} }
Exploring Visual Engagement Signals for Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jia_2021_ICCV, author = {Jia, Menglin and Wu, Zuxuan and Reiter, Austin and Cardie, Claire and Belongie, Serge and Lim, Ser-Nam}, title = {Exploring Visual Engagement Signals for Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4206-4217} }
MUSIQ: Multi-Scale Image Quality Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ke_2021_ICCV, author = {Ke, Junjie and Wang, Qifei and Wang, Yilin and Milanfar, Peyman and Yang, Feng}, title = {MUSIQ: Multi-Scale Image Quality Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5148-5157} }
FcaNet: Frequency Channel Attention Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qin_2021_ICCV, author = {Qin, Zequn and Zhang, Pengyi and Wu, Fei and Li, Xi}, title = {FcaNet: Frequency Channel Attention Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {783-792} }
Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Wenzheng and Suganuma, Masanori and Liu, Xing and Shimobayashi, Noriyuki and Maruta, Daisuke and Okatani, Takayuki}, title = {Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6029-6038} }
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation-
[pdf]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Yi and Weng, Yue and Zhu, Fengda and Liang, Xiaodan and Ye, Qixiang and Lu, Yutong and Jiao, Jianbin}, title = {Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1594-1603} }
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Shu and Zhang, Lu and Qi, Jinqing and Lu, Huchuan and Wang, Shuo and Zhang, Xiaoxing}, title = {Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1564-1573} }
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2021_ICCV, author = {Jain, Ajay and Tancik, Matthew and Abbeel, Pieter}, title = {Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5885-5894} }
CrossDet: Crossline Representation for Object Detection-
[pdf]
[bibtex]@InProceedings{Qiu_2021_ICCV, author = {Qiu, Heqian and Li, Hongliang and Wu, Qingbo and Cui, Jianhua and Song, Zichen and Wang, Lanxiao and Zhang, Minjian}, title = {CrossDet: Crossline Representation for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3195-3204} }
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Xiu and Suo, Jinli and Zhang, Weihang and Yuan, Xin and Dai, Qionghai}, title = {Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2613-2621} }
E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks-
[pdf]
[supp]
[bibtex]@InProceedings{Kayser_2021_ICCV, author = {Kayser, Maxime and Camburu, Oana-Maria and Salewski, Leonard and Emde, Cornelius and Do, Virginie and Akata, Zeynep and Lukasiewicz, Thomas}, title = {E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1244-1254} }
Learning Unsupervised Metaformer for Anomaly Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Jhih-Ciang and Chen, Ding-Jie and Fuh, Chiou-Shann and Liu, Tyng-Luh}, title = {Learning Unsupervised Metaformer for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4369-4378} }
HighlightMe: Detecting Highlights From Human-Centric Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bhattacharya_2021_ICCV, author = {Bhattacharya, Uttaran and Wu, Gang and Petrangeli, Stefano and Swaminathan, Viswanathan and Manocha, Dinesh}, title = {HighlightMe: Detecting Highlights From Human-Centric Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8157-8167} }
Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Myungseo and Choi, Jinyoung and Han, Bohyung}, title = {Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2380-2389} }
DeePSD: Automatic Deep Skinning and Pose Space Deformation for 3D Garment Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bertiche_2021_ICCV, author = {Bertiche, Hugo and Madadi, Meysam and Tylson, Emilio and Escalera, Sergio}, title = {DeePSD: Automatic Deep Skinning and Pose Space Deformation for 3D Garment Animation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5471-5480} }
Rethinking Coarse-To-Fine Approach in Single Image Deblurring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cho_2021_ICCV, author = {Cho, Sung-Jin and Ji, Seo-Won and Hong, Jun-Pyo and Jung, Seung-Won and Ko, Sung-Jea}, title = {Rethinking Coarse-To-Fine Approach in Single Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4641-4650} }
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khirodkar_2021_ICCV, author = {Khirodkar, Rawal and Chari, Visesh and Agrawal, Amit and Tyagi, Ambrish}, title = {Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3122-3131} }
Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Jian and Liu, Jin and Ji, Shunping}, title = {Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6148-6157} }
A New Journey From SDRTV to HDRTV-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xiangyu and Zhang, Zhengwen and Ren, Jimmy S. and Tian, Lynhoo and Qiao, Yu and Dong, Chao}, title = {A New Journey From SDRTV to HDRTV}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4500-4509} }
ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shan_2021_ICCV, author = {Shan, Mo and Feng, Qiaojun and Jau, You-Yi and Atanasov, Nikolay}, title = {ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5946-5955} }
SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Liangzhi and Wang, Bowen and Verma, Manisha and Nakashima, Yuta and Kawasaki, Ryo and Nagahara, Hajime}, title = {SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1046-1055} }
Spatio-Temporal Self-Supervised Representation Learning for 3D Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Siyuan and Xie, Yichen and Zhu, Song-Chun and Zhu, Yixin}, title = {Spatio-Temporal Self-Supervised Representation Learning for 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6535-6545} }
Vision-Language Navigation With Random Environmental Mixup-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Chong and Zhu, Fengda and Chang, Xiaojun and Liang, Xiaodan and Ge, Zongyuan and Shen, Yi-Dong}, title = {Vision-Language Navigation With Random Environmental Mixup}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1644-1654} }
Learning To Generate Scene Graph From Natural Language Supervision-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2021_ICCV, author = {Zhong, Yiwu and Shi, Jing and Yang, Jianwei and Xu, Chenliang and Li, Yin}, title = {Learning To Generate Scene Graph From Natural Language Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1823-1834} }
Editing Conditional Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Steven and Zhang, Xiuming and Zhang, Zhoutong and Zhang, Richard and Zhu, Jun-Yan and Russell, Bryan}, title = {Editing Conditional Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5773-5783} }
Global Pooling, More Than Meets the Eye: Position Information Is Encoded Channel-Wise in CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Islam_2021_ICCV, author = {Islam, Md Amirul and Kowal, Matthew and Jia, Sen and Derpanis, Konstantinos G. and Bruce, Neil D. B.}, title = {Global Pooling, More Than Meets the Eye: Position Information Is Encoded Channel-Wise in CNNs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {793-801} }
CvT: Introducing Convolutions to Vision Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Haiping and Xiao, Bin and Codella, Noel and Liu, Mengchen and Dai, Xiyang and Yuan, Lu and Zhang, Lei}, title = {CvT: Introducing Convolutions to Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {22-31} }
Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yi and Kuang, Zhanghui and Liu, Liyang and Chen, Yimin and Zhang, Wayne}, title = {Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6964-6973} }
COTR: Correspondence Transformer for Matching Across Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Wei and Trulls, Eduard and Hosang, Jan and Tagliasacchi, Andrea and Yi, Kwang Moo}, title = {COTR: Correspondence Transformer for Matching Across Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6207-6217} }
End-to-End Semi-Supervised Object Detection With Soft Teacher-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Mengde and Zhang, Zheng and Hu, Han and Wang, Jianfeng and Wang, Lijuan and Wei, Fangyun and Bai, Xiang and Liu, Zicheng}, title = {End-to-End Semi-Supervised Object Detection With Soft Teacher}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3060-3069} }
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Ming and Wang, Pichao and Sun, Zhenhong and Chen, Hesen and Sun, Xiuyu and Qian, Qi and Li, Hao and Jin, Rong}, title = {Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {347-356} }
Virtual Light Transport Matrices for Non-Line-of-Sight Imaging-
[pdf]
[arXiv]
[bibtex]@InProceedings{Marco_2021_ICCV, author = {Marco, Julio and Jarabo, Adrian and Nam, Ji Hyun and Liu, Xiaochun and Cosculluela, Miguel \'Angel and Velten, Andreas and Gutierrez, Diego}, title = {Virtual Light Transport Matrices for Non-Line-of-Sight Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2440-2449} }
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Kun and Chen, Yiming and Huang, Xinmeng and Zhang, Yingya and Pan, Pan and Xu, Yinghui and Yin, Wotao}, title = {DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3029-3039} }
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Shuxian and Shen, Xu and Huang, Jianqiang and Hua, Xian-Sheng}, title = {Video Object Segmentation With Dynamic Memory Networks and Adaptive Object Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8065-8074} }
Augmented Lagrangian Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rony_2021_ICCV, author = {Rony, J\'er\^ome and Granger, Eric and Pedersoli, Marco and Ben Ayed, Ismail}, title = {Augmented Lagrangian Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7738-7747} }
Contrastive Multimodal Fusion With TupleInfoNCE-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yunze and Fan, Qingnan and Zhang, Shanghang and Dong, Hao and Funkhouser, Thomas and Yi, Li}, title = {Contrastive Multimodal Fusion With TupleInfoNCE}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {754-763} }
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhat_2021_ICCV, author = {Bhat, Goutam and Danelljan, Martin and Yu, Fisher and Van Gool, Luc and Timofte, Radu}, title = {Deep Reparametrization of Multi-Frame Super-Resolution and Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2460-2470} }
ViViT: A Video Vision Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Arnab_2021_ICCV, author = {Arnab, Anurag and Dehghani, Mostafa and Heigold, Georg and Sun, Chen and Lu\v{c}i\'c, Mario and Schmid, Cordelia}, title = {ViViT: A Video Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6836-6846} }
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Patashnik_2021_ICCV, author = {Patashnik, Or and Wu, Zongze and Shechtman, Eli and Cohen-Or, Daniel and Lischinski, Dani}, title = {StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2085-2094} }
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Weiwei and Wu, Baoyuan and Zhang, Tianzhu and Zhang, Yong and Zhang, Yongdong}, title = {Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7787-7796} }
Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lecouat_2021_ICCV, author = {Lecouat, Bruno and Ponce, Jean and Mairal, Julien}, title = {Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2370-2379} }
PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation-
[pdf]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Guangyuan and Wang, Huiqun and Chen, Jiaxin and Huang, Di}, title = {PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2793-2802} }
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pu_2021_ICCV, author = {Pu, Mengyang and Huang, Yaping and Guan, Qingji and Ling, Haibin}, title = {RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6879-6888} }
Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?-
[pdf]
[supp]
[bibtex]@InProceedings{Simonelli_2021_ICCV, author = {Simonelli, Andrea and Bul\`o, Samuel Rota and Porzi, Lorenzo and Kontschieder, Peter and Ricci, Elisa}, title = {Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3225-3233} }
On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Brachmann_2021_ICCV, author = {Brachmann, Eric and Humenberger, Martin and Rother, Carsten and Sattler, Torsten}, title = {On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6218-6228} }
An Elastica Geodesic Approach With Convexity Shape Prior-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Da and Cohen, Laurent D. and Mirebeau, Jean-Marie and Tai, Xue-Cheng}, title = {An Elastica Geodesic Approach With Convexity Shape Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6900-6909} }
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Songhua and Lin, Tianwei and He, Dongliang and Li, Fu and Wang, Meiling and Li, Xin and Sun, Zhengxing and Li, Qian and Ding, Errui}, title = {AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6649-6658} }
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Shi-Xue and Zhu, Xiaobin and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng}, title = {Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1305-1314} }
Video Matting via Consistency-Regularized Graph Neural Networks-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tiantian and Liu, Sifei and Tian, Yapeng and Li, Kai and Yang, Ming-Hsuan}, title = {Video Matting via Consistency-Regularized Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4902-4911} }
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Bin and Dai, Yuchao}, title = {Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4228-4237} }
Human Detection and Segmentation via Multi-View Consensus-
[pdf]
[supp]
[bibtex]@InProceedings{Katircioglu_2021_ICCV, author = {Katircioglu, Isinsu and Rhodin, Helge and Sp\"orri, J\"org and Salzmann, Mathieu and Fua, Pascal}, title = {Human Detection and Segmentation via Multi-View Consensus}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2855-2864} }
GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Yi and Yuan, Huan and Tan, Jianchao and Wang, Zhangyang and Yang, Sen and Liu, Ji}, title = {GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5239-5250} }
Multimodal Knowledge Expansion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2021_ICCV, author = {Xue, Zihui and Ren, Sucheng and Gao, Zhengqi and Zhao, Hang}, title = {Multimodal Knowledge Expansion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {854-863} }
Learning To Bundle-Adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM-
[pdf]
[bibtex]@InProceedings{Tanaka_2021_ICCV, author = {Tanaka, Tetsuya and Sasagawa, Yukihiro and Okatani, Takayuki}, title = {Learning To Bundle-Adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6250-6259} }
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Cheng and Pan, Tai-Yu and Li, Yandong and Hu, Hexiang and Xuan, Dong and Changpinyo, Soravit and Gong, Boqing and Chao, Wei-Lun}, title = {MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {417-427} }
Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames-
[pdf]
[supp]
[bibtex]@InProceedings{Shang_2021_ICCV, author = {Shang, Wei and Ren, Dongwei and Zou, Dongqing and Ren, Jimmy S. and Luo, Ping and Zuo, Wangmeng}, title = {Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4531-4540} }
Extreme-Quality Computational Imaging via Degradation Framework-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shiqi and Feng, Huajun and Gao, Keming and Xu, Zhihai and Chen, Yueting}, title = {Extreme-Quality Computational Imaging via Degradation Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2632-2641} }
Attack-Guided Perceptual Data Generation for Real-World Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Yukun and Fu, Xueyang and Zha, Zheng-Jun}, title = {Attack-Guided Perceptual Data Generation for Real-World Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {215-224} }
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation-
[pdf]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Mingfei and Zhao, Kaili and Guo, Xuhong and Xu, Yajing and Guo, Jun}, title = {Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7147-7156} }
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Shuang and Du, Yilun and Torralba, Antonio and Sivic, Josef and Russell, Bryan}, title = {Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1845-1855} }
Generative Layout Modeling Using Constraint Graphs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Para_2021_ICCV, author = {Para, Wamiq and Guerrero, Paul and Kelly, Tom and Guibas, Leonidas J. and Wonka, Peter}, title = {Generative Layout Modeling Using Constraint Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6690-6700} }
ZFlow: Gated Appearance Flow-Based Virtual Try-On With 3D Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chopra_2021_ICCV, author = {Chopra, Ayush and Jain, Rishabh and Hemani, Mayur and Krishnamurthy, Balaji}, title = {ZFlow: Gated Appearance Flow-Based Virtual Try-On With 3D Priors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5433-5442} }
Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Jiaming and Lu, Ming and Chen, Kaixin and Li, Xiaoqi and Wang, Shizun and Wang, Zhaoqing and Wu, Enhua and Chen, Yurong and Zhang, Chuang and Wu, Ming}, title = {Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4631-4640} }
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Banerjee_2021_ICCV, author = {Banerjee, Pratyay and Gokhale, Tejas and Yang, Yezhou and Baral, Chitta}, title = {Weakly Supervised Relative Spatial Reasoning for Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1908-1918} }
Cascade Image Matting With Deformable Graph Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Zijian and Li, Xuhui and Huang, Huijuan and Zheng, Wen and Chen, Li}, title = {Cascade Image Matting With Deformable Graph Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7167-7176} }
Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Hong-Yu and Lu, Chixiang and Yang, Sibei and Han, Xiaoguang and Yu, Yizhou}, title = {Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3499-3509} }
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Qingyu and Wang, Changan and Jiang, Zhengkai and Wang, Yabiao and Tai, Ying and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Wu, Yang}, title = {Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3365-3374} }
The Right To Talk: An Audio-Visual Transformer Approach-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Truong_2021_ICCV, author = {Truong, Thanh-Dat and Duong, Chi Nhan and De Vu, The and Pham, Hoang Anh and Raj, Bhiksha and Le, Ngan and Luu, Khoa}, title = {The Right To Talk: An Audio-Visual Transformer Approach}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1105-1114} }
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Wei and Zhang, Haochen and Yuan, Zehuan and Wang, Changhu}, title = {Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4318-4327} }
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces-
[pdf]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Jianhe and He, Zhihai}, title = {Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7778-7786} }
Vision Transformer With Progressive Sampling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yue_2021_ICCV, author = {Yue, Xiaoyu and Sun, Shuyang and Kuang, Zhanghui and Wei, Meng and Torr, Philip H.S. and Zhang, Wayne and Lin, Dahua}, title = {Vision Transformer With Progressive Sampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {387-396} }
ICON: Learning Regular Maps Through Inverse Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Greer_2021_ICCV, author = {Greer, Hastings and Kwitt, Roland and Vialard, Fran\c{c}ois-Xavier and Niethammer, Marc}, title = {ICON: Learning Regular Maps Through Inverse Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3396-3405} }
Structure-Preserving Deraining With Residue Channel Prior Guidance-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yi_2021_ICCV, author = {Yi, Qiaosi and Li, Juncheng and Dai, Qinyan and Fang, Faming and Zhang, Guixu and Zeng, Tieyong}, title = {Structure-Preserving Deraining With Residue Channel Prior Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4238-4247} }
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Qi and Bai, Chen and Chen, Tinghuan and Geng, Hao and Zhang, Xinyun and Bai, Yang and Yu, Bei}, title = {Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5380-5390} }
RGB-D Saliency Detection via Cascaded Mutual Information Minimization-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Yu, Xin and Zhong, Yiran and Barnes, Nick and Shao, Ling}, title = {RGB-D Saliency Detection via Cascaded Mutual Information Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4338-4347} }
A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Khoi and Todorovic, Sinisa}, title = {A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7396-7405} }
Cross-Camera Convolutional Color Constancy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Afifi_2021_ICCV, author = {Afifi, Mahmoud and Barron, Jonathan T. and LeGendre, Chloe and Tsai, Yun-Ta and Bleibel, Francois}, title = {Cross-Camera Convolutional Color Constancy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1981-1990} }
N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Junho and Bae, Jaehyeok and Park, Gangin and Zhang, Dongsu and Kim, Young Min}, title = {N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2146-2156} }
Who's Waldo? Linking People Across Text and Images-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Yuqing and Khandelwal, Apoorv and Artzi, Yoav and Snavely, Noah and Averbuch-Elor, Hadar}, title = {Who's Waldo? Linking People Across Text and Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1374-1384} }
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Boxiao and Song, Guanglu and Zhang, Manyuan and You, Haihang and Liu, Yu}, title = {Switchable K-Class Hyperplanes for Noise-Robust Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3019-3028} }
BlockPlanner: City Block Generation With Vectorized Graph Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Linning and Xiangli, Yuanbo and Rao, Anyi and Zhao, Nanxuan and Dai, Bo and Liu, Ziwei and Lin, Dahua}, title = {BlockPlanner: City Block Generation With Vectorized Graph Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5077-5086} }
VLGrammar: Grounded Grammar Induction of Vision and Language-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2021_ICCV, author = {Hong, Yining and Li, Qing and Zhu, Song-Chun and Huang, Siyuan}, title = {VLGrammar: Grounded Grammar Induction of Vision and Language}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1665-1674} }
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Le_2021_ICCV, author = {L\^e, Eric-Tuan and Sung, Minhyuk and Ceylan, Duygu and Mech, Radomir and Boubekeur, Tamy and Mitra, Niloy J.}, title = {CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7457-7466} }
Learning Signed Distance Field for Multi-View Surface Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Jingyang and Yao, Yao and Quan, Long}, title = {Learning Signed Distance Field for Multi-View Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6525-6534} }
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Qingxing and Wan, Wentao and Wang, Keze and Liang, Xiaodan and Lin, Liang}, title = {Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1614-1623} }
Neural Articulated Radiance Field-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Noguchi_2021_ICCV, author = {Noguchi, Atsuhiro and Sun, Xiao and Lin, Stephen and Harada, Tatsuya}, title = {Neural Articulated Radiance Field}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5762-5772} }
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher-
[pdf]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Yichen and Wang, Yi}, title = {Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5057-5066} }
A Machine Teaching Framework for Scalable Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Pei and Vasconcelos, Nuno}, title = {A Machine Teaching Framework for Scalable Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4945-4954} }
Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Xi and Xiang, Wangmeng and Zeng, Hui and Zhang, Lei}, title = {Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4781-4790} }
ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Deng and Wu, Wenhao and Hu, Weiwen and Liu, Xu and He, Dongliang and Wu, Zhihua and Wu, Xiangmiao and Tan, Mingkui and Ding, Errui}, title = {ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8096-8105} }
Improving Generalization of Batch Whitening by Convolutional Unit Optimization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cho_2021_ICCV, author = {Cho, Yooshin and Cho, Hanbyel and Kim, Youngsoo and Kim, Junmo}, title = {Improving Generalization of Batch Whitening by Convolutional Unit Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5321-5329} }
Statistically Consistent Saliency Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Shunyan and Barut, Emre and Jin, Fang}, title = {Statistically Consistent Saliency Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {745-753} }
From Contexts to Locality: Ultra-High Resolution Image Segmentation via Locality-Aware Contextual Correlation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Qi and Yang, Weixiang and Liu, Wenxi and Yu, Yuanlong and He, Shengfeng}, title = {From Contexts to Locality: Ultra-High Resolution Image Segmentation via Locality-Aware Contextual Correlation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7252-7261} }
Channel-Wise Knowledge Distillation for Dense Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shu_2021_ICCV, author = {Shu, Changyong and Liu, Yifan and Gao, Jianfei and Yan, Zheng and Shen, Chunhua}, title = {Channel-Wise Knowledge Distillation for Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5311-5320} }
Multi-View 3D Reconstruction With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Dan and Cui, Xinrui and Chen, Xun and Zou, Zhengxia and Shi, Tianyang and Salcudean, Septimiu and Wang, Z. Jane and Ward, Rabab}, title = {Multi-View 3D Reconstruction With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5722-5731} }
Q-Match: Iterative Shape Matching via Quantum Annealing-
[pdf]
[supp]
[bibtex]@InProceedings{Benkner_2021_ICCV, author = {Benkner, Marcel Seelbach and L\"ahner, Zorah and Golyanik, Vladislav and Wunderlich, Christof and Theobalt, Christian and Moeller, Michael}, title = {Q-Match: Iterative Shape Matching via Quantum Annealing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7586-7596} }
Fast Convergence of DETR With Spatially Modulated Co-Attention-
[pdf]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Peng and Zheng, Minghang and Wang, Xiaogang and Dai, Jifeng and Li, Hongsheng}, title = {Fast Convergence of DETR With Spatially Modulated Co-Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3621-3630} }
T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Dong and Myronenko, Andriy and Wang, Xiaosong and Xu, Ziyue and Roth, Holger R. and Xu, Daguang}, title = {T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3962-3974} }
Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2021_ICCV, author = {Du, Yuming and Xiao, Yang and Lepetit, Vincent}, title = {Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3375-3384} }
Unsupervised Point Cloud Object Co-Segmentation by Co-Contrastive Learning and Mutual Attention Sampling-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Cheng-Kun and Chuang, Yung-Yu and Lin, Yen-Yu}, title = {Unsupervised Point Cloud Object Co-Segmentation by Co-Contrastive Learning and Mutual Attention Sampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7335-7344} }
Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Ji_2021_ICCV, author = {Ji, Haoxuanye and Wang, Le and Zhou, Sanping and Tang, Wei and Zheng, Nanning and Hua, Gang}, title = {Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3661-3670} }
Robustness Certification for Point Cloud Models-
[pdf]
[supp]
[bibtex]@InProceedings{Lorenz_2021_ICCV, author = {Lorenz, Tobias and Ruoss, Anian and Balunovi\'c, Mislav and Singh, Gagandeep and Vechev, Martin}, title = {Robustness Certification for Point Cloud Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7608-7618} }
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Jingyun and Lugmayr, Andreas and Zhang, Kai and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4076-4085} }
Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Ziyu and Yang, Xi and Wang, Nannan and Gao, Xinbo}, title = {Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {225-234} }
Re-Aging GAN: Toward Personalized Face Age Transformation-
[pdf]
[supp]
[bibtex]@InProceedings{Makhmudkhujaev_2021_ICCV, author = {Makhmudkhujaev, Farkhod and Hong, Sungeun and Park, In Kyu}, title = {Re-Aging GAN: Toward Personalized Face Age Transformation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3908-3917} }
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video-
[pdf]
[supp]
[bibtex]@InProceedings{Shedligeri_2021_ICCV, author = {Shedligeri, Prasan and Schiffers, Florian and Ghosh, Sushobhan and Cossairt, Oliver and Mitra, Kaushik}, title = {SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2491-2501} }
Cross-Encoder for Unsupervised Gaze Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Yunjia and Zeng, Jiabei and Shan, Shiguang and Chen, Xilin}, title = {Cross-Encoder for Unsupervised Gaze Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3702-3711} }
Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds-
[pdf]
[bibtex]@InProceedings{Mostafavi_2021_ICCV, author = {Mostafavi, Mohammad and Yoon, Kuk-Jin and Choi, Jonghyun}, title = {Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4258-4267} }
When Do GANs Replicate? On the Choice of Dataset Size-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Qianli and Guo, Chenqi and Benitez-Quiroz, Fabian and Martinez, Aleix M.}, title = {When Do GANs Replicate? On the Choice of Dataset Size}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6701-6710} }
Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hwang_2021_ICCV, author = {Hwang, Jaehui and Kim, Jun-Hyuk and Choi, Jun-Ho and Lee, Jong-Seok}, title = {Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7668-7676} }
Big Self-Supervised Models Advance Medical Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Azizi_2021_ICCV, author = {Azizi, Shekoofeh and Mustafa, Basil and Ryan, Fiona and Beaver, Zachary and Freyberg, Jan and Deaton, Jonathan and Loh, Aaron and Karthikesalingam, Alan and Kornblith, Simon and Chen, Ting and Natarajan, Vivek and Norouzi, Mohammad}, title = {Big Self-Supervised Models Advance Medical Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3478-3488} }
Scene Context-Aware Salient Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Siris_2021_ICCV, author = {Siris, Avishek and Jiao, Jianbo and Tam, Gary K.L. and Xie, Xianghua and Lau, Rynson W.H.}, title = {Scene Context-Aware Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4156-4166} }
Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Wenbin and Song, Dehua and Xu, Chang and Xu, Chunjing and Zhang, Hui and Wang, Yunhe}, title = {Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4308-4317} }
Residual Attention: A Simple but Effective Method for Multi-Label Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Ke and Wu, Jianxin}, title = {Residual Attention: A Simple but Effective Method for Multi-Label Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {184-193} }
On Generating Transferable Targeted Perturbations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Naseer_2021_ICCV, author = {Naseer, Muzammal and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Porikli, Fatih}, title = {On Generating Transferable Targeted Perturbations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7708-7717} }
GraphFPN: Graph Feature Pyramid Network for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Gangming and Ge, Weifeng and Yu, Yizhou}, title = {GraphFPN: Graph Feature Pyramid Network for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2763-2772} }
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Lin and Li, Jianing and Wang, Xiao and Huang, Tiejun and Tian, Yonghong}, title = {NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2400-2409} }
Local Temperature Scaling for Probability Calibration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Zhipeng and Han, Xu and Liu, Peirong and Niethammer, Marc}, title = {Local Temperature Scaling for Probability Calibration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6889-6899} }
WarpedGANSpace: Finding Non-Linear RBF Paths in GAN Latent Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tzelepis_2021_ICCV, author = {Tzelepis, Christos and Tzimiropoulos, Georgios and Patras, Ioannis}, title = {WarpedGANSpace: Finding Non-Linear RBF Paths in GAN Latent Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6393-6402} }
Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chefer_2021_ICCV, author = {Chefer, Hila and Gur, Shir and Wolf, Lior}, title = {Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {397-406} }
Real-Time Image Enhancer via Learnable Spatial-Aware 3D Lookup Tables-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tao and Li, Yong and Peng, Jingyang and Ma, Yipeng and Wang, Xian and Song, Fenglong and Yan, Youliang}, title = {Real-Time Image Enhancer via Learnable Spatial-Aware 3D Lookup Tables}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2471-2480} }
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zhaoyang and Jiang, Yitong and Jiang, Jun and Wang, Xiaogang and Luo, Ping and Gu, Jinwei}, title = {STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4106-4115} }
Reconcile Prediction Consistency for Balanced Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Keyang and Zhang, Lei}, title = {Reconcile Prediction Consistency for Balanced Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3631-3640} }
A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Wang and Liu, Shaohui and Wei, Yi and Guo, Hengkai and Liu, Yong-Jin}, title = {A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6168-6177} }
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bain_2021_ICCV, author = {Bain, Max and Nagrani, Arsha and Varol, G\"ul and Zisserman, Andrew}, title = {Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1728-1738} }
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Weihan and Wang, Peisong and Cheng, Jian}, title = {Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5350-5359} }
Dual-Camera Super-Resolution With Aligned Attention Modules-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tengfei and Xie, Jiaxin and Sun, Wenxiu and Yan, Qiong and Chen, Qifeng}, title = {Dual-Camera Super-Resolution With Aligned Attention Modules}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2001-2010} }
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Hang and Kang, Ning and Zhang, Gengwei and Xie, Chuanlong and Liang, Xiaodan and Li, Zhenguo}, title = {NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5097-5106} }
RandomRooms: Unsupervised Pre-Training From Synthetic Shapes and Randomized Layouts for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rao_2021_ICCV, author = {Rao, Yongming and Liu, Benlin and Wei, Yi and Lu, Jiwen and Hsieh, Cho-Jui and Zhou, Jie}, title = {RandomRooms: Unsupervised Pre-Training From Synthetic Shapes and Randomized Layouts for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3283-3292} }
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Haowen and Lou, Jian and Xiong, Li and Shahabi, Cyrus}, title = {Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7828-7837} }
Conformer: Local Features Coupling Global Representations for Visual Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Zhiliang and Huang, Wei and Gu, Shanzhi and Xie, Lingxi and Wang, Yaowei and Jiao, Jianbin and Ye, Qixiang}, title = {Conformer: Local Features Coupling Global Representations for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {367-376} }
Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yuxiang and Li, Zhe and An, Liang and Li, Mengcheng and Yu, Tao and Liu, Yebin}, title = {Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5560-5569} }
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Hong and Deng, Yuefan and Yoo, Shinjae and Ling, Haibin and Lin, Yuewei}, title = {AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7658-7667} }
MGSampler: An Explainable Sampling Strategy for Video Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhi_2021_ICCV, author = {Zhi, Yuan and Tong, Zhan and Wang, Limin and Wu, Gangshan}, title = {MGSampler: An Explainable Sampling Strategy for Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1513-1522} }
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Hao and Liu, Xingwei and Sun, Shanlin and Yan, Xiangyi and Xie, Xiaohui}, title = {Recurrent Mask Refinement for Few-Shot Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3918-3928} }
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Hui and Ding, Henghui}, title = {Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6974-6983} }
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chi_2021_ICCV, author = {Chi, Cheng and Song, Shuran}, title = {GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3324-3333} }
Reliably Fast Adversarial Training via Latent Adversarial Perturbation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Geon Yeong and Lee, Sang Wan}, title = {Reliably Fast Adversarial Training via Latent Adversarial Perturbation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7758-7767} }
R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina-
[pdf]
[supp]
[bibtex]@InProceedings{Shenoy_2021_ICCV, author = {Shenoy, Jay and Fong, James and Tan, Jeffrey and Roorda, Austin and Ng, Ren}, title = {R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4852-4861} }
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements-
[pdf]
[supp]
[bibtex]@InProceedings{Levis_2021_ICCV, author = {Levis, Aviad and Lee, Daeyoung and Tropp, Joel A. and Gammie, Charles F. and Bouman, Katherine L.}, title = {Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2340-2349} }
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering-
[pdf]
[supp]
[bibtex]@InProceedings{Dancette_2021_ICCV, author = {Dancette, Corentin and Cad\`ene, R\'emi and Teney, Damien and Cord, Matthieu}, title = {Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1574-1583} }
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Ramon_2021_ICCV, author = {Ramon, Eduard and Triginer, Gil and Escur, Janna and Pumarola, Albert and Garcia, Jaime and Gir\'o-i-Nieto, Xavier and Moreno-Noguer, Francesc}, title = {H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5620-5629} }
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Nayoung and Ha, Seong Jong and Kang, Je-Won}, title = {Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1708-1717} }
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2021_ICCV, author = {Singh, Nikhil and Mentch, Jeff and Ng, Jerry and Beveridge, Matthew and Drori, Iddo}, title = {Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {286-295} }
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Hangjie and Ni, Dong and Wang, Mang}, title = {Spatio-Temporal Dynamic Inference Network for Group Activity Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7476-7485} }
High Quality Disparity Remapping With Two-Stage Warping-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Bing and Lin, Chia-Wen and Zheng, Cheng and Liu, Shan and Yuan, Junsong and Ghanem, Bernard and Kuo, C.-C. Jay}, title = {High Quality Disparity Remapping With Two-Stage Warping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2269-2278} }
TrivialAugment: Tuning-Free Yet State-of-the-Art Data Augmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Muller_2021_ICCV, author = {M\"uller, Samuel G. and Hutter, Frank}, title = {TrivialAugment: Tuning-Free Yet State-of-the-Art Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {774-782} }
Learning To Discover Reflection Symmetry via Polar Matching Convolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seo_2021_ICCV, author = {Seo, Ahyun and Shim, Woohyeon and Cho, Minsu}, title = {Learning To Discover Reflection Symmetry via Polar Matching Convolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1285-1294} }
Crossover Learning for Fast Online Video Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Shusheng and Fang, Yuxin and Wang, Xinggang and Li, Yu and Fang, Chen and Shan, Ying and Feng, Bin and Liu, Wenyu}, title = {Crossover Learning for Fast Online Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8043-8052} }
Multiview Pseudo-Labeling for Semi-Supervised Learning From Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiong_2021_ICCV, author = {Xiong, Bo and Fan, Haoqi and Grauman, Kristen and Feichtenhofer, Christoph}, title = {Multiview Pseudo-Labeling for Semi-Supervised Learning From Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7209-7219} }
SketchLattice: Latticed Representation for Sketch Manipulation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qi_2021_ICCV, author = {Qi, Yonggang and Su, Guoyao and Chowdhury, Pinaki Nath and Li, Mingkang and Song, Yi-Zhe}, title = {SketchLattice: Latticed Representation for Sketch Manipulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {953-961} }
End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation-
[pdf]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Byeong-Ju and Ko, Kuhyeun and Sim, Jae-Young}, title = {End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {925-933} }
Polarimetric Helmholtz Stereopsis-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Yuqi and Ji, Yu and Zhou, Mingyuan and Kang, Sing Bing and Ye, Jinwei}, title = {Polarimetric Helmholtz Stereopsis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5037-5046} }
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Kyungsu and Lee, Haeyun and Hwang, Jae Youn}, title = {Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7068-7077} }
Baking Neural Radiance Fields for Real-Time View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hedman_2021_ICCV, author = {Hedman, Peter and Srinivasan, Pratul P. and Mildenhall, Ben and Barron, Jonathan T. and Debevec, Paul}, title = {Baking Neural Radiance Fields for Real-Time View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5875-5884} }
Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Siyuan and Wu, Baoyuan and Fan, Yanbo and Wei, Xingxing and Cao, Xiaochun}, title = {Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7697-7707} }
A Light Stage on Every Desk-
[pdf]
[bibtex]@InProceedings{Sengupta_2021_ICCV, author = {Sengupta, Soumyadip and Curless, Brian and Kemelmacher-Shlizerman, Ira and Seitz, Steven M.}, title = {A Light Stage on Every Desk}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2420-2429} }
Multi-Level Curriculum for Training a Distortion-Aware Barrel Distortion Rectification Model-
[pdf]
[supp]
[bibtex]@InProceedings{Liao_2021_ICCV, author = {Liao, Kang and Lin, Chunyu and Liao, Lixin and Zhao, Yao and Lin, Weiyao}, title = {Multi-Level Curriculum for Training a Distortion-Aware Barrel Distortion Rectification Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4389-4398} }
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Johari_2021_ICCV, author = {Johari, Mohammad Mahdi and Carta, Camilla and Fleuret, Fran\c{c}ois}, title = {DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6039-6048} }
Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Mantang and Jin, Jing and Liu, Hui and Hou, Junhui}, title = {Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2450-2459} }
Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning-
[pdf]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Zhuoran and Ren, Wenqi and Cao, Xiaochun and Wang, Tao and Jia, Xiuyi}, title = {Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4449-4458} }
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2021_ICCV, author = {Dong, Qi and Tu, Zhuowen and Liao, Haofu and Zhang, Yuting and Mahadevan, Vijay and Soatto, Stefano}, title = {Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3550-3559} }
Learning To Diversify for Single Domain Generalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zijian and Luo, Yadan and Qiu, Ruihong and Huang, Zi and Baktashmotlagh, Mahsa}, title = {Learning To Diversify for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {834-843} }
Sensor-Guided Optical Flow-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poggi_2021_ICCV, author = {Poggi, Matteo and Aleotti, Filippo and Mattoccia, Stefano}, title = {Sensor-Guided Optical Flow}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7908-7918} }
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yun and Zhang, Tong and Zhang, Xueya and Cui, Zhen and Huang, Yuge and Shen, Pengcheng and Li, Shaoxin and Yang, Jian}, title = {Wasserstein Coupled Graph Learning for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1813-1822} }
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Yangyu and Yang, Hao and Li, Chong and Kim, Jongyoo and Wei, Fangyun}, title = {ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3080-3090} }
Pixel-Perfect Structure-From-Motion With Featuremetric Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lindenberger_2021_ICCV, author = {Lindenberger, Philipp and Sarlin, Paul-Edouard and Larsson, Viktor and Pollefeys, Marc}, title = {Pixel-Perfect Structure-From-Motion With Featuremetric Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5987-5997} }
Distance-Aware Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Dohyung and Lee, Junghyup and Ham, Bumsub}, title = {Distance-Aware Quantization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5271-5280} }
Shape-Biased Domain Generalization via Shock Graph Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Narayanan_2021_ICCV, author = {Narayanan, Maruthi and Rajendran, Vickram and Kimia, Benjamin}, title = {Shape-Biased Domain Generalization via Shock Graph Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1315-1325} }
Learning To Cut by Watching Movies-
[pdf]
[supp]
[bibtex]@InProceedings{Pardo_2021_ICCV, author = {Pardo, Alejandro and Caba, Fabian and Alc\'azar, Juan L\'eon and Thabet, Ali K. and Ghanem, Bernard}, title = {Learning To Cut by Watching Movies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6858-6868} }
Generic Event Boundary Detection: A Benchmark for Event Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shou_2021_ICCV, author = {Shou, Mike Zheng and Lei, Stan Weixian and Wang, Weiyao and Ghadiyaram, Deepti and Feiszli, Matt}, title = {Generic Event Boundary Detection: A Benchmark for Event Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8075-8084} }
How Shift Equivariance Impacts Metric Learning for Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rumberger_2021_ICCV, author = {Rumberger, Josef Lorenz and Yu, Xiaoyan and Hirsch, Peter and Dohmen, Melanie and Guarino, Vanessa Emanuela and Mokarian, Ashkan and Mais, Lisa and Funke, Jan and Kainm\"uller, Dagmar}, title = {How Shift Equivariance Impacts Metric Learning for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7128-7136} }
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kassapis_2021_ICCV, author = {Kassapis, Elias and Dikov, Georgi and Gupta, Deepak K. and Nugteren, Cedric}, title = {Calibrated Adversarial Refinement for Stochastic Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7057-7067} }
Fooling LiDAR Perception via Adversarial Trajectory Perturbation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yiming and Wen, Congcong and Juefei-Xu, Felix and Feng, Chen}, title = {Fooling LiDAR Perception via Adversarial Trajectory Perturbation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7898-7907} }
Extreme Structure From Motion for Indoor Panoramas Without Visual Overlaps-
[pdf]
[supp]
[bibtex]@InProceedings{Shabani_2021_ICCV, author = {Shabani, Mohammad Amin and Song, Weilian and Odamaki, Makoto and Fujiki, Hirochika and Furukawa, Yasutaka}, title = {Extreme Structure From Motion for Indoor Panoramas Without Visual Overlaps}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5703-5711} }
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Miao and Liu, Jie and Wang, Yifei and Piao, Yongri and Yao, Shunyu and Ji, Wei and Li, Jingjing and Lu, Huchuan and Luo, Zhongxuan}, title = {Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1553-1563} }
Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone-
[pdf]
[supp]
[bibtex]@InProceedings{Wood_2021_ICCV, author = {Wood, Erroll and Baltru\v{s}aitis, Tadas and Hewitt, Charlie and Dziadzio, Sebastian and Cashman, Thomas J. and Shotton, Jamie}, title = {Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3681-3691} }
Predictive Feature Learning for Future Segmentation Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Zihang and Sun, Jiangxin and Hu, Jian-Fang and Yu, Qizhi and Lai, Jian-Huang and Zheng, Wei-Shi}, title = {Predictive Feature Learning for Future Segmentation Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7365-7374} }
Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Naghizadeh_2021_ICCV, author = {Naghizadeh, Alireza and Xu, Hongye and Mohamed, Mohab and Metaxas, Dimitris N. and Liu, Dongfang}, title = {Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3952-3961} }
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2021_ICCV, author = {Wei, Yi and Liu, Shaohui and Rao, Yongming and Zhao, Wang and Lu, Jiwen and Zhou, Jie}, title = {NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5610-5619} }
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bomatter_2021_ICCV, author = {Bomatter, Philipp and Zhang, Mengmi and Karev, Dimitar and Madan, Spandan and Tseng, Claire and Kreiman, Gabriel}, title = {When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {255-264} }
You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking-
[pdf]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Jiaming and Xie, Yiming and Zhang, Siyu and Chen, Linghao and Zhang, Guofeng and Bao, Hujun and Zhou, Xiaowei}, title = {You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3185-3194} }
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2021_ICCV, author = {Shao, Xuning and Zhang, Weidong}, title = {SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6546-6555} }
Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yikai and Yang, Yi and Sun, Fuchun and Yao, Anbang}, title = {Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5360-5369} }
CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Keke and Miao, Dingruibo and Peng, Weilong and Wu, Jianpeng and Shi, Yawen and Gu, Zhaoquan and Tian, Zhihong and Wang, Wenping}, title = {CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1153-1162} }
LayoutTransformer: Layout Generation and Completion With Self-Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gupta_2021_ICCV, author = {Gupta, Kamal and Lazarow, Justin and Achille, Alessandro and Davis, Larry S. and Mahadevan, Vijay and Shrivastava, Abhinav}, title = {LayoutTransformer: Layout Generation and Completion With Self-Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1004-1014} }
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cooke_2021_ICCV, author = {Cooke, Colin L. and Kong, Fanjie and Chaware, Amey and Zhou, Kevin C. and Kim, Kanghyun and Xu, Rong and Ando, D. Michael and Yang, Samuel J. and Konda, Pavan Chandra and Horstmeyer, Roarke}, title = {Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3803-3813} }
Dynamic Attentive Graph Learning for Image Restoration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mou_2021_ICCV, author = {Mou, Chong and Zhang, Jian and Wu, Zhuoyuan}, title = {Dynamic Attentive Graph Learning for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4328-4337} }
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Hanxue and Jiang, Chenhan and Feng, Dapeng and Chen, Xin and Xu, Hang and Liang, Xiaodan and Zhang, Wei and Li, Zhenguo and Van Gool, Luc}, title = {Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3293-3302} }
Learning Meta-Class Memory for Few-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Zhonghua and Shi, Xiangxi and Lin, Guosheng and Cai, Jianfei}, title = {Learning Meta-Class Memory for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {517-526} }
Semi-Supervised Active Learning With Temporal Output Discrepancy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Siyu and Wang, Tianyang and Xiong, Haoyi and Huan, Jun and Dou, Dejing}, title = {Semi-Supervised Active Learning With Temporal Output Discrepancy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3447-3456} }
Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Zhuoning and Yan, Yan and Sonka, Milan and Yang, Tianbao}, title = {Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3040-3049} }
Ground-Truth or DAER: Selective Re-Query of Secondary Information-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lemmer_2021_ICCV, author = {Lemmer, Stephan J. and Corso, Jason J.}, title = {Ground-Truth or DAER: Selective Re-Query of Secondary Information}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {703-714} }
End-to-End Dense Video Captioning With Parallel Decoding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Teng and Zhang, Ruimao and Lu, Zhichao and Zheng, Feng and Cheng, Ran and Luo, Ping}, title = {End-to-End Dense Video Captioning With Parallel Decoding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6847-6857} }
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Yuda and Qian, Hui and Du, Xin}, title = {StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4126-4135} }
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Mingjie and Li, Zichao and Xiao, Chaowei and Qiu, Haonan and Kailkhura, Bhavya and Liu, Mingyan and Li, Bo}, title = {Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7526-7535} }
Multi-Class Cell Detection Using Spatial Context Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abousamra_2021_ICCV, author = {Abousamra, Shahira and Belinsky, David and Van Arnam, John and Allard, Felicia and Yee, Eric and Gupta, Rajarsi and Kurc, Tahsin and Samaras, Dimitris and Saltz, Joel and Chen, Chao}, title = {Multi-Class Cell Detection Using Spatial Context Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4005-4014} }
Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Rachavarapu_2021_ICCV, author = {Rachavarapu, Kranthi Kumar and Aakanksha and Sundaresha, Vignesh and Rajagopalan, A. N.}, title = {Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1930-1939} }
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Wei-Ting and Fang, Hao-Yu and Hsieh, Cheng-Lin and Tsai, Cheng-Che and Chen, I-Hsiang and Ding, Jian-Jiun and Kuo, Sy-Yen}, title = {ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4196-4205} }
Grafit: Learning Fine-Grained Image Representations With Coarse Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Touvron_2021_ICCV, author = {Touvron, Hugo and Sablayrolles, Alexandre and Douze, Matthijs and Cord, Matthieu and J\'egou, Herv\'e}, title = {Grafit: Learning Fine-Grained Image Representations With Coarse Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {874-884} }
Equivariant Imaging: Learning Beyond the Range Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Dongdong and Tachella, Juli\'an and Davies, Mike E.}, title = {Equivariant Imaging: Learning Beyond the Range Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4379-4388} }
Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Lei and Xu, Ke and Ke, Zhanghan and Lau, Rynson W.H.}, title = {Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4702-4711} }
Joint Representation Learning and Novel Category Discovery on Single- and Multi-Modal Data-
[pdf]
[supp]
[bibtex]@InProceedings{Jia_2021_ICCV, author = {Jia, Xuhui and Han, Kai and Zhu, Yukun and Green, Bradley}, title = {Joint Representation Learning and Novel Category Discovery on Single- and Multi-Modal Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {610-619} }
CANet: A Context-Aware Network for Shadow Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zipei and Long, Chengjiang and Zhang, Ling and Xiao, Chunxia}, title = {CANet: A Context-Aware Network for Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4743-4752} }
Semantic Perturbations With Normalizing Flows for Improved Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Yuksel_2021_ICCV, author = {Y\"uksel, Oguz Kaan and Stich, Sebastian U. and Jaggi, Martin and Chavdarova, Tatjana}, title = {Semantic Perturbations With Normalizing Flows for Improved Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6619-6629} }
Audio-Visual Floorplan Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Purushwalkam_2021_ICCV, author = {Purushwalkam, Senthil and Gar{\'\i}, Sebasti\`a Vicenc Amengual and Ithapu, Vamsi Krishna and Schissler, Carl and Robinson, Philip and Gupta, Abhinav and Grauman, Kristen}, title = {Audio-Visual Floorplan Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1183-1192} }
TOOD: Task-Aligned One-Stage Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Chengjian and Zhong, Yujie and Gao, Yu and Scott, Matthew R. and Huang, Weilin}, title = {TOOD: Task-Aligned One-Stage Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3510-3519} }
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ziwei and Xiao, Han and Lu, Jiwen and Zhou, Jie}, title = {Generalizable Mixed-Precision Quantization via Attribution Rank Preservation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5291-5300} }
Towards Robustness of Deep Neural Networks via Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yao and Min, Martin Renqiang and Lee, Thomas and Yu, Wenchao and Kruus, Erik and Wang, Wei and Hsieh, Cho-Jui}, title = {Towards Robustness of Deep Neural Networks via Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7496-7505} }
IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Zang_2021_ICCV, author = {Zang, Guangming and Idoughi, Ramzi and Li, Rui and Wonka, Peter and Heidrich, Wolfgang}, title = {IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1960-1970} }
Differentiable Surface Rendering via Non-Differentiable Sampling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cole_2021_ICCV, author = {Cole, Forrester and Genova, Kyle and Sud, Avneesh and Vlasic, Daniel and Zhang, Zhoutong}, title = {Differentiable Surface Rendering via Non-Differentiable Sampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6088-6097} }
Distillation-Guided Image Inpainting-
[pdf]
[bibtex]@InProceedings{Suin_2021_ICCV, author = {Suin, Maitreya and Purohit, Kuldeep and Rajagopalan, A. N.}, title = {Distillation-Guided Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2481-2490} }
Real-Time Instance Segmentation With Discriminative Orientation Maps-
[pdf]
[arXiv]
[bibtex]@InProceedings{Du_2021_ICCV, author = {Du, Wentao and Xiang, Zhiyu and Chen, Shuya and Qiao, Chengyu and Chen, Yiman and Bai, Tingming}, title = {Real-Time Instance Segmentation With Discriminative Orientation Maps}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7314-7323} }
Segmenter: Transformer for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Strudel_2021_ICCV, author = {Strudel, Robin and Garcia, Ricardo and Laptev, Ivan and Schmid, Cordelia}, title = {Segmenter: Transformer for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7262-7272} }
IDARTS: Interactive Differentiable Architecture Search-
[pdf]
[bibtex]@InProceedings{Xue_2021_ICCV, author = {Xue, Song and Wang, Runqi and Zhang, Baochang and Wang, Tian and Guo, Guodong and Doermann, David}, title = {IDARTS: Interactive Differentiable Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1163-1172} }
AutoSpace: Neural Architecture Search With Less Human Interference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Daquan and Jin, Xiaojie and Lian, Xiaochen and Yang, Linjie and Xue, Yujing and Hou, Qibin and Feng, Jiashi}, title = {AutoSpace: Neural Architecture Search With Less Human Interference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {337-346} }
Evolving Search Space for Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ci_2021_ICCV, author = {Ci, Yuanzheng and Lin, Chen and Sun, Ming and Chen, Boyu and Zhang, Hongwen and Ouyang, Wanli}, title = {Evolving Search Space for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6659-6669} }
Tripartite Information Mining and Integration for Image Matting-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yuhao and Xie, Jiake and Shi, Xiao and Qiao, Yu and Huang, Yujie and Tang, Yong and Yang, Xin}, title = {Tripartite Information Mining and Integration for Image Matting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7555-7564} }
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition-
[pdf]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Shaoli and Wang, Xinchao and Tao, Dacheng}, title = {Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {620-629} }
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Zhirui and Jiang, Yuepeng and Li, Yi and Liu, Bo and Chan, Antoni B. and Vasconcelos, Nuno}, title = {BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5401-5411} }
Pyramid Architecture Search for Real-Time Image Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Xiaobin and Ren, Wenqi and Yu, Kaicheng and Zhang, Kaihao and Cao, Xiaochun and Liu, Wei and Menze, Bjoern}, title = {Pyramid Architecture Search for Real-Time Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4298-4307} }
Objects As Cameras: Estimating High-Frequency Illumination From Shadows-
[pdf]
[supp]
[bibtex]@InProceedings{Swedish_2021_ICCV, author = {Swedish, Tristan and Henley, Connor and Raskar, Ramesh}, title = {Objects As Cameras: Estimating High-Frequency Illumination From Shadows}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2593-2602} }
Dynamical Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Heng and Doran, Chris and Slotine, Jean-Jacques}, title = {Dynamical Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5926-5935} }
Learning Fast Sample Re-Weighting Without Reward Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zizhao and Pfister, Tomas}, title = {Learning Fast Sample Re-Weighting Without Reward Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {725-734} }
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yanning and Xu, Hang and Zhang, Wei and Gao, Bin and Heng, Pheng-Ann}, title = {C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7036-7045} }
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Wen_2021_ICCV, author = {Wen, Keyu and Xia, Jin and Huang, Yuanyuan and Li, Linyang and Xu, Jiayan and Shao, Jie}, title = {COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2208-2217} }
Radial Distortion Invariant Factorization for Structure From Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Iglesias_2021_ICCV, author = {Iglesias, Jos\'e Pedro and Olsson, Carl}, title = {Radial Distortion Invariant Factorization for Structure From Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5906-5915} }
Learning Privacy-Preserving Optics for Human Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Hinojosa_2021_ICCV, author = {Hinojosa, Carlos and Niebles, Juan Carlos and Arguello, Henry}, title = {Learning Privacy-Preserving Optics for Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2573-2582} }
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo-
[pdf]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Xinjun and Gong, Yue and Wang, Qirui and Huang, Jingwei and Chen, Lei and Yu, Fan}, title = {EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5732-5740} }
Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization-
[pdf]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Canyi}, title = {Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1145-1152} }
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Barron_2021_ICCV, author = {Barron, Jonathan T. and Mildenhall, Ben and Tancik, Matthew and Hedman, Peter and Martin-Brualla, Ricardo and Srinivasan, Pratul P.}, title = {Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5855-5864} }
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Changan and Song, Qingyu and Zhang, Boshen and Wang, Yabiao and Tai, Ying and Hu, Xuyi and Wang, Chengjie and Li, Jilin and Ma, Jiayi and Wu, Yang}, title = {Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3234-3242} }
HDR Video Reconstruction: A Coarse-To-Fine Network and a Real-World Benchmark Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Guanying and Chen, Chaofeng and Guo, Shi and Liang, Zhetong and Wong, Kwan-Yee K. and Zhang, Lei}, title = {HDR Video Reconstruction: A Coarse-To-Fine Network and a Real-World Benchmark Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2502-2511} }
Self Supervision to Distillation for Long-Tailed Visual Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Tianhao and Wang, Limin and Wu, Gangshan}, title = {Self Supervision to Distillation for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {630-639} }
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Fan and Zhai, Qiang and Li, Xin and Huang, Rui and Luo, Ao and Cheng, Hong and Fan, Deng-Ping}, title = {Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4146-4155} }
Synchronization of Group-Labelled Multi-Graphs-
[pdf]
[supp]
[bibtex]@InProceedings{Cin_2021_ICCV, author = {Cin, Andrea Porfiri Dal and Magri, Luca and Arrigoni, Federica and Fusiello, Andrea and Boracchi, Giacomo}, title = {Synchronization of Group-Labelled Multi-Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6453-6463} }
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Oechsle_2021_ICCV, author = {Oechsle, Michael and Peng, Songyou and Geiger, Andreas}, title = {UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5589-5599} }
Parsing Table Structures in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Long_2021_ICCV, author = {Long, Rujiao and Wang, Wen and Xue, Nan and Gao, Feiyu and Yang, Zhibo and Wang, Yongpan and Xia, Gui-Song}, title = {Parsing Table Structures in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {944-952} }
Spatio-Temporal Representation Factorization for Video-Based Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aich_2021_ICCV, author = {Aich, Abhishek and Zheng, Meng and Karanam, Srikrishna and Chen, Terrence and Roy-Chowdhury, Amit K. and Wu, Ziyan}, title = {Spatio-Temporal Representation Factorization for Video-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {152-162} }
CondLaneNet: A Top-To-Down Lane Detection Framework Based on Conditional Convolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Lizhe and Chen, Xiaohao and Zhu, Siyu and Tan, Ping}, title = {CondLaneNet: A Top-To-Down Lane Detection Framework Based on Conditional Convolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3773-3782} }
Adversarial Attacks on Multi-Agent Communication-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2021_ICCV, author = {Tu, James and Wang, Tsunhsuan and Wang, Jingkang and Manivasagam, Sivabalan and Ren, Mengye and Urtasun, Raquel}, title = {Adversarial Attacks on Multi-Agent Communication}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7768-7777} }
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Tianye and Liu, Shichen and Bolkart, Timo and Liu, Jiayi and Li, Hao and Zhao, Yajie}, title = {Topologically Consistent Multi-View Face Inference Using Volumetric Sampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3824-3834} }
Efficient Video Compression via Content-Adaptive Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Khani_2021_ICCV, author = {Khani, Mehrdad and Sivaraman, Vibhaalakshmi and Alizadeh, Mohammad}, title = {Efficient Video Compression via Content-Adaptive Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4521-4530} }
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tilmon_2021_ICCV, author = {Tilmon, Brevin and Koppal, Sanjeev J.}, title = {SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6009-6018} }
CrossNorm and SelfNorm for Generalization Under Distribution Shifts-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Zhiqiang and Gao, Yunhe and Zhu, Yi and Zhang, Zhi and Li, Mu and Metaxas, Dimitris N.}, title = {CrossNorm and SelfNorm for Generalization Under Distribution Shifts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {52-61} }
Joint Visual and Audio Learning for Video Highlight Detection-
[pdf]
[bibtex]@InProceedings{Badamdorj_2021_ICCV, author = {Badamdorj, Taivanbat and Rochan, Mrigank and Wang, Yang and Cheng, Li}, title = {Joint Visual and Audio Learning for Video Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8127-8137} }
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Xueting and Meng, Debin and Gouk, Henry and Hospedales, Timothy M.}, title = {Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {651-660} }
Learning Temporal Dynamics From Cycles in Narrated Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Epstein_2021_ICCV, author = {Epstein, Dave and Wu, Jiajun and Schmid, Cordelia and Sun, Chen}, title = {Learning Temporal Dynamics From Cycles in Narrated Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1480-1489} }
TransFER: Learning Relation-Aware Facial Expression Representations With Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xue_2021_ICCV, author = {Xue, Fanglei and Wang, Qiangchang and Guo, Guodong}, title = {TransFER: Learning Relation-Aware Facial Expression Representations With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3601-3610} }
Manifold Matching via Deep Metric Learning for Generative Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Mengyu and Hang, Haibin}, title = {Manifold Matching via Deep Metric Learning for Generative Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6587-6597} }
ProFlip: Targeted Trojan Attack With Progressive Bit Flips-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Huili and Fu, Cheng and Zhao, Jishen and Koushanfar, Farinaz}, title = {ProFlip: Targeted Trojan Attack With Progressive Bit Flips}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7718-7727} }
Cross-Category Video Highlight Detection via Set-Based Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Minghao and Wang, Hang and Ni, Bingbing and Zhu, Riheng and Sun, Zhenbang and Wang, Changhu}, title = {Cross-Category Video Highlight Detection via Set-Based Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7970-7979} }
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Tao and Lin, Guosheng and Feng, Lei and Zhang, Yan and Lv, Fengmao}, title = {Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8148-8156} }
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Guangyao and Peng, Peixi and Ma, Li and Li, Jia and Du, Lin and Tian, Yonghong}, title = {Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {458-467} }
AdvDrop: Adversarial Attack to DNNs by Dropping Information-
[pdf]
[arXiv]
[bibtex]@InProceedings{Duan_2021_ICCV, author = {Duan, Ranjie and Chen, Yuefeng and Niu, Dantong and Yang, Yun and Qin, A. K. and He, Yuan}, title = {AdvDrop: Adversarial Attack to DNNs by Dropping Information}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7506-7515} }
Adaptive Graph Convolution for Point Cloud Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Haoran and Feng, Yidan and Fang, Mingsheng and Wei, Mingqiang and Qin, Jing and Lu, Tong}, title = {Adaptive Graph Convolution for Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4965-4974} }
Adversarial Attack on Deep Cross-Modal Hamming Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Chao and Gao, Shangqian and Deng, Cheng and Liu, Wei and Huang, Heng}, title = {Adversarial Attack on Deep Cross-Modal Hamming Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2218-2227} }
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Yamin and Liu, Zhihua and Li, Weiming and Dai, Yuchao and Wang, Qiang and Kim, Yun-Tae and Lee, Hong-Seok}, title = {UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6311-6319} }
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Jaeyeon and Hua, Binh-Son and Nguyen, Thanh and Yeung, Sai-Kit}, title = {Minimal Adversarial Examples for Deep Learning on 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7797-7806} }
Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Haoang and Chen, Kai and Kim, Pyojin and Yoon, Kuk-Jin and Liu, Zhe and Joo, Kyungdon and Liu, Yun-Hui}, title = {Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5661-5670} }
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fang_2021_ICCV, author = {Fang, Wei and Yu, Zhaofei and Chen, Yanqi and Masquelier, Timoth\'ee and Huang, Tiejun and Tian, Yonghong}, title = {Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2661-2671} }
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Jianping and Zhang, Liang and Liu, Ye and Chen, Ke}, title = {Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3732-3741} }
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement-
[pdf]
[supp]
[bibtex]@InProceedings{Alaluf_2021_ICCV, author = {Alaluf, Yuval and Patashnik, Or and Cohen-Or, Daniel}, title = {ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6711-6720} }
Low-Rank Tensor Completion by Approximating the Tensor Average Rank-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhanliang and Dong, Junyu and Liu, Xinguo and Zeng, Xueying}, title = {Low-Rank Tensor Completion by Approximating the Tensor Average Rank}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4612-4620} }
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2021_ICCV, author = {Yin, Mingjun and Li, Shasha and Cai, Zikui and Song, Chengyu and Asif, M. Salman and Roy-Chowdhury, Amit K. and Krishnamurthy, Srikanth V.}, title = {Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7858-7867} }
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2021_ICCV, author = {Zhong, Yuanyi and Yuan, Bodi and Wu, Hong and Yuan, Zhiqiang and Peng, Jian and Wang, Yu-Xiong}, title = {Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7273-7282} }
Cross-Descriptor Visual Localization and Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Dusmanu_2021_ICCV, author = {Dusmanu, Mihai and Miksik, Ondrej and Sch\"onberger, Johannes L. and Pollefeys, Marc}, title = {Cross-Descriptor Visual Localization and Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6058-6067} }
Panoptic Narrative Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Gonzalez_2021_ICCV, author = {Gonz\'alez, Cristina and Ayobi, Nicol\'as and Hern\'andez, Isabela and Hern\'andez, Jos\'e and Pont-Tuset, Jordi and Arbel\'aez, Pablo}, title = {Panoptic Narrative Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1364-1373} }
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2021_ICCV, author = {Tian, Yu and Pang, Guansong and Chen, Yuanhong and Singh, Rajvinder and Verjans, Johan W. and Carneiro, Gustavo}, title = {Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4975-4986} }
Deep Survival Analysis With Longitudinal X-Rays for COVID-19-
[pdf]
[supp]
[bibtex]@InProceedings{Shu_2021_ICCV, author = {Shu, Michelle and Bowen, Richard Strong and Herrmann, Charles and Qi, Gengmo and Santacatterina, Michele and Zabih, Ramin}, title = {Deep Survival Analysis With Longitudinal X-Rays for COVID-19}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4046-4055} }
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Jung Hyun and Yun, Jihun and Hwang, Sung Ju and Yang, Eunho}, title = {Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5370-5379} }
Striking a Balance Between Stability and Plasticity for Class-Incremental Learning-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Guile and Gong, Shaogang and Li, Pan}, title = {Striking a Balance Between Stability and Plasticity for Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1124-1133} }
AdaFit: Rethinking Learning-Based Normal Estimation on Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Runsong and Liu, Yuan and Dong, Zhen and Wang, Yuan and Jiang, Tengping and Wang, Wenping and Yang, Bisheng}, title = {AdaFit: Rethinking Learning-Based Normal Estimation on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6118-6127} }
Nerfies: Deformable Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo}, title = {Nerfies: Deformable Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5865-5874} }
Interpretable Visual Reasoning via Induced Symbolic Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhonghao and Wang, Kai and Yu, Mo and Xiong, Jinjun and Hwu, Wen-mei and Hasegawa-Johnson, Mark and Shi, Humphrey}, title = {Interpretable Visual Reasoning via Induced Symbolic Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1878-1887} }
Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yunfei and Liu, Ruicong and Wang, Haofei and Lu, Feng}, title = {Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3835-3844} }
Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Wentao and Xu, Ning and Wang, Jiayun and Gao, Chen and Shi, Jing and Lin, Zhe and Liu, Si}, title = {Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2115-2124} }
DAM: Discrepancy Alignment Metric for Face Recognition-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Jiaheng and Wu, Yudong and Wu, Yichao and Li, Chuming and Hu, Xiaolin and Liang, Ding and Wang, Mengyu}, title = {DAM: Discrepancy Alignment Metric for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3814-3823} }
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions-
[pdf]
[bibtex]@InProceedings{Chang_2021_ICCV, author = {Chang, Sung-En and Li, Yanyu and Sun, Mengshu and Jiang, Weiwen and Liu, Sijia and Wang, Yanzhi and Lin, Xue}, title = {RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5251-5260} }
Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Jung Uk and Park, Sungjune and Ro, Yong Man}, title = {Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3050-3059} }
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Richard J. and Lu, Ming Y. and Weng, Wei-Hung and Chen, Tiffany Y. and Williamson, Drew F.K. and Manz, Trevor and Shady, Maha and Mahmood, Faisal}, title = {Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4015-4025} }
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Fangxin and Zhao, Wenbo and He, Zhezhi and Wang, Yanzhi and Wang, Zongwu and Dai, Changzhi and Liang, Xiaoyao and Jiang, Li}, title = {Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5281-5290} }
Interpretable Image Recognition by Constructing Transparent Embedding Space-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Jiaqi and Liu, Huafeng and Wang, Xinyue and Jing, Liping}, title = {Interpretable Image Recognition by Constructing Transparent Embedding Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {895-904} }
Pyramid Point Cloud Transformer for Large-Scale Place Recognition-
[pdf]
[bibtex]@InProceedings{Hui_2021_ICCV, author = {Hui, Le and Yang, Hang and Cheng, Mingmei and Xie, Jin and Yang, Jian}, title = {Pyramid Point Cloud Transformer for Large-Scale Place Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6098-6107} }
Interpreting Attributions and Interactions of Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xin and Lin, Shuyun and Zhang, Hao and Zhu, Yufei and Zhang, Quanshi}, title = {Interpreting Attributions and Interactions of Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1095-1104} }
Neural Photofit: Gaze-Based Mental Image Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Strohm_2021_ICCV, author = {Strohm, Florian and Sood, Ekta and Mayer, Sven and M\"uller, Philipp and B\^ace, Mihai and Bulling, Andreas}, title = {Neural Photofit: Gaze-Based Mental Image Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {245-254} }
Disentangled Lifespan Face Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Sen and Liao, Wentong and Yang, Michael Ying and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao}, title = {Disentangled Lifespan Face Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3877-3886} }
Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Lin and Chae, Yujeong and Yoon, Kuk-Jin}, title = {Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2135-2145} }
Exploration and Estimation for Model Compression-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yanfu and Gao, Shangqian and Huang, Heng}, title = {Exploration and Estimation for Model Compression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {487-496} }
Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections-
[pdf]
[supp]
[bibtex]@InProceedings{Hong_2021_ICCV, author = {Hong, Je Hyeong and Yoo, Seong Jong and Zeeshan, Muhammad Arshad and Kim, Young Min and Kim, Jinwook}, title = {Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5443-5451} }
Asymmetric Loss for Multi-Label Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Ridnik_2021_ICCV, author = {Ridnik, Tal and Ben-Baruch, Emanuel and Zamir, Nadav and Noy, Asaf and Friedman, Itamar and Protter, Matan and Zelnik-Manor, Lihi}, title = {Asymmetric Loss for Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {82-91} }
Unified Graph Structured Models for Video Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Arnab_2021_ICCV, author = {Arnab, Anurag and Sun, Chen and Schmid, Cordelia}, title = {Unified Graph Structured Models for Video Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8117-8126} }
Minimal Cases for Computing the Generalized Relative Pose Using Affine Correspondences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guan_2021_ICCV, author = {Guan, Banglei and Zhao, Ji and Barath, Daniel and Fraundorfer, Friedrich}, title = {Minimal Cases for Computing the Generalized Relative Pose Using Affine Correspondences}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6068-6077} }
Towards Efficient Graph Convolutional Networks for Point Cloud Handling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yawei and Chen, He and Cui, Zhaopeng and Timofte, Radu and Pollefeys, Marc and Chirikjian, Gregory S. and Van Gool, Luc}, title = {Towards Efficient Graph Convolutional Networks for Point Cloud Handling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3752-3762} }
Auto Graph Encoder-Decoder for Neural Network Pruning-
[pdf]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Sixing and Mazaheri, Arya and Jannesari, Ali}, title = {Auto Graph Encoder-Decoder for Neural Network Pruning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6362-6372} }
Adaptive Surface Reconstruction With Multiscale Convolutional Kernels-
[pdf]
[supp]
[bibtex]@InProceedings{Ummenhofer_2021_ICCV, author = {Ummenhofer, Benjamin and Koltun, Vladlen}, title = {Adaptive Surface Reconstruction With Multiscale Convolutional Kernels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5651-5660} }
SmartShadow: Artistic Shadow Drawing Tool for Line Drawings-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Lvmin and Jiang, Jinyue and Ji, Yi and Liu, Chunping}, title = {SmartShadow: Artistic Shadow Drawing Tool for Line Drawings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5391-5400} }
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xue_2021_ICCV, author = {Xue, Wenyuan and Yu, Baosheng and Wang, Wen and Tao, Dacheng and Li, Qingyong}, title = {TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1295-1304} }
MicroNet: Improving Image Recognition With Extremely Low FLOPs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yunsheng and Chen, Yinpeng and Dai, Xiyang and Chen, Dongdong and Liu, Mengchen and Yuan, Lu and Liu, Zicheng and Zhang, Lei and Vasconcelos, Nuno}, title = {MicroNet: Improving Image Recognition With Extremely Low FLOPs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {468-477} }
Learning Canonical 3D Object Representation for Fine-Grained Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Joung_2021_ICCV, author = {Joung, Sunghun and Kim, Seungryong and Kim, Minsu and Kim, Ig-Jae and Sohn, Kwanghoon}, title = {Learning Canonical 3D Object Representation for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1035-1045} }
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saseendran_2021_ICCV, author = {Saseendran, Amrutha and Skubch, Kathrin and Keuper, Margret}, title = {Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6762-6771} }
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hsiao_2021_ICCV, author = {Hsiao, Chi-Wei and Sun, Cheng and Chen, Hwann-Tzong and Sun, Min}, title = {Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7137-7146} }
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2021_ICCV, author = {Jin, Yeying and Sharma, Aashish and Tan, Robby T.}, title = {DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5027-5036} }
Scalable Vision Transformers With Hierarchical Pooling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2021_ICCV, author = {Pan, Zizheng and Zhuang, Bohan and Liu, Jing and He, Haoyu and Cai, Jianfei}, title = {Scalable Vision Transformers With Hierarchical Pooling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {377-386} }
Generative Adversarial Registration for Improved Conditional Deformable Templates-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dey_2021_ICCV, author = {Dey, Neel and Ren, Mengwei and Dalca, Adrian V. and Gerig, Guido}, title = {Generative Adversarial Registration for Improved Conditional Deformable Templates}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3929-3941} }
Auto-Parsing Network for Image Captioning and Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Xu and Gao, Chongyang and Zhang, Hanwang and Cai, Jianfei}, title = {Auto-Parsing Network for Image Captioning and Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2197-2207} }
F-Drop&Match: GANs With a Dead Zone in the High-Frequency Domain-
[pdf]
[supp]
[bibtex]@InProceedings{Yamaguchi_2021_ICCV, author = {Yamaguchi, Shin'ya and Kanai, Sekitoshi}, title = {F-Drop\&Match: GANs With a Dead Zone in the High-Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6743-6751} }
CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures From Real Cryo-EM Images-
[pdf]
[supp]
[bibtex]@InProceedings{Zhong_2021_ICCV, author = {Zhong, Ellen D. and Lerer, Adam and Davis, Joseph H. and Berger, Bonnie}, title = {CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures From Real Cryo-EM Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4066-4075} }
Generalized Shuffled Linear Regression-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Feiran and Fujiwara, Kent and Okura, Fumio and Matsushita, Yasuyuki}, title = {Generalized Shuffled Linear Regression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6474-6483} }
AESOP: Abstract Encoding of Stories, Objects, and Pictures-
[pdf]
[supp]
[bibtex]@InProceedings{Ravi_2021_ICCV, author = {Ravi, Hareesh and Kafle, Kushal and Cohen, Scott and Brandt, Jonathan and Kapadia, Mubbasir}, title = {AESOP: Abstract Encoding of Stories, Objects, and Pictures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2052-2063} }
LFI-CAM: Learning Feature Importance for Better Visual Explanation-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Kwang Hee and Park, Chaewon and Oh, Junghyun and Kwak, Nojun}, title = {LFI-CAM: Learning Feature Importance for Better Visual Explanation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1355-1363} }
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Zhihao and Yan, Xu and Liao, Yinghong and Zhang, Ruimao and Wang, Sheng and Li, Zhen and Cui, Shuguang}, title = {InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1791-1800} }
Adaptive Hierarchical Graph Reasoning With Semantic Coherence for Video-and-Language Inference-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Juncheng and Tang, Siliang and Zhu, Linchao and Shi, Haochen and Huang, Xuanwen and Wu, Fei and Yang, Yi and Zhuang, Yueting}, title = {Adaptive Hierarchical Graph Reasoning With Semantic Coherence for Video-and-Language Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1867-1877} }
iNAS: Integral NAS for Device-Aware Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Yu-Chao and Gao, Shang-Hua and Cao, Xu-Sheng and Du, Peng and Lu, Shao-Ping and Cheng, Ming-Ming}, title = {iNAS: Integral NAS for Device-Aware Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4934-4944} }
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Jiageng and Niu, Minzhe and Bai, Haoyue and Liang, Xiaodan and Xu, Hang and Xu, Chunjing}, title = {Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2723-2732} }
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution-
[pdf]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Huimin and Lin, Lanfen and Zhang, Yue and Xu, Yingying and Zheng, Jing and Mao, XiongWei and Qian, Xiaohan and Peng, Zhiyi and Zhou, Jianying and Chen, Yen-Wei and Tong, Ruofeng}, title = {Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7386-7395} }
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Chun-Fu (Richard) and Fan, Quanfu and Panda, Rameswar}, title = {CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {357-366} }
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Zou_2021_ICCV, author = {Zou, Longkun and Tang, Hui and Chen, Ke and Jia, Kui}, title = {Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6403-6412} }
Procrustean Training for Imbalanced Deep Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Han-Jia and Zhan, De-Chuan and Chao, Wei-Lun}, title = {Procrustean Training for Imbalanced Deep Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {92-102} }
Dynamic Network Quantization for Efficient Video Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Ximeng and Panda, Rameswar and Chen, Chun-Fu (Richard) and Oliva, Aude and Feris, Rogerio and Saenko, Kate}, title = {Dynamic Network Quantization for Efficient Video Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7375-7385} }
WB-DETR: Transformer-Based Detector Without Backbone-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Fanfan and Wei, Haoran and Zhao, Wenzhe and Li, Guozhen and Peng, Jingquan and Li, Zihao}, title = {WB-DETR: Transformer-Based Detector Without Backbone}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2979-2987} }
Perceptual Variousness Motion Deblurring With Light Global Context Refinement-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jichun and Tan, Weimin and Yan, Bo}, title = {Perceptual Variousness Motion Deblurring With Light Global Context Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4116-4125} }
Self-Calibrating Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeong_2021_ICCV, author = {Jeong, Yoonwoo and Ahn, Seokjun and Choy, Christopher and Anandkumar, Anima and Cho, Minsu and Park, Jaesik}, title = {Self-Calibrating Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5846-5854} }
Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance-
[pdf]
[supp]
[bibtex]@InProceedings{Revaud_2021_ICCV, author = {Revaud, Jerome and Humenberger, Martin}, title = {Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4551-4561} }
RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Yuhang and Yu, Xin and Yang, Yi}, title = {RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3975-3984} }
In Defense of Scene Graphs for Image Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Kien and Tripathi, Subarna and Du, Bang and Guha, Tanaya and Nguyen, Truong Q.}, title = {In Defense of Scene Graphs for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1407-1416} }
Rank & Sort Loss for Object Detection and Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Oksuz_2021_ICCV, author = {Oksuz, Kemal and Cam, Baris Can and Akbas, Emre and Kalkan, Sinan}, title = {Rank \& Sort Loss for Object Detection and Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3009-3018} }
Synthesis of Compositional Animations From Textual Descriptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghosh_2021_ICCV, author = {Ghosh, Anindita and Cheema, Noshaba and Oguz, Cennet and Theobalt, Christian and Slusallek, Philipp}, title = {Synthesis of Compositional Animations From Textual Descriptions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1396-1406} }
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Chaoqi and Li, Jiongcheng and Zheng, Zebiao and Huang, Yue and Ding, Xinghao and Yu, Yizhou}, title = {Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2703-2712} }
Parametric Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Jiequan and Zhong, Zhisheng and Liu, Shu and Yu, Bei and Jia, Jiaya}, title = {Parametric Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {715-724} }
Visual Transformers: Where Do Transformers Really Belong in Vision Models?-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Bichen and Xu, Chenfeng and Dai, Xiaoliang and Wan, Alvin and Zhang, Peizhao and Yan, Zhicheng and Tomizuka, Masayoshi and Gonzalez, Joseph E. and Keutzer, Kurt and Vajda, Peter}, title = {Visual Transformers: Where Do Transformers Really Belong in Vision Models?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {599-609} }
Is Pseudo-Lidar Needed for Monocular 3D Object Detection?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Dennis and Ambrus, Rares and Guizilini, Vitor and Li, Jie and Gaidon, Adrien}, title = {Is Pseudo-Lidar Needed for Monocular 3D Object Detection?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3142-3152} }
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization-
[pdf]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Wei and Wan, Fang and Pan, Xingjia and Peng, Zhiliang and Tian, Qi and Han, Zhenjun and Zhou, Bolei and Ye, Qixiang}, title = {TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2886-2895} }
Deep 3D Mask Volume for View Synthesis of Dynamic Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Kai-En and Xiao, Lei and Liu, Feng and Yang, Guowei and Ramamoorthi, Ravi}, title = {Deep 3D Mask Volume for View Synthesis of Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1749-1758} }
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Matsumori_2021_ICCV, author = {Matsumori, Shoya and Shingyouchi, Kosuke and Abe, Yuki and Fukuchi, Yosuke and Sugiura, Komei and Imai, Michita}, title = {Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1898-1907} }
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rao_2021_ICCV, author = {Rao, Yongming and Chen, Guangyi and Lu, Jiwen and Zhou, Jie}, title = {Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1025-1034} }
Effectively Leveraging Attributes for Visual Similarity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mishra_2021_ICCV, author = {Mishra, Samarth and Zhang, Zhongping and Shen, Yuan and Kumar, Ranjitha and Saligrama, Venkatesh and Plummer, Bryan A.}, title = {Effectively Leveraging Attributes for Visual Similarity}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1015-1024} }
Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Juyoung and Ahn, Pyunghwan and Kim, Doyeon and Lee, Haeil and Kim, Junmo}, title = {Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {6413-6422} }
HiNet: Deep Image Hiding by Invertible Network-
[pdf]
[bibtex]@InProceedings{Jing_2021_ICCV, author = {Jing, Junpeng and Deng, Xin and Xu, Mai and Wang, Jianyi and Guan, Zhenyu}, title = {HiNet: Deep Image Hiding by Invertible Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4733-4742} }
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moreira_2021_ICCV, author = {Moreira, Gabriel and Marques, Manuel and Costeira, Jo\~ao Paulo}, title = {Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5452-5460} }
End-to-End Robust Joint Unsupervised Image Alignment and Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Xiangrui and Howe, Gregory and Xu, Min}, title = {End-to-End Robust Joint Unsupervised Image Alignment and Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3854-3866} }
Cross-Patch Graph Convolutional Network for Image Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yao and Fu, Xueyang and Zha, Zheng-Jun}, title = {Cross-Patch Graph Convolutional Network for Image Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {4651-4660} }
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2021_ICCV, author = {Jin, Zhenchao and Liu, Bin and Chu, Qi and Yu, Nenghai}, title = {ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7189-7198} }
Body-Face Joint Detection via Embedding and Head Hook-
[pdf]
[supp]
[bibtex]@InProceedings{Wan_2021_ICCV, author = {Wan, Junfeng and Deng, Jiangfan and Qiu, Xiaosong and Zhou, Feng}, title = {Body-Face Joint Detection via Embedding and Head Hook}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {2959-2968} }
Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qian_2021_ICCV, author = {Qian, Rui and Li, Yuxi and Liu, Huabin and See, John and Ding, Shuangrui and Liu, Xian and Li, Dian and Lin, Weiyao}, title = {Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7990-8001} }
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-Based 3D Detector-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Xiaoyang and Shi, Shaoshuai and Wang, Xiaogang and Li, Hongsheng}, title = {LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-Based 3D Detector}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3153-3163} }
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Yu-Qi and Wang, Peng-Shuai and Liu, Yang}, title = {Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {7467-7475} }
Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2021_ICCV, author = {Shen, Mingzhu and Liang, Feng and Gong, Ruihao and Li, Yuhang and Li, Chuming and Lin, Chen and Yu, Fengwei and Yan, Junjie and Ouyang, Wanli}, title = {Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {5340-5349} }
Oriented R-CNN for Object Detection-
[pdf]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Xingxing and Cheng, Gong and Wang, Jiabao and Yao, Xiwen and Han, Junwei}, title = {Oriented R-CNN for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {3520-3529} }
TransVG: End-to-End Visual Grounding With Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2021_ICCV, author = {Deng, Jiajun and Yang, Zhengyuan and Chen, Tianlang and Zhou, Wengang and Li, Houqiang}, title = {TransVG: End-to-End Visual Grounding With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1769-1779} }
Airbert: In-Domain Pretraining for Vision-and-Language Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guhur_2021_ICCV, author = {Guhur, Pierre-Louis and Tapaswi, Makarand and Chen, Shizhe and Laptev, Ivan and Schmid, Cordelia}, title = {Airbert: In-Domain Pretraining for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {1634-1643} }
Back