Papers
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AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition-
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[arXiv]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Lei and Zhang, Yifan and Cheng, Jian and Lu, Hanqing}, title = {AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13413-13422} }
C2N: Practical Generative Noise Modeling for Real-World Denoising-
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[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-
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[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} }
FOVEA: Foveated Image Magnification for Autonomous Navigation-
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[arXiv]
[bibtex]@InProceedings{Thavamani_2021_ICCV, author = {Thavamani, Chittesh and Li, Mengtian and Cebron, Nicolas and Ramanan, Deva}, title = {FOVEA: Foveated Image Magnification for Autonomous Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15539-15548} }
PlenOctrees for Real-Time Rendering of Neural Radiance Fields-
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[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-
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[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-
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[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-
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[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} }
4D-Net for Learned Multi-Modal Alignment-
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[arXiv]
[bibtex]@InProceedings{Piergiovanni_2021_ICCV, author = {Piergiovanni, AJ and Casser, Vincent and Ryoo, Michael S. and Angelova, Anelia}, title = {4D-Net for Learned Multi-Modal Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15435-15445} }
Patch Craft: Video Denoising by Deep Modeling and Patch Matching-
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[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} }
Image Manipulation Detection by Multi-View Multi-Scale Supervision-
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[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xinru and Dong, Chengbo and Ji, Jiaqi and Cao, Juan and Li, Xirong}, title = {Image Manipulation Detection by Multi-View Multi-Scale Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14185-14193} }
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation-
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[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yachao and Qu, Yanyun and Xie, Yuan and Li, Zonghao and Zheng, Shanshan and Li, Cuihua}, title = {Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15520-15528} }
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation-
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[bibtex]@InProceedings{Usvyatsov_2021_ICCV, author = {Usvyatsov, Mikhail and Makarova, Anastasia and Ballester-Ripoll, Rafael and Rakhuba, Maxim and Krause, Andreas and Schindler, Konrad}, title = {Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11426-11435} }
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query-
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[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} }
EventHands: Real-Time Neural 3D Hand Pose Estimation From an Event Stream-
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[arXiv]
[bibtex]@InProceedings{Rudnev_2021_ICCV, author = {Rudnev, Viktor and Golyanik, Vladislav and Wang, Jiayi and Seidel, Hans-Peter and Mueller, Franziska and Elgharib, Mohamed and Theobalt, Christian}, title = {EventHands: Real-Time Neural 3D Hand Pose Estimation From an Event Stream}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12385-12395} }
Composable Augmentation Encoding for Video Representation Learning-
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[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Chen and Nagrani, Arsha and Tian, Yonglong and Schmid, Cordelia}, title = {Composable Augmentation Encoding for Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8834-8844} }
Exploiting Explanations for Model Inversion Attacks-
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[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-
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[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-
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[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-
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[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-
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[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} }
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring-
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[arXiv]
[bibtex]@InProceedings{Pantazis_2021_ICCV, author = {Pantazis, Omiros and Brostow, Gabriel J. and Jones, Kate E. and Mac Aodha, Oisin}, title = {Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10583-10592} }
Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision-
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[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ning-Hsu and Wang, Ren and Liu, Yu-Lun and Huang, Yu-Hao and Chang, Yu-Lin and Chen, Chia-Ping and Jou, Kevin}, title = {Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12621-12631} }
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions-
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[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} }
DOLG: Single-Stage Image Retrieval With Deep Orthogonal Fusion of Local and Global Features-
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[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Min and He, Dongliang and Fan, Miao and Shi, Baorong and Xue, Xuetong and Li, Fu and Ding, Errui and Huang, Jizhou}, title = {DOLG: Single-Stage Image Retrieval With Deep Orthogonal Fusion of Local and Global Features}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11772-11781} }
Light Source Guided Single-Image Flare Removal From Unpaired Data-
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[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} }
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization-
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[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Wei and Zheng, Haitian and Liao, Haofu and Li, Weijian and Luo, Jiebo}, title = {Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15002-15012} }
Selective Feature Compression for Efficient Activity Recognition Inference-
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[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Chunhui and Li, Xinyu and Chen, Hao and Modolo, Davide and Tighe, Joseph}, title = {Selective Feature Compression for Efficient Activity Recognition Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13628-13637} }
Attention-Based Multi-Reference Learning for Image Super-Resolution-
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[arXiv]
[bibtex]@InProceedings{Pesavento_2021_ICCV, author = {Pesavento, Marco and Volino, Marco and Hilton, Adrian}, title = {Attention-Based Multi-Reference Learning for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14697-14706} }
Spatial-Temporal Transformer for Dynamic Scene Graph Generation-
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[arXiv]
[bibtex]@InProceedings{Cong_2021_ICCV, author = {Cong, Yuren and Liao, Wentong and Ackermann, Hanno and Rosenhahn, Bodo and Yang, Michael Ying}, title = {Spatial-Temporal Transformer for Dynamic Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16372-16382} }
Deep Transport Network for Unsupervised Video Object Segmentation-
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[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Kaihua and Zhao, Zicheng and Liu, Dong and Liu, Qingshan and Liu, Bo}, title = {Deep Transport Network for Unsupervised Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8781-8790} }
RDI-Net: Relational Dynamic Inference Networks-
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[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} }
Densely Guided Knowledge Distillation Using Multiple Teacher Assistants-
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[arXiv]
[bibtex]@InProceedings{Son_2021_ICCV, author = {Son, Wonchul and Na, Jaemin and Choi, Junyong and Hwang, Wonjun}, title = {Densely Guided Knowledge Distillation Using Multiple Teacher Assistants}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9395-9404} }
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift-
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[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Jiefeng and Zhang, Jiqi and Li, Changlin and Wang, Guangrun and Liang, Xiaodan and Lin, Liang}, title = {Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12354-12364} }
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators-
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[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-
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[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} }
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection-
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[bibtex]@InProceedings{Diomataris_2021_ICCV, author = {Diomataris, Markos and Gkanatsios, Nikolaos and Pitsikalis, Vassilis and Maragos, Petros}, title = {Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15911-15920} }
Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data-
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[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} }
Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation-
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[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Qiusheng and Zheng, Zhilin and Hu, Xueqi and Sun, Li and Li, Qingli}, title = {Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14628-14637} }
A Broad Study on the Transferability of Visual Representations With Contrastive Learning-
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[arXiv]
[bibtex]@InProceedings{Islam_2021_ICCV, author = {Islam, Ashraful and Chen, Chun-Fu (Richard) and Panda, Rameswar and Karlinsky, Leonid and Radke, Richard and Feris, Rogerio}, title = {A Broad Study on the Transferability of Visual Representations With Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8845-8855} }
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series-
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[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} }
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty-
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[arXiv]
[bibtex]@InProceedings{Qu_2021_ICCV, author = {Qu, Chao and Liu, Wenxin and Taylor, Camillo J.}, title = {Bayesian Deep Basis Fitting for Depth Completion With Uncertainty}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16147-16157} }
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks-
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[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-
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[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} }
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching-
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[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Bing and Chen, Changhao and Cui, Zhaopeng and Qin, Jie and Lu, Chris Xiaoxuan and Yu, Zhengdi and Zhao, Peijun and Dong, Zhen and Zhu, Fan and Trigoni, Niki and Markham, Andrew}, title = {P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16004-16013} }
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation-
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[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} }
Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation-
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[bibtex]@InProceedings{Hao_2021_ICCV, author = {Hao, Xin and Zhao, Sanyuan and Ye, Mang and Shen, Jianbing}, title = {Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16403-16412} }
T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning-
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[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-
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[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-
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[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-
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[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-
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[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} }
StructDepth: Leveraging the Structural Regularities for Self-Supervised Indoor Depth Estimation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Boying and Huang, Yuan and Liu, Zeyu and Zou, Danping and Yu, Wenxian}, title = {StructDepth: Leveraging the Structural Regularities for Self-Supervised Indoor Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12663-12673} }
Feature Interactive Representation for Point Cloud Registration-
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[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-
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[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} }
LSG-CPD: Coherent Point Drift With Local Surface Geometry for Point Cloud Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Weixiao and Wu, Hongtao and Chirikjian, Gregory S.}, title = {LSG-CPD: Coherent Point Drift With Local Surface Geometry for Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15293-15302} }
ISD: Self-Supervised Learning by Iterative Similarity Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tejankar_2021_ICCV, author = {Tejankar, Ajinkya and Koohpayegani, Soroush Abbasi and Pillai, Vipin and Favaro, Paolo and Pirsiavash, Hamed}, title = {ISD: Self-Supervised Learning by Iterative Similarity Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9609-9618} }
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Rongchang and Wang, Chunyu and Zeng, Wenjun and Wang, Yizhou}, title = {An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11240-11249} }
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} }
Support-Set Based Cross-Supervision for Video Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Xinpeng and Wang, Nannan and Zhang, Shiwei and Cheng, De and Li, Xiaomeng and Huang, Ziyuan and Tang, Mingqian and Gao, Xinbo}, title = {Support-Set Based Cross-Supervision for Video Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11573-11582} }
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} }
Voxel-Based Network for Shape Completion by Leveraging Edge Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xiaogang and Ang, Marcelo H and Lee, Gim Hee}, title = {Voxel-Based Network for Shape Completion by Leveraging Edge Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13189-13198} }
THUNDR: Transformer-Based 3D Human Reconstruction With Markers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zanfir_2021_ICCV, author = {Zanfir, Mihai and Zanfir, Andrei and Bazavan, Eduard Gabriel and Freeman, William T. and Sukthankar, Rahul and Sminchisescu, Cristian}, title = {THUNDR: Transformer-Based 3D Human Reconstruction With Markers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12971-12980} }
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} }
Instance-Level Image Retrieval Using Reranking Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2021_ICCV, author = {Tan, Fuwen and Yuan, Jiangbo and Ordonez, Vicente}, title = {Instance-Level Image Retrieval Using Reranking Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12105-12115} }
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} }
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Zhiyuan and Chimitt, Nicholas and Chan, Stanley H.}, title = {Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14759-14768} }
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} }
Learning To Stylize Novel Views-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Hsin-Ping and Tseng, Hung-Yu and Saini, Saurabh and Singh, Maneesh and Yang, Ming-Hsuan}, title = {Learning To Stylize Novel Views}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13869-13878} }
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} }
Region-Aware Contrastive Learning for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Hanzhe and Cui, Jinshi and Wang, Liwei}, title = {Region-Aware Contrastive Learning for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16291-16301} }
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} }
Self-Supervised Real-to-Sim Scene Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prakash_2021_ICCV, author = {Prakash, Aayush and Debnath, Shoubhik and Lafleche, Jean-Francois and Cameracci, Eric and State, Gavriel and Birchfield, Stan and Law, Marc T.}, title = {Self-Supervised Real-to-Sim Scene Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16044-16054} }
GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network-
[pdf]
[supp]
[bibtex]@InProceedings{Razani_2021_ICCV, author = {Razani, Ryan and Cheng, Ran and Li, Enxu and Taghavi, Ehsan and Ren, Yuan and Bingbing, Liu}, title = {GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16076-16085} }
Learning From Noisy Data With Robust Representation Learning-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Junnan and Xiong, Caiming and Hoi, Steven C.H.}, title = {Learning From Noisy Data With Robust Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9485-9494} }
Self-Supervised 3D Skeleton Action Representation Learning With Motion Consistency and Continuity-
[pdf]
[supp]
[bibtex]@InProceedings{Su_2021_ICCV, author = {Su, Yukun and Lin, Guosheng and Wu, Qingyao}, title = {Self-Supervised 3D Skeleton Action Representation Learning With Motion Consistency and Continuity}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13328-13338} }
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} }
Sketch Your Own GAN-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Sheng-Yu and Bau, David and Zhu, Jun-Yan}, title = {Sketch Your Own GAN}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14050-14060} }
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} }
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Blattmann_2021_ICCV, author = {Blattmann, Andreas and Milbich, Timo and Dorkenwald, Michael and Ommer, Bj\"orn}, title = {iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14707-14717} }
Neural Radiance Flow for 4D View Synthesis and Video Processing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2021_ICCV, author = {Du, Yilun and Zhang, Yinan and Yu, Hong-Xing and Tenenbaum, Joshua B. and Wu, Jiajun}, title = {Neural Radiance Flow for 4D View Synthesis and Video Processing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14324-14334} }
Assignment-Space-Based Multi-Object Tracking and Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Choudhuri_2021_ICCV, author = {Choudhuri, Anwesa and Chowdhary, Girish and Schwing, Alexander G.}, title = {Assignment-Space-Based Multi-Object Tracking and Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13598-13607} }
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} }
R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating-
[pdf]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Zhongkai and Fan, Xinnan and Shi, Pengfei and Xin, Yuanxue}, title = {R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12777-12786} }
Spatially Conditioned Graphs for Detecting Human-Object Interactions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Frederic Z. and Campbell, Dylan and Gould, Stephen}, title = {Spatially Conditioned Graphs for Detecting Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13319-13327} }
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} }
End-to-End Detection and Pose Estimation of Two Interacting Hands-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Dong Uk and Kim, Kwang In and Baek, Seungryul}, title = {End-to-End Detection and Pose Estimation of Two Interacting Hands}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11189-11198} }
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hahner_2021_ICCV, author = {Hahner, Martin and Sakaridis, Christos and Dai, Dengxin and Van Gool, Luc}, title = {Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15283-15292} }
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zi_2021_ICCV, author = {Zi, Bojia and Zhao, Shihao and Ma, Xingjun and Jiang, Yu-Gang}, title = {Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16443-16452} }
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} }
Joint Inductive and Transductive Learning for Video Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Yunyao and Wang, Ning and Zhou, Wengang and Li, Houqiang}, title = {Joint Inductive and Transductive Learning for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9670-9679} }
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} }
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Siyuan and Liu, Jun and Lu, Shijian and Er, Meng Hwa and Kot, Alex C.}, title = {Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13423-13433} }
Latent Transformations via NeuralODEs for GAN-Based Image Editing-
[pdf]
[supp]
[bibtex]@InProceedings{Khrulkov_2021_ICCV, author = {Khrulkov, Valentin and Mirvakhabova, Leyla and Oseledets, Ivan and Babenko, Artem}, title = {Latent Transformations via NeuralODEs for GAN-Based Image Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14428-14437} }
DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders-
[pdf]
[bibtex]@InProceedings{Garau_2021_ICCV, author = {Garau, Nicola and Bisagno, Niccol\`o and Br\'odka, Piotr and Conci, Nicola}, title = {DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11677-11686} }
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} }
Geometry-Free View Synthesis: Transformers and No 3D Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rombach_2021_ICCV, author = {Rombach, Robin and Esser, Patrick and Ommer, Bj\"orn}, title = {Geometry-Free View Synthesis: Transformers and No 3D Priors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14356-14366} }
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} }
Salient Object Ranking With Position-Preserved Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fang_2021_ICCV, author = {Fang, Hao and Zhang, Daoxin and Zhang, Yi and Chen, Minghao and Li, Jiawei and Hu, Yao and Cai, Deng and He, Xiaofei}, title = {Salient Object Ranking With Position-Preserved Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16331-16341} }
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} }
DetCo: Unsupervised Contrastive Learning for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Enze and Ding, Jian and Wang, Wenhai and Zhan, Xiaohang and Xu, Hang and Sun, Peize and Li, Zhenguo and Luo, Ping}, title = {DetCo: Unsupervised Contrastive Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8392-8401} }
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} }
Clothing Status Awareness for Long-Term Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Yan and Wu, Qiang and Xu, JingSong and Zhong, Yi and Zhang, ZhaoXiang}, title = {Clothing Status Awareness for Long-Term Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11895-11904} }
Exploring Temporal Coherence for More General Video Face Forgery Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Yinglin and Bao, Jianmin and Chen, Dong and Zeng, Ming and Wen, Fang}, title = {Exploring Temporal Coherence for More General Video Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15044-15054} }
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} }
Image Synthesis via Semantic Composition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yi and Qi, Lu and Chen, Ying-Cong and Zhang, Xiangyu and Jia, Jiaya}, title = {Image Synthesis via Semantic Composition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13749-13758} }
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bednarik_2021_ICCV, author = {Bednarik, Jan and Kim, Vladimir G. and Chaudhuri, Siddhartha and Parashar, Shaifali and Salzmann, Mathieu and Fua, Pascal and Aigerman, Noam}, title = {Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10458-10467} }
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Zhipeng and Sener, Ozan and Koltun, Vladlen}, title = {Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8281-8290} }
Social Fabric: Tubelet Compositions for Video Relation Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shuo and Shi, Zenglin and Mettes, Pascal and Snoek, Cees G. M.}, title = {Social Fabric: Tubelet Compositions for Video Relation Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13485-13494} }
On Feature Decorrelation in Self-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hua_2021_ICCV, author = {Hua, Tianyu and Wang, Wenxiao and Xue, Zihui and Ren, Sucheng and Wang, Yue and Zhao, Hang}, title = {On Feature Decorrelation in Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9598-9608} }
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} }
Low Curvature Activations Reduce Overfitting in Adversarial Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Singla_2021_ICCV, author = {Singla, Vasu and Singla, Sahil and Feizi, Soheil and Jacobs, David}, title = {Low Curvature Activations Reduce Overfitting in Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16423-16433} }
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} }
Adaptive Focus for Efficient Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yulin and Chen, Zhaoxi and Jiang, Haojun and Song, Shiji and Han, Yizeng and Huang, Gao}, title = {Adaptive Focus for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16249-16258} }
Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jing and Kang, Di and Pei, Wenjie and Zhe, Xuefei and Zhang, Ying and He, Zhenyu and Bao, Linchao}, title = {Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11293-11302} }
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} }
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference-
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[supp]
[bibtex]@InProceedings{Graham_2021_ICCV, author = {Graham, Benjamin and El-Nouby, Alaaeldin and Touvron, Hugo and Stock, Pierre and Joulin, Armand and J\'egou, Herv\'e and Douze, Matthijs}, title = {LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12259-12269} }
Active Universal Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Xinhong and Gao, Junyu and Xu, Changsheng}, title = {Active Universal Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8968-8977} }
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chu_2021_ICCV, author = {Chu, Xiangxiang and Zhang, Bo and Xu, Ruijun}, title = {FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12239-12248} }
Keep CALM and Improve Visual Feature Attribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Jae Myung and Choe, Junsuk and Akata, Zeynep and Oh, Seong Joon}, title = {Keep CALM and Improve Visual Feature Attribution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8350-8360} }
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} }
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.-
[pdf]
[supp]
[bibtex]@InProceedings{Djilali_2021_ICCV, author = {Djilali, Yasser Abdelaziz Dahou and Krishna, Tarun and McGuinness, Kevin and O{\textquoteright}Connor, Noel E.}, title = {Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15414-15424} }
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} }
Lipschitz Continuity Guided Knowledge Distillation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shang_2021_ICCV, author = {Shang, Yuzhang and Duan, Bin and Zong, Ziliang and Nie, Liqiang and Yan, Yan}, title = {Lipschitz Continuity Guided Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10675-10684} }
Instance Similarity Learning for Unsupervised Feature Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ziwei and Wang, Yunsong and Wu, Ziyi and Lu, Jiwen and Zhou, Jie}, title = {Instance Similarity Learning for Unsupervised Feature Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10336-10345} }
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} }
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Fang and Wang, Le and Zhou, Sanping and Tang, Wei and Niu, Zhenxing and Zheng, Nanning and Hua, Gang}, title = {Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13168-13177} }
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} }
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions-
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[supp]
[bibtex]@InProceedings{Yuksel_2021_ICCV, author = {Y\"uksel, O\u{g}uz Kaan and Simsar, Enis and Er, Ezgi G\"ulperi and Yanardag, Pinar}, title = {LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14263-14272} }
Few-Shot Visual Relationship Co-Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Teotia_2021_ICCV, author = {Teotia, Revant and Mishra, Vaibhav and Maheshwari, Mayank and Mishra, Anand}, title = {Few-Shot Visual Relationship Co-Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16342-16351} }
RFNet: Recurrent Forward Network for Dense Point Cloud Completion-
[pdf]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Tianxin and Zou, Hao and Cui, Jinhao and Yang, Xuemeng and Wang, Mengmeng and Zhao, Xiangrui and Zhang, Jiangning and Yuan, Yi and Xu, Yifan and Liu, Yong}, title = {RFNet: Recurrent Forward Network for Dense Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12508-12517} }
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} }
PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Xumin and Rao, Yongming and Wang, Ziyi and Liu, Zuyan and Lu, Jiwen and Zhou, Jie}, title = {PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12498-12507} }
Learn-To-Race: A Multimodal Control Environment for Autonomous Racing-
[pdf]
[supp]
[bibtex]@InProceedings{Herman_2021_ICCV, author = {Herman, James and Francis, Jonathan and Ganju, Siddha and Chen, Bingqing and Koul, Anirudh and Gupta, Abhinav and Skabelkin, Alexey and Zhukov, Ivan and Kumskoy, Max and Nyberg, Eric}, title = {Learn-To-Race: A Multimodal Control Environment for Autonomous Racing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9793-9802} }
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Hezhen and Zhao, Weichao and Zhou, Wengang and Wang, Yuechen and Li, Houqiang}, title = {SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11087-11096} }
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} }
Probabilistic Modeling for Human Mesh Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kolotouros_2021_ICCV, author = {Kolotouros, Nikos and Pavlakos, Georgios and Jayaraman, Dinesh and Daniilidis, Kostas}, title = {Probabilistic Modeling for Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11605-11614} }
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} }
Understanding and Mitigating Annotation Bias in Facial Expression Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yunliang and Joo, Jungseock}, title = {Understanding and Mitigating Annotation Bias in Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14980-14991} }
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} }
Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization-
[pdf]
[bibtex]@InProceedings{Bi_2021_ICCV, author = {Bi, Xiuli and Zhang, Zhipeng and Xiao, Bin}, title = {Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14294-14303} }
Learning To Regress Bodies From Images Using Differentiable Semantic Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dwivedi_2021_ICCV, author = {Dwivedi, Sai Kumar and Athanasiou, Nikos and Kocabas, Muhammed and Black, Michael J.}, title = {Learning To Regress Bodies From Images Using Differentiable Semantic Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11250-11259} }
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rasouli_2021_ICCV, author = {Rasouli, Amir and Rohani, Mohsen and Luo, Jun}, title = {Bifold and Semantic Reasoning for Pedestrian Behavior Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15600-15610} }
Learning Target Candidate Association To Keep Track of What Not To Track-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mayer_2021_ICCV, author = {Mayer, Christoph and Danelljan, Martin and Paudel, Danda Pani and Van Gool, Luc}, title = {Learning Target Candidate Association To Keep Track of What Not To Track}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13444-13454} }
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choe_2021_ICCV, author = {Choe, Jaesung and Im, Sunghoon and Rameau, Francois and Kang, Minjun and Kweon, In So}, title = {VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16086-16095} }
Black-Box Detection of Backdoor Attacks With Limited Information and Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2021_ICCV, author = {Dong, Yinpeng and Yang, Xiao and Deng, Zhijie and Pang, Tianyu and Xiao, Zihao and Su, Hang and Zhu, Jun}, title = {Black-Box Detection of Backdoor Attacks With Limited Information and Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16482-16491} }
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} }
Semantic Concentration for Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Shuang and Xie, Mixue and Lv, Fangrui and Liu, Chi Harold and Liang, Jian and Qin, Chen and Li, Wei}, title = {Semantic Concentration for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9102-9111} }
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} }
Distributional Robustness Loss for Long-Tail Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Samuel_2021_ICCV, author = {Samuel, Dvir and Chechik, Gal}, title = {Distributional Robustness Loss for Long-Tail Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9495-9504} }
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} }
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan}, title = {Exploring Simple 3D Multi-Object Tracking for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10488-10497} }
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} }
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vasudeva_2021_ICCV, author = {Vasudeva, Bhavya and Deora, Puneesh and Bhattacharya, Saumik and Pal, Umapada and Chanda, Sukalpa}, title = {LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10634-10643} }
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} }
Motion Basis Learning for Unsupervised Deep Homography Estimation With Subspace Projection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Nianjin and Wang, Chuan and Fan, Haoqiang and Liu, Shuaicheng}, title = {Motion Basis Learning for Unsupervised Deep Homography Estimation With Subspace Projection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13117-13125} }
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} }
AI Choreographer: Music Conditioned 3D Dance Generation With AIST++-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Ruilong and Yang, Shan and Ross, David A. and Kanazawa, Angjoo}, title = {AI Choreographer: Music Conditioned 3D Dance Generation With AIST++}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13401-13412} }
PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud Upsampling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Luqing and Tang, Lulu and Zhou, Wanyi and Wang, Shizheng and Yang, Zhi-Xin}, title = {PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud Upsampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16208-16217} }
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Yanda and Zhang, Hongrun and Zhao, Yitian and Yang, Xiaoyun and Qian, Xuesheng and Huang, Xiaowei and Zheng, Yalin}, title = {Spatial Uncertainty-Aware Semi-Supervised Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15549-15559} }
SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators-
[pdf]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Andrew and Li, Tianqin and Zhang, Wen-Hao and Lee, Tai Sing}, title = {SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16238-16248} }
TransReID: Transformer-Based Object Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Shuting and Luo, Hao and Wang, Pichao and Wang, Fan and Li, Hao and Jiang, Wei}, title = {TransReID: Transformer-Based Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15013-15022} }
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} }
Self-Mutual Distillation Learning for Continuous Sign Language Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Hao_2021_ICCV, author = {Hao, Aiming and Min, Yuecong and Chen, Xilin}, title = {Self-Mutual Distillation Learning for Continuous Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11303-11312} }
SOMA: Solving Optical Marker-Based MoCap Automatically-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghorbani_2021_ICCV, author = {Ghorbani, Nima and Black, Michael J.}, title = {SOMA: Solving Optical Marker-Based MoCap Automatically}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11117-11126} }
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} }
In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Xiong_2021_ICCV, author = {Xiong, Jinhui and Heidrich, Wolfgang}, title = {In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12558-12567} }
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} }
Understanding Robustness of Transformers for Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhojanapalli_2021_ICCV, author = {Bhojanapalli, Srinadh and Chakrabarti, Ayan and Glasner, Daniel and Li, Daliang and Unterthiner, Thomas and Veit, Andreas}, title = {Understanding Robustness of Transformers for Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10231-10241} }
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} }
DenseTNT: End-to-End Trajectory Prediction From Dense Goal Sets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Junru and Sun, Chen and Zhao, Hang}, title = {DenseTNT: End-to-End Trajectory Prediction From Dense Goal Sets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15303-15312} }
Segmentation-Grounded Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khandelwal_2021_ICCV, author = {Khandelwal, Siddhesh and Suhail, Mohammed and Sigal, Leonid}, title = {Segmentation-Grounded Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15879-15889} }
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} }
Geography-Aware Self-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ayush_2021_ICCV, author = {Ayush, Kumar and Uzkent, Burak and Meng, Chenlin and Tanmay, Kumar and Burke, Marshall and Lobell, David and Ermon, Stefano}, title = {Geography-Aware Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10181-10190} }
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} }
Shape-Aware Multi-Person Pose Estimation From Multi-View Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dong_2021_ICCV, author = {Dong, Zijian and Song, Jie and Chen, Xu and Guo, Chen and Hilliges, Otmar}, title = {Shape-Aware Multi-Person Pose Estimation From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11158-11168} }
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} }
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation-
[pdf]
[supp]
[bibtex]@InProceedings{Choi_2021_ICCV, author = {Choi, Myungsub and Lee, Suyoung and Kim, Heewon and Lee, Kyoung Mu}, title = {Motion-Aware Dynamic Architecture for Efficient Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13839-13848} }
Contrasting Contrastive Self-Supervised Representation Learning Pipelines-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kotar_2021_ICCV, author = {Kotar, Klemen and Ilharco, Gabriel and Schmidt, Ludwig and Ehsani, Kiana and Mottaghi, Roozbeh}, title = {Contrasting Contrastive Self-Supervised Representation Learning Pipelines}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9949-9959} }
Normalized Human Pose Features for Human Action Video Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Jingyuan and Shi, Mingyi and Chen, Qifeng and Fu, Hongbo and Tai, Chiew-Lan}, title = {Normalized Human Pose Features for Human Action Video Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11521-11531} }
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} }
Indoor Scene Generation From a Collection of Semantic-Segmented Depth Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Ming-Jia and Guo, Yu-Xiao and Zhou, Bin and Tong, Xin}, title = {Indoor Scene Generation From a Collection of Semantic-Segmented Depth Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15203-15212} }
Keypoint Communities-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zauss_2021_ICCV, author = {Zauss, Duncan and Kreiss, Sven and Alahi, Alexandre}, title = {Keypoint Communities}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11057-11066} }
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Lijun and Wang, Yifan and Wang, Linzhao and Zhan, Yunlong and Wang, Ying and Lu, Huchuan}, title = {Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12727-12736} }
Multi-Task Self-Training for Learning General Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghiasi_2021_ICCV, author = {Ghiasi, Golnaz and Zoph, Barret and Cubuk, Ekin D. and Le, Quoc V. and Lin, Tsung-Yi}, title = {Multi-Task Self-Training for Learning General Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8856-8865} }
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} }
Training Weakly Supervised Video Frame Interpolation With Events-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Zhiyang and Zhang, Yu and Liu, Deyuan and Zou, Dongqing and Chen, Xijun and Liu, Yebin and Ren, Jimmy S.}, title = {Training Weakly Supervised Video Frame Interpolation With Events}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14589-14598} }
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} }
ID-Reveal: Identity-Aware DeepFake Video Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Cozzolino_2021_ICCV, author = {Cozzolino, Davide and R\"ossler, Andreas and Thies, Justus and Nie{\ss}ner, Matthias and Verdoliva, Luisa}, title = {ID-Reveal: Identity-Aware DeepFake Video Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15108-15117} }
GAN-Control: Explicitly Controllable GANs-
[pdf]
[supp]
[bibtex]@InProceedings{Shoshan_2021_ICCV, author = {Shoshan, Alon and Bhonker, Nadav and Kviatkovsky, Igor and Medioni, G\'erard}, title = {GAN-Control: Explicitly Controllable GANs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14083-14093} }
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Feiran and Fujiwara, Kent and Okura, Fumio and Matsushita, Yasuyuki}, title = {A Closer Look at Rotation-Invariant Deep Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16218-16227} }
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} }
Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2021_ICCV, author = {Jin, Xin and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo}, title = {Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9174-9183} }
Learning To Adversarially Blur Visual Object Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Qing and Cheng, Ziyi and Juefei-Xu, Felix and Ma, Lei and Xie, Xiaofei and Liu, Yang and Zhao, Jianjun}, title = {Learning To Adversarially Blur Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10839-10848} }
Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chowdhury_2021_ICCV, author = {Chowdhury, Arkabandhu and Jiang, Mingchao and Chaudhuri, Swarat and Jermaine, Chris}, title = {Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9445-9454} }
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} }
Orthogonal Projection Loss-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ranasinghe_2021_ICCV, author = {Ranasinghe, Kanchana and Naseer, Muzammal and Hayat, Munawar and Khan, Salman and Khan, Fahad Shahbaz}, title = {Orthogonal Projection Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12333-12343} }
Deep Virtual Markers for Articulated 3D Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Hyomin and Kim, Jungeon and Kam, Jaewon and Park, Jaesik and Lee, Seungyong}, title = {Deep Virtual Markers for Articulated 3D Shapes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11615-11625} }
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} }
One-Pass Multi-View Clustering for Large-Scale Data-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Jiyuan and Liu, Xinwang and Yang, Yuexiang and Liu, Li and Wang, Siqi and Liang, Weixuan and Shi, Jiangyong}, title = {One-Pass Multi-View Clustering for Large-Scale Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12344-12353} }
Knowledge-Enriched Distributional Model Inversion Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Si and Kahla, Mostafa and Jia, Ruoxi and Qi, Guo-Jun}, title = {Knowledge-Enriched Distributional Model Inversion Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16178-16187} }
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} }
M3D-VTON: A Monocular-to-3D Virtual Try-On Network-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Fuwei and Xie, Zhenyu and Kampffmeyer, Michael and Dong, Haoye and Han, Songfang and Zheng, Tianxiang and Zhang, Tao and Liang, Xiaodan}, title = {M3D-VTON: A Monocular-to-3D Virtual Try-On Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13239-13249} }
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} }
Omni-GAN: On the Secrets of cGANs and Beyond-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Peng and Xie, Lingxi and Ni, Bingbing and Geng, Cong and Tian, Qi}, title = {Omni-GAN: On the Secrets of cGANs and Beyond}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14061-14071} }
ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sakaridis_2021_ICCV, author = {Sakaridis, Christos and Dai, Dengxin and Van Gool, Luc}, title = {ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10765-10775} }
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} }
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Weixin and Wang, Yuanjiang and Ma, Lihua and Yuan, Ye and Zhang, Chi}, title = {Temporal Knowledge Consistency for Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10170-10180} }
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} }
Unsupervised Image Generation With Infinite Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ying_2021_ICCV, author = {Ying, Hui and Wang, He and Shao, Tianjia and Yang, Yin and Zhou, Kun}, title = {Unsupervised Image Generation With Infinite Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14284-14293} }
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} }
Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories-
[pdf]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Songtao and Sadeghi, Mohammad Amin and Chawla, Sanjay and Alizadeh, Mohammad and Balakrishnan, Hari and Madden, Samuel}, title = {Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11977-11985} }
Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jang_2021_ICCV, author = {Jang, Young Kyun and Cho, Nam Ik}, title = {Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12085-12094} }
On Equivariant and Invariant Learning of Object Landmark Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Zezhou and Su, Jong-Chyi and Maji, Subhransu}, title = {On Equivariant and Invariant Learning of Object Landmark Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9897-9906} }
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} }
VariTex: Variational Neural Face Textures-
[pdf]
[supp]
[bibtex]@InProceedings{Buhler_2021_ICCV, author = {B\"uhler, Marcel C. and Meka, Abhimitra and Li, Gengyan and Beeler, Thabo and Hilliges, Otmar}, title = {VariTex: Variational Neural Face Textures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13890-13899} }
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Qin and Dai, Dengxin and Hoyer, Lukas and Van Gool, Luc and Fink, Olga}, title = {Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8515-8525} }
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} }
Deep Hough Voting for Robust Global Registration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Junha and Kim, Seungwook and Cho, Minsu and Park, Jaesik}, title = {Deep Hough Voting for Robust Global Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15994-16003} }
Image Synthesis From Layout With Locality-Aware Mask Adaption-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zejian and Wu, Jingyu and Koh, Immanuel and Tang, Yongchuan and Sun, Lingyun}, title = {Image Synthesis From Layout With Locality-Aware Mask Adaption}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13819-13828} }
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kukleva_2021_ICCV, author = {Kukleva, Anna and Kuehne, Hilde and Schiele, Bernt}, title = {Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9020-9029} }
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} }
Unsupervised Domain Adaptive 3D Detection With Multi-Level Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2021_ICCV, author = {Luo, Zhipeng and Cai, Zhongang and Zhou, Changqing and Zhang, Gongjie and Zhao, Haiyu and Yi, Shuai and Lu, Shijian and Li, Hongsheng and Zhang, Shanghang and Liu, Ziwei}, title = {Unsupervised Domain Adaptive 3D Detection With Multi-Level Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8866-8875} }
Transporting Causal Mechanisms for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yue_2021_ICCV, author = {Yue, Zhongqi and Sun, Qianru and Hua, Xian-Sheng and Zhang, Hanwang}, title = {Transporting Causal Mechanisms for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8599-8608} }
Learning To Estimate Hidden Motions With Global Motion Aggregation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Shihao and Campbell, Dylan and Lu, Yao and Li, Hongdong and Hartley, Richard}, title = {Learning To Estimate Hidden Motions With Global Motion Aggregation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9772-9781} }
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} }
TAM: Temporal Adaptive Module for Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zhaoyang and Wang, Limin and Wu, Wayne and Qian, Chen and Lu, Tong}, title = {TAM: Temporal Adaptive Module for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13708-13718} }
Generating Masks From Boxes by Mining Spatio-Temporal Consistencies in Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Bin and Bhat, Goutam and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {Generating Masks From Boxes by Mining Spatio-Temporal Consistencies in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13556-13566} }
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} }
Learning Rare Category Classifiers on a Tight Labeling Budget-
[pdf]
[supp]
[bibtex]@InProceedings{Mullapudi_2021_ICCV, author = {Mullapudi, Ravi Teja and Poms, Fait and Mark, William R. and Ramanan, Deva and Fatahalian, Kayvon}, title = {Learning Rare Category Classifiers on a Tight Labeling Budget}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8423-8432} }
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} }
3D Human Texture Estimation From a Single Image With Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Xiangyu and Loy, Chen Change}, title = {3D Human Texture Estimation From a Single Image With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13849-13858} }
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Xiaoming and Agrawal, Harsh and Batra, Dhruv and Schwing, Alexander G.}, title = {The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16127-16136} }
Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Verwimp_2021_ICCV, author = {Verwimp, Eli and De Lange, Matthias and Tuytelaars, Tinne}, title = {Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9385-9394} }
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} }
Discover the Unknown Biased Attribute of an Image Classifier-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zhiheng and Xu, Chenliang}, title = {Discover the Unknown Biased Attribute of an Image Classifier}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14970-14979} }
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} }
DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Ruan_2021_ICCV, author = {Ruan, Shulan and Zhang, Yong and Zhang, Kun and Fan, Yanbo and Tang, Fan and Liu, Qi and Chen, Enhong}, title = {DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13960-13969} }
Learning Facial Representations From the Cycle-Consistency of Face-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2021_ICCV, author = {Chang, Jia-Ren and Chen, Yong-Sheng and Chiu, Wei-Chen}, title = {Learning Facial Representations From the Cycle-Consistency of Face}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9680-9689} }
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} }
Influence Selection for Active Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zhuoming and Ding, Hao and Zhong, Huaping and Li, Weijia and Dai, Jifeng and He, Conghui}, title = {Influence Selection for Active Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9274-9283} }
Visual Alignment Constraint for Continuous Sign Language Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Min_2021_ICCV, author = {Min, Yuecong and Hao, Aiming and Chai, Xiujuan and Chen, Xilin}, title = {Visual Alignment Constraint for Continuous Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11542-11551} }
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} }
Contextually Plausible and Diverse 3D Human Motion Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aliakbarian_2021_ICCV, author = {Aliakbarian, Sadegh and Saleh, Fatemeh and Petersson, Lars and Gould, Stephen and Salzmann, Mathieu}, title = {Contextually Plausible and Diverse 3D Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11333-11342} }
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} }
Condensing a Sequence to One Informative Frame for Video Recognition-
[pdf]
[bibtex]@InProceedings{Qiu_2021_ICCV, author = {Qiu, Zhaofan and Yao, Ting and Shu, Yan and Ngo, Chong-Wah and Mei, Tao}, title = {Condensing a Sequence to One Informative Frame for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16311-16320} }
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} }
Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prabhu_2021_ICCV, author = {Prabhu, Viraj and Chandrasekaran, Arjun and Saenko, Kate and Hoffman, Judy}, title = {Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8505-8514} }
Detail Me More: Improving GAN's Photo-Realism of Complex Scenes-
[pdf]
[supp]
[bibtex]@InProceedings{Gadde_2021_ICCV, author = {Gadde, Raghudeep and Feng, Qianli and Martinez, Aleix M.}, title = {Detail Me More: Improving GAN's Photo-Realism of Complex Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13950-13959} }
Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jiarui and Wang, Xiaolong}, title = {Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10075-10085} }
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} }
PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial Metric-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Jingwei and Zhang, Yanfeng and Sun, Mingwei}, title = {PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial Metric}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15343-15353} }
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Rui and Deng, Hanming and Huang, Yangyi and Shi, Xiaoyu and Lu, Lewei and Sun, Wenxiu and Wang, Xiaogang and Dai, Jifeng and Li, Hongsheng}, title = {FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14040-14049} }
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} }
Co2L: Contrastive Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Cha_2021_ICCV, author = {Cha, Hyuntak and Lee, Jaeho and Shin, Jinwoo}, title = {Co2L: Contrastive Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9516-9525} }
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} }
Unconstrained Scene Generation With Locally Conditioned Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{DeVries_2021_ICCV, author = {DeVries, Terrance and Bautista, Miguel Angel and Srivastava, Nitish and Taylor, Graham W. and Susskind, Joshua M.}, title = {Unconstrained Scene Generation With Locally Conditioned Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14304-14313} }
3D Human Pose Estimation With Spatial and Temporal Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Ce and Zhu, Sijie and Mendieta, Matias and Yang, Taojiannan and Chen, Chen and Ding, Zhengming}, title = {3D Human Pose Estimation With Spatial and Temporal Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11656-11665} }
Self-Supervised Representation Learning From Flow Equivariance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiong_2021_ICCV, author = {Xiong, Yuwen and Ren, Mengye and Zeng, Wenyuan and Urtasun, Raquel}, title = {Self-Supervised Representation Learning From Flow Equivariance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10191-10200} }
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} }
Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Hou_2021_ICCV, author = {Hou, Yuxin and Vig, Eleonora and Donoser, Michael and Bazzani, Loris}, title = {Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12147-12157} }
SemiHand: Semi-Supervised Hand Pose Estimation With Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Linlin and Chen, Shicheng and Yao, Angela}, title = {SemiHand: Semi-Supervised Hand Pose Estimation With Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11364-11373} }
Efficient Action Recognition via Dynamic Knowledge Propagation-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Hanul and Jain, Mihir and Lee, Jun-Tae and Yun, Sungrack and Porikli, Fatih}, title = {Efficient Action Recognition via Dynamic Knowledge Propagation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13719-13728} }
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} }
Homogeneous Architecture Augmentation for Neural Predictor-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yuqiao and Tang, Yehui and Sun, Yanan}, title = {Homogeneous Architecture Augmentation for Neural Predictor}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12249-12258} }
Co-Scale Conv-Attentional Image Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Weijian and Xu, Yifan and Chang, Tyler and Tu, Zhuowen}, title = {Co-Scale Conv-Attentional Image Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9981-9990} }
Impact of Aliasing on Generalization in Deep Convolutional Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vasconcelos_2021_ICCV, author = {Vasconcelos, Cristina and Larochelle, Hugo and Dumoulin, Vincent and Romijnders, Rob and Le Roux, Nicolas and Goroshin, Ross}, title = {Impact of Aliasing on Generalization in Deep Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10529-10538} }
PARE: Part Attention Regressor for 3D Human Body Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kocabas_2021_ICCV, author = {Kocabas, Muhammed and Huang, Chun-Hao P. and Hilliges, Otmar and Black, Michael J.}, title = {PARE: Part Attention Regressor for 3D Human Body Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11127-11137} }
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} }
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?-
[pdf]
[supp]
[bibtex]@InProceedings{Kobs_2021_ICCV, author = {Kobs, Konstantin and Steininger, Michael and Dulny, Andrzej and Hotho, Andreas}, title = {Do Different Deep Metric Learning Losses Lead to Similar Learned Features?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10644-10654} }
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} }
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing-
[pdf]
[supp]
[bibtex]@InProceedings{Ren_2021_ICCV, author = {Ren, Daxuan and Zheng, Jianmin and Cai, Jianfei and Li, Jiatong and Jiang, Haiyong and Cai, Zhongang and Zhang, Junzhe and Pan, Liang and Zhang, Mingyuan and Zhao, Haiyu and Yi, Shuai}, title = {CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12478-12487} }
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} }
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Assran_2021_ICCV, author = {Assran, Mahmoud and Caron, Mathilde and Misra, Ishan and Bojanowski, Piotr and Joulin, Armand and Ballas, Nicolas and Rabbat, Michael}, title = {Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8443-8452} }
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} }
Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Voskou_2021_ICCV, author = {Voskou, Andreas and Panousis, Konstantinos P. and Kosmopoulos, Dimitrios and Metaxas, Dimitris N. and Chatzis, Sotirios}, title = {Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11946-11955} }
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} }
Telling the What While Pointing to the Where: Multimodal Queries for Image Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Changpinyo_2021_ICCV, author = {Changpinyo, Soravit and Pont-Tuset, Jordi and Ferrari, Vittorio and Soricut, Radu}, title = {Telling the What While Pointing to the Where: Multimodal Queries for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12136-12146} }
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Chao and Han, Zhizhong and Liu, Yu-Shen and Zwicker, Matthias}, title = {Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12466-12477} }
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} }
Domain-Invariant Disentangled Network for Generalizable Object Detection-
[pdf]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Chuang and Yuan, Zehuan and Zhao, Sicheng and Sun, Peize and Wang, Changhu and Cai, Jianfei}, title = {Domain-Invariant Disentangled Network for Generalizable Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8771-8780} }
Social NCE: Contrastive Learning of Socially-Aware Motion Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yuejiang and Yan, Qi and Alahi, Alexandre}, title = {Social NCE: Contrastive Learning of Socially-Aware Motion Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15118-15129} }
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Braso_2021_ICCV, author = {Bras\'o, Guillem and Kister, Nikita and Leal-Taix\'e, Laura}, title = {The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11853-11863} }
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters-
[pdf]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Yuwei and Zhu, Jiannan and Jiang, Mengxin and Fu, Jie and Pang, Changsong and Wang, Peidong and Sankaran, Kris and Onabola, Olawale and Liu, Yimin and Liu, Dianbo and Bengio, Yoshua}, title = {FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10953-10962} }
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} }
Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yuxin and Zhang, Ziqi and Yuan, Chunfeng and Li, Bing and Deng, Ying and Hu, Weiming}, title = {Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13359-13368} }
VSAC: Efficient and Accurate Estimator for H and F-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ivashechkin_2021_ICCV, author = {Ivashechkin, Maksym and Barath, Daniel and Matas, Ji\v{r}{\'\i}}, title = {VSAC: Efficient and Accurate Estimator for H and F}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15243-15252} }
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} }
Universal-Prototype Enhancing for Few-Shot Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Aming and Han, Yahong and Zhu, Linchao and Yang, Yi}, title = {Universal-Prototype Enhancing for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9567-9576} }
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Ping and Chen, Yujin and Yang, Dong and Wu, Fangyin and Li, Qin and Xia, Qingpei and Tan, Yong}, title = {I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12929-12938} }
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} }
With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dwibedi_2021_ICCV, author = {Dwibedi, Debidatta and Aytar, Yusuf and Tompson, Jonathan and Sermanet, Pierre and Zisserman, Andrew}, title = {With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9588-9597} }
Explainable Person Re-Identification With Attribute-Guided Metric Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xiaodong and Liu, Xinchen and Liu, Wu and Zhang, Xiao-Ping and Zhang, Yongdong and Mei, Tao}, title = {Explainable Person Re-Identification With Attribute-Guided Metric Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11813-11822} }
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} }
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Xiheng and Wong, Yongkang and Wu, Xiaofei and Lu, Juwei and Kankanhalli, Mohan and Li, Xiangdong and Geng, Weidong}, title = {Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11270-11280} }
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} }
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Zeren and Yao, Yazhou and Wei, Xiu-Shen and Zhang, Yongshun and Shen, Fumin and Wu, Jianxin and Zhang, Jian and Shen, Heng Tao}, title = {Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10602-10611} }
Towards Interpretable Deep Networks for Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{You_2021_ICCV, author = {You, Zunzhi and Tsai, Yi-Hsuan and Chiu, Wei-Chen and Li, Guanbin}, title = {Towards Interpretable Deep Networks for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12879-12888} }
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} }
Geometric Granularity Aware Pixel-To-Mesh-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Yue and Ni, Bingbing and Liu, Jinxian and Rong, Dingyi and Qian, Ye and Zhang, Wenjun}, title = {Geometric Granularity Aware Pixel-To-Mesh}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13097-13106} }
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} }
NEAT: Neural Attention Fields for End-to-End Autonomous Driving-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chitta_2021_ICCV, author = {Chitta, Kashyap and Prakash, Aditya and Geiger, Andreas}, title = {NEAT: Neural Attention Fields for End-to-End Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15793-15803} }
Modulated Periodic Activations for Generalizable Local Functional Representations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mehta_2021_ICCV, author = {Mehta, Ishit and Gharbi, Micha\"el and Barnes, Connelly and Shechtman, Eli and Ramamoorthi, Ravi and Chandraker, Manmohan}, title = {Modulated Periodic Activations for Generalizable Local Functional Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14214-14223} }
Neural Architecture Search for Joint Human Parsing and Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Dan and Huang, Yuhang and Bao, Qian and Zhang, Junjie and Su, Chi and Liu, Wu}, title = {Neural Architecture Search for Joint Human Parsing and Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11385-11394} }
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} }
SemIE: Semantically-Aware Image Extrapolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khurana_2021_ICCV, author = {Khurana, Bholeshwar and Dash, Soumya Ranjan and Bhatia, Abhishek and Mahapatra, Aniruddha and Singh, Hrituraj and Kulkarni, Kuldeep}, title = {SemIE: Semantically-Aware Image Extrapolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14900-14909} }
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} }
Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zheng and Wang, Sihan and Sun, Yi and Ma, Xiaohong}, title = {Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11626-11634} }
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} }
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Patel_2021_ICCV, author = {Patel, Shivansh and Wani, Saim and Jain, Unnat and Schwing, Alexander G. and Lazebnik, Svetlana and Savva, Manolis and Chang, Angel X.}, title = {Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15953-15963} }
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} }
Diverse Image Style Transfer via Invertible Cross-Space Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Haibo and Zhao, Lei and Zhang, Huiming and Wang, Zhizhong and Zuo, Zhiwen and Li, Ailin and Xing, Wei and Lu, Dongming}, title = {Diverse Image Style Transfer via Invertible Cross-Space Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14880-14889} }
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Binghui and Yan, Zhaoyi and Li, Ke and Li, Pengyu and Wang, Biao and Zuo, Wangmeng and Zhang, Lei}, title = {Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16065-16075} }
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} }
Weakly Supervised Representation Learning With Coarse Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Yuanhong and Qian, Qi and Li, Hao and Jin, Rong and Hu, Juhua}, title = {Weakly Supervised Representation Learning With Coarse Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10593-10601} }
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Junheum and Lee, Chul and Kim, Chang-Su}, title = {Asymmetric Bilateral Motion Estimation for Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14539-14548} }
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2021_ICCV, author = {Shao, Ruizhi and Wu, Gaochang and Zhou, Yuemei and Fu, Ying and Fang, Lu and Liu, Yebin}, title = {LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14890-14899} }
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} }
HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Fan and Chen, Guang and Liu, Yinlong and Zhang, Lijun and Qu, Sanqing and Liu, Shu and Gu, Rongqi}, title = {HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16014-16023} }
A Latent Transformer for Disentangled Face Editing in Images and Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Xu and Newson, Alasdair and Gousseau, Yann and Hellier, Pierre}, title = {A Latent Transformer for Disentangled Face Editing in Images and Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13789-13798} }
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} }
Flow-Guided Video Inpainting With Scene Templates-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lao_2021_ICCV, author = {Lao, Dong and Zhu, Peihao and Wonka, Peter and Sundaramoorthi, Ganesh}, title = {Flow-Guided Video Inpainting With Scene Templates}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14599-14608} }
Long Short View Feature Decomposition via Contrastive Video Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Behrmann_2021_ICCV, author = {Behrmann, Nadine and Fayyaz, Mohsen and Gall, Juergen and Noroozi, Mehdi}, title = {Long Short View Feature Decomposition via Contrastive Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9244-9253} }
TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Jianwei and Bisk, Yonatan and Gao, Jianfeng}, title = {TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11562-11572} }
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhenyi and Duan, Tiehang and Fang, Le and Suo, Qiuling and Gao, Mingchen}, title = {Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8947-8957} }
Ranking Models in Unlabeled New Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Xiaoxiao and Hou, Yunzhong and Deng, Weijian and Li, Hongdong and Zheng, Liang}, title = {Ranking Models in Unlabeled New Environments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11761-11771} }
Adaptive Confidence Thresholding for Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2021_ICCV, author = {Choi, Hyesong and Lee, Hunsang and Kim, Sunkyung and Kim, Sunok and Kim, Seungryong and Sohn, Kwanghoon and Min, Dongbo}, title = {Adaptive Confidence Thresholding for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12808-12818} }
Embedding Novel Views in a Single JPEG Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Yue and Meng, Guotao and Chen, Qifeng}, title = {Embedding Novel Views in a Single JPEG Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14519-14527} }
Channel Augmented Joint Learning for Visible-Infrared Recognition-
[pdf]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Mang and Ruan, Weijian and Du, Bo and Shou, Mike Zheng}, title = {Channel Augmented Joint Learning for Visible-Infrared Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13567-13576} }
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} }
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Ailing and Sun, Xiao and Yang, Lei and Zhao, Nanxuan and Liu, Minhao and Xu, Qiang}, title = {Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11436-11445} }
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} }
Learning Anchored Unsigned Distance Functions With Gradient Direction Alignment for Single-View Garment Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Fang and Wang, Wenhao and Liao, Shengcai and Shao, Ling}, title = {Learning Anchored Unsigned Distance Functions With Gradient Direction Alignment for Single-View Garment Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12674-12683} }
TeachText: CrossModal Generalized Distillation for Text-Video Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Croitoru_2021_ICCV, author = {Croitoru, Ioana and Bogolin, Simion-Vlad and Leordeanu, Marius and Jin, Hailin and Zisserman, Andrew and Albanie, Samuel and Liu, Yang}, title = {TeachText: CrossModal Generalized Distillation for Text-Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11583-11593} }
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} }
OVANet: One-vs-All Network for Universal Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saito_2021_ICCV, author = {Saito, Kuniaki and Saenko, Kate}, title = {OVANet: One-vs-All Network for Universal Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9000-9009} }
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} }
Planar Surface Reconstruction From Sparse Views-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2021_ICCV, author = {Jin, Linyi and Qian, Shengyi and Owens, Andrew and Fouhey, David F.}, title = {Planar Surface Reconstruction From Sparse Views}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12991-13000} }
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} }
VidTr: Video Transformer Without Convolutions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yanyi and Li, Xinyu and Liu, Chunhui and Shuai, Bing and Zhu, Yi and Brattoli, Biagio and Chen, Hao and Marsic, Ivan and Tighe, Joseph}, title = {VidTr: Video Transformer Without Convolutions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13577-13587} }
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} }
Online Knowledge Distillation for Efficient Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zheng and Ye, Jingwen and Song, Mingli and Huang, Ying and Pan, Zhigeng}, title = {Online Knowledge Distillation for Efficient Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11740-11750} }
HAA500: Human-Centric Atomic Action Dataset With Curated Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chung_2021_ICCV, author = {Chung, Jihoon and Wuu, Cheng-hsin and Yang, Hsuan-ru and Tai, Yu-Wing and Tang, Chi-Keung}, title = {HAA500: Human-Centric Atomic Action Dataset With Curated Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13465-13474} }
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} }
From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mangalam_2021_ICCV, author = {Mangalam, Karttikeya and An, Yang and Girase, Harshayu and Malik, Jitendra}, title = {From Goals, Waypoints \& Paths to Long Term Human Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15233-15242} }
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} }
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Haoyu and Tang, Hao and Shi, Henglin and Peng, Wei and Sebe, Nicu and Zhao, Guoying}, title = {Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8630-8639} }
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} }
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Zhenbo and Wang, Junjie and Xu, Jingwei and Ni, Bingbing and Zhao, Chenglong and Wang, Minsi and Zhang, Wenjun}, title = {Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8619-8629} }
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} }
Membership Inference Attacks Are Easier on Difficult Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shafran_2021_ICCV, author = {Shafran, Avital and Peleg, Shmuel and Hoshen, Yedid}, title = {Membership Inference Attacks Are Easier on Difficult Problems}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14820-14829} }
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Joel and Batra, Dhruv and Das, Abhishek and Wijmans, Erik}, title = {Auxiliary Tasks and Exploration Enable ObjectGoal Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16117-16126} }
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} }
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jafarzadeh_2021_ICCV, author = {Jafarzadeh, Ara and Antequera, Manuel L\'opez and Gargallo, Pau and Kuang, Yubin and Toft, Carl and Kahl, Fredrik and Sattler, Torsten}, title = {CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9845-9855} }
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} }
Concept Generalization in Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sariyildiz_2021_ICCV, author = {Sariyildiz, Mert Bulent and Kalantidis, Yannis and Larlus, Diane and Alahari, Karteek}, title = {Concept Generalization in Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9629-9639} }
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} }
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gadre_2021_ICCV, author = {Gadre, Samir Yitzhak and Ehsani, Kiana and Song, Shuran}, title = {Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15752-15761} }
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} }
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hendrycks_2021_ICCV, author = {Hendrycks, Dan and Basart, Steven and Mu, Norman and Kadavath, Saurav and Wang, Frank and Dorundo, Evan and Desai, Rahul and Zhu, Tyler and Parajuli, Samyak and Guo, Mike and Song, Dawn and Steinhardt, Jacob and Gilmer, Justin}, title = {The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8340-8349} }
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} }
Crowd Counting With Partial Annotations in an Image-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Yanyu and Zhong, Ziming and Lian, Dongze and Li, Jing and Li, Zhengxin and Xu, Xinxing and Gao, Shenghua}, title = {Crowd Counting With Partial Annotations in an Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15570-15579} }
Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Zike and Tian, Yuxin and Shi, Xuesong and Guo, Ping and Wang, Peng and Zha, Hongbin}, title = {Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15782-15792} }
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} }
Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yaobin and Deng, Weihong and Zhong, Yaoyao and Hu, Jiani and Li, Xian and Zhao, Dongyue and Wen, Dongchao}, title = {Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15065-15075} }
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Ronghan and Cong, Yang and Dong, Jiahua}, title = {Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8361-8370} }
Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Pilhyeon and Byun, Hyeran}, title = {Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13648-13657} }
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} }
Learning Indoor Inverse Rendering With 3D Spatially-Varying Lighting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zian and Philion, Jonah and Fidler, Sanja and Kautz, Jan}, title = {Learning Indoor Inverse Rendering With 3D Spatially-Varying Lighting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12538-12547} }
DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Linardos_2021_ICCV, author = {Linardos, Akis and K\"ummerer, Matthias and Press, Ori and Bethge, Matthias}, title = {DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12919-12928} }
Learning To Drive From a World on Rails-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Dian and Koltun, Vladlen and Kr\"ahenb\"uhl, Philipp}, title = {Learning To Drive From a World on Rails}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15590-15599} }
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Sida and Dong, Junting and Wang, Qianqian and Zhang, Shangzhan and Shuai, Qing and Zhou, Xiaowei and Bao, Hujun}, title = {Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14314-14323} }
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} }
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yuxi and Peng, Junran and Zhang, ZhaoXiang}, title = {Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9092-9101} }
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} }
A General Recurrent Tracking Framework Without Real Data-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Shuai and Sheng, Hao and Zhang, Yang and Wu, Yubin and Xiong, Zhang}, title = {A General Recurrent Tracking Framework Without Real Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13219-13228} }
Knowledge Mining and Transferring for Domain Adaptive Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Tian_2021_ICCV, author = {Tian, Kun and Zhang, Chenghao and Wang, Ying and Xiang, Shiming and Pan, Chunhong}, title = {Knowledge Mining and Transferring for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9133-9142} }
Cloud Transformers: A Universal Approach to Point Cloud Processing Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mazur_2021_ICCV, author = {Mazur, Kirill and Lempitsky, Victor}, title = {Cloud Transformers: A Universal Approach to Point Cloud Processing Tasks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10715-10724} }
TravelNet: Self-Supervised Physically Plausible Hand Motion Learning From Monocular Color Images-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Zimeng and Zhao, Xi and Wang, Yangang}, title = {TravelNet: Self-Supervised Physically Plausible Hand Motion Learning From Monocular Color Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11666-11676} }
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2021_ICCV, author = {Bhunia, Ayan Kumar and Sain, Aneeshan and Kumar, Amandeep and Ghose, Shuvozit and Chowdhury, Pinaki Nath and Song, Yi-Zhe}, title = {Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14940-14949} }
Video Self-Stitching Graph Network for Temporal Action Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Chen and Thabet, Ali K. and Ghanem, Bernard}, title = {Video Self-Stitching Graph Network for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13658-13667} }
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} }
Gravity-Aware Monocular 3D Human-Object Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dabral_2021_ICCV, author = {Dabral, Rishabh and Shimada, Soshi and Jain, Arjun and Theobalt, Christian and Golyanik, Vladislav}, title = {Gravity-Aware Monocular 3D Human-Object Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12365-12374} }
Exploring Relational Context for Multi-Task Dense Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Bruggemann_2021_ICCV, author = {Br\"uggemann, David and Kanakis, Menelaos and Obukhov, Anton and Georgoulis, Stamatios and Van Gool, Luc}, title = {Exploring Relational Context for Multi-Task Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15869-15878} }
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} }
UltraPose: Synthesizing Dense Pose With 1 Billion Points by Human-Body Decoupling 3D Model-
[pdf]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Haonan and Chen, Jiaqi and Zhang, Xujie and Zhang, Shengkai and Jiao, Nianhong and Liang, Xiaodan and Zheng, Tianxiang}, title = {UltraPose: Synthesizing Dense Pose With 1 Billion Points by Human-Body Decoupling 3D Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10891-10900} }
Hand Image Understanding via Deep Multi-Task Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Xiong and Huang, Hongsheng and Tan, Jianchao and Xu, Hongmin and Yang, Cheng and Peng, Guozhu and Wang, Lei and Liu, Ji}, title = {Hand Image Understanding via Deep Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11281-11292} }
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} }
On the Importance of Distractors for Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Das_2021_ICCV, author = {Das, Rajshekhar and Wang, Yu-Xiong and Moura, Jos\'e M. F.}, title = {On the Importance of Distractors for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9030-9040} }
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} }
Deep Halftoning With Reversible Binary Pattern-
[pdf]
[supp]
[bibtex]@InProceedings{Xia_2021_ICCV, author = {Xia, Menghan and Hu, Wenbo and Liu, Xueting and Wong, Tien-Tsin}, title = {Deep Halftoning With Reversible Binary Pattern}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14000-14009} }
Robustness via Cross-Domain Ensembles-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yeo_2021_ICCV, author = {Yeo, Teresa and Kar, O\u{g}uzhan Fatih and Zamir, Amir}, title = {Robustness via Cross-Domain Ensembles}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12189-12199} }
Topic Scene Graph Generation by Attention Distillation From Caption-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Wenbin and Wang, Ruiping and Chen, Xilin}, title = {Topic Scene Graph Generation by Attention Distillation From Caption}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15900-15910} }
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} }
Contrastive Learning for Label Efficient Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Xiangyun and Vemulapalli, Raviteja and Mansfield, Philip Andrew and Gong, Boqing and Green, Bradley and Shapira, Lior and Wu, Ying}, title = {Contrastive Learning for Label Efficient Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10623-10633} }
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} }
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Truong_2021_ICCV, author = {Truong, Thanh-Dat and Duong, Chi Nhan and Le, Ngan and Phung, Son Lam and Rainwater, Chase and Luu, Khoa}, title = {BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8548-8557} }
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} }
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar-
[pdf]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Yuwei and Xu, Hu and Liu, Yimin}, title = {Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15263-15272} }
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} }
GroupFormer: Group Activity Recognition With Clustered Spatial-Temporal Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Shuaicheng and Cao, Qianggang and Liu, Lingbo and Yang, Kunlin and Liu, Shinan and Hou, Jun and Yi, Shuai}, title = {GroupFormer: Group Activity Recognition With Clustered Spatial-Temporal Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13668-13677} }
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yahao and Deng, Jinhong and Gao, Xinchen and Li, Wen and Duan, Lixin}, title = {BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8801-8811} }
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Adeli_2021_ICCV, author = {Adeli, Vida and Ehsanpour, Mahsa and Reid, Ian and Niebles, Juan Carlos and Savarese, Silvio and Adeli, Ehsan and Rezatofighi, Hamid}, title = {TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13390-13400} }
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} }
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sheynin_2021_ICCV, author = {Sheynin, Shelly and Benaim, Sagie and Wolf, Lior}, title = {A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8495-8504} }
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} }
Learning Specialized Activation Functions With the Piecewise Linear Unit-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yucong and Zhu, Zezhou and Zhong, Zhao}, title = {Learning Specialized Activation Functions With the Piecewise Linear Unit}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12095-12104} }
Viewpoint Invariant Dense Matching for Visual Geolocalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Berton_2021_ICCV, author = {Berton, Gabriele and Masone, Carlo and Paolicelli, Valerio and Caputo, Barbara}, title = {Viewpoint Invariant Dense Matching for Visual Geolocalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12169-12178} }
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} }
Video Autoencoder: Self-Supervised Disentanglement of Static 3D Structure and Motion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lai_2021_ICCV, author = {Lai, Zihang and Liu, Sifei and Efros, Alexei A. and Wang, Xiaolong}, title = {Video Autoencoder: Self-Supervised Disentanglement of Static 3D Structure and Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9730-9740} }
Adaptive Convolutions With Per-Pixel Dynamic Filter Atom-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ze and Miao, Zichen and Hu, Jun and Qiu, Qiang}, title = {Adaptive Convolutions With Per-Pixel Dynamic Filter Atom}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12302-12311} }
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2021_ICCV, author = {Hong, James and Fisher, Matthew and Gharbi, Micha\"el and Fatahalian, Kayvon}, title = {Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9254-9263} }
Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Tianjiao and Ke, Qiuhong and Rahmani, Hossein and Ho, Rui En and Ding, Henghui and Liu, Jun}, title = {Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13434-13443} }
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poms_2021_ICCV, author = {Poms, Fait and Sarukkai, Vishnu and Mullapudi, Ravi Teja and Sohoni, Nimit S. and Mark, William R. and Ramanan, Deva and Fatahalian, Kayvon}, title = {Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10705-10714} }
Deep Matching Prior: Test-Time Optimization for Dense Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2021_ICCV, author = {Hong, Sunghwan and Kim, Seungryong}, title = {Deep Matching Prior: Test-Time Optimization for Dense Correspondence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9907-9917} }
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} }
End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Tao and Xu, Ning and Chen, Kean and Lin, Weiyao}, title = {End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10797-10806} }
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} }
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data-
[pdf]
[supp]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Cheng and Learned-Miller, Erik and Sheldon, Daniel and Gallego, Guillermo and Bideau, Pia}, title = {The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13495-13504} }
Learning Self-Similarity in Space and Time As Generalized Motion for Video Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Kwon_2021_ICCV, author = {Kwon, Heeseung and Kim, Manjin and Kwak, Suha and Cho, Minsu}, title = {Learning Self-Similarity in Space and Time As Generalized Motion for Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13065-13075} }
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} }
CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction-
[pdf]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Yu and Lin, Zhe and Lu, Huchuan and Patel, Vishal M.}, title = {CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14164-14173} }
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Alexander and Casas, Sergio and Sadat, Abbas and Liao, Renjie and Urtasun, Raquel}, title = {LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16107-16116} }
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} }
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Qinqin and Zheng, Xiawu and Cao, Liujuan and Zhong, Bineng and Xi, Teng and Zhang, Gang and Ding, Errui and Xu, Mingliang and Ji, Rongrong}, title = {EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11986-11995} }
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} }
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ganeshan_2021_ICCV, author = {Ganeshan, Aditya and Vallet, Alexis and Kudo, Yasunori and Maeda, Shin-ichi and Kerola, Tommi and Ambrus, Rares and Park, Dennis and Gaidon, Adrien}, title = {Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15499-15509} }
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2021_ICCV, author = {Choi, Jooyoung and Kim, Sungwon and Jeong, Yonghyun and Gwon, Youngjune and Yoon, Sungroh}, title = {ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14367-14376} }
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} }
Universal Representation Learning From Multiple Domains for Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Wei-Hong and Liu, Xialei and Bilen, Hakan}, title = {Universal Representation Learning From Multiple Domains for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9526-9535} }
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Kai and Geng, Jie and Jiang, Wen and Deng, Xinyang and Xu, Zhe}, title = {Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8671-8680} }
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} }
Refining Activation Downsampling With SoftPool-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stergiou_2021_ICCV, author = {Stergiou, Alexandros and Poppe, Ronald and Kalliatakis, Grigorios}, title = {Refining Activation Downsampling With SoftPool}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10357-10366} }
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing-
[pdf]
[bibtex]@InProceedings{Tiwari_2021_ICCV, author = {Tiwari, Garvita and Sarafianos, Nikolaos and Tung, Tony and Pons-Moll, Gerard}, title = {Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11708-11718} }
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} }
Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Jhoo_2021_ICCV, author = {Jhoo, Won Young and Heo, Jae-Pil}, title = {Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8896-8905} }
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} }
Contact-Aware Retargeting of Skinned Motion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Villegas_2021_ICCV, author = {Villegas, Ruben and Ceylan, Duygu and Hertzmann, Aaron and Yang, Jimei and Saito, Jun}, title = {Contact-Aware Retargeting of Skinned Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9720-9729} }
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Chaoda and Yan, Xu and Gao, Jiantao and Zhao, Weibing and Zhang, Wei and Li, Zhen and Cui, Shuguang}, title = {Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13199-13208} }
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} }
Field-Guide-Inspired Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mall_2021_ICCV, author = {Mall, Utkarsh and Hariharan, Bharath and Bala, Kavita}, title = {Field-Guide-Inspired Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9546-9555} }
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} }
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Massiceti_2021_ICCV, author = {Massiceti, Daniela and Zintgraf, Luisa and Bronskill, John and Theodorou, Lida and Harris, Matthew Tobias and Cutrell, Edward and Morrison, Cecily and Hofmann, Katja and Stumpf, Simone}, title = {ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10818-10828} }
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} }
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Tianyi and Liu, Yi and Zhang, Yunfei and Wu, Si and Xu, Yong and Liangbing, Feng and Wong, Hau San}, title = {Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9264-9273} }
Partner-Assisted Learning for Few-Shot Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Jiawei and Xie, Hanchen and Han, Guangxing and Chang, Shih-Fu and Galstyan, Aram and Abd-Almageed, Wael}, title = {Partner-Assisted Learning for Few-Shot Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10573-10582} }
Contrastive Coding for Active Learning Under Class Distribution Mismatch-
[pdf]
[supp]
[bibtex]@InProceedings{Du_2021_ICCV, author = {Du, Pan and Zhao, Suyun and Chen, Hui and Chai, Shuwen and Chen, Hong and Li, Cuiping}, title = {Contrastive Coding for Active Learning Under Class Distribution Mismatch}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8927-8936} }
Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Yuecong and Yang, Jianfei and Cao, Haozhi and Chen, Zhenghua and Li, Qi and Mao, Kezhi}, title = {Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9332-9341} }
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} }
Learning Compatible Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Qiang and Zhang, Chixiang and Xu, Xiaoqiang and Zhou, Feng}, title = {Learning Compatible Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9939-9948} }
Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data-
[pdf]
[supp]
[bibtex]@InProceedings{Manas_2021_ICCV, author = {Ma\~nas, Oscar and Lacoste, Alexandre and Gir\'o-i-Nieto, Xavier and Vazquez, David and Rodr{\'\i}guez, Pau}, title = {Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9414-9423} }
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} }
Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Haiping and Wang, Xiaolong}, title = {Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10149-10159} }
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} }
Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rezaeianaran_2021_ICCV, author = {Rezaeianaran, Farzaneh and Shetty, Rakshith and Aljundi, Rahaf and Reino, Daniel Olmeda and Zhang, Shanshan and Schiele, Bernt}, title = {Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9204-9213} }
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} }
Ensemble Attention Distillation for Privacy-Preserving Federated Learning-
[pdf]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Xuan and Sharma, Abhishek and Karanam, Srikrishna and Wu, Ziyan and Chen, Terrence and Doermann, David and Innanje, Arun}, title = {Ensemble Attention Distillation for Privacy-Preserving Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15076-15086} }
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} }
GAN Inversion for Out-of-Range Images With Geometric Transformations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2021_ICCV, author = {Kang, Kyoungkook and Kim, Seongtae and Cho, Sunghyun}, title = {GAN Inversion for Out-of-Range Images With Geometric Transformations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13941-13949} }
Scaling Up Instance Annotation via Label Propagation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Papadopoulos_2021_ICCV, author = {Papadopoulos, Dim P. and Weber, Ethan and Torralba, Antonio}, title = {Scaling Up Instance Annotation via Label Propagation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15364-15373} }
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} }
FastNeRF: High-Fidelity Neural Rendering at 200FPS-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Garbin_2021_ICCV, author = {Garbin, Stephan J. and Kowalski, Marek and Johnson, Matthew and Shotton, Jamie and Valentin, Julien}, title = {FastNeRF: High-Fidelity Neural Rendering at 200FPS}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14346-14355} }
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} }
Semantics Disentangling for Generalized Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zhi and Luo, Yadan and Qiu, Ruihong and Wang, Sen and Huang, Zi and Li, Jingjing and Zhang, Zheng}, title = {Semantics Disentangling for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8712-8720} }
Space-Time-Separable Graph Convolutional Network for Pose Forecasting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sofianos_2021_ICCV, author = {Sofianos, Theodoros and Sampieri, Alessio and Franco, Luca and Galasso, Fabio}, title = {Space-Time-Separable Graph Convolutional Network for Pose Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11209-11218} }
3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics-
[pdf]
[supp]
[bibtex]@InProceedings{Fu_2021_ICCV, author = {Fu, Huan and Cai, Bowen and Gao, Lin and Zhang, Ling-Xiao and Wang, Jiaming and Li, Cao and Zeng, Qixun and Sun, Chengyue and Jia, Rongfei and Zhao, Binqiang and Zhang, Hao}, title = {3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10933-10942} }
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baik_2021_ICCV, author = {Baik, Sungyong and Choi, Janghoon and Kim, Heewon and Cho, Dohee and Min, Jaesik and Lee, Kyoung Mu}, title = {Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9465-9474} }
Learning To Track Objects From Unlabeled Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Jilai and Ma, Chao and Peng, Houwen and Yang, Xiaokang}, title = {Learning To Track Objects From Unlabeled Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13546-13555} }
(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} }
H2O: A Benchmark for Visual Human-Human Object Handover Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Ruolin and Xu, Wenqiang and Xue, Zhendong and Tang, Tutian and Wang, Yanfeng and Lu, Cewu}, title = {H2O: A Benchmark for Visual Human-Human Object Handover Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15762-15771} }
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} }
Hierarchical Object-to-Zone Graph for Object Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Sixian and Song, Xinhang and Bai, Yubing and Li, Weijie and Chu, Yakui and Jiang, Shuqiang}, title = {Hierarchical Object-to-Zone Graph for Object Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15130-15140} }
Information-Theoretic Regularization for Multi-Source Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Geon Yeong and Lee, Sang Wan}, title = {Information-Theoretic Regularization for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9214-9223} }
Beyond Road Extraction: A Dataset for Map Update Using Aerial Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bastani_2021_ICCV, author = {Bastani, Favyen and Madden, Samuel}, title = {Beyond Road Extraction: A Dataset for Map Update Using Aerial Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11905-11914} }
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} }
Physics-Based Human Motion Estimation and Synthesis From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Kevin and Wang, Tingwu and Iqbal, Umar and Guo, Yunrong and Fidler, Sanja and Shkurti, Florian}, title = {Physics-Based Human Motion Estimation and Synthesis From Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11532-11541} }
Hierarchical Memory Matching Network for Video Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seong_2021_ICCV, author = {Seong, Hongje and Oh, Seoung Wug and Lee, Joon-Young and Lee, Seongwon and Lee, Suhyeon and Kim, Euntai}, title = {Hierarchical Memory Matching Network for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12889-12898} }
Pathdreamer: A World Model for Indoor Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Koh_2021_ICCV, author = {Koh, Jing Yu and Lee, Honglak and Yang, Yinfei and Baldridge, Jason and Anderson, Peter}, title = {Pathdreamer: A World Model for Indoor Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14738-14748} }
Saliency-Associated Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Zikun and Pei, Wenjie and Li, Xin and Wang, Hongpeng and Zheng, Feng and He, Zhenyu}, title = {Saliency-Associated Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9866-9875} }
Wanderlust: Online Continual Object Detection in the Real World-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Jianren and Wang, Xin and Shang-Guan, Yue and Gupta, Abhinav}, title = {Wanderlust: Online Continual Object Detection in the Real World}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10829-10838} }
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moons_2021_ICCV, author = {Moons, Bert and Noorzad, Parham and Skliar, Andrii and Mariani, Giovanni and Mehta, Dushyant and Lott, Chris and Blankevoort, Tijmen}, title = {Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12229-12238} }
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} }
Unifying Nonlocal Blocks for Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Lei and She, Qi and Li, Duo and Lu, Yanye and Kang, Xuejing and Hu, Jie and Wang, Changhu}, title = {Unifying Nonlocal Blocks for Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12292-12301} }
Learning Realistic Human Reposing Using Cyclic Self-Supervision With 3D Shape, Pose, and Appearance Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sanyal_2021_ICCV, author = {Sanyal, Soubhik and Vorobiov, Alex and Bolkart, Timo and Loper, Matthew and Mohler, Betty and Davis, Larry S. and Romero, Javier and Black, Michael J.}, title = {Learning Realistic Human Reposing Using Cyclic Self-Supervision With 3D Shape, Pose, and Appearance Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11138-11147} }
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baee_2021_ICCV, author = {Baee, Sonia and Pakdamanian, Erfan and Kim, Inki and Feng, Lu and Ordonez, Vicente and Barnes, Laura}, title = {MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13178-13188} }
Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Zhihe and He, Sen and Zhu, Xiatian and Zhang, Li and Song, Yi-Zhe and Xiang, Tao}, title = {Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8741-8750} }
Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Banijamali_2021_ICCV, author = {Banijamali, Ershad and Rohani, Mohsen and Amirloo, Elmira and Luo, Jun and Poupart, Pascal}, title = {Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15621-15630} }
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} }
Domain-Aware Universal Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2021_ICCV, author = {Hong, Kibeom and Jeon, Seogkyu and Yang, Huan and Fu, Jianlong and Byun, Hyeran}, title = {Domain-Aware Universal Style Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14609-14617} }
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} }
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Yi and Tang, Shixiang and Teng, Guolong and Ge, Yixiao and Liu, Kaijian and Qin, Jing and Qi, Donglian and Chen, Dapeng}, title = {Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8371-8381} }
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} }
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jie and Ji, Rongrong and Chen, Peixian and Zhang, Baochang and Hong, Xiaopeng and Zhang, Ruixin and Li, Shaoxin and Li, Jilin and Huang, Feiyue and Wu, Yongjian}, title = {Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16168-16177} }
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} }
Modulated Graph Convolutional Network for 3D Human Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zou_2021_ICCV, author = {Zou, Zhiming and Tang, Wei}, title = {Modulated Graph Convolutional Network for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11477-11487} }
Learning Self-Consistency for Deepfake Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Tianchen and Xu, Xiang and Xu, Mingze and Ding, Hui and Xiong, Yuanjun and Xia, Wei}, title = {Learning Self-Consistency for Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15023-15033} }
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} }
Learning Generative Models of Textured 3D Meshes From Real-World Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pavllo_2021_ICCV, author = {Pavllo, Dario and Kohler, Jonas and Hofmann, Thomas and Lucchi, Aurelien}, title = {Learning Generative Models of Textured 3D Meshes From Real-World Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13879-13889} }
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} }
Warp Consistency for Unsupervised Learning of Dense Correspondences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Truong_2021_ICCV, author = {Truong, Prune and Danelljan, Martin and Yu, Fisher and Van Gool, Luc}, title = {Warp Consistency for Unsupervised Learning of Dense Correspondences}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10346-10356} }
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} }
Toward Spatially Unbiased Generative Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2021_ICCV, author = {Choi, Jooyoung and Lee, Jungbeom and Jeong, Yonghyun and Yoon, Sungroh}, title = {Toward Spatially Unbiased Generative Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14253-14262} }
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} }
Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xueping and Li, Shasha and Liu, Min and Wang, Yaonan and Roy-Chowdhury, Amit K.}, title = {Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15097-15107} }
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} }
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Hou_2021_ICCV, author = {Hou, Jinlei and Zhang, Yingying and Zhong, Qiaoyong and Xie, Di and Pu, Shiliang and Zhou, Hong}, title = {Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8791-8800} }
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} }
SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Daehee and Yoo, Youngjun and Park, Seunghyun and Kim, Jinkyu and Lee, Jaekoo}, title = {SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9619-9628} }
Towards the Unseen: Iterative Text Recognition by Distilling From Errors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2021_ICCV, author = {Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Sain, Aneeshan and Song, Yi-Zhe}, title = {Towards the Unseen: Iterative Text Recognition by Distilling From Errors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14950-14959} }
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} }
Rethinking Spatial Dimensions of Vision Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Heo_2021_ICCV, author = {Heo, Byeongho and Yun, Sangdoo and Han, Dongyoon and Chun, Sanghyuk and Choe, Junsuk and Oh, Seong Joon}, title = {Rethinking Spatial Dimensions of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11936-11945} }
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} }
VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yujun and Zhu, Lei and Feng, Wei and Fu, Huazhu and Wang, Mingqian and Li, Qingxia and Li, Cheng and Wang, Song}, title = {VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15681-15690} }
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Taosha and Alwala, Kalyan Vasudev and Xiang, Donglai and Xu, Weipeng and Murphey, Todd and Mukadam, Mustafa}, title = {Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11457-11466} }
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} }
ME-PCN: Point Completion Conditioned on Mask Emptiness-
[pdf]
[supp]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Bingchen and Nie, Yinyu and Lin, Yiqun and Han, Xiaoguang and Yu, Yizhou}, title = {ME-PCN: Point Completion Conditioned on Mask Emptiness}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12488-12497} }
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations-
[pdf]
[supp]
[bibtex]@InProceedings{Dittadi_2021_ICCV, author = {Dittadi, Andrea and Dziadzio, Sebastian and Cosker, Darren and Lundell, Ben and Cashman, Thomas J. and Shotton, Jamie}, title = {Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11687-11697} }
LOKI: Long Term and Key Intentions for Trajectory Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Girase_2021_ICCV, author = {Girase, Harshayu and Gang, Haiming and Malla, Srikanth and Li, Jiachen and Kanehara, Akira and Mangalam, Karttikeya and Choi, Chiho}, title = {LOKI: Long Term and Key Intentions for Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9803-9812} }
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Jianhua and Li, Yuxuan and Fang, Hao-Shu and Lu, Cewu}, title = {Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13250-13259} }
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} }
SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jianyun and Tang, Xin and Zhu, Yushi and Sun, Jie and Pu, Shiliang}, title = {SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10468-10477} }
Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Weilun and Zhou, Wengang and Bao, Jianmin and Chen, Dong and Li, Houqiang}, title = {Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14020-14029} }
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saporta_2021_ICCV, author = {Saporta, Antoine and Vu, Tuan-Hung and Cord, Matthieu and P\'erez, Patrick}, title = {Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9072-9081} }
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} }
Context-Aware Scene Graph Generation With Seq2Seq Transformers-
[pdf]
[bibtex]@InProceedings{Lu_2021_ICCV, author = {Lu, Yichao and Rai, Himanshu and Chang, Jason and Knyazev, Boris and Yu, Guangwei and Shekhar, Shashank and Taylor, Graham W. and Volkovs, Maksims}, title = {Context-Aware Scene Graph Generation With Seq2Seq Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15931-15941} }
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2021_ICCV, author = {Zeng, Yi and Park, Won and Mao, Z. Morley and Jia, Ruoxi}, title = {Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16473-16481} }
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} }
Self-Supervised 3D Face Reconstruction via Conditional Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wen_2021_ICCV, author = {Wen, Yandong and Liu, Weiyang and Raj, Bhiksha and Singh, Rita}, title = {Self-Supervised 3D Face Reconstruction via Conditional Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13289-13298} }
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} }
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Zeyu and Bai, Xuyang and Shang, Jiaxiang and Zhang, Runze and Dong, Jiayu and Wang, Xin and Sun, Guangyuan and Fu, Hongbo and Tai, Chiew-Lan}, title = {VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15488-15498} }
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} }
Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Lina and Song, Xibin and Wang, Mengmeng and Liu, Yong and Zhang, Liangjun}, title = {Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12737-12746} }
An Empirical Study of Training Self-Supervised Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xinlei and Xie, Saining and He, Kaiming}, title = {An Empirical Study of Training Self-Supervised Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9640-9649} }
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} }
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Gui_2021_ICCV, author = {Gui, Liangke and Bardes, Adrien and Salakhutdinov, Ruslan and Hauptmann, Alexander and Hebert, Martial and Wang, Yu-Xiong}, title = {Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8701-8711} }
Multiresolution Deep Implicit Functions for 3D Shape Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zhang and Zhang, Yinda and Genova, Kyle and Fanello, Sean and Bouaziz, Sofien and H\"ane, Christian and Du, Ruofei and Keskin, Cem and Funkhouser, Thomas and Tang, Danhang}, title = {Multiresolution Deep Implicit Functions for 3D Shape Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13087-13096} }
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} }
Discriminative Region-Based Multi-Label Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Narayan_2021_ICCV, author = {Narayan, Sanath and Gupta, Akshita and Khan, Salman and Khan, Fahad Shahbaz and Shao, Ling and Shah, Mubarak}, title = {Discriminative Region-Based Multi-Label Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8731-8740} }
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} }
Personalized Trajectory Prediction via Distribution Discrimination-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Guangyi and Li, Junlong and Zhou, Nuoxing and Ren, Liangliang and Lu, Jiwen}, title = {Personalized Trajectory Prediction via Distribution Discrimination}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15580-15589} }
GridToPix: Training Embodied Agents With Minimal Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2021_ICCV, author = {Jain, Unnat and Liu, Iou-Jen and Lazebnik, Svetlana and Kembhavi, Aniruddha and Weihs, Luca and Schwing, Alexander G.}, title = {GridToPix: Training Embodied Agents With Minimal Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15141-15151} }
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} }
HiFT: Hierarchical Feature Transformer for Aerial Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Ziang and Fu, Changhong and Ye, Junjie and Li, Bowen and Li, Yiming}, title = {HiFT: Hierarchical Feature Transformer for Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15457-15466} }
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} }
Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing-
[pdf]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Henghui and Zhang, Hui and Liu, Jun and Li, Jiaxin and Feng, Zijian and Jiang, Xudong}, title = {Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15848-15858} }
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} }
Consistency-Aware Graph Network for Human Interaction Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Zhenhua and Meng, Jiajun and Guo, Dongyan and Zhang, Jianhua and Shi, Javen Qinfeng and Chen, Shengyong}, title = {Consistency-Aware Graph Network for Human Interaction Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13369-13378} }
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} }
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Aiyu and McKee, Daniel and Lazebnik, Svetlana}, title = {Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14638-14647} }
Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yeh_2021_ICCV, author = {Yeh, Chin-Yuan and Chen, Hsi-Wen and Shuai, Hong-Han and Yang, De-Nian and Chen, Ming-Syan}, title = {Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16188-16197} }
Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Xiaohan and Zhao, Yang and Gao, Yongsheng and Yuan, Xiaohui and Xiong, Shengwu}, title = {Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10285-10295} }
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} }
Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yingquan and Zhang, Pingping and Gao, Shang and Geng, Xia and Lu, Hu and Wang, Dong}, title = {Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12026-12035} }
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} }
CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Weng_2021_ICCV, author = {Weng, Yijia and Wang, He and Zhou, Qiang and Qin, Yuzhe and Duan, Yueqi and Fan, Qingnan and Chen, Baoquan and Su, Hao and Guibas, Leonidas J.}, title = {CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13209-13218} }
X-World: Accessibility, Vision, and Autonomy Meet-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Jimuyang and Zheng, Minglan and Boyd, Matthew and Ohn-Bar, Eshed}, title = {X-World: Accessibility, Vision, and Autonomy Meet}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9762-9771} }
Target Adaptive Context Aggregation for Video Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Teng_2021_ICCV, author = {Teng, Yao and Wang, Limin and Li, Zhifeng and Wu, Gangshan}, title = {Target Adaptive Context Aggregation for Video Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13688-13697} }
Learnable Boundary Guided Adversarial Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2021_ICCV, author = {Cui, Jiequan and Liu, Shu and Wang, Liwei and Jia, Jiaya}, title = {Learnable Boundary Guided Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15721-15730} }
Memory-Augmented Dynamic Neural Relational Inference-
[pdf]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Dong and Zhang, Frederic Z. and Shi, Javen Qinfeng and van den Hengel, Anton}, title = {Memory-Augmented Dynamic Neural Relational Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11843-11852} }
Physics-Based Differentiable Depth Sensor Simulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Planche_2021_ICCV, author = {Planche, Benjamin and Singh, Rajat Vikram}, title = {Physics-Based Differentiable Depth Sensor Simulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14387-14397} }
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} }
Efficient Visual Pretraining With Contrastive Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Henaff_2021_ICCV, author = {H\'enaff, Olivier J. and Koppula, Skanda and Alayrac, Jean-Baptiste and van den Oord, Aaron and Vinyals, Oriol and Carreira, Jo\~ao}, title = {Efficient Visual Pretraining With Contrastive Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10086-10096} }
Exploiting Scene Graphs for Human-Object Interaction Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang}, title = {Exploiting Scene Graphs for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15984-15993} }
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jie and Ren, Yazhou and Tang, Huayi and Pu, Xiaorong and Zhu, Xiaofeng and Zeng, Ming and He, Lifang}, title = {Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9234-9243} }
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} }
Adversarial Robustness for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Awais_2021_ICCV, author = {Awais, Muhammad and Zhou, Fengwei and Xu, Hang and Hong, Lanqing and Luo, Ping and Bae, Sung-Ho and Li, Zhenguo}, title = {Adversarial Robustness for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8568-8577} }
Discovering 3D Parts From Image Collections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Chun-Han and Hung, Wei-Chih and Jampani, Varun and Yang, Ming-Hsuan}, title = {Discovering 3D Parts From Image Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12981-12990} }
ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Hao and Lagadec, Benoit and Bremond, Fran\c{c}ois}, title = {ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14960-14969} }
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2021_ICCV, author = {Ren, Yurui and Li, Ge and Chen, Yuanqi and Li, Thomas H. and Liu, Shan}, title = {PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13759-13768} }
Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Tianqiang and Wu, Rina and Lin, Xiangbo and Sun, Yi}, title = {Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15741-15751} }
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} }
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Heliang and Yang, Huan and Fu, Jianlong and Zha, Zheng-Jun and Luo, Jiebo}, title = {Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10242-10251} }
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} }
Visual Distant Supervision for Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Yuan and Zhang, Ao and Han, Xu and Li, Mengdi and Weber, Cornelius and Liu, Zhiyuan and Wermter, Stefan and Sun, Maosong}, title = {Visual Distant Supervision for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15816-15826} }
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} }
Image Shape Manipulation From a Single Augmented Training Sample-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vinker_2021_ICCV, author = {Vinker, Yael and Horwitz, Eliahu and Zabari, Nir and Hoshen, Yedid}, title = {Image Shape Manipulation From a Single Augmented Training Sample}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13769-13778} }
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Xu and Zheng, Yufeng and Black, Michael J. and Hilliges, Otmar and Geiger, Andreas}, title = {SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11594-11604} }
Curvature Generation in Curved Spaces for Few-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Zhi and Wu, Yuwei and Jia, Yunde and Harandi, Mehrtash}, title = {Curvature Generation in Curved Spaces for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8691-8700} }
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Ming-Xian and Yang, Jie and Wang, He and Lai, Yu-Kun and Jia, Rongfei and Zhao, Binqiang and Gao, Lin}, title = {Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11405-11415} }
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets From 3D Scans-
[pdf]
[arXiv]
[bibtex]@InProceedings{Eftekhar_2021_ICCV, author = {Eftekhar, Ainaz and Sax, Alexander and Malik, Jitendra and Zamir, Amir}, title = {Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets From 3D Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10786-10796} }
Single View Physical Distance Estimation Using Human Pose-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fei_2021_ICCV, author = {Fei, Xiaohan and Wang, Henry and Cheong, Lin Lee and Zeng, Xiangyu and Wang, Meng and Tighe, Joseph}, title = {Single View Physical Distance Estimation Using Human Pose}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12406-12416} }
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} }
Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Ziye and Zhan, Yibing and Yu, Baosheng and Gong, Mingming and Du, Bo}, title = {Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10508-10517} }
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} }
Adaptive Surface Normal Constraint for Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Long_2021_ICCV, author = {Long, Xiaoxiao and Lin, Cheng and Liu, Lingjie and Li, Wei and Theobalt, Christian and Yang, Ruigang and Wang, Wenping}, title = {Adaptive Surface Normal Constraint for Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12849-12858} }
Enriching Local and Global Contexts for Temporal Action Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Zixin and Tang, Wei and Wang, Le and Zheng, Nanning and Hua, Gang}, title = {Enriching Local and Global Contexts for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13516-13525} }
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} }
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zavrtanik_2021_ICCV, author = {Zavrtanik, Vitjan and Kristan, Matej and Sko\v{c}aj, Danijel}, title = {DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8330-8339} }
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} }
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ettinger_2021_ICCV, author = {Ettinger, Scott and Cheng, Shuyang and Caine, Benjamin and Liu, Chenxi and Zhao, Hang and Pradhan, Sabeek and Chai, Yuning and Sapp, Ben and Qi, Charles R. and Zhou, Yin and Yang, Zoey and Chouard, Aur\'elien and Sun, Pei and Ngiam, Jiquan and Vasudevan, Vijay and McCauley, Alexander and Shlens, Jonathon and Anguelov, Dragomir}, title = {Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9710-9719} }
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} }
Rethinking and Improving Relative Position Encoding for Vision Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Kan and Peng, Houwen and Chen, Minghao and Fu, Jianlong and Chao, Hongyang}, title = {Rethinking and Improving Relative Position Encoding for Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10033-10041} }
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} }
STRIVE: Scene Text Replacement in Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{G_2021_ICCV, author = {G, Vijay Kumar B and Subramanian, Jeyasri and Chordia, Varnith and Bart, Eugene and Fang, Shaobo and Guan, Kelly and Bala, Raja}, title = {STRIVE: Scene Text Replacement in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14549-14558} }
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} }
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Roberts_2021_ICCV, author = {Roberts, Mike and Ramapuram, Jason and Ranjan, Anurag and Kumar, Atulit and Bautista, Miguel Angel and Paczan, Nathan and Webb, Russ and Susskind, Joshua M.}, title = {Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10912-10922} }
Self-Supervised Object Detection via Generative Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mustikovela_2021_ICCV, author = {Mustikovela, Siva Karthik and De Mello, Shalini and Prakash, Aayush and Iqbal, Umar and Liu, Sifei and Nguyen-Phuoc, Thu and Rother, Carsten and Kautz, Jan}, title = {Self-Supervised Object Detection via Generative Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8609-8618} }
Action-Conditioned 3D Human Motion Synthesis With Transformer VAE-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Petrovich_2021_ICCV, author = {Petrovich, Mathis and Black, Michael J. and Varol, G\"ul}, title = {Action-Conditioned 3D Human Motion Synthesis With Transformer VAE}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10985-10995} }
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} }
Deep Relational Metric Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Wenzhao and Zhang, Borui and Lu, Jiwen and Zhou, Jie}, title = {Deep Relational Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12065-12074} }
A Unified Objective for Novel Class Discovery-
[pdf]
[supp]
[bibtex]@InProceedings{Fini_2021_ICCV, author = {Fini, Enrico and Sangineto, Enver and Lathuili\`ere, St\'ephane and Zhong, Zhun and Nabi, Moin and Ricci, Elisa}, title = {A Unified Objective for Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9284-9292} }
Provably Approximated Point Cloud Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Jubran_2021_ICCV, author = {Jubran, Ibrahim and Maalouf, Alaa and Kimmel, Ron and Feldman, Dan}, title = {Provably Approximated Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13269-13278} }
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} }
Invisible Backdoor Attack With Sample-Specific Triggers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yuezun and Li, Yiming and Wu, Baoyuan and Li, Longkang and He, Ran and Lyu, Siwei}, title = {Invisible Backdoor Attack With Sample-Specific Triggers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16463-16472} }
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} }
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Yanbin and Lee, Juho and Zhu, Linchao and Chen, Ling and Shi, Humphrey and Yang, Yi}, title = {A Multi-Mode Modulator for Multi-Domain Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8453-8462} }
SketchAA: Abstract Representation for Abstract Sketches-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Lan and Pang, Kaiyue and Zhang, Honggang and Song, Yi-Zhe}, title = {SketchAA: Abstract Representation for Abstract Sketches}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10097-10106} }
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} }
SurfaceNet: Adversarial SVBRDF Estimation From a Single Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vecchio_2021_ICCV, author = {Vecchio, Giuseppe and Palazzo, Simone and Spampinato, Concetto}, title = {SurfaceNet: Adversarial SVBRDF Estimation From a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12840-12848} }
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Zhiwen and Zhu, Lingjie and Li, Honghua and Chen, Xiaohao and Zhu, Siyu and Tan, Ping}, title = {FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10128-10137} }
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} }
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Zhiqiang and Zhang, Shufei and Huang, Kaizhu and Wang, Qiufeng and Zhong, Chaoliang}, title = {Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8937-8946} }
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} }
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yaoming and Liu, Yuchen and Dai, Wenrui and Li, Chenglin and Zou, Junni and Xiong, Hongkai}, title = {Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12312-12321} }
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} }
Episodic Transformer for Vision-and-Language Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pashevich_2021_ICCV, author = {Pashevich, Alexander and Schmid, Cordelia and Sun, Chen}, title = {Episodic Transformer for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15942-15952} }
Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Zhuo and Ma, Ailong and Zhang, Liangpei and Zhong, Yanfei}, title = {Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15193-15202} }
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} }
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Chenxi and Fang, Hao-Shu and Gou, Minghao and Fang, Hongjie and Gao, Jin and Lu, Cewu}, title = {Graspness Discovery in Clutters for Fast and Accurate Grasp Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15964-15973} }
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} }
Clustering by Maximizing Mutual Information Across Views-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Do_2021_ICCV, author = {Do, Kien and Tran, Truyen and Venkatesh, Svetha}, title = {Clustering by Maximizing Mutual Information Across Views}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9928-9938} }
SIGN: Spatial-Information Incorporated Generative Network for Generalized Zero-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Jiaxin and Nandi, Soumyaroop and Natarajan, Prem and Abd-Almageed, Wael}, title = {SIGN: Spatial-Information Incorporated Generative Network for Generalized Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9556-9566} }
Learning With Privileged Tasks-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Yuru and Lou, Zan and You, Shan and Yang, Erkun and Wang, Fei and Qian, Chen and Zhang, Changshui and Wang, Xiaogang}, title = {Learning With Privileged Tasks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10685-10694} }
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Zixu and Jin, Yueming and Heng, Pheng-Ann}, title = {Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9960-9969} }
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities-
[pdf]
[supp]
[bibtex]@InProceedings{Eulig_2021_ICCV, author = {Eulig, Elias and Saranrittichai, Piyapat and Mummadi, Chaithanya Kumar and Rambach, Kilian and Beluch, William and Shi, Xiahan and Fischer, Volker}, title = {DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10655-10664} }
ASMR: Learning Attribute-Based Person Search With Adaptive Semantic Margin Regularizer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeong_2021_ICCV, author = {Jeong, Boseung and Park, Jicheol and Kwak, Suha}, title = {ASMR: Learning Attribute-Based Person Search With Adaptive Semantic Margin Regularizer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12016-12025} }
Learning Inner-Group Relations on Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ran_2021_ICCV, author = {Ran, Haoxi and Zhuo, Wei and Liu, Jun and Lu, Li}, title = {Learning Inner-Group Relations on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15477-15487} }
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Ze and Lin, Yutong and Cao, Yue and Hu, Han and Wei, Yixuan and Zhang, Zheng and Lin, Stephen and Guo, Baining}, title = {Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10012-10022} }
Dynamic Cross Feature Fusion for Remote Sensing Pansharpening-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Xiao and Huang, Ting-Zhu and Deng, Liang-Jian and Zhang, Tian-Jing}, title = {Dynamic Cross Feature Fusion for Remote Sensing Pansharpening}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14687-14696} }
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} }
RobustNav: Towards Benchmarking Robustness in Embodied Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chattopadhyay_2021_ICCV, author = {Chattopadhyay, Prithvijit and Hoffman, Judy and Mottaghi, Roozbeh and Kembhavi, Aniruddha}, title = {RobustNav: Towards Benchmarking Robustness in Embodied Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15691-15700} }
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} }
A Simple Baseline for Weakly-Supervised Scene Graph Generation-
[pdf]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Jing and Zhong, Yiwu and Xu, Ning and Li, Yin and Xu, Chenliang}, title = {A Simple Baseline for Weakly-Supervised Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16393-16402} }
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} }
3DStyleNet: Creating 3D Shapes With Geometric and Texture Style Variations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2021_ICCV, author = {Yin, Kangxue and Gao, Jun and Shugrina, Maria and Khamis, Sameh and Fidler, Sanja}, title = {3DStyleNet: Creating 3D Shapes With Geometric and Texture Style Variations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12456-12465} }
NeRD: Neural Reflectance Decomposition From Image Collections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Boss_2021_ICCV, author = {Boss, Mark and Braun, Raphael and Jampani, Varun and Barron, Jonathan T. and Liu, Ce and Lensch, Hendrik P.A.}, title = {NeRD: Neural Reflectance Decomposition From Image Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12684-12694} }
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} }
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Dang_2021_ICCV, author = {Dang, Lingwei and Nie, Yongwei and Long, Chengjiang and Zhang, Qing and Li, Guiqing}, title = {MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11467-11476} }
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} }
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Beibei and Zhang, Shunli and Yu, Xin}, title = {Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14648-14656} }
Labels4Free: Unsupervised Segmentation Using StyleGAN-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abdal_2021_ICCV, author = {Abdal, Rameen and Zhu, Peihao and Mitra, Niloy J. and Wonka, Peter}, title = {Labels4Free: Unsupervised Segmentation Using StyleGAN}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13970-13979} }
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} }
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Xiaodan and Ahuja, Narendra}, title = {Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11015-11024} }
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} }
Improving Contrastive Learning by Visualizing Feature Transformation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Rui and Zhao, Bingchen and Liu, Jingen and Sun, Zhenglong and Chen, Chang Wen}, title = {Improving Contrastive Learning by Visualizing Feature Transformation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10306-10315} }
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} }
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhan_2021_ICCV, author = {Zhan, Xunlin and Wu, Yangxin and Dong, Xiao and Wei, Yunchao and Lu, Minlong and Zhang, Yichi and Xu, Hang and Liang, Xiaodan}, title = {Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11782-11791} }
StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Xiaolei and Hu, Zhihao and Sheng, Lu and Xu, Dong}, title = {StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14618-14627} }
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} }
A Style and Semantic Memory Mechanism for Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yang and Wang, Yu and Pan, Yingwei and Yao, Ting and Tian, Xinmei and Mei, Tao}, title = {A Style and Semantic Memory Mechanism for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9164-9173} }
EigenGAN: Layer-Wise Eigen-Learning for GANs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Zhenliang and Kan, Meina and Shan, Shiguang}, title = {EigenGAN: Layer-Wise Eigen-Learning for GANs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14408-14417} }
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics-
[pdf]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Gun-Hee and Lee, Seong-Whan}, title = {Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12375-12384} }
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2021_ICCV, author = {Meng, Zihang and Singh, Vikas and Ravi, Sathya N.}, title = {Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11635-11644} }
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} }
FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Anthony and Murez, Zak and Mohan, Nikhil and Dudas, Sof{\'\i}a and Hawke, Jeffrey and Badrinarayanan, Vijay and Cipolla, Roberto and Kendall, Alex}, title = {FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15273-15282} }
CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks-
[pdf]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Liuwan and Ning, Rui and Xin, Chunsheng and Wang, Chonggang and Wu, Hongyi}, title = {CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16453-16462} }
Motion-Augmented Self-Training for Video Recognition at Smaller Scale-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gavrilyuk_2021_ICCV, author = {Gavrilyuk, Kirill and Jain, Mihir and Karmanov, Ilia and Snoek, Cees G. M.}, title = {Motion-Augmented Self-Training for Video Recognition at Smaller Scale}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10429-10438} }
Generating Smooth Pose Sequences for Diverse Human Motion Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mao_2021_ICCV, author = {Mao, Wei and Liu, Miaomiao and Salzmann, Mathieu}, title = {Generating Smooth Pose Sequences for Diverse Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13309-13318} }
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shapovalov_2021_ICCV, author = {Shapovalov, Roman and Novotny, David and Graham, Benjamin and Labatut, Patrick and Vedaldi, Andrea}, title = {DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11729-11739} }
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} }
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baek_2021_ICCV, author = {Baek, Donghyeon and Oh, Youngmin and Ham, Bumsub}, title = {Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9536-9545} }
HeadGAN: One-Shot Neural Head Synthesis and Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Doukas_2021_ICCV, author = {Doukas, Michail Christos and Zafeiriou, Stefanos and Sharmanska, Viktoriia}, title = {HeadGAN: One-Shot Neural Head Synthesis and Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14398-14407} }
Aligning Subtitles in Sign Language Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bull_2021_ICCV, author = {Bull, Hannah and Afouras, Triantafyllos and Varol, G\"ul and Albanie, Samuel and Momeni, Liliane and Zisserman, Andrew}, title = {Aligning Subtitles in Sign Language Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11552-11561} }
Variational Feature Disentangling for Fine-Grained Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jingyi and Le, Hieu and Huang, Mingzhen and Athar, ShahRukh and Samaras, Dimitris}, title = {Variational Feature Disentangling for Fine-Grained Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8812-8821} }
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} }
Deep Implicit Surface Point Prediction Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Venkatesh_2021_ICCV, author = {Venkatesh, Rahul and Karmali, Tejan and Sharma, Sarthak and Ghosh, Aurobrata and Babu, R. Venkatesh and Jeni, L\'aszl\'o A. and Singh, Maneesh}, title = {Deep Implicit Surface Point Prediction Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12653-12662} }
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} }
Deep Metric Learning for Open World Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cen_2021_ICCV, author = {Cen, Jun and Yun, Peng and Cai, Junhao and Wang, Michael Yu and Liu, Ming}, title = {Deep Metric Learning for Open World Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15333-15342} }
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} }
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Di_2021_ICCV, author = {Di, Yan and Manhardt, Fabian and Wang, Gu and Ji, Xiangyang and Navab, Nassir and Tombari, Federico}, title = {SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12396-12405} }
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} }
HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Song and Fan, Haoqi and Qian, Shengsheng and Chen, Yiru and Ding, Wenkui and Wang, Zhongyuan}, title = {HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11915-11925} }
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Patravali_2021_ICCV, author = {Patravali, Jay and Mittal, Gaurav and Yu, Ye and Li, Fuxin and Chen, Mei}, title = {Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8484-8494} }
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials-
[pdf]
[supp]
[bibtex]@InProceedings{Babiloni_2021_ICCV, author = {Babiloni, Francesca and Marras, Ioannis and Kokkinos, Filippos and Deng, Jiankang and Chrysos, Grigorios and Zafeiriou, Stefanos}, title = {Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10518-10528} }
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} }
Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Eungyeup and Lee, Sanghyeon and Park, Jeonghoon and Choi, Somi and Seo, Choonghyun and Choo, Jaegul}, title = {Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14667-14676} }
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} }
Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Feihu and Woodford, Oliver J. and Prisacariu, Victor Adrian and Torr, Philip H.S.}, title = {Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10807-10817} }
Learned Spatial Representations for Few-Shot Talking-Head Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meshry_2021_ICCV, author = {Meshry, Moustafa and Suri, Saksham and Davis, Larry S. and Shrivastava, Abhinav}, title = {Learned Spatial Representations for Few-Shot Talking-Head Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13829-13838} }
Vision Transformers for Dense Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ranftl_2021_ICCV, author = {Ranftl, Ren\'e and Bochkovskiy, Alexey and Koltun, Vladlen}, title = {Vision Transformers for Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12179-12188} }
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} }
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hao_2021_ICCV, author = {Hao, Zekun and Mallya, Arun and Belongie, Serge and Liu, Ming-Yu}, title = {GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14072-14082} }
Talk-To-Edit: Fine-Grained Facial Editing via Dialog-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Yuming and Huang, Ziqi and Pan, Xingang and Loy, Chen Change and Liu, Ziwei}, title = {Talk-To-Edit: Fine-Grained Facial Editing via Dialog}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13799-13808} }
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Ye and Weng, Xinshuo and Ou, Yanglan and Kitani, Kris M.}, title = {AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9813-9823} }
Transparent Object Tracking Benchmark-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Heng and Miththanthaya, Halady Akhilesha and Harshit and Rajan, Siranjiv Ramana and Liu, Xiaoqiong and Zou, Zhilin and Lin, Yuewei and Ling, Haibin}, title = {Transparent Object Tracking Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10734-10743} }
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} }
CDS: Cross-Domain Self-Supervised Pre-Training-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Donghyun and Saito, Kuniaki and Oh, Tae-Hyun and Plummer, Bryan A. and Sclaroff, Stan and Saenko, Kate}, title = {CDS: Cross-Domain Self-Supervised Pre-Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9123-9132} }
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} }
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yang and Takehara, Hikari and Taketomi, Takafumi and Zheng, Bo and Nie{\ss}ner, Matthias}, title = {4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12706-12716} }
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} }
On Compositions of Transformations in Contrastive Self-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Patrick_2021_ICCV, author = {Patrick, Mandela and Asano, Yuki M. and Kuznetsova, Polina and Fong, Ruth and Henriques, Jo\~ao F. and Zweig, Geoffrey and Vedaldi, Andrea}, title = {On Compositions of Transformations in Contrastive Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9577-9587} }
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} }
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Cheng and Pang, Guansong and Wang, Lei and Jiao, Jile and Feng, Xuetao and Shen, Chunhua and Li, Jingjing}, title = {BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10943-10952} }
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation From Images in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sengupta_2021_ICCV, author = {Sengupta, Akash and Budvytis, Ignas and Cipolla, Roberto}, title = {Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation From Images in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11219-11229} }
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} }
DepthTrack: Unveiling the Power of RGBD Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Song and Yang, Jinyu and K\"apyl\"a, Jani and Zheng, Feng and Leonardis, Ale\v{s} and K\"am\"ar\"ainen, Joni-Kristian}, title = {DepthTrack: Unveiling the Power of RGBD Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10725-10733} }
XVFI: eXtreme Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sim_2021_ICCV, author = {Sim, Hyeonjun and Oh, Jihyong and Kim, Munchurl}, title = {XVFI: eXtreme Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14489-14498} }
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Min and Guo, Yang and Lei, Na and Zhao, Zhou and Wu, Jianfeng and Xu, Xiaoyin and Wang, Yalin and Gu, Xianfeng}, title = {Cortical Surface Shape Analysis Based on Alexandrov Polyhedra}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14244-14252} }
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} }
Solving Inefficiency of Self-Supervised Representation Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Guangrun and Wang, Keze and Wang, Guangcong and Torr, Philip H.S. and Lin, Liang}, title = {Solving Inefficiency of Self-Supervised Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9505-9515} }
Stochastic Scene-Aware Motion Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hassan_2021_ICCV, author = {Hassan, Mohamed and Ceylan, Duygu and Villegas, Ruben and Saito, Jun and Yang, Jimei and Zhou, Yi and Black, Michael J.}, title = {Stochastic Scene-Aware Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11374-11384} }
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bae_2021_ICCV, author = {Bae, Gwangbin and Budvytis, Ignas and Cipolla, Roberto}, title = {Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13137-13146} }
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} }
ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Tsung-Han and Liu, Yueh-Cheng and Huang, Yu-Kai and Lee, Hsin-Ying and Su, Hung-Ting and Huang, Ping-Chia and Hsu, Winston H.}, title = {ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15510-15519} }
Point Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Hengshuang and Jiang, Li and Jia, Jiaya and Torr, Philip H.S. and Koltun, Vladlen}, title = {Point Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16259-16268} }
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} }
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs-
[pdf]
[supp]
[bibtex]@InProceedings{Dhamo_2021_ICCV, author = {Dhamo, Helisa and Manhardt, Fabian and Navab, Nassir and Tombari, Federico}, title = {Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16352-16361} }
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} }
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Paul_2021_ICCV, author = {Paul, Soumava and Dutta, Titir and Biswas, Soma}, title = {Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12056-12064} }
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} }
Robust Object Detection via Instance-Level Temporal Cycle Confusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xin and Huang, Thomas E. and Liu, Benlin and Yu, Fisher and Wang, Xiaolong and Gonzalez, Joseph E. and Darrell, Trevor}, title = {Robust Object Detection via Instance-Level Temporal Cycle Confusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9143-9152} }
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} }
Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bi_2021_ICCV, author = {Bi, Jing and Luo, Jiebo and Xu, Chenliang}, title = {Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15611-15620} }
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} }
Structured Outdoor Architecture Reconstruction by Exploration and Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Fuyang and Xu, Xiang and Nauata, Nelson and Furukawa, Yasutaka}, title = {Structured Outdoor Architecture Reconstruction by Exploration and Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12427-12435} }
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Dendorfer_2021_ICCV, author = {Dendorfer, Patrick and Elflein, Sven and Leal-Taix\'e, Laura}, title = {MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13158-13167} }
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} }
Point-Set Distances for Learning Representations of 3D Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Trung and Pham, Quang-Hieu and Le, Tam and Pham, Tung and Ho, Nhat and Hua, Binh-Son}, title = {Point-Set Distances for Learning Representations of 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10478-10487} }
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} }
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited-
[pdf]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Tong and Xu, Yuanlu and Saito, Shunsuke and Soatto, Stefano and Tung, Tony}, title = {ARCH++: Animation-Ready Clothed Human Reconstruction Revisited}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11046-11056} }
Vision-Language Transformer and Query Generation for Referring Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ding_2021_ICCV, author = {Ding, Henghui and Liu, Chang and Wang, Suchen and Jiang, Xudong}, title = {Vision-Language Transformer and Query Generation for Referring Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16321-16330} }
Semantically Coherent Out-of-Distribution Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Jingkang and Wang, Haoqi and Feng, Litong and Yan, Xiaopeng and Zheng, Huabin and Zhang, Wayne and Liu, Ziwei}, title = {Semantically Coherent Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8301-8309} }
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} }
RetrievalFuse: Neural 3D Scene Reconstruction With a Database-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Siddiqui_2021_ICCV, author = {Siddiqui, Yawar and Thies, Justus and Ma, Fangchang and Shan, Qi and Nie{\ss}ner, Matthias and Dai, Angela}, title = {RetrievalFuse: Neural 3D Scene Reconstruction With a Database}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12568-12577} }
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} }
Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Jinrui and Zhang, Jiawei and Yu, Fufu and Jiang, Xinyang and Zhang, Mengdan and Sun, Xing and Chen, Ying-Cong and Zheng, Wei-Shi}, title = {Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11885-11894} }
Focal Frequency Loss for Image Reconstruction and Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Liming and Dai, Bo and Wu, Wayne and Loy, Chen Change}, title = {Focal Frequency Loss for Image Reconstruction and Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13919-13929} }
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zhuowan and Stengel-Eskin, Elias and Zhang, Yixiao and Xie, Cihang and Tran, Quan Hung and Van Durme, Benjamin and Yuille, Alan}, title = {Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14910-14919} }
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} }
Object Tracking by Jointly Exploiting Frame and Event Domain-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Jiqing and Yang, Xin and Fu, Yingkai and Wei, Xiaopeng and Yin, Baocai and Dong, Bo}, title = {Object Tracking by Jointly Exploiting Frame and Event Domain}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13043-13052} }
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} }
Testing Using Privileged Information by Adapting Features With Statistical Dependence-
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[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Kwang In and Tompkin, James}, title = {Testing Using Privileged Information by Adapting Features With Statistical Dependence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9405-9413} }
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} }
Context-Sensitive Temporal Feature Learning for Gait Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Xiaohu and Zhu, Duowang and Wang, Hao and Wang, Xinggang and Yang, Bo and He, Botao and Liu, Wenyu and Feng, Bin}, title = {Context-Sensitive Temporal Feature Learning for Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12909-12918} }
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} }
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Junnan and Xiong, Caiming and Hoi, Steven C.H.}, title = {CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9475-9484} }
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} }
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Smith_2021_ICCV, author = {Smith, James and Hsu, Yen-Chang and Balloch, Jonathan and Shen, Yilin and Jin, Hongxia and Kira, Zsolt}, title = {Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9374-9384} }
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} }
Generative Compositional Augmentations for Scene Graph Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Knyazev_2021_ICCV, author = {Knyazev, Boris and de Vries, Harm and Cangea, C\u{a}t\u{a}lina and Taylor, Graham W. and Courville, Aaron and Belilovsky, Eugene}, title = {Generative Compositional Augmentations for Scene Graph Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15827-15837} }
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-
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[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} }
Benchmarking Ultra-High-Definition Image Super-Resolution-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Kaihao and Li, Dongxu and Luo, Wenhan and Ren, Wenqi and Stenger, Bj\"orn and Liu, Wei and Li, Hongdong and Yang, Ming-Hsuan}, title = {Benchmarking Ultra-High-Definition Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14769-14778} }
3D Local Convolutional Neural Networks for Gait Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Zhen and Xue, Dixiu and Shen, Xu and Tian, Xinmei and Li, Houqiang and Huang, Jianqiang and Hua, Xian-Sheng}, title = {3D Local Convolutional Neural Networks for Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14920-14929} }
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} }
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding-
[pdf]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yanfu and Luo, Lei and Xian, Wenhan and Huang, Heng}, title = {Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9918-9927} }
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} }
Learning High-Fidelity Face Texture Completion Without Complete Face Texture-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Jongyoo and Yang, Jiaolong and Tong, Xin}, title = {Learning High-Fidelity Face Texture Completion Without Complete Face Texture}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13990-13999} }
Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search-
[pdf]
[bibtex]@InProceedings{Noh_2021_ICCV, author = {Noh, Haechan and Kim, Taeho and Heo, Jae-Pil}, title = {Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12210-12218} }
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} }
Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Gaoang and Gu, Renshu and Liu, Zuozhu and Hu, Weijie and Song, Mingli and Hwang, Jenq-Neng}, title = {Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9876-9886} }
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} }
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dhar_2021_ICCV, author = {Dhar, Prithviraj and Gleason, Joshua and Roy, Aniket and Castillo, Carlos D. and Chellappa, Rama}, title = {PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15087-15096} }
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} }
Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wehrbein_2021_ICCV, author = {Wehrbein, Tom and Rudolph, Marco and Rosenhahn, Bodo and Wandt, Bastian}, title = {Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11199-11208} }
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} }
From Two to One: A New Scene Text Recognizer With Visual Language Modeling Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yuxin and Xie, Hongtao and Fang, Shancheng and Wang, Jing and Zhu, Shenggao and Zhang, Yongdong}, title = {From Two to One: A New Scene Text Recognizer With Visual Language Modeling Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14194-14203} }
GRF: Learning a General Radiance Field for 3D Representation and Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Trevithick_2021_ICCV, author = {Trevithick, Alex and Yang, Bo}, title = {GRF: Learning a General Radiance Field for 3D Representation and Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15182-15192} }
Neural Strokes: Stylized Line Drawing of 3D Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Difan and Fisher, Matthew and Hertzmann, Aaron and Kalogerakis, Evangelos}, title = {Neural Strokes: Stylized Line Drawing of 3D Shapes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14204-14213} }
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} }
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Qiangeng and Zhou, Yin and Wang, Weiyue and Qi, Charles R. and Anguelov, Dragomir}, title = {SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15446-15456} }
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} }
Direct Differentiable Augmentation Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Aoming and Huang, Zehao and Huang, Zhiwu and Wang, Naiyan}, title = {Direct Differentiable Augmentation Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12219-12228} }
The Functional Correspondence Problem-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lai_2021_ICCV, author = {Lai, Zihang and Purushwalkam, Senthil and Gupta, Abhinav}, title = {The Functional Correspondence Problem}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15772-15781} }
Detection and Continual Learning of Novel Face Presentation Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rostami_2021_ICCV, author = {Rostami, Mohammad and Spinoulas, Leonidas and Hussein, Mohamed and Mathai, Joe and Abd-Almageed, Wael}, title = {Detection and Continual Learning of Novel Face Presentation Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14851-14860} }
Adaptive Adversarial Network for Source-Free Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Xia_2021_ICCV, author = {Xia, Haifeng and Zhao, Handong and Ding, Zhengming}, title = {Adaptive Adversarial Network for Source-Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9010-9019} }
Painting From Part-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Dongsheng and Zhao, Haoru and Cheng, Yunhao and Zheng, Haiyong and Gu, Zhaorui and Zheng, Bing}, title = {Painting From Part}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14779-14788} }
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} }
Parallel Multi-Resolution Fusion Network for Image Inpainting-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Wentao and Zhang, Jianfu and Niu, Li and Ling, Haoyu and Yang, Xue and Zhang, Liqing}, title = {Parallel Multi-Resolution Fusion Network for Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14559-14568} }
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} }
MT-ORL: Multi-Task Occlusion Relationship Learning-
[pdf]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Panhe and She, Qi and Zhu, Lei and Li, Jiaxin and Zhang, Lin and Feng, Zijian and Wang, Changhu and Li, Chunpeng and Kang, Xuejing and Ming, Anlong}, title = {MT-ORL: Multi-Task Occlusion Relationship Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9364-9373} }
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} }
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Weiyao and Feiszli, Matt and Wang, Heng and Tran, Du}, title = {Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10776-10785} }
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} }
Task-Aware Part Mining Network for Few-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Jiamin and Zhang, Tianzhu and Zhang, Yongdong and Wu, Feng}, title = {Task-Aware Part Mining Network for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8433-8442} }
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} }
Geometric Unsupervised Domain Adaptation for Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Guizilini_2021_ICCV, author = {Guizilini, Vitor and Li, Jie and Ambruș, Rareș and Gaidon, Adrien}, title = {Geometric Unsupervised Domain Adaptation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8537-8547} }
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chatterjee_2021_ICCV, author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop}, title = {A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9751-9761} }
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Logothetis_2021_ICCV, author = {Logothetis, Fotios and Budvytis, Ignas and Mecca, Roberto and Cipolla, Roberto}, title = {PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12757-12766} }
Dynamic Surface Function Networks for Clothed Human Bodies-
[pdf]
[supp]
[bibtex]@InProceedings{Burov_2021_ICCV, author = {Burov, Andrei and Nie{\ss}ner, Matthias and Thies, Justus}, title = {Dynamic Surface Function Networks for Clothed Human Bodies}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10754-10764} }
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} }
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2021_ICCV, author = {Gao, Ge and You, Pei and Pan, Rong and Han, Shunyuan and Zhang, Yuanyuan and Dai, Yuchao and Lee, Hojae}, title = {Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14677-14686} }
Unpaired Learning for High Dynamic Range Image Tone Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Vinker_2021_ICCV, author = {Vinker, Yael and Huberman-Spiegelglas, Inbar and Fattal, Raanan}, title = {Unpaired Learning for High Dynamic Range Image Tone Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14657-14666} }
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} }
Unaligned Image-to-Image Translation by Learning to Reweight-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2021_ICCV, author = {Xie, Shaoan and Gong, Mingming and Xu, Yanwu and Zhang, Kun}, title = {Unaligned Image-to-Image Translation by Learning to Reweight}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14174-14184} }
OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Eric and Bui, Tu and Swaminathan, Viswanathan and Collomosse, John}, title = {OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14499-14508} }
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Mu_2021_ICCV, author = {Mu, Jiteng and Qiu, Weichao and Kortylewski, Adam and Yuille, Alan and Vasconcelos, Nuno and Wang, Xiaolong}, title = {A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13001-13011} }
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} }
Exploring Long Tail Visual Relationship Recognition With Large Vocabulary-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abdelkarim_2021_ICCV, author = {Abdelkarim, Sherif and Agarwal, Aniket and Achlioptas, Panos and Chen, Jun and Huang, Jiaji and Li, Boyang and Church, Kenneth and Elhoseiny, Mohamed}, title = {Exploring Long Tail Visual Relationship Recognition With Large Vocabulary}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15921-15930} }
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers-
[pdf]
[supp]
[bibtex]@InProceedings{Kaufmann_2021_ICCV, author = {Kaufmann, Manuel and Zhao, Yi and Tang, Chengcheng and Tao, Lingling and Twigg, Christopher and Song, Jie and Wang, Robert and Hilliges, Otmar}, title = {EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11510-11520} }
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors-
[pdf]
[supp]
[bibtex]@InProceedings{Makansi_2021_ICCV, author = {Makansi, Osama and \c{C}i\c{c}ek, \"Ozg\"un and Marrakchi, Yassine and Brox, Thomas}, title = {On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13147-13157} }
Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing-
[pdf]
[supp]
[bibtex]@InProceedings{Regmi_2021_ICCV, author = {Regmi, Krishna and Shah, Mubarak}, title = {Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12126-12135} }
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} }
ELF-VC: Efficient Learned Flexible-Rate Video Coding-
[pdf]
[supp]
[bibtex]@InProceedings{Rippel_2021_ICCV, author = {Rippel, Oren and Anderson, Alexander G. and Tatwawadi, Kedar and Nair, Sanjay and Lytle, Craig and Bourdev, Lubomir}, title = {ELF-VC: Efficient Learned Flexible-Rate Video Coding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14479-14488} }
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} }
Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation-
[pdf]
[bibtex]@InProceedings{Liao_2021_ICCV, author = {Liao, Kang and Lin, Chunyu and Wei, Yunchao and Li, Feng and Yang, Shangrong and Zhao, Yao}, title = {Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14569-14578} }
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation-
[pdf]
[bibtex]@InProceedings{Mariotti_2021_ICCV, author = {Mariotti, Octave and Mac Aodha, Oisin and Bilen, Hakan}, title = {ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10418-10428} }
High-Resolution Optical Flow From 1D Attention and Correlation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Haofei and Yang, Jiaolong and Cai, Jianfei and Zhang, Juyong and Tong, Xin}, title = {High-Resolution Optical Flow From 1D Attention and Correlation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10498-10507} }
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} }
Kernel Methods in Hyperbolic Spaces-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2021_ICCV, author = {Fang, Pengfei and Harandi, Mehrtash and Petersson, Lars}, title = {Kernel Methods in Hyperbolic Spaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10665-10674} }
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Zhenbo and Ni, Bingbing and Xu, Jingwei and Wang, Junjie and Zhao, Chenglong and Zhang, Wenjun}, title = {Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8651-8660} }
Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition-
[pdf]
[bibtex]@InProceedings{Friji_2021_ICCV, author = {Friji, Rasha and Drira, Hassen and Chaieb, Faten and Kchok, Hamza and Kurtek, Sebastian}, title = {Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12611-12620} }
Enhanced Boundary Learning for Glass-Like Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2021_ICCV, author = {He, Hao and Li, Xiangtai and Cheng, Guangliang and Shi, Jianping and Tong, Yunhai and Meng, Gaofeng and Prinet, V\'eronique and Weng, LuBin}, title = {Enhanced Boundary Learning for Glass-Like Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15859-15868} }
Self-Supervised Pretraining of 3D Features on Any Point-Cloud-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zaiwei and Girdhar, Rohit and Joulin, Armand and Misra, Ishan}, title = {Self-Supervised Pretraining of 3D Features on Any Point-Cloud}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10252-10263} }
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} }
Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kwon_2021_ICCV, author = {Kwon, Gihyun and Ye, Jong Chul}, title = {Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13980-13989} }
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} }
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Guanglei and Tang, Hao and Ding, Mingli and Sebe, Nicu and Ricci, Elisa}, title = {Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16269-16279} }
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} }
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Anh-Quan and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud}, title = {PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13229-13238} }
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yi and Huang, Lei and Zhou, Tao and Shao, Ling}, title = {CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8260-8270} }
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition-
[pdf]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Lei and Xiong, Peixi and Wei, Wei and Wu, Ying}, title = {FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15394-15403} }
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} }
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Yinbo and Liu, Zhuang and Xu, Huijuan and Darrell, Trevor and Wang, Xiaolong}, title = {Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9062-9071} }
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} }
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization-
[pdf]
[supp]
[bibtex]@InProceedings{Zoran_2021_ICCV, author = {Zoran, Daniel and Kabra, Rishabh and Lerchner, Alexander and Rezende, Danilo J.}, title = {PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10439-10447} }
Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2021_ICCV, author = {Jung, Hyunyoung and Park, Eunhyeok and Yoo, Sungjoo}, title = {Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12642-12652} }
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} }
Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor Spaces-
[pdf]
[supp]
[bibtex]@InProceedings{Hyeon_2021_ICCV, author = {Hyeon, Janghun and Kim, Joohyung and Doh, Nakju}, title = {Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor Spaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15974-15983} }
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zhian and Nie, Yongwei and Long, Chengjiang and Zhang, Qing and Li, Guiqing}, title = {A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13588-13597} }
PointBA: Towards Backdoor Attacks in 3D Point Cloud-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Xinke and Chen, Zhirui and Zhao, Yue and Tong, Zekun and Zhao, Yabang and Lim, Andrew and Zhou, Joey Tianyi}, title = {PointBA: Towards Backdoor Attacks in 3D Point Cloud}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16492-16501} }
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} }
Region Similarity Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiao_2021_ICCV, author = {Xiao, Tete and Reed, Colorado J and Wang, Xiaolong and Keutzer, Kurt and Darrell, Trevor}, title = {Region Similarity Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10539-10548} }
Learning of Visual Relations: The Devil Is in the Tails-
[pdf]
[arXiv]
[bibtex]@InProceedings{Desai_2021_ICCV, author = {Desai, Alakh and Wu, Tz-Ying and Tripathi, Subarna and Vasconcelos, Nuno}, title = {Learning of Visual Relations: The Devil Is in the Tails}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15404-15413} }
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Ruihuang and Jia, Xu and He, Jianzhong and Chen, Shuaijun and Hu, Qinghua}, title = {T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9991-10000} }
BuildingNet: Learning To Label 3D Buildings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Selvaraju_2021_ICCV, author = {Selvaraju, Pratheba and Nabail, Mohamed and Loizou, Marios and Maslioukova, Maria and Averkiou, Melinos and Andreou, Andreas and Chaudhuri, Siddhartha and Kalogerakis, Evangelos}, title = {BuildingNet: Learning To Label 3D Buildings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10397-10407} }
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} }
Divide and Conquer for Single-Frame Temporal Action Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Ju_2021_ICCV, author = {Ju, Chen and Zhao, Peisen and Chen, Siheng and Zhang, Ya and Wang, Yanfeng and Tian, Qi}, title = {Divide and Conquer for Single-Frame Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13455-13464} }
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} }
Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing-
[pdf]
[supp]
[bibtex]@InProceedings{Dib_2021_ICCV, author = {Dib, Abdallah and Th\'ebault, C\'edric and Ahn, Junghyun and Gosselin, Philippe-Henri and Theobalt, Christian and Chevallier, Louis}, title = {Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12819-12829} }
Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Mu and Zhang, Hong and Huang, Huijuan and Geng, Qichuan and Li, Yixuan and Huang, Gao}, title = {Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13930-13940} }
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} }
Motion Guided Attention Fusion To Recognize Interactions From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Tae Soo and Jones, Jonathan and Hager, Gregory D.}, title = {Motion Guided Attention Fusion To Recognize Interactions From Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13076-13086} }
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} }
SLIDE: Single Image 3D Photography With Soft Layering and Depth-Aware Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jampani_2021_ICCV, author = {Jampani, Varun and Chang, Huiwen and Sargent, Kyle and Kar, Abhishek and Tucker, Richard and Krainin, Michael and Kaeser, Dominik and Freeman, William T. and Salesin, David and Curless, Brian and Liu, Ce}, title = {SLIDE: Single Image 3D Photography With Soft Layering and Depth-Aware Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12518-12527} }
Learning Spatio-Temporal Transformer for Visual Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Bin and Peng, Houwen and Fu, Jianlong and Wang, Dong and Lu, Huchuan}, title = {Learning Spatio-Temporal Transformer for Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10448-10457} }
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} }
From General to Specific: Informative Scene Graph Generation via Balance Adjustment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Yuyu and Gao, Lianli and Wang, Xuanhan and Hu, Yuxuan and Xu, Xing and Lu, Xu and Shen, Heng Tao and Song, Jingkuan}, title = {From General to Specific: Informative Scene Graph Generation via Balance Adjustment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16383-16392} }
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Bangbang and Zhang, Yinda and Xu, Yinghao and Li, Yijin and Zhou, Han and Bao, Hujun and Zhang, Guofeng and Cui, Zhaopeng}, title = {Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13779-13788} }
Practical Relative Order Attack in Deep Ranking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Mo and Wang, Le and Niu, Zhenxing and Zhang, Qilin and Xu, Yinghui and Zheng, Nanning and Hua, Gang}, title = {Practical Relative Order Attack in Deep Ranking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16413-16422} }
Unsupervised Layered Image Decomposition Into Object Prototypes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Monnier_2021_ICCV, author = {Monnier, Tom and Vincent, Elliot and Ponce, Jean and Aubry, Mathieu}, title = {Unsupervised Layered Image Decomposition Into Object Prototypes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8640-8650} }
Manifold Alignment for Semantically Aligned Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huo_2021_ICCV, author = {Huo, Jing and Jin, Shiyin and Li, Wenbin and Wu, Jing and Lai, Yu-Kun and Shi, Yinghuan and Gao, Yang}, title = {Manifold Alignment for Semantically Aligned Style Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14861-14869} }
Defending Against Universal Adversarial Patches by Clipping Feature Norms-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Cheng and Chen, Jiansheng and Xue, Youze and Liu, Yuyang and Wan, Weitao and Bao, Jiayu and Ma, Huimin}, title = {Defending Against Universal Adversarial Patches by Clipping Feature Norms}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16434-16442} }
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} }
Discovering Human Interactions With Large-Vocabulary Objects via Query and Multi-Scale Detection-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Suchen and Yap, Kim-Hui and Ding, Henghui and Wu, Jiyan and Yuan, Junsong and Tan, Yap-Peng}, title = {Discovering Human Interactions With Large-Vocabulary Objects via Query and Multi-Scale Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13475-13484} }
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} }
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Fu_2021_ICCV, author = {Fu, Chaoyou and Hu, Yibo and Wu, Xiang and Shi, Hailin and Mei, Tao and He, Ran}, title = {CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11823-11832} }
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} }
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prabhu_2021_ICCV, author = {Prabhu, Viraj and Khare, Shivam and Kartik, Deeksha and Hoffman, Judy}, title = {SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8558-8567} }
Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images-
[pdf]
[bibtex]@InProceedings{Rao_2021_ICCV, author = {Rao, Yuan and Ni, Jiangqun}, title = {Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15034-15043} }
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} }
Relational Embedding for Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2021_ICCV, author = {Kang, Dahyun and Kwon, Heeseung and Min, Juhong and Cho, Minsu}, title = {Relational Embedding for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8822-8833} }
Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space-
[pdf]
[bibtex]@InProceedings{Ge_2021_ICCV, author = {Ge, Wuwei and Song, Yu and Zhang, Baichao and Dong, Zehua}, title = {Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15213-15221} }
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} }
Square Root Marginalization for Sliding-Window Bundle Adjustment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Demmel_2021_ICCV, author = {Demmel, Nikolaus and Schubert, David and Sommer, Christiane and Cremers, Daniel and Usenko, Vladyslav}, title = {Square Root Marginalization for Sliding-Window Bundle Adjustment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13260-13268} }
OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_2021_ICCV, author = {Le, Trung-Nghia and Nguyen, Huy H. and Yamagishi, Junichi and Echizen, Isao}, title = {OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10117-10127} }
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} }
Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning-
[pdf]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Lin and Lu, Shao-Ping and Chen, Tao and Yang, Zhenglu and Shamir, Ariel}, title = {Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12075-12084} }
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} }
Estimating Egocentric 3D Human Pose in Global Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Jian and Liu, Lingjie and Xu, Weipeng and Sarkar, Kripasindhu and Theobalt, Christian}, title = {Estimating Egocentric 3D Human Pose in Global Space}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11500-11509} }
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} }
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Isobe_2021_ICCV, author = {Isobe, Takashi and Li, Dong and Tian, Lu and Chen, Weihua and Shan, Yi and Wang, Shengjin}, title = {Towards Discriminative Representation Learning for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8526-8536} }
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} }
Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling-
[pdf]
[bibtex]@InProceedings{Vojir_2021_ICCV, author = {Vojir, Tomas and \v{S}ipka, Tom\'a\v{s} and Aljundi, Rahaf and Chumerin, Nikolay and Reino, Daniel Olmeda and Matas, Jiri}, title = {Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15651-15660} }
BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Changlin and Tang, Tao and Wang, Guangrun and Peng, Jiefeng and Wang, Bing and Liang, Xiaodan and Chang, Xiaojun}, title = {BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12281-12291} }
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Kwon_2021_ICCV, author = {Kwon, Taein and Tekin, Bugra and St\"uhmer, Jan and Bogo, Federica and Pollefeys, Marc}, title = {H2O: Two Hands Manipulating Objects for First Person Interaction Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10138-10148} }
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} }
TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yaxing and Laria, H\'ector and van de Weijer, Joost and Lopez-Fuentes, Laura and Raducanu, Bogdan}, title = {TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14010-14019} }
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} }
SynFace: Face Recognition With Synthetic Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiu_2021_ICCV, author = {Qiu, Haibo and Yu, Baosheng and Gong, Dihong and Li, Zhifeng and Liu, Wei and Tao, Dacheng}, title = {SynFace: Face Recognition With Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10880-10890} }
Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2021_ICCV, author = {Cho, Hanbyel and Cho, Yooshin and Yu, Jaemyung and Kim, Junmo}, title = {Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11169-11178} }
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Reiser_2021_ICCV, author = {Reiser, Christian and Peng, Songyou and Liao, Yiyi and Geiger, Andreas}, title = {KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14335-14345} }
Do Image Classifiers Generalize Across Time?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shankar_2021_ICCV, author = {Shankar, Vaishaal and Dave, Achal and Roelofs, Rebecca and Ramanan, Deva and Recht, Benjamin and Schmidt, Ludwig}, title = {Do Image Classifiers Generalize Across Time?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9661-9669} }
Refining Action Segmentation With Hierarchical Video Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Ahn_2021_ICCV, author = {Ahn, Hyemin and Lee, Dongheui}, title = {Refining Action Segmentation With Hierarchical Video Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16302-16310} }
Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Piaopiao and Guo, Jie and Huang, Fan and Zhou, Cheng and Che, Hongwei and Ling, Xiao and Guo, Yanwen}, title = {Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15313-15322} }
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cherian_2021_ICCV, author = {Cherian, Anoop and Pais, Gon\c{c}alo Dias and Jain, Siddarth and Marks, Tim K. and Sullivan, Alan}, title = {InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10023-10032} }
High-Performance Discriminative Tracking With Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Bin and Tang, Ming and Zheng, Linyu and Zhu, Guibo and Wang, Jinqiao and Feng, Hao and Feng, Xuetao and Lu, Hanqing}, title = {High-Performance Discriminative Tracking With Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9856-9865} }
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} }
Self-Supervised 3D Hand Pose Estimation From Monocular RGB via Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Spurr_2021_ICCV, author = {Spurr, Adrian and Dahiya, Aneesh and Wang, Xi and Zhang, Xucong and Hilliges, Otmar}, title = {Self-Supervised 3D Hand Pose Estimation From Monocular RGB via Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11230-11239} }
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} }
Admix: Enhancing the Transferability of Adversarial Attacks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Xiaosen and He, Xuanran and Wang, Jingdong and He, Kun}, title = {Admix: Enhancing the Transferability of Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16158-16167} }
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Sangho and Chung, Jiwan and Yu, Youngjae and Kim, Gunhee and Breuel, Thomas and Chechik, Gal and Song, Yale}, title = {ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10274-10284} }
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} }
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jianyun and Zhang, Ruixiang and Dou, Jian and Zhu, Yushi and Sun, Jie and Pu, Shiliang}, title = {RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16024-16033} }
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} }
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jang_2021_ICCV, author = {Jang, Wonbong and Agapito, Lourdes}, title = {CodeNeRF: Disentangled Neural Radiance Fields for Object Categories}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12949-12958} }
Infinite Nature: Perpetual View Generation of Natural Scenes From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Andrew and Tucker, Richard and Jampani, Varun and Makadia, Ameesh and Snavely, Noah and Kanazawa, Angjoo}, title = {Infinite Nature: Perpetual View Generation of Natural Scenes From a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14458-14467} }
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} }
Continuous Copy-Paste for One-Stage Multi-Object Tracking and Segmentation-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Zhenbo and Meng, Ajin and Shi, Zhenbo and Yang, Wei and Chen, Zhi and Huang, Liusheng}, title = {Continuous Copy-Paste for One-Stage Multi-Object Tracking and Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15323-15332} }
Hand-Object Contact Consistency Reasoning for Human Grasps Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Hanwen and Liu, Shaowei and Wang, Jiashun and Wang, Xiaolong}, title = {Hand-Object Contact Consistency Reasoning for Human Grasps Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11107-11116} }
FashionMirror: Co-Attention Feature-Remapping Virtual Try-On With Sequential Template Poses-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Chieh-Yun and Lo, Ling and Huang, Pin-Jui and Shuai, Hong-Han and Cheng, Wen-Huang}, title = {FashionMirror: Co-Attention Feature-Remapping Virtual Try-On With Sequential Template Poses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13809-13818} }
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} }
Confidence Calibration for Domain Generalization Under Covariate Shift-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Yunye and Lin, Xiao and Yao, Yi and Dietterich, Thomas G. and Divakaran, Ajay and Gervasio, Melinda}, title = {Confidence Calibration for Domain Generalization Under Covariate Shift}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8958-8967} }
Self-Supervised Video Representation Learning With Meta-Contrastive Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Yuanze and Guo, Xun and Lu, Yan}, title = {Self-Supervised Video Representation Learning With Meta-Contrastive Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8239-8249} }
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} }
Unsupervised Depth Completion With Calibrated Backprojection Layers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wong_2021_ICCV, author = {Wong, Alex and Soatto, Stefano}, title = {Unsupervised Depth Completion With Calibrated Backprojection Layers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12747-12756} }
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} }
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks-
[pdf]
[supp]
[bibtex]@InProceedings{Doan_2021_ICCV, author = {Doan, Khoa and Lao, Yingjie and Zhao, Weijie and Li, Ping}, title = {LIRA: Learnable, Imperceptible and Robust Backdoor Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11966-11976} }
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2021_ICCV, author = {Jung, Dongki and Choi, Jaehoon and Lee, Yonghan and Kim, Deokhwa and Kim, Changick and Manocha, Dinesh and Lee, Donghwan}, title = {DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12797-12807} }
Click To Move: Controlling Video Generation With Sparse Motion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ardino_2021_ICCV, author = {Ardino, Pierfrancesco and De Nadai, Marco and Lepri, Bruno and Ricci, Elisa and Lathuili\`ere, St\'ephane}, title = {Click To Move: Controlling Video Generation With Sparse Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14749-14758} }
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} }
From Continuity to Editability: Inverting GANs With Consecutive Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Yangyang and Du, Yong and Xiao, Wenpeng and Xu, Xuemiao and He, Shengfeng}, title = {From Continuity to Editability: Inverting GANs With Consecutive Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13910-13918} }
GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Haipeng and Luo, Kunming and Liu, Shuaicheng}, title = {GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12869-12878} }
Towards Discovery and Attribution of Open-World GAN Generated Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Girish_2021_ICCV, author = {Girish, Sharath and Suri, Saksham and Rambhatla, Sai Saketh and Shrivastava, Abhinav}, title = {Towards Discovery and Attribution of Open-World GAN Generated Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14094-14103} }
Vector Neurons: A General Framework for SO(3)-Equivariant Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Deng_2021_ICCV, author = {Deng, Congyue and Litany, Or and Duan, Yueqi and Poulenard, Adrien and Tagliasacchi, Andrea and Guibas, Leonidas J.}, title = {Vector Neurons: A General Framework for SO(3)-Equivariant Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12200-12209} }
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} }
Video-Based Person Re-Identification With Spatial and Temporal Memory Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eom_2021_ICCV, author = {Eom, Chanho and Lee, Geon and Lee, Junghyup and Ham, Bumsub}, title = {Video-Based Person Re-Identification With Spatial and Temporal Memory Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12036-12045} }
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} }
Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Zhi and Ye, Xiaoqing and Yang, Wei and Xu, Zhenbo and Tan, Xiao and Zou, Zhikang and Ding, Errui and Zhang, Xinming and Huang, Liusheng}, title = {Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15529-15538} }
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} }
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS-
[pdf]
[bibtex]@InProceedings{Miao_2021_ICCV, author = {Miao, Hui and Lu, Feixiang and Liu, Zongdai and Zhang, Liangjun and Manocha, Dinesh and Zhou, Bin}, title = {Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15631-15640} }
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} }
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Kai and Liu, Chang and Zhao, Handong and Zhang, Yulun and Fu, Yun}, title = {ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8578-8587} }
WaveFill: A Wavelet-Based Generation Network for Image Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Yingchen and Zhan, Fangneng and Lu, Shijian and Pan, Jianxiong and Ma, Feiying and Xie, Xuansong and Miao, Chunyan}, title = {WaveFill: A Wavelet-Based Generation Network for Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14114-14123} }
Egocentric Pose Estimation From Human Vision Span-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2021_ICCV, author = {Jiang, Hao and Ithapu, Vamsi Krishna}, title = {Egocentric Pose Estimation From Human Vision Span}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11006-11014} }
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} }
Monocular, One-Stage, Regression of Multiple 3D People-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Yu and Bao, Qian and Liu, Wu and Fu, Yili and Black, Michael J. and Mei, Tao}, title = {Monocular, One-Stage, Regression of Multiple 3D People}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11179-11188} }
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Qiqi and Zhou, Qianyu and Xu, Minghao and Feng, Zhengyang and Cheng, Guangliang and Lu, Xuequan and Shi, Jianping and Ma, Lizhuang}, title = {PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8761-8770} }
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} }
Image Harmonization With Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Zonghui and Guo, Dongsheng and Zheng, Haiyong and Gu, Zhaorui and Zheng, Bing and Dong, Junyu}, title = {Image Harmonization With Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14870-14879} }
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} }
Human Pose Regression With Residual Log-Likelihood Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jiefeng and Bian, Siyuan and Zeng, Ailing and Wang, Can and Pang, Bo and Liu, Wentao and Lu, Cewu}, title = {Human Pose Regression With Residual Log-Likelihood Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11025-11034} }
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} }
Boosting Monocular Depth Estimation With Lightweight 3D Point Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huynh_2021_ICCV, author = {Huynh, Lam and Nguyen, Phong and Matas, Ji\v{r}{\'\i} and Rahtu, Esa and Heikkil\"a, Janne}, title = {Boosting Monocular Depth Estimation With Lightweight 3D Point Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12767-12776} }
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} }
Removing the Bias of Integral Pose Regression-
[pdf]
[supp]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Kerui and Yang, Linlin and Yao, Angela}, title = {Removing the Bias of Integral Pose Regression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11067-11076} }
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} }
Holistic Pose Graph: Modeling Geometric Structure Among Objects in a Scene Using Graph Inference for 3D Object Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2021_ICCV, author = {Xiao, Jiwei and Wang, Ruiping and Chen, Xilin}, title = {Holistic Pose Graph: Modeling Geometric Structure Among Objects in a Scene Using Graph Inference for 3D Object Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12717-12726} }
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} }
3DIAS: 3D Shape Reconstruction With Implicit Algebraic Surfaces-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yavartanoo_2021_ICCV, author = {Yavartanoo, Mohsen and Chung, Jaeyoung and Neshatavar, Reyhaneh and Lee, Kyoung Mu}, title = {3DIAS: 3D Shape Reconstruction With Implicit Algebraic Surfaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12446-12455} }
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Qiao_2021_ICCV, author = {Qiao, Limeng and Zhao, Yuxuan and Li, Zhiyuan and Qiu, Xi and Wu, Jianan and Zhang, Chi}, title = {DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8681-8690} }
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} }
Aligning Latent and Image Spaces To Connect the Unconnectable-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Skorokhodov_2021_ICCV, author = {Skorokhodov, Ivan and Sotnikov, Grigorii and Elhoseiny, Mohamed}, title = {Aligning Latent and Image Spaces To Connect the Unconnectable}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14144-14153} }
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} }
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Wencan and Park, Jae Hyun and Ko, Jong Hwan}, title = {HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11260-11269} }
Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval-
[pdf]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Hui and Wang, Min and Zhou, Wengang and Li, Houqiang}, title = {Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11416-11425} }
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} }
Motion Prediction Using Trajectory Cues-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zhenguang and Su, Pengxiang and Wu, Shuang and Shen, Xuanjing and Chen, Haipeng and Hao, Yanbin and Wang, Meng}, title = {Motion Prediction Using Trajectory Cues}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13299-13308} }
Generalized Source-Free Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Shiqi and Wang, Yaxing and van de Weijer, Joost and Herranz, Luis and Jui, Shangling}, title = {Generalized Source-Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8978-8987} }
DisUnknown: Distilling Unknown Factors for Disentanglement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2021_ICCV, author = {Xiang, Sitao and Gu, Yuming and Xiang, Pengda and Chai, Menglei and Li, Hao and Zhao, Yajie and He, Mingming}, title = {DisUnknown: Distilling Unknown Factors for Disentanglement Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14810-14819} }
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} }
3D Building Reconstruction From Monocular Remote Sensing Images-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Weijia and Meng, Lingxuan and Wang, Jinwang and He, Conghui and Xia, Gui-Song and Lin, Dahua}, title = {3D Building Reconstruction From Monocular Remote Sensing Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12548-12557} }
Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring-
[pdf]
[bibtex]@InProceedings{Deng_2021_ICCV, author = {Deng, Senyou and Ren, Wenqi and Yan, Yanyang and Wang, Tao and Song, Fenglong and Cao, Xiaochun}, title = {Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14030-14039} }
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} }
ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ruta_2021_ICCV, author = {Ruta, Dan and Motiian, Saeid and Faieta, Baldo and Lin, Zhe and Jin, Hailin and Filipkowski, Alex and Gilbert, Andrew and Collomosse, John}, title = {ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11926-11935} }
Visio-Temporal Attention for Multi-Camera Multi-Target Association-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yu-Jhe and Weng, Xinshuo and Xu, Yan and Kitani, Kris M.}, title = {Visio-Temporal Attention for Multi-Camera Multi-Target Association}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9834-9844} }
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} }
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Xuan Son}, title = {GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13379-13389} }
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} }
SLAMP: Stochastic Latent Appearance and Motion Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Akan_2021_ICCV, author = {Akan, Adil Kaan and Erdem, Erkut and Erdem, Aykut and G\"uney, Fatma}, title = {SLAMP: Stochastic Latent Appearance and Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14728-14737} }
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} }
CPF: Learning a Contact Potential Field To Model the Hand-Object Interaction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Lixin and Zhan, Xinyu and Li, Kailin and Xu, Wenqiang and Li, Jiefeng and Lu, Cewu}, title = {CPF: Learning a Contact Potential Field To Model the Hand-Object Interaction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11097-11106} }
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} }
BiaSwap: Removing Dataset Bias With Bias-Tailored Swapping Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Eungyeup and Lee, Jihyeon and Choo, Jaegul}, title = {BiaSwap: Removing Dataset Bias With Bias-Tailored Swapping Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14992-15001} }
GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Bo and Li, Haoxiang and Kang, Hao and Hua, Gang and Vasconcelos, Nuno}, title = {GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8209-8218} }
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} }
PixelSynth: Generating a 3D-Consistent Experience From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rockwell_2021_ICCV, author = {Rockwell, Chris and Fouhey, David F. and Johnson, Justin}, title = {PixelSynth: Generating a 3D-Consistent Experience From a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14104-14113} }
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tretschk_2021_ICCV, author = {Tretschk, Edgar and Tewari, Ayush and Golyanik, Vladislav and Zollh\"ofer, Michael and Lassner, Christoph and Theobalt, Christian}, title = {Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12959-12970} }
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} }
Sketch2Mesh: Reconstructing and Editing 3D Shapes From Sketches-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guillard_2021_ICCV, author = {Guillard, Benoit and Remelli, Edoardo and Yvernay, Pierre and Fua, Pascal}, title = {Sketch2Mesh: Reconstructing and Editing 3D Shapes From Sketches}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13023-13032} }
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} }
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Yucheng and Wang, Guangting and Luo, Chong and Zeng, Wenjun and Zha, Zheng-Jun}, title = {Self-Supervised Visual Representations Learning by Contrastive Mask Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10160-10169} }
Personalized Image Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Yu and Zhang, Chang-Bin and Jiang, Peng-Tao and Cheng, Ming-Ming and Mao, Feng}, title = {Personalized Image Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10549-10559} }
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} }
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Hanwen and Zhang, Qiong and Dai, Peng and Lu, Juwei}, title = {Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9424-9434} }
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} }
StereOBJ-1M: Large-Scale Stereo Image Dataset for 6D Object Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Xingyu and Iwase, Shun and Kitani, Kris M.}, title = {StereOBJ-1M: Large-Scale Stereo Image Dataset for 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10870-10879} }
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} }
PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Yang and Zeng, Wangding and Zhao, Dafei and Zhang, Honggang}, title = {PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12899-12908} }
NPMs: Neural Parametric Models for 3D Deformable Shapes-
[pdf]
[supp]
[bibtex]@InProceedings{Palafox_2021_ICCV, author = {Palafox, Pablo and Bo\v{z}i\v{c}, Alja\v{z} and Thies, Justus and Nie{\ss}ner, Matthias and Dai, Angela}, title = {NPMs: Neural Parametric Models for 3D Deformable Shapes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12695-12705} }
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} }
Learning With Memory-Based Virtual Classes for Deep Metric Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ko_2021_ICCV, author = {Ko, Byungsoo and Gu, Geonmo and Kim, Han-Gyu}, title = {Learning With Memory-Based Virtual Classes for Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11792-11801} }
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Rui and Wang, Ronggang and Lai, Yawen and Tang, Luyang and Cai, Yangang}, title = {Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15560-15569} }
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} }
Interacting Two-Hand 3D Pose and Shape Reconstruction From Single Color Image-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Baowen and Wang, Yangang and Deng, Xiaoming and Zhang, Yinda and Tan, Ping and Ma, Cuixia and Wang, Hongan}, title = {Interacting Two-Hand 3D Pose and Shape Reconstruction From Single Color Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11354-11363} }
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} }
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2021_ICCV, author = {Ye, Fei and Bors, Adrian G.}, title = {Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10695-10704} }
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} }
The Power of Points for Modeling Humans in Clothing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Qianli and Yang, Jinlong and Tang, Siyu and Black, Michael J.}, title = {The Power of Points for Modeling Humans in Clothing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10974-10984} }
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} }
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Xiaofeng and Guo, Zhenhua and Li, Site and Xing, Fangxu and You, Jane and Kuo, C.-C. Jay and El Fakhri, Georges and Woo, Jonghye}, title = {Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10367-10376} }
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} }
Learning Cross-Modal Contrastive Features for Video Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Donghyun and Tsai, Yi-Hsuan and Zhuang, Bingbing and Yu, Xiang and Sclaroff, Stan and Saenko, Kate and Chandraker, Manmohan}, title = {Learning Cross-Modal Contrastive Features for Video Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13618-13627} }
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Yezhen and Li, Bo and Che, Tong and Zhou, Kaiyang and Liu, Ziwei and Li, Dongsheng}, title = {Energy-Based Open-World Uncertainty Modeling for Confidence Calibration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9302-9311} }
Sat2Vid: Street-View Panoramic Video Synthesis From a Single Satellite Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Zuoyue and Li, Zhenqiang and Cui, Zhaopeng and Qin, Rongjun and Pollefeys, Marc and Oswald, Martin R.}, title = {Sat2Vid: Street-View Panoramic Video Synthesis From a Single Satellite Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12436-12445} }
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization-
[pdf]
[bibtex]@InProceedings{Bai_2021_ICCV, author = {Bai, Haoyue and Zhou, Fengwei and Hong, Lanqing and Ye, Nanyang and Chan, S.-H. Gary and Li, Zhenguo}, title = {NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8320-8329} }
Hierarchical Aggregation for 3D Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shaoyu and Fang, Jiemin and Zhang, Qian and Liu, Wenyu and Wang, Xinggang}, title = {Hierarchical Aggregation for 3D Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15467-15476} }
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} }
A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2021_ICCV, author = {Yuan, Jianlong and Liu, Yifan and Shen, Chunhua and Wang, Zhibin and Li, Hao}, title = {A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8229-8238} }
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} }
Evidential Deep Learning for Open Set Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2021_ICCV, author = {Bao, Wentao and Yu, Qi and Kong, Yu}, title = {Evidential Deep Learning for Open Set Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13349-13358} }
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhuang_2021_ICCV, author = {Zhuang, Zhuangwei and Li, Rong and Jia, Kui and Wang, Qicheng and Li, Yuanqing and Tan, Mingkui}, title = {Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16280-16290} }
UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps-
[pdf]
[supp]
[bibtex]@InProceedings{Meltzer_2021_ICCV, author = {Meltzer, Peter and Shayani, Hooman and Khasahmadi, Amir and Jayaraman, Pradeep Kumar and Sanghi, Aditya and Lambourne, Joseph}, title = {UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9690-9699} }
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} }
Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Hyunjong and Lee, Sanghoon and Lee, Junghyup and Ham, Bumsub}, title = {Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12046-12055} }
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} }
MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jiaxin and Feng, Zijian and She, Qi and Ding, Henghui and Wang, Changhu and Lee, Gim Hee}, title = {MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12578-12588} }
LoFGAN: Fusing Local Representations for Few-Shot Image Generation-
[pdf]
[bibtex]@InProceedings{Gu_2021_ICCV, author = {Gu, Zheng and Li, Wenbin and Huo, Jing and Wang, Lei and Gao, Yang}, title = {LoFGAN: Fusing Local Representations for Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8463-8471} }
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} }
Rethinking the Truly Unsupervised Image-to-Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baek_2021_ICCV, author = {Baek, Kyungjune and Choi, Yunjey and Uh, Youngjung and Yoo, Jaejun and Shim, Hyunjung}, title = {Rethinking the Truly Unsupervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14154-14163} }
Point-Based Modeling of Human Clothing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zakharkin_2021_ICCV, author = {Zakharkin, Ilya and Mazur, Kirill and Grigorev, Artur and Lempitsky, Victor}, title = {Point-Based Modeling of Human Clothing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14718-14727} }
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} }
Sparse Needlets for Lighting Estimation With Spherical Transport Loss-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhan_2021_ICCV, author = {Zhan, Fangneng and Zhang, Changgong and Hu, Wenbo and Lu, Shijian and Ma, Feiying and Xie, Xuansong and Shao, Ling}, title = {Sparse Needlets for Lighting Estimation With Spherical Transport Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12830-12839} }
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} }
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ji_2021_ICCV, author = {Ji, Pan and Li, Runze and Bhanu, Bir and Xu, Yi}, title = {MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12787-12796} }
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Reizenstein_2021_ICCV, author = {Reizenstein, Jeremy and Shapovalov, Roman and Henzler, Philipp and Sbordone, Luca and Labatut, Patrick and Novotny, David}, title = {Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10901-10911} }
Reconstructing Hand-Object Interactions in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Zhe and Radosavovic, Ilija and Kanazawa, Angjoo and Malik, Jitendra}, title = {Reconstructing Hand-Object Interactions in the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12417-12426} }
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} }
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shin_2021_ICCV, author = {Shin, Inkyu and Kim, Dong-Jin and Cho, Jae Won and Woo, Sanghyun and Park, Kwanyong and Kweon, In So}, title = {LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8588-8598} }
SPEC: Seeing People in the Wild With an Estimated Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kocabas_2021_ICCV, author = {Kocabas, Muhammed and Huang, Chun-Hao P. and Tesch, Joachim and M\"uller, Lea and Hilliges, Otmar and Black, Michael J.}, title = {SPEC: Seeing People in the Wild With an Estimated Camera}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11035-11045} }
Binocular Mutual Learning for Improving Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Ziqi and Qiu, Xi and Xie, Jiangtao and Wu, Jianan and Zhang, Chi}, title = {Binocular Mutual Learning for Improving Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8402-8411} }
Distilling Holistic Knowledge With Graph Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Sheng and Wang, Yucheng and Chen, Defang and Chen, Jiawei and Wang, Xin and Wang, Can and Bu, Jiajun}, title = {Distilling Holistic Knowledge With Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10387-10396} }
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} }
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Van-Anh and Nguyen, Tuan and Le, Trung and Tran, Quan Hung and Phung, Dinh}, title = {STEM: An Approach to Multi-Source Domain Adaptation With Guarantees}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9352-9363} }
Divide and Contrast: Self-Supervised Learning From Uncurated Data-
[pdf]
[supp]
[bibtex]@InProceedings{Tian_2021_ICCV, author = {Tian, Yonglong and H\'enaff, Olivier J. and van den Oord, A\"aron}, title = {Divide and Contrast: Self-Supervised Learning From Uncurated Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10063-10074} }
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Shen_2021_ICCV, author = {Shen, Yunhang and Cao, Liujuan and Chen, Zhiwei and Zhang, Baochang and Su, Chi and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong}, title = {Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8198-8208} }
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} }
Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection-
[pdf]
[bibtex]@InProceedings{Tao_2021_ICCV, author = {Tao, Renshuai and Wei, Yanlu and Jiang, Xiangjian and Li, Hainan and Qin, Haotong and Wang, Jiakai and Ma, Yuqing and Zhang, Libo and Liu, Xianglong}, title = {Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10923-10932} }
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} }
THDA: Treasure Hunt Data Augmentation for Semantic Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Maksymets_2021_ICCV, author = {Maksymets, Oleksandr and Cartillier, Vincent and Gokaslan, Aaron and Wijmans, Erik and Galuba, Wojciech and Lee, Stefan and Batra, Dhruv}, title = {THDA: Treasure Hunt Data Augmentation for Semantic Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15374-15383} }
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} }
TransForensics: Image Forgery Localization With Dense Self-Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hao_2021_ICCV, author = {Hao, Jing and Zhang, Zhixin and Yang, Shicai and Xie, Di and Pu, Shiliang}, title = {TransForensics: Image Forgery Localization With Dense Self-Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15055-15064} }
Joint Audio-Visual Deepfake Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2021_ICCV, author = {Zhou, Yipin and Lim, Ser-Nam}, title = {Joint Audio-Visual Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14800-14809} }
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} }
Time-Equivariant Contrastive Video Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Jenni_2021_ICCV, author = {Jenni, Simon and Jin, Hailin}, title = {Time-Equivariant Contrastive Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9970-9980} }
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} }
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Size and Jin, Sheng and Liu, Wentao and Bai, Lei and Qian, Chen and Liu, Dong and Ouyang, Wanli}, title = {Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11148-11157} }
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} }
Multi-Anchor Active Domain Adaptation for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ning_2021_ICCV, author = {Ning, Munan and Lu, Donghuan and Wei, Dong and Bian, Cheng and Yuan, Chenglang and Yu, Shuang and Ma, Kai and Zheng, Yefeng}, title = {Multi-Anchor Active Domain Adaptation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9112-9122} }
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} }
PyMAF: 3D Human Pose and Shape Regression With Pyramidal Mesh Alignment Feedback Loop-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Hongwen and Tian, Yating and Zhou, Xinchi and Ouyang, Wanli and Liu, Yebin and Wang, Limin and Sun, Zhenan}, title = {PyMAF: 3D Human Pose and Shape Regression With Pyramidal Mesh Alignment Feedback Loop}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11446-11456} }
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} }
KoDF: A Large-Scale Korean DeepFake Detection Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kwon_2021_ICCV, author = {Kwon, Patrick and You, Jaeseong and Nam, Gyuhyeon and Park, Sungwoo and Chae, Gyeongsu}, title = {KoDF: A Large-Scale Korean DeepFake Detection Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10744-10753} }
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} }
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Howard-Jenkins_2021_ICCV, author = {Howard-Jenkins, Henry and Ruiz-Sarmiento, Jose-Raul and Prisacariu, Victor Adrian}, title = {LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10107-10116} }
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} }
Full-Velocity Radar Returns by Radar-Camera Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Long_2021_ICCV, author = {Long, Yunfei and Morris, Daniel and Liu, Xiaoming and Castro, Marcos and Chakravarty, Punarjay and Narayanan, Praveen}, title = {Full-Velocity Radar Returns by Radar-Camera Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16198-16207} }
Toward Realistic Single-View 3D Object Reconstruction With Unsupervised Learning From Multiple Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ho_2021_ICCV, author = {Ho, Long-Nhat and Tran, Anh Tuan and Phung, Quynh and Hoai, Minh}, title = {Toward Realistic Single-View 3D Object Reconstruction With Unsupervised Learning From Multiple Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12600-12610} }
MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Anpei and Xu, Zexiang and Zhao, Fuqiang and Zhang, Xiaoshuai and Xiang, Fanbo and Yu, Jingyi and Su, Hao}, title = {MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14124-14133} }
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-
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[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} }
Learning To Track With Object Permanence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tokmakov_2021_ICCV, author = {Tokmakov, Pavel and Li, Jie and Burgard, Wolfram and Gaidon, Adrien}, title = {Learning To Track With Object Permanence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10860-10869} }
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} }
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Luyu and Wang, Yan and Gao, Mingfei and Shrivastava, Abhinav and Weinberger, Kilian Q. and Chao, Wei-Lun and Lim, Ser-Nam}, title = {Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8906-8916} }
Dual Projection Generative Adversarial Networks for Conditional Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Ligong and Min, Martin Renqiang and Stathopoulos, Anastasis and Tian, Yu and Gao, Ruijiang and Kadav, Asim and Metaxas, Dimitris N.}, title = {Dual Projection Generative Adversarial Networks for Conditional Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14438-14447} }
EventHPE: Event-Based 3D Human Pose and Shape Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zou_2021_ICCV, author = {Zou, Shihao and Guo, Chuan and Zuo, Xinxin and Wang, Sen and Wang, Pengyu and Hu, Xiaoqin and Chen, Shoushun and Gong, Minglun and Cheng, Li}, title = {EventHPE: Event-Based 3D Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10996-11005} }
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} }
CTRL-C: Camera Calibration TRansformer With Line-Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Jinwoo and Go, Hyunsung and Lee, Hyunjoon and Cho, Sunghyun and Sung, Minhyuk and Kim, Junho}, title = {CTRL-C: Camera Calibration TRansformer With Line-Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16228-16237} }
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} }
TransPose: Keypoint Localization via Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Sen and Quan, Zhibin and Nie, Mu and Yang, Wankou}, title = {TransPose: Keypoint Localization via Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11802-11812} }
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Aming and Liu, Rui and Han, Yahong and Zhu, Linchao and Yang, Yi}, title = {Vector-Decomposed Disentanglement for Domain-Invariant Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9342-9351} }
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} }
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Yongxing and Liu, Jun and Sun, Yifan and Tong, Zekun and Zhang, Chi and Duan, Ling-Yu}, title = {IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11864-11874} }
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization-
[pdf]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Peng and Lao, Yingjie and Li, Ping}, title = {Robust Watermarking for Deep Neural Networks via Bi-Level Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14841-14850} }
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} }
Video Annotation for Visual Tracking via Selection and Refinement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Kenan and Zhao, Jie and Wang, Lijun and Wang, Dong and Li, Jianhua and Lu, Huchuan and Qian, Xuesheng and Yang, Xiaoyun}, title = {Video Annotation for Visual Tracking via Selection and Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10296-10305} }
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Yujun and Wang, Yiwei and Zhu, Yiheng and Cham, Tat-Jen and Cai, Jianfei and Yuan, Junsong and Liu, Jun and Zheng, Chuanxia and Yan, Sijie and Ding, Henghui and Shen, Xiaohui and Liu, Ding and Thalmann, Nadia Magnenat}, title = {A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11645-11655} }
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} }
Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2021_ICCV, author = {Ren, Xuanchi and Yang, Tao and Li, Li Erran and Alahi, Alexandre and Chen, Qifeng}, title = {Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15731-15740} }
Mesh Graphormer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2021_ICCV, author = {Lin, Kevin and Wang, Lijuan and Liu, Zicheng}, title = {Mesh Graphormer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12939-12948} }
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} }
Elaborative Rehearsal for Zero-Shot Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Shizhe and Huang, Dong}, title = {Elaborative Rehearsal for Zero-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13638-13647} }
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Kang_2021_ICCV, author = {Kang, Hyolim and Kim, Kyungmin and Ko, Yumin and Kim, Seon Joo}, title = {CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13729-13738} }
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} }
Towards Interpretable Deep Metric Learning With Structural Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Wenliang and Rao, Yongming and Wang, Ziyi and Lu, Jiwen and Zhou, Jie}, title = {Towards Interpretable Deep Metric Learning With Structural Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9887-9896} }
Weakly Supervised Text-Based Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Shizhen and Gao, Changxin and Shao, Yuanjie and Zheng, Wei-Shi and Sang, Nong}, title = {Weakly Supervised Text-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11395-11404} }
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} }
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Scott_2021_ICCV, author = {Scott, Tyler R. and Gallagher, Andrew C. and Mozer, Michael C.}, title = {von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10612-10622} }
Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Song and Chun, Sanghyuk and Cha, Junbum and Lee, Bado and Shim, Hyunjung}, title = {Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13900-13909} }
Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data-
[pdf]
[supp]
[bibtex]@InProceedings{Bai_2021_ICCV, author = {Bai, Yingbin and Liu, Tongliang}, title = {Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9312-9321} }
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gong_2021_ICCV, author = {Gong, Rui and Dai, Dengxin and Chen, Yuhua and Li, Wen and Van Gool, Luc}, title = {mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8876-8885} }
Collaging Class-Specific GANs for Semantic Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yuheng and Li, Yijun and Lu, Jingwan and Shechtman, Eli and Lee, Yong Jae and Singh, Krishna Kumar}, title = {Collaging Class-Specific GANs for Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14418-14427} }
Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Chi and Ding, Henghui and Lin, Guosheng and Li, Ruibo and Wang, Changhu and Shen, Chunhua}, title = {Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9435-9444} }
Occlusion-Aware Video Object Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ke_2021_ICCV, author = {Ke, Lei and Tai, Yu-Wing and Tang, Chi-Keung}, title = {Occlusion-Aware Video Object Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14468-14478} }
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} }
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Warburg_2021_ICCV, author = {Warburg, Frederik and J{\o}rgensen, Martin and Civera, Javier and Hauberg, S{\o}ren}, title = {Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12158-12168} }
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} }
AutoFormer: Searching Transformers for Visual Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Minghao and Peng, Houwen and Fu, Jianlong and Ling, Haibin}, title = {AutoFormer: Searching Transformers for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12270-12280} }
Mining Latent Classes for Few-Shot Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Lihe and Zhuo, Wei and Qi, Lei and Shi, Yinghuan and Gao, Yang}, title = {Mining Latent Classes for Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8721-8730} }
Active Learning for Deep Object Detection via Probabilistic Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2021_ICCV, author = {Choi, Jiwoong and Elezi, Ismail and Lee, Hyuk-Jae and Farabet, Clement and Alvarez, Jose M.}, title = {Active Learning for Deep Object Detection via Probabilistic Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10264-10273} }
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Peixian and Liu, Wenfeng and Dai, Pingyang and Liu, Jianzhuang and Ye, Qixiang and Xu, Mingliang and Chen, Qi{\textquoteright}an and Ji, Rongrong}, title = {Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11833-11842} }
Towards Accurate Alignment in Real-Time 3D Hand-Mesh Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Xiao and Wang, Tianyu and Fu, Chi-Wing}, title = {Towards Accurate Alignment in Real-Time 3D Hand-Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11698-11707} }
Searching for Controllable Image Restoration Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2021_ICCV, author = {Kim, Heewon and Baik, Sungyong and Choi, Myungsub and Choi, Janghoon and Lee, Kyoung Mu}, title = {Searching for Controllable Image Restoration Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14234-14243} }
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} }
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment-
[pdf]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ruixing and Xu, Xiaogang and Fu, Chi-Wing and Lu, Jiangbo and Yu, Bei and Jia, Jiaya}, title = {Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9700-9709} }
AdvRush: Searching for Adversarially Robust Neural Architectures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mok_2021_ICCV, author = {Mok, Jisoo and Na, Byunggook and Choe, Hyeokjun and Yoon, Sungroh}, title = {AdvRush: Searching for Adversarially Robust Neural Architectures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12322-12332} }
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} }
Mean Shift for Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Koohpayegani_2021_ICCV, author = {Koohpayegani, Soroush Abbasi and Tejankar, Ajinkya and Pirsiavash, Hamed}, title = {Mean Shift for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10326-10335} }
Speech Drives Templates: Co-Speech Gesture Synthesis With Learned Templates-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qian_2021_ICCV, author = {Qian, Shenhan and Tu, Zhi and Zhi, Yihao and Liu, Wen and Gao, Shenghua}, title = {Speech Drives Templates: Co-Speech Gesture Synthesis With Learned Templates}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11077-11086} }
Improving Robustness Against Common Corruptions With Frequency Biased Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saikia_2021_ICCV, author = {Saikia, Tonmoy and Schmid, Cordelia and Brox, Thomas}, title = {Improving Robustness Against Common Corruptions With Frequency Biased Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10211-10220} }
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} }
HuMoR: 3D Human Motion Model for Robust Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rempe_2021_ICCV, author = {Rempe, Davis and Birdal, Tolga and Hertzmann, Aaron and Yang, Jimei and Sridhar, Srinath and Guibas, Leonidas J.}, title = {HuMoR: 3D Human Motion Model for Robust Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11488-11499} }
Class Semantics-Based Attention for Action Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sridhar_2021_ICCV, author = {Sridhar, Deepak and Quader, Niamul and Muralidharan, Srikanth and Li, Yaoxin and Dai, Peng and Lu, Juwei}, title = {Class Semantics-Based Attention for Action Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13739-13748} }
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} }
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yixuan and Chen, Lei and He, Runyu and Wang, Zhenzhi and Wu, Gangshan and Wang, Limin}, title = {MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13536-13545} }
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Besnier_2021_ICCV, author = {Besnier, Victor and Bursuc, Andrei and Picard, David and Briot, Alexandre}, title = {Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15701-15710} }
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration-
[pdf]
[supp]
[bibtex]@InProceedings{Seifi_2021_ICCV, author = {Seifi, Soroush and Jha, Abhishek and Tuytelaars, Tinne}, title = {Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16137-16146} }
Field Convolutions for Surface CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mitchel_2021_ICCV, author = {Mitchel, Thomas W. and Kim, Vladimir G. and Kazhdan, Michael}, title = {Field Convolutions for Surface CNNs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10001-10011} }
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Landgraf_2021_ICCV, author = {Landgraf, Zoe and Scona, Raluca and Laidlow, Tristan and James, Stephen and Leutenegger, Stefan and Davison, Andrew J.}, title = {SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13012-13022} }
Weakly Supervised Person Search With Region Siamese Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2021_ICCV, author = {Han, Chuchu and Su, Kai and Yu, Dongdong and Yuan, Zehuan and Gao, Changxin and Sang, Nong and Yang, Yi and Wang, Changhu}, title = {Weakly Supervised Person Search With Region Siamese Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12006-12015} }
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} }
Pose Invariant Topological Memory for Visual Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Taniguchi_2021_ICCV, author = {Taniguchi, Asuto and Sasaki, Fumihiro and Yamashina, Ryota}, title = {Pose Invariant Topological Memory for Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15384-15393} }
Shape Self-Correction for Unsupervised Point Cloud Understanding-
[pdf]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Ye and Liu, Jinxian and Ni, Bingbing and Wang, Hang and Yang, Jiancheng and Liu, Ning and Li, Teng and Tian, Qi}, title = {Shape Self-Correction for Unsupervised Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8382-8391} }
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} }
Dissecting Image Crops-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Van_Hoorick_2021_ICCV, author = {Van Hoorick, Basile and Vondrick, Carl}, title = {Dissecting Image Crops}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9741-9750} }
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} }
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2021_ICCV, author = {Jung, Sanghun and Lee, Jungsoo and Gwak, Daehoon and Choi, Sungha and Choo, Jaegul}, title = {Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15425-15434} }
SIGNET: Efficient Neural Representation for Light Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2021_ICCV, author = {Feng, Brandon Yushan and Varshney, Amitabh}, title = {SIGNET: Efficient Neural Representation for Light Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14224-14233} }
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} }
Understanding and Evaluating Racial Biases in Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2021_ICCV, author = {Zhao, Dora and Wang, Angelina and Russakovsky, Olga}, title = {Understanding and Evaluating Racial Biases in Image Captioning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14830-14840} }
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} }
Learning an Augmented RGB Representation With Cross-Modal Knowledge Distillation for Action Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2021_ICCV, author = {Dai, Rui and Das, Srijan and Bremond, Fran\c{c}ois}, title = {Learning an Augmented RGB Representation With Cross-Modal Knowledge Distillation for Action Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13053-13064} }
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Shichen and Zhou, Yichao and Zhao, Yajie}, title = {VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12859-12868} }
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} }
Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{De_Lange_2021_ICCV, author = {De Lange, Matthias and Tuytelaars, Tinne}, title = {Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8250-8259} }
Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lazarou_2021_ICCV, author = {Lazarou, Michalis and Stathaki, Tania and Avrithis, Yannis}, title = {Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8751-8760} }
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} }
Few-Shot and Continual Learning With Attentive Independent Mechanisms-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2021_ICCV, author = {Lee, Eugene and Huang, Cheng-Han and Lee, Chen-Yi}, title = {Few-Shot and Continual Learning With Attentive Independent Mechanisms}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9455-9464} }
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Junkai and Fang, Chaowei and Chen, Weikai and Chai, Zhenhua and Wei, Xiaolin and Wei, Pengxu and Lin, Liang and Li, Guanbin}, title = {Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8310-8319} }
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} }
Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Kun and Zhang, Zhenyu and Yan, Zhiqiang and Li, Xiang and Xu, Baobei and Li, Jun and Yang, Jian}, title = {Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16055-16064} }
Occluded Person Re-Identification With Single-Scale Global Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2021_ICCV, author = {Yan, Cheng and Pang, Guansong and Jiao, Jile and Bai, Xiao and Feng, Xuetao and Shen, Chunhua}, title = {Occluded Person Re-Identification With Single-Scale Global Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11875-11884} }
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} }
Towards Novel Target Discovery Through Open-Set Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jing_2021_ICCV, author = {Jing, Taotao and Liu, Hongfu and Ding, Zhengming}, title = {Towards Novel Target Discovery Through Open-Set Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9322-9331} }
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} }
BioFors: A Large Biomedical Image Forensics Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sabir_2021_ICCV, author = {Sabir, Ekraam and Nandi, Soumyaroop and Abd-Almageed, Wael and Natarajan, Prem}, title = {BioFors: A Large Biomedical Image Forensics Dataset}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10963-10973} }
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} }
Structure-Transformed Texture-Enhanced Network for Person Image Synthesis-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Munan and Chen, Yuanqi and Liu, Shan and Li, Thomas H. and Li, Ge}, title = {Structure-Transformed Texture-Enhanced Network for Person Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13859-13868} }
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} }
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Jiachen and Yang, Fan and Ma, Hengbo and Malla, Srikanth and Tomizuka, Masayoshi and Choi, Chiho}, title = {RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16096-16106} }
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} }
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Zongdai and Zhou, Dingfu and Lu, Feixiang and Fang, Jin and Zhang, Liangjun}, title = {AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15641-15650} }
Coarsely-Labeled Data for Better Few-Shot Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Phoo_2021_ICCV, author = {Phoo, Cheng Perng and Hariharan, Bharath}, title = {Coarsely-Labeled Data for Better Few-Shot Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9052-9061} }
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saito_2021_ICCV, author = {Saito, Kuniaki and Kim, Donghyun and Teterwak, Piotr and Sclaroff, Stan and Darrell, Trevor and Saenko, Kate}, title = {Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9184-9193} }
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} }
Emerging Properties in Self-Supervised Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Caron_2021_ICCV, author = {Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J\'egou, Herv\'e and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand}, title = {Emerging Properties in Self-Supervised Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9650-9660} }
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Congcong and Li, Xiaoqiang and Li, Jide and Dai, Songmin}, title = {Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11751-11760} }
DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Cheng and Cui, Zhaopeng and Chen, Cai and Liu, Shuaicheng and Zeng, Bing and Bao, Hujun and Zhang, Yinda}, title = {DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12632-12641} }
Multi-View Radar Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Ouaknine_2021_ICCV, author = {Ouaknine, Arthur and Newson, Alasdair and P\'erez, Patrick and Tupin, Florence and Rebut, Julien}, title = {Multi-View Radar Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15671-15680} }
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2021_ICCV, author = {Yang, Jinyu and Li, Chunyuan and An, Weizhi and Ma, Hehuan and Guo, Yuzhi and Rong, Yu and Zhao, Peilin and Huang, Junzhou}, title = {Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9194-9203} }
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} }
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces-
[pdf]
[bibtex]@InProceedings{Cheraghian_2021_ICCV, author = {Cheraghian, Ali and Rahman, Shafin and Ramasinghe, Sameera and Fang, Pengfei and Simon, Christian and Petersson, Lars and Harandi, Mehrtash}, title = {Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8661-8670} }
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} }
Efficient and Differentiable Shadow Computation for Inverse Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lyu_2021_ICCV, author = {Lyu, Linjie and Habermann, Marc and Liu, Lingjie and R, Mallikarjun B and Tewari, Ayush and Theobalt, Christian}, title = {Efficient and Differentiable Shadow Computation for Inverse Problems}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13107-13116} }
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2021_ICCV, author = {Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario}, title = {Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14448-14457} }
TokenPose: Learning Keypoint Tokens for Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Yanjie and Zhang, Shoukui and Wang, Zhicheng and Yang, Sen and Yang, Wankou and Xia, Shu-Tao and Zhou, Erjin}, title = {TokenPose: Learning Keypoint Tokens for Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11313-11322} }
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} }
Task Switching Network for Multi-Task Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2021_ICCV, author = {Sun, Guolei and Probst, Thomas and Paudel, Danda Pani and Popovi\'c, Nikola and Kanakis, Menelaos and Patel, Jagruti and Dai, Dengxin and Van Gool, Luc}, title = {Task Switching Network for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8291-8300} }
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations-
[pdf]
[supp]
[bibtex]@InProceedings{Huynh_2021_ICCV, author = {Huynh, Dat and Elhamifar, Ehsan}, title = {Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8472-8483} }
Unsupervised Point Cloud Pre-Training via Occlusion Completion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Hanchen and Liu, Qi and Yue, Xiangyu and Lasenby, Joan and Kusner, Matt J.}, title = {Unsupervised Point Cloud Pre-Training via Occlusion Completion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9782-9792} }
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} }
Towards Vivid and Diverse Image Colorization With Generative Color Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2021_ICCV, author = {Wu, Yanze and Wang, Xintao and Li, Yu and Zhang, Honglun and Zhao, Xun and Shan, Ying}, title = {Towards Vivid and Diverse Image Colorization With Generative Color Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14377-14386} }
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} }
The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rambhatla_2021_ICCV, author = {Rambhatla, Sai Saketh and Chellappa, Rama and Shrivastava, Abhinav}, title = {The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9153-9163} }
Unconditional Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Garg_2021_ICCV, author = {Garg, Sarthak and Dhamo, Helisa and Farshad, Azade and Musatian, Sabrina and Navab, Nassir and Tombari, Federico}, title = {Unconditional Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16362-16371} }
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} }
Gait Recognition in the Wild: A Benchmark-
[pdf]
[bibtex]@InProceedings{Zhu_2021_ICCV, author = {Zhu, Zheng and Guo, Xianda and Yang, Tian and Huang, Junjie and Deng, Jiankang and Huang, Guan and Du, Dalong and Lu, Jiwen and Zhou, Jie}, title = {Gait Recognition in the Wild: A Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14789-14799} }
Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images-
[pdf]
[supp]
[bibtex]@InProceedings{Can_2021_ICCV, author = {Can, Yigit Baran and Liniger, Alexander and Paudel, Danda Pani and Van Gool, Luc}, title = {Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15661-15670} }
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?-
[pdf]
[supp]
[bibtex]@InProceedings{Fabbri_2021_ICCV, author = {Fabbri, Matteo and Bras\'o, Guillem and Maugeri, Gianluca and Cetintas, Orcun and Gasparini, Riccardo and O\v{s}ep, Aljo\v{s}a and Calderara, Simone and Leal-Taix\'e, Laura and Cucchiara, Rita}, title = {MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10849-10859} }
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stekovic_2021_ICCV, author = {Stekovic, Sinisa and Rad, Mahdi and Fraundorfer, Friedrich and Lepetit, Vincent}, title = {MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {16034-16043} }
Relaxed Transformer Decoders for Direct Action Proposal Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2021_ICCV, author = {Tan, Jing and Tang, Jiaqi and Wang, Limin and Wu, Gangshan}, title = {Relaxed Transformer Decoders for Direct Action Proposal Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13526-13535} }
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations-
[pdf]
[supp]
[bibtex]@InProceedings{Narayan_2021_ICCV, author = {Narayan, Sanath and Cholakkal, Hisham and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan and Shao, Ling}, title = {D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13608-13617} }
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} }
Localized Simple Multiple Kernel K-Means-
[pdf]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Xinwang and Zhou, Sihang and Liu, Li and Tang, Chang and Wang, Siwei and Liu, Jiyuan and Zhang, Yi}, title = {Localized Simple Multiple Kernel K-Means}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9293-9301} }
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} }
PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2021_ICCV, author = {Pan, Chenbin and Velipasalar, Senem}, title = {PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11996-12005} }
In-Place Scene Labelling and Understanding With Implicit Scene Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhi_2021_ICCV, author = {Zhi, Shuaifeng and Laidlow, Tristan and Leutenegger, Stefan and Davison, Andrew J.}, title = {In-Place Scene Labelling and Understanding With Implicit Scene Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15838-15847} }
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} }
Mixture-Based Feature Space Learning for Few-Shot Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Afrasiyabi_2021_ICCV, author = {Afrasiyabi, Arman and Lalonde, Jean-Fran\c{c}ois and Gagn\'e, Christian}, title = {Mixture-Based Feature Space Learning for Few-Shot Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9041-9051} }
Learning a Sketch Tensor Space for Image Inpainting of Man-Made Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2021_ICCV, author = {Cao, Chenjie and Fu, Yanwei}, title = {Learning a Sketch Tensor Space for Image Inpainting of Man-Made Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14509-14518} }
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} }
Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2021_ICCV, author = {Ren, Min and He, Lingxiao and Liao, Xingyu and Liu, Wu and Wang, Yunlong and Tan, Tieniu}, title = {Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14930-14939} }
EgoRenderer: Rendering Human Avatars From Egocentric Camera Images-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Tao and Sarkar, Kripasindhu and Liu, Lingjie and Zwicker, Matthias and Theobalt, Christian}, title = {EgoRenderer: Rendering Human Avatars From Egocentric Camera Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14528-14538} }
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} }
Visual Graph Memory With Unsupervised Representation for Visual Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Kwon_2021_ICCV, author = {Kwon, Obin and Kim, Nuri and Choi, Yunho and Yoo, Hwiyeon and Park, Jeongho and Oh, Songhwai}, title = {Visual Graph Memory With Unsupervised Representation for Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15890-15899} }
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Schon_2021_ICCV, author = {Sch\"on, Markus and Buchholz, Michael and Dietmayer, Klaus}, title = {MGNet: Monocular Geometric Scene Understanding for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15804-15815} }
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} }
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Van_Gansbeke_2021_ICCV, author = {Van Gansbeke, Wouter and Vandenhende, Simon and Georgoulis, Stamatios and Van Gool, Luc}, title = {Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10052-10062} }
Graph Contrastive Clustering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2021_ICCV, author = {Zhong, Huasong and Wu, Jianlong and Chen, Chong and Huang, Jianqiang and Deng, Minghua and Nie, Liqiang and Lin, Zhouchen and Hua, Xian-Sheng}, title = {Graph Contrastive Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9224-9233} }
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} }
Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Man and Gao, Huanhuan and Zhao, Guangshe and Wang, Dingheng and Lin, Yihan and Yang, Zhaoxu and Li, Guoqi}, title = {Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10221-10230} }
Encoder-Decoder With Multi-Level Attention for 3D Human Shape and Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wan_2021_ICCV, author = {Wan, Ziniu and Li, Zhengjia and Tian, Maoqing and Liu, Jianbo and Yi, Shuai and Li, Hongsheng}, title = {Encoder-Decoder With Multi-Level Attention for 3D Human Shape and Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13033-13042} }
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} }
Transductive Few-Shot Classification on the Oblique Manifold-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2021_ICCV, author = {Qi, Guodong and Yu, Huimin and Lu, Zhaohui and Li, Shuzhao}, title = {Transductive Few-Shot Classification on the Oblique Manifold}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8412-8422} }
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} }
The Animation Transformer: Visual Correspondence via Segment Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Casey_2021_ICCV, author = {Casey, Evan and P\'erez, V{\'\i}ctor and Li, Zhuoru}, title = {The Animation Transformer: Visual Correspondence via Segment Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11323-11332} }
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} }
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Shichao and Wang, Lixu and Wang, Yixuan and Zhu, Qi}, title = {Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8917-8926} }
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2021_ICCV, author = {Chang, Kai-Hung and Cheng, Chin-Yi and Luo, Jieliang and Murata, Shingo and Nourbakhsh, Mehdi and Tsuji, Yoshito}, title = {Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11956-11965} }
Scribble-Supervised Semantic Segmentation Inference-
[pdf]
[bibtex]@InProceedings{Xu_2021_ICCV, author = {Xu, Jingshan and Zhou, Chuanwei and Cui, Zhen and Xu, Chunyan and Huang, Yuge and Shen, Pengcheng and Li, Shaoxin and Yang, Jian}, title = {Scribble-Supervised Semantic Segmentation Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15354-15363} }
Improve Unsupervised Pretraining for Few-Label Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Suichan and Chen, Dongdong and Chen, Yinpeng and Yuan, Lu and Zhang, Lei and Chu, Qi and Liu, Bin and Yu, Nenghai}, title = {Improve Unsupervised Pretraining for Few-Label Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10201-10210} }
Image Inpainting via Conditional Texture and Structure Dual Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2021_ICCV, author = {Guo, Xiefan and Yang, Hongyu and Huang, Di}, title = {Image Inpainting via Conditional Texture and Structure Dual Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14134-14143} }
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} }
Robustness and Generalization via Generative Adversarial Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poursaeed_2021_ICCV, author = {Poursaeed, Omid and Jiang, Tianxing and Yang, Harry and Belongie, Serge and Lim, Ser-Nam}, title = {Robustness and Generalization via Generative Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15711-15720} }
Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2021_ICCV, author = {Liu, Li and Huang, Qingle and Lin, Sihao and Xie, Hongwei and Wang, Bing and Chang, Xiaojun and Liang, Xiaodan}, title = {Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8271-8280} }
Class-Incremental Learning for Action Recognition in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Park_2021_ICCV, author = {Park, Jaeyoo and Kang, Minsoo and Han, Bohyung}, title = {Class-Incremental Learning for Action Recognition in Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13698-13707} }
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} }
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Patrick_2021_ICCV, author = {Patrick, Mandela and Huang, Po-Yao and Misra, Ishan and Metze, Florian and Vedaldi, Andrea and Asano, Yuki M. and Henriques, Jo\~ao F.}, title = {Space-Time Crop \& Attend: Improving Cross-Modal Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10560-10572} }
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2021_ICCV, author = {Huang, Jiaxing and Guan, Dayan and Xiao, Aoran and Lu, Shijian}, title = {RDA: Robust Domain Adaptation via Fourier Adversarial Attacking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8988-8999} }
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} }
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Ronghang and Ravi, Nikhila and Berg, Alexander C. and Pathak, Deepak}, title = {Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis From a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12528-12537} }
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kuo_2021_ICCV, author = {Kuo, Weicheng and Angelova, Anelia and Lin, Tsung-Yi and Dai, Angela}, title = {Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12589-12599} }
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} }
Motion Adaptive Pose Estimation From Compressed Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2021_ICCV, author = {Fan, Zhipeng and Liu, Jun and Wang, Yao}, title = {Motion Adaptive Pose Estimation From Compressed Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11719-11728} }
Learning Motion Priors for 4D Human Body Capture in 3D Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Siwei and Zhang, Yan and Bogo, Federica and Pollefeys, Marc and Tang, Siyu}, title = {Learning Motion Priors for 4D Human Body Capture in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {11343-11353} }
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} }
Face Image Retrieval With Attribute Manipulation-
[pdf]
[supp]
[bibtex]@InProceedings{Zaeemzadeh_2021_ICCV, author = {Zaeemzadeh, Alireza and Ghadar, Shabnam and Faieta, Baldo and Lin, Zhe and Rahnavard, Nazanin and Shah, Mubarak and Kalarot, Ratheesh}, title = {Face Image Retrieval With Attribute Manipulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12116-12125} }
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} }
Weakly Supervised Contrastive Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2021_ICCV, author = {Zheng, Mingkai and Wang, Fei and You, Shan and Qian, Chen and Zhang, Changshui and Wang, Xiaogang and Xu, Chang}, title = {Weakly Supervised Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10042-10051} }
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Baur_2021_ICCV, author = {Baur, Stefan Andreas and Emmerichs, David Josef and Moosmann, Frank and Pinggera, Peter and Ommer, Bj\"orn and Geiger, Andreas}, title = {SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13126-13136} }
Likelihood-Based Diverse Sampling for Trajectory Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Yecheng Jason and Inala, Jeevana Priya and Jayaraman, Dinesh and Bastani, Osbert}, title = {Likelihood-Based Diverse Sampling for Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13279-13288} }
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} }
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2021_ICCV, author = {Wang, Ruochen and Chen, Xiangning and Cheng, Minhao and Tang, Xiaocheng and Hsieh, Cho-Jui}, title = {RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10377-10386} }
Dual Path Learning for Domain Adaptation of Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2021_ICCV, author = {Cheng, Yiting and Wei, Fangyun and Bao, Jianmin and Chen, Dong and Wen, Fang and Zhang, Wenqiang}, title = {Dual Path Learning for Domain Adaptation of Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9082-9091} }
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} }
A Simple Feature Augmentation for Domain Generalization-
[pdf]
[bibtex]@InProceedings{Li_2021_ICCV, author = {Li, Pan and Li, Da and Li, Wei and Gong, Shaogang and Fu, Yanwei and Hospedales, Timothy M.}, title = {A Simple Feature Augmentation for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8886-8895} }
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} }
Geometry-Based Distance Decomposition for Monocular 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Xuepeng and Ye, Qi and Chen, Xiaozhi and Chen, Chuangrong and Chen, Zhixiang and Kim, Tae-Kyun}, title = {Geometry-Based Distance Decomposition for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15172-15181} }
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} }
Human Trajectory Prediction via Counterfactual Analysis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Guangyi and Li, Junlong and Lu, Jiwen and Zhou, Jie}, title = {Human Trajectory Prediction via Counterfactual Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {9824-9833} }
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} }
Anticipative Video Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Girdhar_2021_ICCV, author = {Girdhar, Rohit and Grauman, Kristen}, title = {Anticipative Video Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13505-13515} }
Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jia_2021_ICCV, author = {Jia, Zhiwei and Yuan, Bodi and Wang, Kangkang and Wu, Hong and Clifford, David and Yuan, Zhiqiang and Su, Hao}, title = {Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14273-14283} }
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} }
Waypoint Models for Instruction-Guided Navigation in Continuous Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Krantz_2021_ICCV, author = {Krantz, Jacob and Gokaslan, Aaron and Batra, Dhruv and Lee, Stefan and Maksymets, Oleksandr}, title = {Waypoint Models for Instruction-Guided Navigation in Continuous Environments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15162-15171} }
Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Levi_2021_ICCV, author = {Levi, Elad and Xiao, Tete and Wang, Xiaolong and Darrell, Trevor}, title = {Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10316-10325} }
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} }
BabelCalib: A Universal Approach to Calibrating Central Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lochman_2021_ICCV, author = {Lochman, Yaroslava and Liepieshov, Kostiantyn and Chen, Jianhui and Perdoch, Michal and Zach, Christopher and Pritts, James}, title = {BabelCalib: A Universal Approach to Calibrating Central Cameras}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15253-15262} }
Curious Representation Learning for Embodied Intelligence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2021_ICCV, author = {Du, Yilun and Gan, Chuang and Isola, Phillip}, title = {Curious Representation Learning for Embodied Intelligence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {10408-10417} }
Multi-Modal Multi-Action Video Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2021_ICCV, author = {Shi, Zhensheng and Liang, Ju and Li, Qianqian and Zheng, Haiyong and Gu, Zhaorui and Dong, Junyu and Zheng, Bing}, title = {Multi-Modal Multi-Action Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13678-13687} }
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} }
Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Alonso_2021_ICCV, author = {Alonso, I\~nigo and Sabater, Alberto and Ferstl, David and Montesano, Luis and Murillo, Ana C.}, title = {Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {8219-8228} }
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zhejun and Liniger, Alexander and Dai, Dengxin and Yu, Fisher and Van Gool, Luc}, title = {End-to-End Urban Driving by Imitating a Reinforcement Learning Coach}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15222-15232} }
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} }
Active Learning for Lane Detection: A Knowledge Distillation Approach-
[pdf]
[supp]
[bibtex]@InProceedings{Peng_2021_ICCV, author = {Peng, Fengchao and Wang, Chao and Liu, Jianzhuang and Yang, Zhen}, title = {Active Learning for Lane Detection: A Knowledge Distillation Approach}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {15152-15161} }
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} }
Learn To Match: Automatic Matching Network Design for Visual Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Zhipeng and Liu, Yihao and Wang, Xiao and Li, Bing and Hu, Weiming}, title = {Learn To Match: Automatic Matching Network Design for Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {13339-13348} }
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} }
Internal Video Inpainting by Implicit Long-Range Propagation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ouyang_2021_ICCV, author = {Ouyang, Hao and Wang, Tengfei and Chen, Qifeng}, title = {Internal Video Inpainting by Implicit Long-Range Propagation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {14579-14588} }
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