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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching-
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[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} }
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} }
StructDepth: Leveraging the Structural Regularities for Self-Supervised Indoor Depth Estimation-
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[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} }
LSG-CPD: Coherent Point Drift With Local Surface Geometry for Point Cloud Registration-
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[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-
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[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-
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[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} }
Support-Set Based Cross-Supervision for Video Grounding-
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[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} }
Voxel-Based Network for Shape Completion by Leveraging Edge Generation-
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[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-
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[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} }
Instance-Level Image Retrieval Using Reranking Transformers-
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[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} }
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform-
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[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} }
Learning To Stylize Novel Views-
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[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} }
Region-Aware Contrastive Learning for Semantic Segmentation-
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[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} }
Self-Supervised Real-to-Sim Scene Generation-
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[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-
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[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-
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[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-
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[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} }
Sketch Your Own GAN-
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[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} }
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis-
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[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-
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[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-
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[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} }
R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating-
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[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-
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[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} }
End-to-End Detection and Pose Estimation of Two Interacting Hands-
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[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-
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[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-
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[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} }
Joint Inductive and Transductive Learning for Video Object Segmentation-
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[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} }
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning-
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[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-
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[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-
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[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} }
Geometry-Free View Synthesis: Transformers and No 3D Priors-
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[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} }
Salient Object Ranking With Position-Preserved Attention-
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[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} }
DetCo: Unsupervised Contrastive Learning for Object Detection-
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[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} }
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} }
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} }
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} }
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} }
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference-
[pdf]
[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} }
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} }
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} }
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} }
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions-
[pdf]
[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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions-
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[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} }
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} }
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} }
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-
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[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} }
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} }
Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images-
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[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} }
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} }
Diverse Image Style Transfer via Invertible Cross-Space Mapping-
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[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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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 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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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 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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
Testing Using Privileged Information by Adapting Features With Statistical Dependence-
[pdf]
[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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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 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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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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