Papers
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Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation-
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[bibtex]@InProceedings{Gao_2023_ICCV, author = {Gao, Zhiqiang and Huang, Kaizhu and Zhang, Rui and Liu, Dawei and Ma, Jieming}, title = {Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18882-18893} }
TALL: Thumbnail Layout for Deepfake Video Detection-
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[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Yuting and Liang, Jian and Jia, Gengyun and Yang, Ziming and Zhang, Yanhao and He, Ran}, title = {TALL: Thumbnail Layout for Deepfake Video Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22658-22668} }
Bidirectional Alignment for Domain Adaptive Detection with Transformers-
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[bibtex]@InProceedings{He_2023_ICCV, author = {He, Liqiang and Wang, Wei and Chen, Albert and Sun, Min and Kuo, Cheng-Hao and Todorovic, Sinisa}, title = {Bidirectional Alignment for Domain Adaptive Detection with Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18775-18785} }
CAME: Contrastive Automated Model Evaluation-
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[arXiv]
[bibtex]@InProceedings{Peng_2023_ICCV, author = {Peng, Ru and Duan, Qiuyang and Wang, Haobo and Ma, Jiachen and Jiang, Yanbo and Tu, Yongjun and Jiang, Xiu and Zhao, Junbo}, title = {CAME: Contrastive Automated Model Evaluation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20121-20132} }
Order-preserving Consistency Regularization for Domain Adaptation and Generalization-
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[arXiv]
[bibtex]@InProceedings{Jing_2023_ICCV, author = {Jing, Mengmeng and Zhen, Xiantong and Li, Jingjing and Snoek, Cees G. M.}, title = {Order-preserving Consistency Regularization for Domain Adaptation and Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18916-18927} }
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization-
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[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Rui and Wan, Qiyu and Prakash, Pavana and Zhang, Lan and Yuan, Xu and Gong, Yanmin and Fu, Xin and Pan, Miao}, title = {Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16999-17009} }
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples-
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[arXiv]
[bibtex]@InProceedings{Yuan_2023_ICCV, author = {Yuan, Suqin and Feng, Lei and Liu, Tongliang}, title = {Late Stopping: Avoiding Confidently Learning from Mislabeled Examples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16079-16088} }
Most Important Person-Guided Dual-Branch Cross-Patch Attention for Group Affect Recognition-
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[bibtex]@InProceedings{Xie_2023_ICCV, author = {Xie, Hongxia and Lee, Ming-Xian and Chen, Tzu-Jui and Chen, Hung-Jen and Liu, Hou-I and Shuai, Hong-Han and Cheng, Wen-Huang}, title = {Most Important Person-Guided Dual-Branch Cross-Patch Attention for Group Affect Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20598-20608} }
Achievement-Based Training Progress Balancing for Multi-Task Learning-
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[bibtex]@InProceedings{Yun_2023_ICCV, author = {Yun, Hayoung and Cho, Hanjoo}, title = {Achievement-Based Training Progress Balancing for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16935-16944} }
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation-
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[arXiv]
[bibtex]@InProceedings{Liang_2023_ICCV, author = {Liang, Chen and Wang, Wenguan and Miao, Jiaxu and Yang, Yi}, title = {Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16197-16208} }
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection-
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[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Chenfeng and Wu, Bichen and Hou, Ji and Tsai, Sam and Li, Ruilong and Wang, Jialiang and Zhan, Wei and He, Zijian and Vajda, Peter and Keutzer, Kurt and Tomizuka, Masayoshi}, title = {NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23320-23330} }
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception-
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[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Kun and Yang, Dingkang and Zhang, Jingyu and Li, Mingcheng and Liu, Yang and Liu, Jing and Wang, Hanqi and Sun, Peng and Song, Liang}, title = {Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23383-23392} }
LPFF: A Portrait Dataset for Face Generators Across Large Poses-
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[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Yiqian and Zhang, Jing and Fu, Hongbo and Jin, Xiaogang}, title = {LPFF: A Portrait Dataset for Face Generators Across Large Poses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20327-20337} }
Pseudo-label Alignment for Semi-supervised Instance Segmentation-
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[arXiv]
[bibtex]@InProceedings{Hu_2023_ICCV, author = {Hu, Jie and Chen, Chen and Cao, Liujuan and Zhang, Shengchuan and Shu, Annan and Jiang, Guannan and Ji, Rongrong}, title = {Pseudo-label Alignment for Semi-supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16337-16347} }
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions-
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[arXiv]
[bibtex]@InProceedings{Asanomi_2023_ICCV, author = {Asanomi, Takanori and Matsuo, Shinnosuke and Suehiro, Daiki and Bise, Ryoma}, title = {MixBag: Bag-Level Data Augmentation for Learning from Label Proportions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16570-16579} }
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion-
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[arXiv]
[bibtex]@InProceedings{Pan_2023_ICCV, author = {Pan, Zhihong and Gherardi, Riccardo and Xie, Xiufeng and Huang, Stephen}, title = {Effective Real Image Editing with Accelerated Iterative Diffusion Inversion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15912-15921} }
UniFace: Unified Cross-Entropy Loss for Deep Face Recognition-
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[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Jiancan and Jia, Xi and Li, Qiufu and Shen, Linlin and Duan, Jinming}, title = {UniFace: Unified Cross-Entropy Loss for Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20730-20739} }
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers-
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[arXiv]
[bibtex]@InProceedings{Frumkin_2023_ICCV, author = {Frumkin, Natalia and Gope, Dibakar and Marculescu, Diana}, title = {Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16978-16988} }
ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering-
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[arXiv]
[bibtex]@InProceedings{Ramazzina_2023_ICCV, author = {Ramazzina, Andrea and Bijelic, Mario and Walz, Stefanie and Sanvito, Alessandro and Scheuble, Dominik and Heide, Felix}, title = {ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17957-17968} }
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning-
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[arXiv]
[bibtex]@InProceedings{Zhai_2023_ICCV, author = {Zhai, Yuanhao and Luan, Tianyu and Doermann, David and Yuan, Junsong}, title = {Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22390-22400} }
PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis-
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[bibtex]@InProceedings{Ying_2023_ICCV, author = {Ying, Haiyang and Jiang, Baowei and Zhang, Jinzhi and Xu, Di and Yu, Tao and Dai, Qionghai and Fang, Lu}, title = {PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17706-17716} }
DeePoint: Visual Pointing Recognition and Direction Estimation-
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[arXiv]
[bibtex]@InProceedings{Nakamura_2023_ICCV, author = {Nakamura, Shu and Kawanishi, Yasutomo and Nobuhara, Shohei and Nishino, Ko}, title = {DeePoint: Visual Pointing Recognition and Direction Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20577-20587} }
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation-
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[arXiv]
[bibtex]@InProceedings{Fu_2023_ICCV, author = {Fu, Qichen and Liu, Xingyu and Xu, Ran and Niebles, Juan Carlos and Kitani, Kris M.}, title = {Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23600-23611} }
iDAG: Invariant DAG Searching for Domain Generalization-
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[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Zenan and Wang, Haobo and Zhao, Junbo and Zheng, Nenggan}, title = {iDAG: Invariant DAG Searching for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19169-19179} }
Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction-
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[bibtex]@InProceedings{Choe_2023_ICCV, author = {Choe, Jaesung and Choy, Christopher and Park, Jaesik and Kweon, In So and Anandkumar, Anima}, title = {Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17871-17881} }
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes-
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[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Chaoqiang and Poggi, Matteo and Tosi, Fabio and Zhou, Lei and Sun, Qiyu and Tang, Yang and Mattoccia, Stefano}, title = {GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16209-16220} }
Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning-
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[arXiv]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Xiaobao and Selvaraj, Nithish Muthuchamy and Yu, Zitong and Kong, Adams Wai-Kin and Shen, Bingquan and Kot, Alex}, title = {Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22135-22145} }
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation-
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[bibtex]@InProceedings{Kang_2023_ICCV, author = {Kang, Mengxue and Zhang, Jinpeng and Zhang, Jinming and Wang, Xiashuang and Chen, Yang and Ma, Zhe and Huang, Xuhui}, title = {Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18894-18904} }
Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy-
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[arXiv]
[bibtex]@InProceedings{Jie_2023_ICCV, author = {Jie, Shibo and Wang, Haoqing and Deng, Zhi-Hong}, title = {Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17217-17226} }
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization-
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[arXiv]
[bibtex]@InProceedings{Dong_2023_ICCV, author = {Dong, Peijie and Li, Lujun and Wei, Zimian and Niu, Xin and Tian, Zhiliang and Pan, Hengyue}, title = {EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17076-17086} }
Face Clustering via Graph Convolutional Networks with Confidence Edges-
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[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Yang and Ge, Zhiwei and Luo, Yuhao and Liu, Lin and Xu, Sulong}, title = {Face Clustering via Graph Convolutional Networks with Confidence Edges}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20990-20999} }
Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing-
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[arXiv]
[bibtex]@InProceedings{Baldrati_2023_ICCV, author = {Baldrati, Alberto and Morelli, Davide and Cartella, Giuseppe and Cornia, Marcella and Bertini, Marco and Cucchiara, Rita}, title = {Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23393-23402} }
Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera-
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[bibtex]@InProceedings{Nunes_2023_ICCV, author = {Nunes, Urbano Miguel and Perrinet, Laurent Udo and Ieng, Sio-Hoi}, title = {Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23653-23663} }
A Benchmark for Chinese-English Scene Text Image Super-Resolution-
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[arXiv]
[bibtex]@InProceedings{Ma_2023_ICCV, author = {Ma, Jianqi and Liang, Zhetong and Xiang, Wangmeng and Yang, Xi and Zhang, Lei}, title = {A Benchmark for Chinese-English Scene Text Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19452-19461} }
Replay: Multi-modal Multi-view Acted Videos for Casual Holography-
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[arXiv]
[bibtex]@InProceedings{Shapovalov_2023_ICCV, author = {Shapovalov, Roman and Kleiman, Yanir and Rocco, Ignacio and Novotny, David and Vedaldi, Andrea and Chen, Changan and Kokkinos, Filippos and Graham, Ben and Neverova, Natalia}, title = {Replay: Multi-modal Multi-view Acted Videos for Casual Holography}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20338-20348} }
Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection-
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[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Junjia and Li, Haofeng and Wan, Xiang and Li, Guanbin}, title = {Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21384-21393} }
Removing Anomalies as Noises for Industrial Defect Localization-
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[bibtex]@InProceedings{Lu_2023_ICCV, author = {Lu, Fanbin and Yao, Xufeng and Fu, Chi-Wing and Jia, Jiaya}, title = {Removing Anomalies as Noises for Industrial Defect Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16166-16175} }
GPGait: Generalized Pose-based Gait Recognition-
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[arXiv]
[bibtex]@InProceedings{Fu_2023_ICCV, author = {Fu, Yang and Meng, Shibei and Hou, Saihui and Hu, Xuecai and Huang, Yongzhen}, title = {GPGait: Generalized Pose-based Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19595-19604} }
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations-
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[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Yuewei and Li, Hai and Chen, Yiran}, title = {Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16109-16120} }
Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition-
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[bibtex]@InProceedings{Liang_2023_ICCV, author = {Liang, Yiqing and Laidlaw, Eliot and Meyerowitz, Alexander and Sridhar, Srinath and Tompkin, James}, title = {Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21797-21806} }
A Fast Unified System for 3D Object Detection and Tracking-
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[bibtex]@InProceedings{Heitzinger_2023_ICCV, author = {Heitzinger, Thomas and Kampel, Martin}, title = {A Fast Unified System for 3D Object Detection and Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17044-17054} }
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception-
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[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Dingkang and Huang, Shuai and Xu, Zhi and Li, Zhenpeng and Wang, Shunli and Li, Mingcheng and Wang, Yuzheng and Liu, Yang and Yang, Kun and Chen, Zhaoyu and Wang, Yan and Liu, Jing and Zhang, Peixuan and Zhai, Peng and Zhang, Lihua}, title = {AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20459-20470} }
Self-Supervised Character-to-Character Distillation for Text Recognition-
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[arXiv]
[bibtex]@InProceedings{Guan_2023_ICCV, author = {Guan, Tongkun and Shen, Wei and Yang, Xue and Feng, Qi and Jiang, Zekun and Yang, Xiaokang}, title = {Self-Supervised Character-to-Character Distillation for Text Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19473-19484} }
Domain Adaptive Few-Shot Open-Set Learning-
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[supp]
[arXiv]
[bibtex]@InProceedings{Pal_2023_ICCV, author = {Pal, Debabrata and More, Deeptej and Bhargav, Sai and Tamboli, Dipesh and Aggarwal, Vaneet and Banerjee, Biplab}, title = {Domain Adaptive Few-Shot Open-Set Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18831-18840} }
Interactive Class-Agnostic Object Counting-
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[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Yifeng and Ranjan, Viresh and Hoai, Minh}, title = {Interactive Class-Agnostic Object Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22312-22322} }
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training-
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[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Xiao-Ming and Zheng, Dian and Liu, Zuhao and Zheng, Wei-Shi}, title = {Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17055-17064} }
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis-
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[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Chaoyi and Zhang, Xiaoman and Zhang, Ya and Wang, Yanfeng and Xie, Weidi}, title = {MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21372-21383} }
Automated Knowledge Distillation via Monte Carlo Tree Search-
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[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Lujun and Dong, Peijie and Wei, Zimian and Yang, Ya}, title = {Automated Knowledge Distillation via Monte Carlo Tree Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17413-17424} }
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2023_ICCV, author = {Peng, Ziqiao and Wu, Haoyu and Song, Zhenbo and Xu, Hao and Zhu, Xiangyu and He, Jun and Liu, Hongyan and Fan, Zhaoxin}, title = {EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20687-20697} }
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models-
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[arXiv]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, Jaewoong and Jang, Sangwon and Jo, Jaehyeong and Yoon, Jaehong and Kim, Yunji and Kim, Jin-Hwa and Ha, Jung-Woo and Hwang, Sung Ju}, title = {Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23252-23262} }
Inverse Problem Regularization with Hierarchical Variational Autoencoders-
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[arXiv]
[bibtex]@InProceedings{Prost_2023_ICCV, author = {Prost, Jean and Houdard, Antoine and Almansa, Andr\'es and Papadakis, Nicolas}, title = {Inverse Problem Regularization with Hierarchical Variational Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22894-22905} }
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map-
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[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2023_ICCV, author = {Fan, Zhenfeng and Zhang, Zhiheng and Yang, Shuang and Zhong, Chongyang and Cao, Min and Xia, Shihong}, title = {Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20828-20838} }
Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction-
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[bibtex]@InProceedings{Shahreza_2023_ICCV, author = {Shahreza, Hatef Otroshi and Marcel, S\'ebastien}, title = {Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19662-19672} }
ETran: Energy-Based Transferability Estimation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Gholami_2023_ICCV, author = {Gholami, Mohsen and Akbari, Mohammad and Wang, Xinglu and Kamranian, Behnam and Zhang, Yong}, title = {ETran: Energy-Based Transferability Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18613-18622} }
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Sanmin and Kim, Youngseok and Lee, In-Jae and Kum, Dongsuk}, title = {Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18057-18066} }
IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Model-
[pdf]
[bibtex]@InProceedings{Boutros_2023_ICCV, author = {Boutros, Fadi and Grebe, Jonas Henry and Kuijper, Arjan and Damer, Naser}, title = {IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19650-19661} }
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling-
[pdf]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Guangyuan and Zhao, Lei and Sun, Jiakai and Lan, Zehua and Zhang, Zhanjie and Chen, Jiafu and Lin, Zhijie and Lin, Huaizhong and Xing, Wei}, title = {Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21230-21240} }
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, Jungsoo and Das, Debasmit and Choo, Jaegul and Choi, Sungha}, title = {Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16380-16389} }
Long-Range Grouping Transformer for Multi-View 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Liying and Zhu, Zhenwei and Lin, Xuxin and Nong, Jian and Liang, Yanyan}, title = {Long-Range Grouping Transformer for Multi-View 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18257-18267} }
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Xinlin and Liu, Bang and Yang, Rui Heng and Courville, Vanessa and Xing, Chao and Nia, Vahid Partovi}, title = {DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two Quantization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17010-17020} }
Efficient Computation Sharing for Multi-Task Visual Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shoouri_2023_ICCV, author = {Shoouri, Sara and Yang, Mingyu and Fan, Zichen and Kim, Hun-Seok}, title = {Efficient Computation Sharing for Multi-Task Visual Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17130-17141} }
DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Haoang and Dong, Jinhu and Wen, Binghui and Gao, Ming and Huang, Tianyu and Liu, Yun-Hui and Cremers, Daniel}, title = {DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21894-21904} }
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_ICCV, author = {Cao, Haoyu and Bao, Changcun and Liu, Chaohu and Chen, Huang and Yin, Kun and Liu, Hao and Liu, Yinsong and Jiang, Deqiang and Sun, Xing}, title = {Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19517-19527} }
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Guangyao and Gothoskar, Nishad and Wang, Lirui and Tenenbaum, Joshua B. and Gutfreund, Dan and L\'azaro-Gredilla, Miguel and George, Dileep and Mansinghka, Vikash K.}, title = {3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21625-21636} }
SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qin_2023_ICCV, author = {Qin, Yiran and Wang, Chaoqun and Kang, Zijian and Ma, Ningning and Li, Zhen and Zhang, Ruimao}, title = {SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22014-22024} }
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Tan_2023_ICCV, author = {Tan, Shuai and Ji, Bin and Pan, Ye}, title = {EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22146-22156} }
Rethinking Vision Transformers for MobileNet Size and Speed-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Yanyu and Hu, Ju and Wen, Yang and Evangelidis, Georgios and Salahi, Kamyar and Wang, Yanzhi and Tulyakov, Sergey and Ren, Jian}, title = {Rethinking Vision Transformers for MobileNet Size and Speed}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16889-16900} }
Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2023_ICCV, author = {Hong, Fa-Ting and Xu, Dan}, title = {Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23062-23072} }
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Byungjun and Kwon, Patrick and Lee, Kwangho and Lee, Myunggi and Han, Sookwan and Kim, Daesik and Joo, Hanbyul}, title = {Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15965-15976} }
Going Beyond Nouns With Vision & Language Models Using Synthetic Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cascante-Bonilla_2023_ICCV, author = {Cascante-Bonilla, Paola and Shehada, Khaled and Smith, James Seale and Doveh, Sivan and Kim, Donghyun and Panda, Rameswar and Varol, Gul and Oliva, Aude and Ordonez, Vicente and Feris, Rogerio and Karlinsky, Leonid}, title = {Going Beyond Nouns With Vision \& Language Models Using Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20155-20165} }
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Serin and Hwang, Hyunmin and Ye, Jong Chul}, title = {Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22873-22882} }
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dou_2023_ICCV, author = {Dou, Zhaopeng and Wang, Zhongdao and Li, Yali and Wang, Shengjin}, title = {Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15847-15858} }
3D-Aware Generative Model for Improved Side-View Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jo_2023_ICCV, author = {Jo, Kyungmin and Jin, Wonjoon and Choo, Jaegul and Lee, Hyunjoon and Cho, Sunghyun}, title = {3D-Aware Generative Model for Improved Side-View Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22862-22872} }
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Runjia and Sun, Shuyang and Elhoseiny, Mohamed and Torr, Philip}, title = {OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20293-20303} }
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saha_2023_ICCV, author = {Saha, Suman and Hoyer, Lukas and Obukhov, Anton and Dai, Dengxin and Van Gool, Luc}, title = {EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19234-19245} }
Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning-
[pdf]
[bibtex]@InProceedings{Qiu_2023_ICCV, author = {Qiu, Yansheng and Chen, Delin and Yao, Hongdou and Xu, Yongchao and Wang, Zheng}, title = {Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21317-21326} }
Agglomerative Transformer for Human-Object Interaction Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tu_2023_ICCV, author = {Tu, Danyang and Sun, Wei and Zhai, Guangtao and Shen, Wei}, title = {Agglomerative Transformer for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21614-21624} }
Rethinking Fast Fourier Convolution in Image Inpainting-
[pdf]
[supp]
[bibtex]@InProceedings{Chu_2023_ICCV, author = {Chu, Tianyi and Chen, Jiafu and Sun, Jiakai and Lian, Shuobin and Wang, Zhizhong and Zuo, Zhiwen and Zhao, Lei and Xing, Wei and Lu, Dongming}, title = {Rethinking Fast Fourier Convolution in Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23195-23205} }
Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Yunan and Chen, Huizhou and Feng, Guanwen and Miao, Qiguang}, title = {Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20968-20978} }
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ventura_2023_ICCV, author = {Ventura, Jonathan and Kukelova, Zuzana and Sattler, Torsten and Bar\'ath, D\'aniel}, title = {P1AC: Revisiting Absolute Pose From a Single Affine Correspondence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19751-19761} }
Lossy and Lossless (L2) Post-training Model Size Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2023_ICCV, author = {Shi, Yumeng and Bai, Shihao and Wei, Xiuying and Gong, Ruihao and Yang, Jianlei}, title = {Lossy and Lossless (L2) Post-training Model Size Compression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17546-17556} }
C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Huaiwen and Guo, Zihang and Yang, Yang and Liu, Xin and Hu, De}, title = {C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21053-21062} }
ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2023_ICCV, author = {Cai, Qi and Pan, Yingwei and Yao, Ting and Ngo, Chong-Wah and Mei, Tao}, title = {ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18067-18076} }
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios-
[pdf]
[supp]
[bibtex]@InProceedings{Zou_2023_ICCV, author = {Zou, Yuli and Deng, Weijian and Zheng, Liang}, title = {Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19333-19342} }
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study-
[pdf]
[supp]
[bibtex]@InProceedings{Zhong_2023_ICCV, author = {Zhong, Yuanyi and Tang, Haoran and Chen, Jun-Kun and Wang, Yu-Xiong}, title = {Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16327-16336} }
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Huimin and Lei, Chenyang and Sun, Xiao and Wang, Peng-Shuai and Chen, Qifeng and Cheng, Kwang-Ting and Lin, Stephen and Wu, Zhirong}, title = {Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16305-16316} }
Neural Radiance Field with LiDAR maps-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2023_ICCV, author = {Chang, MingFang and Sharma, Akash and Kaess, Michael and Lucey, Simon}, title = {Neural Radiance Field with LiDAR maps}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17914-17923} }
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Xiaohua and Zhou, Yucan and Wu, Dayan and Yang, Chule and Li, Bo and Hu, Qinghua and Wang, Weiping}, title = {AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19277-19287} }
Learning Adaptive Neighborhoods for Graph Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saha_2023_ICCV, author = {Saha, Avishkar and Mendez, Oscar and Russell, Chris and Bowden, Richard}, title = {Learning Adaptive Neighborhoods for Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22541-22550} }
Make-It-3D: High-fidelity 3D Creation from A Single Image with Diffusion Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2023_ICCV, author = {Tang, Junshu and Wang, Tengfei and Zhang, Bo and Zhang, Ting and Yi, Ran and Ma, Lizhuang and Chen, Dong}, title = {Make-It-3D: High-fidelity 3D Creation from A Single Image with Diffusion Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22819-22829} }
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2023_ICCV, author = {Fan, Jianan and Liu, Dongnan and Chang, Hang and Huang, Heng and Chen, Mei and Cai, Weidong}, title = {Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21174-21184} }
Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Eric Ming and Holalkere, Sidhanth and Yan, Ruyu and Zhang, Kai and Davis, Abe}, title = {Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23242-23251} }
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Daehee and Kim, Yoonsik and Kim, DongHyun and Lim, Yumin and Kim, Geewook and Kil, Taeho}, title = {SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19562-19573} }
Domain Generalization of 3D Semantic Segmentation in Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sanchez_2023_ICCV, author = {Sanchez, Jules and Deschaud, Jean-Emmanuel and Goulette, Fran\c{c}ois}, title = {Domain Generalization of 3D Semantic Segmentation in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18077-18087} }
HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_ICCV, author = {Zheng, Xiaozheng and Wen, Chao and Xue, Zhou and Ren, Pengfei and Wang, Jingyu}, title = {HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20763-20773} }
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Fu-En and Wang, Chien-Yi and Wang, Yu-Chiang Frank}, title = {Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19159-19168} }
Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_ICCV, author = {Dong, Songlin and Luo, Haoyu and He, Yuhang and Wei, Xing and Cheng, Jie and Gong, Yihong}, title = {Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18711-18720} }
PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Gang and Cao, Xiangyong and Xiao, Wenzhe and Zhou, Man and Liu, Aiping and Chen, Xun and Meng, Deyu}, title = {PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16857-16867} }
Domain Generalization via Balancing Training Difficulty and Model Capability-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_ICCV, author = {Jiang, Xueying and Huang, Jiaxing and Jin, Sheng and Lu, Shijian}, title = {Domain Generalization via Balancing Training Difficulty and Model Capability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18993-19003} }
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Jie and Zhang, Yixiao and Chen, Jie-Neng and Xiao, Junfei and Lu, Yongyi and A Landman, Bennett and Yuan, Yixuan and Yuille, Alan and Tang, Yucheng and Zhou, Zongwei}, title = {CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21152-21164} }
Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization-
[pdf]
[supp]
[bibtex]@InProceedings{Ji_2023_ICCV, author = {Ji, Jintian and Feng, Songhe}, title = {Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19343-19352} }
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ding_2023_ICCV, author = {Ding, Henghui and Liu, Chang and He, Shuting and Jiang, Xudong and Torr, Philip H.S. and Bai, Song}, title = {MOSE: A New Dataset for Video Object Segmentation in Complex Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20224-20234} }
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Yuanhong and Liu, Fengbei and Wang, Hu and Wang, Chong and Liu, Yuyuan and Tian, Yu and Carneiro, Gustavo}, title = {BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21284-21295} }
Q-Diffusion: Quantizing Diffusion Models-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Xiuyu and Liu, Yijiang and Lian, Long and Yang, Huanrui and Dong, Zhen and Kang, Daniel and Zhang, Shanghang and Keutzer, Kurt}, title = {Q-Diffusion: Quantizing Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17535-17545} }
Robustifying Token Attention for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Yong and Stutz, David and Schiele, Bernt}, title = {Robustifying Token Attention for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17557-17568} }
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Youquan and Chen, Runnan and Li, Xin and Kong, Lingdong and Yang, Yuchen and Xia, Zhaoyang and Bai, Yeqi and Zhu, Xinge and Ma, Yuexin and Li, Yikang and Qiao, Yu and Hou, Yuenan}, title = {UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21662-21673} }
Pixel-Wise Contrastive Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Junqiang and Guo, Zichao}, title = {Pixel-Wise Contrastive Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16359-16369} }
Efficient Deep Space Filling Curve-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Wanli and Yao, Xufeng and Zhang, Xinyun and Yu, Bei}, title = {Efficient Deep Space Filling Curve}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17525-17534} }
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Qin_2023_ICCV, author = {Qin, Can and Yu, Ning and Xing, Chen and Zhang, Shu and Chen, Zeyuan and Ermon, Stefano and Fu, Yun and Xiong, Caiming and Xu, Ran}, title = {GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23085-23096} }
Ponder: Point Cloud Pre-training via Neural Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Di and Peng, Sida and He, Tong and Yang, Honghui and Zhou, Xiaowei and Ouyang, Wanli}, title = {Ponder: Point Cloud Pre-training via Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16089-16098} }
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Rehman_2023_ICCV, author = {Rehman, Yasar Abbas Ur and Gao, Yan and de Gusmao, Pedro Porto Buarque and Alibeigi, Mina and Shen, Jiajun and Lane, Nicholas D.}, title = {L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16464-16473} }
Controllable Guide-Space for Generalizable Face Forgery Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Ying and Zhen, Cheng and Yan, Pengfei}, title = {Controllable Guide-Space for Generalizable Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20818-20827} }
Calibrating Uncertainty for Semi-Supervised Crowd Counting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{LI_2023_ICCV, author = {LI, Chen and Hu, Xiaoling and Abousamra, Shahira and Chen, Chao}, title = {Calibrating Uncertainty for Semi-Supervised Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16731-16741} }
Segmentation of Tubular Structures Using Iterative Training with Tailored Samples-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liao_2023_ICCV, author = {Liao, Wei}, title = {Segmentation of Tubular Structures Using Iterative Training with Tailored Samples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23643-23652} }
Surface Extraction from Neural Unsigned Distance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Congyi and Lin, Guying and Yang, Lei and Li, Xin and Komura, Taku and Schaefer, Scott and Keyser, John and Wang, Wenping}, title = {Surface Extraction from Neural Unsigned Distance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22531-22540} }
CBA: Improving Online Continual Learning via Continual Bias Adaptor-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Quanziang and Wang, Renzhen and Wu, Yichen and Jia, Xixi and Meng, Deyu}, title = {CBA: Improving Online Continual Learning via Continual Bias Adaptor}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19082-19092} }
Multi-view Spectral Polarization Propagation for Video Glass Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Qiao_2023_ICCV, author = {Qiao, Yu and Dong, Bo and Jin, Ao and Fu, Yu and Baek, Seung-Hwan and Heide, Felix and Peers, Pieter and Wei, Xiaopeng and Yang, Xin}, title = {Multi-view Spectral Polarization Propagation for Video Glass Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23218-23228} }
DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2023_ICCV, author = {Hu, Lanqing and Kan, Meina and Shan, Shiguang and Chen, Xilin}, title = {DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19050-19059} }
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chattopadhyay_2023_ICCV, author = {Chattopadhyay, Prithvijit and Sarangmath, Kartik and Vijaykumar, Vivek and Hoffman, Judy}, title = {PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19288-19300} }
RANA: Relightable Articulated Neural Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iqbal_2023_ICCV, author = {Iqbal, Umar and Caliskan, Akin and Nagano, Koki and Khamis, Sameh and Molchanov, Pavlo and Kautz, Jan}, title = {RANA: Relightable Articulated Neural Avatars}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23142-23153} }
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Yunfei and Lin, Lijian and Yu, Fei and Zhou, Changyin and Li, Yu}, title = {MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23020-23029} }
DIRE for Diffusion-Generated Image Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Zhendong and Bao, Jianmin and Zhou, Wengang and Wang, Weilun and Hu, Hezhen and Chen, Hong and Li, Houqiang}, title = {DIRE for Diffusion-Generated Image Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22445-22455} }
Bring Clipart to Life-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Nanxuan and Dang, Shengqi and Lin, Hexun and Shi, Yang and Cao, Nan}, title = {Bring Clipart to Life}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23341-23350} }
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Jiachuan and Di, Shimin and Chen, Lei and Ng, Charles Wang Wai}, title = {Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16034-16043} }
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Zhitao and Cai, Zhongang and Mei, Haiyi and Liu, Shuai and Chen, Zhaoxi and Xiao, Weiye and Wei, Yukun and Qing, Zhongfei and Wei, Chen and Dai, Bo and Wu, Wayne and Qian, Chen and Lin, Dahua and Liu, Ziwei and Yang, Lei}, title = {SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20282-20292} }
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Minjung and Koo, Junseo and Kim, Gunhee}, title = {EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21527-21537} }
Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Hongji and Ji, Qiang}, title = {Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19627-19638} }
Regularized Primitive Graph Learning for Unified Vector Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Lei and Dai, Min and He, Jianan and Huang, Jingwei}, title = {Regularized Primitive Graph Learning for Unified Vector Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16817-16826} }
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seo_2023_ICCV, author = {Seo, Seunghyeon and Chang, Yeonjin and Kwak, Nojun}, title = {FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22883-22893} }
MolGrapher: Graph-based Visual Recognition of Chemical Structures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Morin_2023_ICCV, author = {Morin, Lucas and Danelljan, Martin and Agea, Maria Isabel and Nassar, Ahmed and Weber, Valery and Meijer, Ingmar and Staar, Peter and Yu, Fisher}, title = {MolGrapher: Graph-based Visual Recognition of Chemical Structures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19552-19561} }
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Xiaoyu and Lin, Zhiwei and Shan, Xiaojun and Wang, Yongtao and Sun, Deqing and Yang, Ming-Hsuan}, title = {SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22830-22840} }
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_ICCV, author = {Zheng, Yang and Harley, Adam W. and Shen, Bokui and Wetzstein, Gordon and Guibas, Leonidas J.}, title = {PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19855-19865} }
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image-
[pdf]
[supp]
[bibtex]@InProceedings{Shao_2023_ICCV, author = {Shao, Zhuchen and Wang, Yifeng and Chen, Yang and Bian, Hao and Liu, Shaohui and Wang, Haoqian and Zhang, Yongbing}, title = {LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21495-21505} }
Few-Shot Dataset Distillation via Translative Pre-Training-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Songhua and Wang, Xinchao}, title = {Few-Shot Dataset Distillation via Translative Pre-Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18654-18664} }
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Kan and Peng, Houwen and Zhou, Zhenghong and Xiao, Bin and Liu, Mengchen and Yuan, Lu and Xuan, Hong and Valenzuela, Michael and Chen, Xi (Stephen) and Wang, Xinggang and Chao, Hongyang and Hu, Han}, title = {TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21970-21980} }
Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting-
[pdf]
[supp]
[bibtex]@InProceedings{Chowdhury_2023_ICCV, author = {Chowdhury, Pinaki Nath and Bhunia, Ayan Kumar and Sain, Aneeshan and Koley, Subhadeep and Xiang, Tao and Song, Yi-Zhe}, title = {Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23275-23286} }
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_ICCV, author = {Luo, Yadan and Chen, Zhuoxiao and Fang, Zhen and Zhang, Zheng and Baktashmotlagh, Mahsa and Huang, Zi}, title = {KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18279-18290} }
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2023_ICCV, author = {Fang, Yan and Zhu, Feng and Cheng, Bowen and Liu, Luoqi and Zhao, Yao and Wei, Yunchao}, title = {Locating Noise is Halfway Denoising for Semi-Supervised Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16612-16622} }
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2023_ICCV, author = {Fan, Yue and Kukleva, Anna and Dai, Dengxin and Schiele, Bernt}, title = {SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16068-16078} }
Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_ICCV, author = {Zhu, Zhiyu and Hou, Junhui and Wu, Dapeng Oliver}, title = {Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22045-22055} }
How to Boost Face Recognition with StyleGAN?-
[pdf]
[supp]
[bibtex]@InProceedings{Sevastopolskiy_2023_ICCV, author = {Sevastopolskiy, Artem and Malkov, Yury and Durasov, Nikita and Verdoliva, Luisa and Nie{\ss}ner, Matthias}, title = {How to Boost Face Recognition with StyleGAN?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20924-20934} }
Text2Tex: Text-driven Texture Synthesis via Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Dave Zhenyu and Siddiqui, Yawar and Lee, Hsin-Ying and Tulyakov, Sergey and Nie{\ss}ner, Matthias}, title = {Text2Tex: Text-driven Texture Synthesis via Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18558-18568} }
MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Zhixuan and Ye, Weining and Terven, Juan and Bennett, Zachary and Zheng, Ying and Jiang, Tingting and Huang, Tiejun}, title = {MUVA: A New Large-Scale Benchmark for Multi-View Amodal Instance Segmentation in the Shopping Scenario}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23504-23513} }
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_ICCV, author = {Park, Song and Chun, Sanghyuk and Heo, Byeongho and Kim, Wonjae and Yun, Sangdoo}, title = {SeiT: Storage-Efficient Vision Training with Tokens Using 1\% of Pixel Storage}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17248-17259} }
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Tianyu and Dong, Bowen and Yang, Yunhan and Huang, Xiaoshui and Lau, Rynson W.H. and Ouyang, Wanli and Zuo, Wangmeng}, title = {CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22157-22167} }
Parametric Classification for Generalized Category Discovery: A Baseline Study-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wen_2023_ICCV, author = {Wen, Xin and Zhao, Bingchen and Qi, Xiaojuan}, title = {Parametric Classification for Generalized Category Discovery: A Baseline Study}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16590-16600} }
Denoising Diffusion Autoencoders are Unified Self-supervised Learners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2023_ICCV, author = {Xiang, Weilai and Yang, Hongyu and Huang, Di and Wang, Yunhong}, title = {Denoising Diffusion Autoencoders are Unified Self-supervised Learners}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15802-15812} }
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering-
[pdf]
[bibtex]@InProceedings{Dong_2023_ICCV, author = {Dong, Zhibin and Wang, Siwei and Jin, Jiaqi and Liu, Xinwang and Zhu, En}, title = {Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19440-19451} }
Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Yuanzhi and Cui, Zhen and Li, Yong}, title = {Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22025-22034} }
ContactGen: Generative Contact Modeling for Grasp Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Shaowei and Zhou, Yang and Yang, Jimei and Gupta, Saurabh and Wang, Shenlong}, title = {ContactGen: Generative Contact Modeling for Grasp Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20609-20620} }
Ego-Humans: An Ego-Centric 3D Multi-Human Benchmark-
[pdf]
[supp]
[bibtex]@InProceedings{Khirodkar_2023_ICCV, author = {Khirodkar, Rawal and Bansal, Aayush and Ma, Lingni and Newcombe, Richard and Vo, Minh and Kitani, Kris}, title = {Ego-Humans: An Ego-Centric 3D Multi-Human Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19807-19819} }
Reference-guided Controllable Inpainting of Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mirzaei_2023_ICCV, author = {Mirzaei, Ashkan and Aumentado-Armstrong, Tristan and Brubaker, Marcus A. and Kelly, Jonathan and Levinshtein, Alex and Derpanis, Konstantinos G. and Gilitschenski, Igor}, title = {Reference-guided Controllable Inpainting of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17815-17825} }
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_ICCV, author = {Ye, Yufei and Hebbar, Poorvi and Gupta, Abhinav and Tulsiani, Shubham}, title = {Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19717-19728} }
DVGaze: Dual-View Gaze Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_ICCV, author = {Cheng, Yihua and Lu, Feng}, title = {DVGaze: Dual-View Gaze Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20632-20641} }
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Kaixin and Wang, Zhe and Geng, Xue and Wu, Min and Li, Xiaoli and Lin, Weisi}, title = {Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17447-17457} }
Exploring the Sim2Real Gap Using Digital Twins-
[pdf]
[supp]
[bibtex]@InProceedings{Sudhakar_2023_ICCV, author = {Sudhakar, Sruthi and Hanzelka, Jon and Bobillot, Josh and Randhavane, Tanmay and Joshi, Neel and Vineet, Vibhav}, title = {Exploring the Sim2Real Gap Using Digital Twins}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20418-20427} }
Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing-
[pdf]
[supp]
[bibtex]@InProceedings{Zorzi_2023_ICCV, author = {Zorzi, Stefano and Fraundorfer, Friedrich}, title = {Re:PolyWorld - A Graph Neural Network for Polygonal Scene Parsing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16762-16771} }
Video State-Changing Object Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_ICCV, author = {Yu, Jiangwei and Li, Xiang and Zhao, Xinran and Zhang, Hongming and Wang, Yu-Xiong}, title = {Video State-Changing Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20439-20448} }
MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_ICCV, author = {Tian, Fengrui and Du, Shaoyi and Duan, Yueqi}, title = {MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17903-17913} }
PG-RCNN: Semantic Surface Point Generation for 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Koo_2023_ICCV, author = {Koo, Inyong and Lee, Inyoung and Kim, Se-Ho and Kim, Hee-Seon and Jeon, Woo-jin and Kim, Changick}, title = {PG-RCNN: Semantic Surface Point Generation for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18142-18151} }
Representation Uncertainty in Self-Supervised Learning as Variational Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nakamura_2023_ICCV, author = {Nakamura, Hiroki and Okada, Masashi and Taniguchi, Tadahiro}, title = {Representation Uncertainty in Self-Supervised Learning as Variational Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16484-16493} }
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Zunnan and Chen, Zhihong and Zhang, Yong and Song, Yibing and Wan, Xiang and Li, Guanbin}, title = {Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17503-17512} }
ATT3D: Amortized Text-to-3D Object Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lorraine_2023_ICCV, author = {Lorraine, Jonathan and Xie, Kevin and Zeng, Xiaohui and Lin, Chen-Hsuan and Takikawa, Towaki and Sharp, Nicholas and Lin, Tsung-Yi and Liu, Ming-Yu and Fidler, Sanja and Lucas, James}, title = {ATT3D: Amortized Text-to-3D Object Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17946-17956} }
Virtual Try-On with Pose-Garment Keypoints Guided Inpainting-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Zhi and Wei, Pengfei and Yin, Xiang and Ma, Zejun and Kot, Alex C.}, title = {Virtual Try-On with Pose-Garment Keypoints Guided Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22788-22797} }
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shvetsova_2023_ICCV, author = {Shvetsova, Nina and Petersen, Felix and Kukleva, Anna and Schiele, Bernt and Kuehne, Hilde}, title = {Learning by Sorting: Self-supervised Learning with Group Ordering Constraints}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16453-16463} }
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2023_ICCV, author = {Yan, Junjie and Liu, Yingfei and Sun, Jianjian and Jia, Fan and Li, Shuailin and Wang, Tiancai and Zhang, Xiangyu}, title = {Cross Modal Transformer: Towards Fast and Robust 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18268-18278} }
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Yi-Hsin and Chen, Si-Cun and Chen, Yi-Hsin and Lin, Yen-Yu and Peng, Wen-Hsiao}, title = {MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23131-23141} }
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Youngseok and Shin, Juyeb and Kim, Sanmin and Lee, In-Jae and Choi, Jun Won and Kum, Dongsuk}, title = {CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17615-17626} }
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ngo_2023_ICCV, author = {Ngo, Tuan Duc and Hua, Binh-Son and Nguyen, Khoi}, title = {GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17794-17803} }
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Haoqi and Li, Zhizhong and Zhang, Wayne}, title = {Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22478-22487} }
ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Qianyi and Wang, Kaisiyuan and Li, Kejie and Zheng, Jianmin and Cai, Jianfei}, title = {ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21764-21774} }
Towards Unsupervised Domain Generalization for Face Anti-Spoofing-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Yuchen and Chen, Yabo and Gou, Mengran and Huang, Chun-Ting and Wang, Yaoming and Dai, Wenrui and Xiong, Hongkai}, title = {Towards Unsupervised Domain Generalization for Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20654-20664} }
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions-
[pdf]
[supp]
[bibtex]@InProceedings{Parger_2023_ICCV, author = {Parger, Mathias and Tang, Chengcheng and Neff, Thomas and Twigg, Christopher D. and Keskin, Cem and Wang, Robert and Steinberger, Markus}, title = {MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17292-17301} }
General Image-to-Image Translation with One-Shot Image Guidance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_ICCV, author = {Cheng, Bin and Liu, Zuhao and Peng, Yunbo and Lin, Yue}, title = {General Image-to-Image Translation with One-Shot Image Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22736-22746} }
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Kai and Shang, Hong and Shi, Tianyang and Chen, Xinghan and Zhou, Jingkai and Sun, Zhongqian and Yang, Wei}, title = {ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20708-20717} }
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2023_ICCV, author = {Jung, Sanghun and Lee, Jungsoo and Kim, Nanhee and Shaban, Amirreza and Boots, Byron and Choo, Jaegul}, title = {CAFA: Class-Aware Feature Alignment for Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19060-19071} }
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Feng and Kim, Minchul and Gu, ZiAng and Jain, Anil and Liu, Xiaoming}, title = {Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19617-19626} }
Agile Modeling: From Concept to Classifier in Minutes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stretcu_2023_ICCV, author = {Stretcu, Otilia and Vendrow, Edward and Hata, Kenji and Viswanathan, Krishnamurthy and Ferrari, Vittorio and Tavakkol, Sasan and Zhou, Wenlei and Avinash, Aditya and Luo, Emming and Alldrin, Neil Gordon and Bateni, MohammadHossein and Berger, Gabriel and Bunner, Andrew and Lu, Chun-Ta and Rey, Javier and DeSalvo, Giulia and Krishna, Ranjay and Fuxman, Ariel}, title = {Agile Modeling: From Concept to Classifier in Minutes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22323-22334} }
FACET: Fairness in Computer Vision Evaluation Benchmark-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gustafson_2023_ICCV, author = {Gustafson, Laura and Rolland, Chloe and Ravi, Nikhila and Duval, Quentin and Adcock, Aaron and Fu, Cheng-Yang and Hall, Melissa and Ross, Candace}, title = {FACET: Fairness in Computer Vision Evaluation Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20370-20382} }
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tian_2023_ICCV, author = {Tian, Long and Feng, Jingyi and Chai, Xiaoqiang and Chen, Wenchao and Wang, Liming and Liu, Xiyang and Chen, Bo}, title = {Prototypes-oriented Transductive Few-shot Learning with Conditional Transport}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16317-16326} }
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_ICCV, author = {Xie, Yichen and Xu, Chenfeng and Rakotosaona, Marie-Julie and Rim, Patrick and Tombari, Federico and Keutzer, Kurt and Tomizuka, Masayoshi and Zhan, Wei}, title = {SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17591-17602} }
DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, Clarence and Kumar, M Ganesh and Tan, Cheston}, title = {DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20019-20028} }
RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Zizhang and Lyu, Xiaoyang and Ding, Yuanyuan and Wang, Mengmeng and Liao, Yiyi and Liu, Yong}, title = {RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17761-17771} }
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Nakhli_2023_ICCV, author = {Nakhli, Ramin and Zhang, Allen and Mirabadi, Ali and Rich, Katherine and Asadi, Maryam and Gilks, Blake and Farahani, Hossein and Bashashati, Ali}, title = {CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21063-21073} }
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment-
[pdf]
[bibtex]@InProceedings{Ou_2023_ICCV, author = {Ou, Fu-Zhao and Chen, Baoliang and Li, Chongyi and Wang, Shiqi and Kwong, Sam}, title = {Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20718-20729} }
CLR: Channel-wise Lightweight Reprogramming for Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2023_ICCV, author = {Ge, Yunhao and Li, Yuecheng and Ni, Shuo and Zhao, Jiaping and Yang, Ming-Hsuan and Itti, Laurent}, title = {CLR: Channel-wise Lightweight Reprogramming for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18798-18808} }
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Zekun and Qi, Lei and Shi, Yinghuan and Gao, Yang}, title = {IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15870-15879} }
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Zongyi and Yuan, Bo and Zhao, Shanshan and Zhang, Qianni and Gao, Xinbo}, title = {Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18098-18108} }
Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_2023_ICCV, author = {Le, Binh M. and Woo, Simon S.}, title = {Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22378-22389} }
Object-Centric Multiple Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Zixu and Wang, Jiaze and Horn, Max and Ding, Yizhuo and He, Tong and Bai, Zechen and Zietlow, Dominik and Simon-Gabriel, Carl-Johann and Shuai, Bing and Tu, Zhuowen and Brox, Thomas and Schiele, Bernt and Fu, Yanwei and Locatello, Francesco and Zhang, Zheng and Xiao, Tianjun}, title = {Object-Centric Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16601-16611} }
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Hatem_2023_ICCV, author = {Hatem, Ahmed and Qian, Yiming and Wang, Yang}, title = {Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16494-16504} }
uSplit: Image Decomposition for Fluorescence Microscopy-
[pdf]
[supp]
[bibtex]@InProceedings{Ashesh_2023_ICCV, author = {Ashesh, Ashesh and Krull, Alexander and Di Sante, Moises and Pasqualini, Francesco and Jug, Florian}, title = {uSplit: Image Decomposition for Fluorescence Microscopy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21219-21229} }
LightGlue: Local Feature Matching at Light Speed-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lindenberger_2023_ICCV, author = {Lindenberger, Philipp and Sarlin, Paul-Edouard and Pollefeys, Marc}, title = {LightGlue: Local Feature Matching at Light Speed}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17627-17638} }
Masked Autoencoders are Efficient Class Incremental Learners-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhai_2023_ICCV, author = {Zhai, Jiang-Tian and Liu, Xialei and Bagdanov, Andrew D. and Li, Ke and Cheng, Ming-Ming}, title = {Masked Autoencoders are Efficient Class Incremental Learners}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19104-19113} }
Towards Semi-supervised Learning with Non-random Missing Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Duan_2023_ICCV, author = {Duan, Yue and Zhao, Zhen and Qi, Lei and Zhou, Luping and Wang, Lei and Shi, Yinghuan}, title = {Towards Semi-supervised Learning with Non-random Missing Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16121-16131} }
NeRFrac: Neural Radiance Fields through Refractive Surface-
[pdf]
[supp]
[bibtex]@InProceedings{Zhan_2023_ICCV, author = {Zhan, Yifan and Nobuhara, Shohei and Nishino, Ko and Zheng, Yinqiang}, title = {NeRFrac: Neural Radiance Fields through Refractive Surface}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18402-18412} }
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhi_2023_ICCV, author = {Zhi, Yihao and Cun, Xiaodong and Chen, Xuelin and Shen, Xi and Guo, Wen and Huang, Shaoli and Gao, Shenghua}, title = {LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20807-20817} }
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_ICCV, author = {Zheng, Zangwei and Ma, Mingyuan and Wang, Kai and Qin, Ziheng and Yue, Xiangyu and You, Yang}, title = {Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19125-19136} }
Personalized Image Generation for Color Vision Deficiency Population-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_ICCV, author = {Jiang, Shuyi and Liu, Daochang and Li, Dingquan and Xu, Chang}, title = {Personalized Image Generation for Color Vision Deficiency Population}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22571-22580} }
EGC: Image Generation and Classification via a Diffusion Energy-Based Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Qiushan and Ma, Chuofan and Jiang, Yi and Yuan, Zehuan and Yu, Yizhou and Luo, Ping}, title = {EGC: Image Generation and Classification via a Diffusion Energy-Based Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22952-22962} }
Joint Metrics Matter: A Better Standard for Trajectory Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Weng_2023_ICCV, author = {Weng, Erica and Hoshino, Hana and Ramanan, Deva and Kitani, Kris}, title = {Joint Metrics Matter: A Better Standard for Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20315-20326} }
Test Time Adaptation for Blind Image Quality Assessment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Roy_2023_ICCV, author = {Roy, Subhadeep and Mitra, Shankhanil and Biswas, Soma and Soundararajan, Rajiv}, title = {Test Time Adaptation for Blind Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16742-16751} }
GeT: Generative Target Structure Debiasing for Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Can and Lee, Gim Hee}, title = {GeT: Generative Target Structure Debiasing for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23577-23588} }
Point-SLAM: Dense Neural Point Cloud-based SLAM-
[pdf]
[supp]
[bibtex]@InProceedings{Sandstrom_2023_ICCV, author = {Sandstr\"om, Erik and Li, Yue and Van Gool, Luc and Oswald, Martin R.}, title = {Point-SLAM: Dense Neural Point Cloud-based SLAM}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18433-18444} }
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Xuesong and Shi, Shaoshuai and Zhang, Chao and Zhu, Benjin and Wang, Qiang and Cheung, Ka Chun and See, Simon and Li, Hongsheng}, title = {TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18527-18536} }
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2023_ICCV, author = {Lu, Yuhang and Jiang, Qi and Chen, Runnan and Hou, Yuenan and Zhu, Xinge and Ma, Yuexin}, title = {See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21674-21684} }
Editable Image Geometric Abstraction via Neural Primitive Assembly-
[pdf]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Ye and Ni, Bingbing and Chen, Xuanhong and Hu, Zhangli}, title = {Editable Image Geometric Abstraction via Neural Primitive Assembly}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23514-23523} }
Homeomorphism Alignment for Unsupervised Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Lihua and Ye, Mao and Zhu, Xiatian and Xiao, Siying and Fan, Xu-Qian and Neri, Ferrante}, title = {Homeomorphism Alignment for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18699-18710} }
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Jingyuan and Huang, Qirui and Ding, Tingting and Lischinski, Dani and Cohen-Or, Danny and Huang, Hui}, title = {EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20383-20394} }
Class-relation Knowledge Distillation for Novel Class Discovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2023_ICCV, author = {Gu, Peiyan and Zhang, Chuyu and Xu, Ruijie and He, Xuming}, title = {Class-relation Knowledge Distillation for Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16474-16483} }
Data-Free Class-Incremental Hand Gesture Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Aich_2023_ICCV, author = {Aich, Shubhra and Ruiz-Santaquiteria, Jesus and Lu, Zhenyu and Garg, Prachi and Joseph, K J and Garcia, Alvaro Fernandez and Balasubramanian, Vineeth N and Kin, Kenrick and Wan, Chengde and Camgoz, Necati Cihan and Ma, Shugao and De la Torre, Fernando}, title = {Data-Free Class-Incremental Hand Gesture Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20958-20967} }
Mixed Neural Voxels for Fast Multi-view Video Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Feng and Tan, Sinan and Li, Xinghang and Tian, Zeyue and Song, Yafei and Liu, Huaping}, title = {Mixed Neural Voxels for Fast Multi-view Video Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19706-19716} }
Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_ICCV, author = {Luo, Yan and Shi, Min and Tian, Yu and Elze, Tobias and Wang, Mengyu}, title = {Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20471-20482} }
Tracking Everything Everywhere All at Once-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Qianqian and Chang, Yen-Yu and Cai, Ruojin and Li, Zhengqi and Hariharan, Bharath and Holynski, Aleksander and Snavely, Noah}, title = {Tracking Everything Everywhere All at Once}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19795-19806} }
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Miao_2023_ICCV, author = {Miao, Juzheng and Chen, Cheng and Liu, Furui and Wei, Hao and Heng, Pheng-Ann}, title = {CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21426-21437} }
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_ICCV, author = {Cheng, Zhi-Qi and Dai, Qi and Hauptmann, Alexander G.}, title = {ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22202-22213} }
Neural LiDAR Fields for Novel View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Shengyu and Gojcic, Zan and Wang, Zian and Williams, Francis and Kasten, Yoni and Fidler, Sanja and Schindler, Konrad and Litany, Or}, title = {Neural LiDAR Fields for Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18236-18246} }
Understanding 3D Object Interaction from a Single Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qian_2023_ICCV, author = {Qian, Shengyi and Fouhey, David F.}, title = {Understanding 3D Object Interaction from a Single Image}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21753-21763} }
Cross-Modal Translation and Alignment for Survival Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Fengtao and Chen, Hao}, title = {Cross-Modal Translation and Alignment for Survival Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21485-21494} }
Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events-
[pdf]
[supp]
[bibtex]@InProceedings{Ong_2023_ICCV, author = {Ong, Kian Eng and Ng, Xun Long and Li, Yanchao and Ai, Wenjie and Zhao, Kuangyi and Yeo, Si Yong and Liu, Jun}, title = {Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20213-20223} }
Active Stereo Without Pattern Projector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bartolomei_2023_ICCV, author = {Bartolomei, Luca and Poggi, Matteo and Tosi, Fabio and Conti, Andrea and Mattoccia, Stefano}, title = {Active Stereo Without Pattern Projector}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18470-18482} }
Towards Instance-adaptive Inference for Federated Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Feng_2023_ICCV, author = {Feng, Chun-Mei and Yu, Kai and Liu, Nian and Xu, Xinxing and Khan, Salman and Zuo, Wangmeng}, title = {Towards Instance-adaptive Inference for Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23287-23296} }
Online Clustered Codebook-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_ICCV, author = {Zheng, Chuanxia and Vedaldi, Andrea}, title = {Online Clustered Codebook}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22798-22807} }
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kong_2023_ICCV, author = {Kong, Lingdong and Liu, Youquan and Li, Xin and Chen, Runnan and Zhang, Wenwei and Ren, Jiawei and Pan, Liang and Chen, Kai and Liu, Ziwei}, title = {Robo3D: Towards Robust and Reliable 3D Perception against Corruptions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19994-20006} }
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Jiaming and Lin, Xiangru and Zhang, Wei and Tan, Xiao and Li, Yingying and Han, Junyu and Ding, Errui and Wang, Jingdong and Li, Guanbin}, title = {Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16390-16400} }
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Gengwei and Wang, Liyuan and Kang, Guoliang and Chen, Ling and Wei, Yunchao}, title = {SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19148-19158} }
Implicit Temporal Modeling with Learnable Alignment for Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2023_ICCV, author = {Tu, Shuyuan and Dai, Qi and Wu, Zuxuan and Cheng, Zhi-Qi and Hu, Han and Jiang, Yu-Gang}, title = {Implicit Temporal Modeling with Learnable Alignment for Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19936-19947} }
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_ICCV, author = {Xie, Yiming and Jiang, Huaizu and Gkioxari, Georgia and Straub, Julian}, title = {Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18370-18380} }
TiDAL: Learning Training Dynamics for Active Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kye_2023_ICCV, author = {Kye, Seong Min and Choi, Kwanghee and Byun, Hyeongmin and Chang, Buru}, title = {TiDAL: Learning Training Dynamics for Active Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22335-22345} }
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Holmquist_2023_ICCV, author = {Holmquist, Karl and Wandt, Bastian}, title = {DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15977-15987} }
AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Hong_2023_ICCV, author = {Hong, Kibeom and Jeon, Seogkyu and Lee, Junsoo and Ahn, Namhyuk and Kim, Kunhee and Lee, Pilhyeon and Kim, Daesik and Uh, Youngjung and Byun, Hyeran}, title = {AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22758-22767} }
Self-Ordering Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Pengwan and Snoek, Cees G. M. and Asano, Yuki M.}, title = {Self-Ordering Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15813-15822} }
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans-
[pdf]
[supp]
[bibtex]@InProceedings{Ji_2023_ICCV, author = {Ji, Zhanghexuan and Guo, Dazhou and Wang, Puyang and Yan, Ke and Lu, Le and Xu, Minfeng and Wang, Qifeng and Ge, Jia and Gao, Mingchen and Ye, Xianghua and Jin, Dakai}, title = {Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21140-21151} }
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Konwer_2023_ICCV, author = {Konwer, Aishik and Hu, Xiaoling and Bae, Joseph and Xu, Xuan and Chen, Chao and Prasanna, Prateek}, title = {Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21415-21425} }
DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2023_ICCV, author = {Cheng, Wei and Chen, Ruixiang and Fan, Siming and Yin, Wanqi and Chen, Keyu and Cai, Zhongang and Wang, Jingbo and Gao, Yang and Yu, Zhengming and Lin, Zhengyu and Ren, Daxuan and Yang, Lei and Liu, Ziwei and Loy, Chen Change and Qian, Chen and Wu, Wayne and Lin, Dahua and Dai, Bo and Lin, Kwan-Yee}, title = {DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19982-19993} }
A step towards understanding why classification helps regression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pintea_2023_ICCV, author = {Pintea, Silvia L. and Lin, Yancong and Dijkstra, Jouke and van Gemert, Jan C.}, title = {A step towards understanding why classification helps regression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19972-19981} }
CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_ICCV, author = {Zhu, Hongguang and Wei, Yunchao and Liang, Xiaodan and Zhang, Chunjie and Zhao, Yao}, title = {CTP:Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22257-22267} }
FLIP: Cross-domain Face Anti-spoofing with Language Guidance-
[pdf]
[supp]
[bibtex]@InProceedings{Srivatsan_2023_ICCV, author = {Srivatsan, Koushik and Naseer, Muzammal and Nandakumar, Karthik}, title = {FLIP: Cross-domain Face Anti-spoofing with Language Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19685-19696} }
Distribution Shift Matters for Knowledge Distillation with Webly Collected Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_ICCV, author = {Tang, Jialiang and Chen, Shuo and Niu, Gang and Sugiyama, Masashi and Gong, Chen}, title = {Distribution Shift Matters for Knowledge Distillation with Webly Collected Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17470-17480} }
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification-
[pdf]
[bibtex]@InProceedings{Qiu_2023_ICCV, author = {Qiu, Xihe and Shi, Shaojie and Tan, Xiaoyu and Qu, Chao and Fang, Zhijun and Wang, Hailing and Gao, Yongbin and Wu, Peixia and Li, Huawei}, title = {Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21339-21348} }
Pluralistic Aging Diffusion Autoencoder-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Peipei and Wang, Rui and Huang, Huaibo and He, Ran and He, Zhaofeng}, title = {Pluralistic Aging Diffusion Autoencoder}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22613-22623} }
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_ICCV, author = {Hu, Yushi and Liu, Benlin and Kasai, Jungo and Wang, Yizhong and Ostendorf, Mari and Krishna, Ranjay and Smith, Noah A.}, title = {TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20406-20417} }
Towards Models that Can See and Read-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ganz_2023_ICCV, author = {Ganz, Roy and Nuriel, Oren and Aberdam, Aviad and Kittenplon, Yair and Mazor, Shai and Litman, Ron}, title = {Towards Models that Can See and Read}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21718-21728} }
Query Refinement Transformer for 3D Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Lu_2023_ICCV, author = {Lu, Jiahao and Deng, Jiacheng and Wang, Chuxin and He, Jianfeng and Zhang, Tianzhu}, title = {Query Refinement Transformer for 3D Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18516-18526} }
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Zhuoqian and Li, Shikai and Wu, Wayne and Dai, Bo}, title = {3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23008-23019} }
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sanyal_2023_ICCV, author = {Sanyal, Sunandini and Asokan, Ashish Ramayee and Bhambri, Suvaansh and Kulkarni, Akshay and Kundu, Jogendra Nath and Babu, R Venkatesh}, title = {Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18928-18937} }
Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gan_2023_ICCV, author = {Gan, Yuan and Yang, Zongxin and Yue, Xihang and Sun, Lingyun and Yang, Yi}, title = {Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22634-22645} }
Object-aware Gaze Target Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tonini_2023_ICCV, author = {Tonini, Francesco and Dall'Asen, Nicola and Beyan, Cigdem and Ricci, Elisa}, title = {Object-aware Gaze Target Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21860-21869} }
VADER: Video Alignment Differencing and Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Black_2023_ICCV, author = {Black, Alexander and Jenni, Simon and Bui, Tu and Tanjim, Md. Mehrab and Petrangeli, Stefano and Sinha, Ritwik and Swaminathan, Viswanathan and Collomosse, John}, title = {VADER: Video Alignment Differencing and Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22357-22367} }
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Zijian and Shi, Miaojing and Caesar, Holger}, title = {HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21637-21648} }
Chop & Learn: Recognizing and Generating Object-State Compositions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saini_2023_ICCV, author = {Saini, Nirat and Wang, Hanyu and Swaminathan, Archana and Jayasundara, Vinoj and He, Bo and Gupta, Kamal and Shrivastava, Abhinav}, title = {Chop \& Learn: Recognizing and Generating Object-State Compositions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20247-20258} }
Automatic Animation of Hair Blowing in Still Portrait Photos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiao_2023_ICCV, author = {Xiao, Wenpeng and Liu, Wentao and Wang, Yitong and Ghanem, Bernard and Li, Bing}, title = {Automatic Animation of Hair Blowing in Still Portrait Photos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22963-22975} }
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_ICCV, author = {Zhu, Minghan and Han, Shizhong and Cai, Hong and Borse, Shubhankar and Ghaffari, Maani and Porikli, Fatih}, title = {4D Panoptic Segmentation as Invariant and Equivariant Field Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22488-22498} }
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Barron_2023_ICCV, author = {Barron, Jonathan T. and Mildenhall, Ben and Verbin, Dor and Srinivasan, Pratul P. and Hedman, Peter}, title = {Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19697-19705} }
Neural-PBIR Reconstruction of Shape, Material, and Illumination-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_ICCV, author = {Sun, Cheng and Cai, Guangyan and Li, Zhengqin and Yan, Kai and Zhang, Cheng and Marshall, Carl and Huang, Jia-Bin and Zhao, Shuang and Dong, Zhao}, title = {Neural-PBIR Reconstruction of Shape, Material, and Illumination}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18046-18056} }
Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Yin and Leng, Zhiying and Li, Frederick W. B. and Wu, Shun-Cheng and Liang, Xiaohui}, title = {Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22035-22044} }
BlindHarmony: "Blind" Harmonization for MR Images via Flow Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeong_2023_ICCV, author = {Jeong, Hwihun and Byun, Heejoon and Kang, Dong Un and Lee, Jongho}, title = {BlindHarmony: ''Blind'' Harmonization for MR Images via Flow Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21129-21139} }
Efficient LiDAR Point Cloud Oversegmentation Network-
[pdf]
[supp]
[bibtex]@InProceedings{Hui_2023_ICCV, author = {Hui, Le and Tang, Linghua and Dai, Yuchao and Xie, Jin and Yang, Jian}, title = {Efficient LiDAR Point Cloud Oversegmentation Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18003-18012} }
Few-Shot Video Classification via Representation Fusion and Promotion Learning-
[pdf]
[bibtex]@InProceedings{Xia_2023_ICCV, author = {Xia, Haifeng and Li, Kai and Min, Martin Renqiang and Ding, Zhengming}, title = {Few-Shot Video Classification via Representation Fusion and Promotion Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19311-19320} }
Hallucination Improves the Performance of Unsupervised Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Jing and Hobbs, Jennifer and Hovakimyan, Naira}, title = {Hallucination Improves the Performance of Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16132-16143} }
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_ICCV, author = {Xie, Zeke and Yang, Xindi and Yang, Yujie and Sun, Qi and Jiang, Yixiang and Wang, Haoran and Cai, Yunfeng and Sun, Mingming}, title = {S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18024-18034} }
Membrane Potential Batch Normalization for Spiking Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2023_ICCV, author = {Guo, Yufei and Zhang, Yuhan and Chen, Yuanpei and Peng, Weihang and Liu, Xiaode and Zhang, Liwen and Huang, Xuhui and Ma, Zhe}, title = {Membrane Potential Batch Normalization for Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19420-19430} }
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gui_2023_ICCV, author = {Gui, Guan and Zhao, Zhen and Qi, Lei and Zhou, Luping and Wang, Lei and Shi, Yinghuan}, title = {Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15880-15889} }
Imitator: Personalized Speech-driven 3D Facial Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Thambiraja_2023_ICCV, author = {Thambiraja, Balamurugan and Habibie, Ikhsanul and Aliakbarian, Sadegh and Cosker, Darren and Theobalt, Christian and Thies, Justus}, title = {Imitator: Personalized Speech-driven 3D Facial Animation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20621-20631} }
Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Yinhe and Shi, Sunan and Wang, Junjue and Zhong, Yanfei}, title = {Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16868-16878} }
WALDO: Future Video Synthesis Using Object Layer Decomposition and Parametric Flow Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_Moing_2023_ICCV, author = {Le Moing, Guillaume and Ponce, Jean and Schmid, Cordelia}, title = {WALDO: Future Video Synthesis Using Object Layer Decomposition and Parametric Flow Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23229-23241} }
Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision-
[pdf]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Zhihua and Yin, Lijun}, title = {Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20588-20597} }
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions-
[pdf]
[supp]
[bibtex]@InProceedings{Haque_2023_ICCV, author = {Haque, Ayaan and Tancik, Matthew and Efros, Alexei A. and Holynski, Aleksander and Kanazawa, Angjoo}, title = {Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19740-19750} }
Multi-Task Learning with Knowledge Distillation for Dense Prediction-
[pdf]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Yangyang and Yang, Yibo and Zhang, Lefei}, title = {Multi-Task Learning with Knowledge Distillation for Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21550-21559} }
ICD-Face: Intra-class Compactness Distillation for Face Recognition-
[pdf]
[bibtex]@InProceedings{Yu_2023_ICCV, author = {Yu, Zhipeng and Liu, Jiaheng and Qin, Haoyu and Wu, Yichao and Hu, Kun and Tian, Jiayi and Liang, Ding}, title = {ICD-Face: Intra-class Compactness Distillation for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21042-21052} }
MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Qiushi and Li, Wuyang and Li, Baopu and Yuan, Yixuan}, title = {MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21452-21462} }
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_ICCV, author = {Ye, Hanrong and Xu, Dan}, title = {TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21828-21837} }
Meta OOD Learning For Continuously Adaptive OOD Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_ICCV, author = {Wu, Xinheng and Lu, Jie and Fang, Zhen and Zhang, Guangquan}, title = {Meta OOD Learning For Continuously Adaptive OOD Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19353-19364} }
Few-shot Continual Infomax Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Gu_2023_ICCV, author = {Gu, Ziqi and Xu, Chunyan and Yang, Jian and Cui, Zhen}, title = {Few-shot Continual Infomax Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19224-19233} }
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_ICCV, author = {Lin, Jiawei and Guo, Jiaqi and Sun, Shizhao and Xu, Weijiang and Liu, Ting and Lou, Jian-Guang and Zhang, Dongmei}, title = {A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23622-23631} }
A Retrospect to Multi-prompt Learning across Vision and Language-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Ziliang and Huang, Xin and Guan, Quanlong and Lin, Liang and Luo, Weiqi}, title = {A Retrospect to Multi-prompt Learning across Vision and Language}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22190-22201} }
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_ICCV, author = {Park, Sunghyun and Yang, Seunghan and Choo, Jaegul and Yun, Sungrack}, title = {Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16421-16431} }
Dataset Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_ICCV, author = {Zhou, Daquan and Wang, Kai and Gu, Jianyang and Peng, Xiangyu and Lian, Dongze and Zhang, Yifan and You, Yang and Feng, Jiashi}, title = {Dataset Quantization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17205-17216} }
Overcoming Forgetting Catastrophe in Quantization-Aware Training-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Ting-An and Yang, De-Nian and Chen, Ming-Syan}, title = {Overcoming Forgetting Catastrophe in Quantization-Aware Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17358-17367} }
Efficient Video Prediction via Sparsely Conditioned Flow Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Davtyan_2023_ICCV, author = {Davtyan, Aram and Sameni, Sepehr and Favaro, Paolo}, title = {Efficient Video Prediction via Sparsely Conditioned Flow Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23263-23274} }
Surface Normal Clustering for Implicit Representation of Manhattan Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Popovic_2023_ICCV, author = {Popovic, Nikola and Paudel, Danda Pani and Van Gool, Luc}, title = {Surface Normal Clustering for Implicit Representation of Manhattan Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17860-17870} }
Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Lebailly_2023_ICCV, author = {Lebailly, Tim and Stegm\"uller, Thomas and Bozorgtabar, Behzad and Thiran, Jean-Philippe and Tuytelaars, Tinne}, title = {Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16505-16514} }
Generalized Differentiable RANSAC-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Tong and Patel, Yash and Shekhovtsov, Alexander and Matas, Jiri and Barath, Daniel}, title = {Generalized Differentiable RANSAC}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17649-17660} }
ResQ: Residual Quantization for Video Perception-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abati_2023_ICCV, author = {Abati, Davide and Ben Yahia, Haitam and Nagel, Markus and Habibian, Amirhossein}, title = {ResQ: Residual Quantization for Video Perception}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17119-17129} }
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_ICCV, author = {Lin, Fangfei and Bai, Bing and Guo, Yiwen and Chen, Hao and Ren, Yazhou and Xu, Zenglin}, title = {MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16525-16535} }
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stier_2023_ICCV, author = {Stier, Noah and Ranjan, Anurag and Colburn, Alex and Yan, Yajie and Yang, Liang and Ma, Fangchang and Angles, Baptiste}, title = {FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18423-18432} }
Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Alibeigi_2023_ICCV, author = {Alibeigi, Mina and Ljungbergh, William and Tonderski, Adam and Hess, Georg and Lilja, Adam and Lindstr\"om, Carl and Motorniuk, Daria and Fu, Junsheng and Widahl, Jenny and Petersson, Christoffer}, title = {Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20178-20188} }
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, Jungbeom and Lee, Sungjin and Nam, Jinseok and Yu, Seunghak and Do, Jaeyoung and Taghavi, Tara}, title = {Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21870-21881} }
Parameterized Cost Volume for Stereo Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2023_ICCV, author = {Zeng, Jiaxi and Yao, Chengtang and Yu, Lidong and Wu, Yuwei and Jia, Yunde}, title = {Parameterized Cost Volume for Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18347-18357} }
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wilson_2023_ICCV, author = {Wilson, Samuel and Fischer, Tobias and Dayoub, Feras and Miller, Dimity and S\"underhauf, Niko}, title = {SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23565-23576} }
DREAM: Efficient Dataset Distillation by Representative Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Yanqing and Gu, Jianyang and Wang, Kai and Zhu, Zheng and Jiang, Wei and You, Yang}, title = {DREAM: Efficient Dataset Distillation by Representative Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17314-17324} }
Focus on Your Target: A Dual Teacher-Student Framework for Domain-Adaptive Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huo_2023_ICCV, author = {Huo, Xinyue and Xie, Lingxi and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {Focus on Your Target: A Dual Teacher-Student Framework for Domain-Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19027-19038} }
Enhanced Meta Label Correction for Coping with Label Corruption-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Taraday_2023_ICCV, author = {Taraday, Mitchell Keren and Baskin, Chaim}, title = {Enhanced Meta Label Correction for Coping with Label Corruption}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16295-16304} }
Will Large-scale Generative Models Corrupt Future Datasets?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hataya_2023_ICCV, author = {Hataya, Ryuichiro and Bao, Han and Arai, Hiromi}, title = {Will Large-scale Generative Models Corrupt Future Datasets?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20555-20565} }
SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Girish_2023_ICCV, author = {Girish, Sharath and Shrivastava, Abhinav and Gupta, Kamal}, title = {SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17513-17524} }
A Low-Shot Object Counting Network With Iterative Prototype Adaptation-
[pdf]
[bibtex]@InProceedings{Dukic_2023_ICCV, author = {{\DJ}uki\'c, Nikola and Luke\v{z}i\v{c}, Alan and Zavrtanik, Vitjan and Kristan, Matej}, title = {A Low-Shot Object Counting Network With Iterative Prototype Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18872-18881} }
MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sadoughi_2023_ICCV, author = {Sadoughi, Najmeh and Li, Xinyu and Vajpayee, Avijit and Fan, David and Shuai, Bing and Santos-Villalobos, Hector and Bhat, Vimal and MV, Rohith}, title = {MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23331-23340} }
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Mengzhao and Shao, Wenqi and Xu, Peng and Lin, Mingbao and Zhang, Kaipeng and Chao, Fei and Ji, Rongrong and Qiao, Yu and Luo, Ping}, title = {DiffRate : Differentiable Compression Rate for Efficient Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17164-17174} }
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_ICCV, author = {Cao, Haozhi and Xu, Yuecong and Yang, Jianfei and Yin, Pengyu and Yuan, Shenghai and Xie, Lihua}, title = {Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18809-18819} }
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_ICCV, author = {Zhu, Zhenwei and Yang, Liying and Li, Ning and Jiang, Chaohao and Liang, Yanyan}, title = {UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18226-18235} }
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy-
[pdf]
[supp]
[bibtex]@InProceedings{Ngo_2023_ICCV, author = {Ngo, Ba Hung and Chae, Yeon Jeong and Kwon, Jung Eun and Park, Jae Hyeon and Cho, Sung In}, title = {Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19214-19223} }
InterFormer: Real-time Interactive Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, You and Yang, Hao and Sun, Ke and Zhang, Shengchuan and Cao, Liujuan and Jiang, Guannan and Ji, Rongrong}, title = {InterFormer: Real-time Interactive Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22301-22311} }
Online Prototype Learning for Online Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Yujie and Ye, Jiaxin and Huang, Zhizhong and Zhang, Junping and Shan, Hongming}, title = {Online Prototype Learning for Online Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18764-18774} }
Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Low_2023_ICCV, author = {Low, Weng Fei and Lee, Gim Hee}, title = {Robust e-NeRF: NeRF from Sparse \& Noisy Events under Non-Uniform Motion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18335-18346} }
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mu_2023_ICCV, author = {Mu, Jiteng and Sang, Shen and Vasconcelos, Nuno and Wang, Xiaolong}, title = {ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18391-18401} }
Multiple Planar Object Tracking-
[pdf]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Zhicheng and Liu, Shengzhe and Yang, Jufeng}, title = {Multiple Planar Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23460-23470} }
Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Ze and Li, Ruibo and Ling, Evan and Zhang, Chi and Wang, Yiming and Huang, Dezhao and Ma, Keng Teck and Hur, Minhoe and Lin, Guosheng}, title = {Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18601-18612} }
PRANC: Pseudo RAndom Networks for Compacting Deep Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nooralinejad_2023_ICCV, author = {Nooralinejad, Parsa and Abbasi, Ali and Koohpayegani, Soroush Abbasi and Meibodi, Kossar Pourahmadi and Khan, Rana Muhammad Shahroz and Kolouri, Soheil and Pirsiavash, Hamed}, title = {PRANC: Pseudo RAndom Networks for Compacting Deep Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17021-17031} }
Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Fangyin and Funkhouser, Thomas and Rusinkiewicz, Szymon}, title = {Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18131-18141} }
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Lei and Liu, Bo and Liang, Fangfang and Wang, Bincheng}, title = {Hierarchical Spatio-Temporal Representation Learning for Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19639-19649} }
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Yiwen and Sun, Yixuan and Lai, Chenghang and Xu, Qing and Wang, Xiaomei and Shen, Xuli and Ge, Weifeng}, title = {Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16254-16263} }
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_ICCV, author = {Xie, Baao and Li, Bohan and Zhang, Zequn and Dong, Junting and Jin, Xin and Yang, Jingyu and Zeng, Wenjun}, title = {NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17992-18002} }
Image-Free Classifier Injection for Zero-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Christensen_2023_ICCV, author = {Christensen, Anders and Mancini, Massimiliano and Koepke, A. Sophia and Winther, Ole and Akata, Zeynep}, title = {Image-Free Classifier Injection for Zero-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19072-19081} }
Semantically Structured Image Compression via Irregular Group-Based Decoupling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_ICCV, author = {Feng, Ruoyu and Gao, Yixin and Jin, Xin and Feng, Runsen and Chen, Zhibo}, title = {Semantically Structured Image Compression via Irregular Group-Based Decoupling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17237-17247} }
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning-
[pdf]
[bibtex]@InProceedings{Zhu_2023_ICCV, author = {Zhu, Kai and Zheng, Kecheng and Feng, Ruili and Zhao, Deli and Cao, Yang and Zha, Zheng-Jun}, title = {Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19204-19213} }
Preserving Tumor Volumes for Unsupervised Medical Image Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_ICCV, author = {Dong, Qihua and Du, Hao and Song, Ying and Xu, Yan and Liao, Jing}, title = {Preserving Tumor Volumes for Unsupervised Medical Image Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21208-21218} }
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, JoonHo and Woo, Jae Oh and Moon, Hankyu and Lee, Kwonho}, title = {Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16443-16452} }
MATE: Masked Autoencoders are Online 3D Test-Time Learners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mirza_2023_ICCV, author = {Mirza, M. Jehanzeb and Shin, Inkyu and Lin, Wei and Schriebl, Andreas and Sun, Kunyang and Choe, Jaesung and Kozinski, Mateusz and Possegger, Horst and Kweon, In So and Yoon, Kuk-Jin and Bischof, Horst}, title = {MATE: Masked Autoencoders are Online 3D Test-Time Learners}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16709-16718} }
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2023_ICCV, author = {Gu, Bohai and Fan, Heng and Zhang, Libo}, title = {Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23545-23554} }
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Long_2023_ICCV, author = {Long, Sifan and Zhao, Zhen and Yuan, Junkun and Tan, Zichang and Liu, Jiangjiang and Zhou, Luping and Wang, Shengsheng and Wang, Jingdong}, title = {Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21959-21969} }
NeMF: Inverse Volume Rendering with Neural Microflake Field-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Youjia and Xu, Teng and Yu, Junqing and Ye, Yuteng and Jing, Yanqing and Wang, Junle and Yu, Jingyi and Yang, Wei}, title = {NeMF: Inverse Volume Rendering with Neural Microflake Field}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22919-22929} }
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_ICCV, author = {Cao, Mingdeng and Wang, Xintao and Qi, Zhongang and Shan, Ying and Qie, Xiaohu and Zheng, Yinqiang}, title = {MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22560-22570} }
Understanding Hessian Alignment for Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hemati_2023_ICCV, author = {Hemati, Sobhan and Zhang, Guojun and Estiri, Amir and Chen, Xi}, title = {Understanding Hessian Alignment for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19004-19014} }
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2023_ICCV, author = {Ge, Songwei and Nah, Seungjun and Liu, Guilin and Poon, Tyler and Tao, Andrew and Catanzaro, Bryan and Jacobs, David and Huang, Jia-Bin and Liu, Ming-Yu and Balaji, Yogesh}, title = {Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22930-22941} }
Revisiting Vision Transformer from the View of Path Ensemble-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2023_ICCV, author = {Chang, Shuning and Wang, Pichao and Luo, Hao and Wang, Fan and Shou, Mike Zheng}, title = {Revisiting Vision Transformer from the View of Path Ensemble}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19889-19899} }
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra-
[pdf]
[supp]
[bibtex]@InProceedings{Kulhanek_2023_ICCV, author = {Kulhanek, Jonas and Sattler, Torsten}, title = {Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18458-18469} }
Ablating Concepts in Text-to-Image Diffusion Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kumari_2023_ICCV, author = {Kumari, Nupur and Zhang, Bingliang and Wang, Sheng-Yu and Shechtman, Eli and Zhang, Richard and Zhu, Jun-Yan}, title = {Ablating Concepts in Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22691-22702} }
MapFormer: Boosting Change Detection by Using Pre-change Information-
[pdf]
[supp]
[bibtex]@InProceedings{Bernhard_2023_ICCV, author = {Bernhard, Maximilian and Strau{\ss}, Niklas and Schubert, Matthias}, title = {MapFormer: Boosting Change Detection by Using Pre-change Information}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16837-16846} }
Masked Diffusion Transformer is a Strong Image Synthesizer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_ICCV, author = {Gao, Shanghua and Zhou, Pan and Cheng, Ming-Ming and Yan, Shuicheng}, title = {Masked Diffusion Transformer is a Strong Image Synthesizer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23164-23173} }
LightDepth: Single-View Depth Self-Supervision from Illumination Decline-
[pdf]
[supp]
[bibtex]@InProceedings{Rodriguez-Puigvert_2023_ICCV, author = {Rodr{\'\i}guez-Puigvert, Javier and Batlle, V{\'\i}ctor M. and Montiel, J.M.M. and Martinez-Cantin, Ruben and Fua, Pascal and Tard\'os, Juan D. and Civera, Javier}, title = {LightDepth: Single-View Depth Self-Supervision from Illumination Decline}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21273-21283} }
Referring Image Segmentation Using Text Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Fang and Liu, Yuhao and Kong, Yuqiu and Xu, Ke and Zhang, Lihe and Yin, Baocai and Hancke, Gerhard and Lau, Rynson}, title = {Referring Image Segmentation Using Text Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22124-22134} }
Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2023_ICCV, author = {Fan, Lue and Yang, Yuxue and Mao, Yiming and Wang, Feng and Chen, Yuntao and Wang, Naiyan and Zhang, Zhaoxiang}, title = {Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19820-19829} }
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dutson_2023_ICCV, author = {Dutson, Matthew and Li, Yin and Gupta, Mohit}, title = {Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16911-16923} }
Robust Referring Video Object Segmentation with Cyclic Structural Consensus-
[pdf]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Xiang and Wang, Jinglu and Xu, Xiaohao and Li, Xiao and Raj, Bhiksha and Lu, Yan}, title = {Robust Referring Video Object Segmentation with Cyclic Structural Consensus}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22236-22245} }
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Shao_2023_ICCV, author = {Shao, Huiyang and Xu, Qianqian and Wen, Peisong and Gao, Peifeng and Yang, Zhiyong and Huang, Qingming}, title = {Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20259-20269} }
Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sklyarova_2023_ICCV, author = {Sklyarova, Vanessa and Chelishev, Jenya and Dogaru, Andreea and Medvedev, Igor and Lempitsky, Victor and Zakharov, Egor}, title = {Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19762-19773} }
DG-Recon: Depth-Guided Neural 3D Scene Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Ju_2023_ICCV, author = {Ju, Jihong and Tseng, Ching Wei and Bailo, Oleksandr and Dikov, Georgi and Ghafoorian, Mohsen}, title = {DG-Recon: Depth-Guided Neural 3D Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18184-18194} }
The Stable Signature: Rooting Watermarks in Latent Diffusion Models-
[pdf]
[supp]
[bibtex]@InProceedings{Fernandez_2023_ICCV, author = {Fernandez, Pierre and Couairon, Guillaume and J\'egou, Herv\'e and Douze, Matthijs and Furon, Teddy}, title = {The Stable Signature: Rooting Watermarks in Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22466-22477} }
Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_ICCV, author = {Wang, Xiangyu and Zhu, Jingsen and Ye, Qi and Huo, Yuchi and Ran, Yunlong and Zhong, Zhihua and Chen, Jiming}, title = {Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17683-17693} }
NeRF-MS: Neural Radiance Fields with Multi-Sequence-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Peihao and Wang, Shaohui and Yang, Chen and Liu, Bingbing and Qiu, Weichao and Wang, Haoqian}, title = {NeRF-MS: Neural Radiance Fields with Multi-Sequence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18591-18600} }
Diffusion Model as Representation Learner-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Xingyi and Wang, Xinchao}, title = {Diffusion Model as Representation Learner}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18938-18949} }
Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Warburg_2023_ICCV, author = {Warburg, Frederik and Weber, Ethan and Tancik, Matthew and Holynski, Aleksander and Kanazawa, Angjoo}, title = {Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18120-18130} }
Document Understanding Dataset and Evaluation (DUDE)-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Van_Landeghem_2023_ICCV, author = {Van Landeghem, Jordy and Tito, Rub\`en and Borchmann, {\L}ukasz and Pietruszka, Micha{\l} and Joziak, Pawel and Powalski, Rafal and Jurkiewicz, Dawid and Coustaty, Mickael and Anckaert, Bertrand and Valveny, Ernest and Blaschko, Matthew and Moens, Sien and Stanislawek, Tomasz}, title = {Document Understanding Dataset and Evaluation (DUDE)}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19528-19540} }
Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_ICCV, author = {Huang, Kai and Wang, Feigege and Xi, Ye and Gao, Yutao}, title = {Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19256-19265} }
Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Noh_2023_ICCV, author = {Noh, SoonCheol and Jeong, DongEon and Lee, Jee-Hyong}, title = {Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16560-16569} }
CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Shuo and He, Yue and Zhang, Weiming and Zhang, Wei and Tan, Xiao and Han, Junyu and Ding, Errui and Wang, Jingdong}, title = {CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16348-16358} }
SLAN: Self-Locator Aided Network for Vision-Language Understanding-
[pdf]
[bibtex]@InProceedings{Zhai_2023_ICCV, author = {Zhai, Jiang-Tian and Zhang, Qi and Wu, Tong and Chen, Xing-Yu and Liu, Jiang-Jiang and Cheng, Ming-Ming}, title = {SLAN: Self-Locator Aided Network for Vision-Language Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21949-21958} }
Anomaly Detection using Score-based Perturbation Resilience-
[pdf]
[supp]
[bibtex]@InProceedings{Shin_2023_ICCV, author = {Shin, Woosang and Lee, Jonghyeon and Lee, Taehan and Lee, Sangmoon and Yun, Jong Pil}, title = {Anomaly Detection using Score-based Perturbation Resilience}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23372-23382} }
Generating Visual Scenes from Touch-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Fengyu and Zhang, Jiacheng and Owens, Andrew}, title = {Generating Visual Scenes from Touch}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22070-22080} }
SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bastani_2023_ICCV, author = {Bastani, Favyen and Wolters, Piper and Gupta, Ritwik and Ferdinando, Joe and Kembhavi, Aniruddha}, title = {SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16772-16782} }
DReg-NeRF: Deep Registration for Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Yu and Lee, Gim Hee}, title = {DReg-NeRF: Deep Registration for Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22703-22713} }
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ning_2023_ICCV, author = {Ning, Jia and Li, Chen and Zhang, Zheng and Wang, Chunyu and Geng, Zigang and Dai, Qi and He, Kun and Hu, Han}, title = {All in Tokens: Unifying Output Space of Visual Tasks via Soft Token}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19900-19910} }
LDL: Line Distance Functions for Panoramic Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_ICCV, author = {Kim, Junho and Choi, Changwoon and Jang, Hojun and Kim, Young Min}, title = {LDL: Line Distance Functions for Panoramic Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17882-17892} }
TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Yi-Hsin and Weng, Ying-Chieh and Kao, Chia-Hao and Chien, Cheng and Chiu, Wei-Chen and Peng, Wen-Hsiao}, title = {TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23297-23307} }
CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_ICCV, author = {Han, Sookwan and Joo, Hanbyul}, title = {CHORUS : Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15835-15846} }
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Varma_2023_ICCV, author = {Varma, Maya and Delbrouck, Jean-Benoit and Hooper, Sarah and Chaudhari, Akshay and Langlotz, Curtis}, title = {ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22225-22235} }
Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Zhihong and Diao, Shizhe and Wang, Benyou and Li, Guanbin and Wan, Xiang}, title = {Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23403-23413} }
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2023_ICCV, author = {Deng, Andong and Yang, Taojiannan and Chen, Chen}, title = {A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20519-20531} }
HoloFusion: Towards Photo-realistic 3D Generative Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Karnewar_2023_ICCV, author = {Karnewar, Animesh and Mitra, Niloy J. and Vedaldi, Andrea and Novotny, David}, title = {HoloFusion: Towards Photo-realistic 3D Generative Modeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22976-22985} }
Improving Continuous Sign Language Recognition with Cross-Lingual Signs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Fangyun and Chen, Yutong}, title = {Improving Continuous Sign Language Recognition with Cross-Lingual Signs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23612-23621} }
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Ziming and Shi, Yifeng and Jia, Jinrang}, title = {TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18205-18214} }
Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Zijing and Wei, Sitong and Chen, Qingchao and Li, Dehui and Yang, Yifan and Peng, Yuxin and Liu, Yang}, title = {Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19039-19049} }
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_ICCV, author = {Ding, Shuangrui and Zhao, Peisen and Zhang, Xiaopeng and Qian, Rui and Xiong, Hongkai and Tian, Qi}, title = {Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16945-16956} }
Growing a Brain with Sparsity-Inducing Generation for Continual Learning-
[pdf]
[bibtex]@InProceedings{Jin_2023_ICCV, author = {Jin, Hyundong and Kim, Gyeong-hyeon and Ahn, Chanho and Kim, Eunwoo}, title = {Growing a Brain with Sparsity-Inducing Generation for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18961-18970} }
Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Yifan and Zhang, Shuhai and Huang, Zixiong and Zhang, Yubing and Tan, Mingkui}, title = {Cross-Ray Neural Radiance Fields for Novel-View Synthesis from Unconstrained Image Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15901-15911} }
SPACE: Speech-driven Portrait Animation with Controllable Expression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gururani_2023_ICCV, author = {Gururani, Siddharth and Mallya, Arun and Wang, Ting-Chun and Valle, Rafael and Liu, Ming-Yu}, title = {SPACE: Speech-driven Portrait Animation with Controllable Expression}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20914-20923} }
End-to-end 3D Tracking with Decoupled Queries-
[pdf]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Yanwei and Yu, Zhiding and Philion, Jonah and Anandkumar, Anima and Fidler, Sanja and Jia, Jiaya and Alvarez, Jose}, title = {End-to-end 3D Tracking with Decoupled Queries}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18302-18311} }
Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Baixin and Zhang, Jiarui and Lin, Kwan-Yee and Qian, Chen and He, Ying}, title = {Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17924-17934} }
Density-invariant Features for Distant Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_ICCV, author = {Liu, Quan and Zhu, Hongzi and Zhou, Yunsong and Li, Hongyang and Chang, Shan and Guo, Minyi}, title = {Density-invariant Features for Distant Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18215-18225} }
UniverSeg: Universal Medical Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Butoi_2023_ICCV, author = {Butoi, Victor Ion and Ortiz, Jose Javier Gonzalez and Ma, Tianyu and Sabuncu, Mert R. and Guttag, John and Dalca, Adrian V.}, title = {UniverSeg: Universal Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21438-21451} }
Diffusion Models as Masked Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Chen and Mangalam, Karttikeya and Huang, Po-Yao and Li, Yanghao and Fan, Haoqi and Xu, Hu and Wang, Huiyu and Xie, Cihang and Yuille, Alan and Feichtenhofer, Christoph}, title = {Diffusion Models as Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16284-16294} }
One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Drehwald_2023_ICCV, author = {Drehwald, Manuel S. and Eppel, Sagi and Li, Jolina and Hao, Han and Aspuru-Guzik, Alan}, title = {One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23524-23533} }
HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2023_ICCV, author = {Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Zhang, Weiming and Hua, Gang and Yu, Nenghai}, title = {HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23589-23599} }
DocTr: Document Transformer for Structured Information Extraction in Documents-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liao_2023_ICCV, author = {Liao, Haofu and RoyChowdhury, Aruni and Li, Weijian and Bansal, Ankan and Zhang, Yuting and Tu, Zhuowen and Satzoda, Ravi Kumar and Manmatha, R. and Mahadevan, Vijay}, title = {DocTr: Document Transformer for Structured Information Extraction in Documents}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {19584-19594} }
Role-Aware Interaction Generation from Textual Description-
[pdf]
[supp]
[bibtex]@InProceedings{Tanaka_2023_ICCV, author = {Tanaka, Mikihiro and Fujiwara, Kent}, title = {Role-Aware Interaction Generation from Textual Description}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {15999-16009} }
Continual Learning for Personalized Co-speech Gesture Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Ahuja_2023_ICCV, author = {Ahuja, Chaitanya and Joshi, Pratik and Ishii, Ryo and Morency, Louis-Philippe}, title = {Continual Learning for Personalized Co-speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20893-20903} }
DreamTeacher: Pretraining Image Backbones with Deep Generative Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_ICCV, author = {Li, Daiqing and Ling, Huan and Kar, Amlan and Acuna, David and Kim, Seung Wook and Kreis, Karsten and Torralba, Antonio and Fidler, Sanja}, title = {DreamTeacher: Pretraining Image Backbones with Deep Generative Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16698-16708} }
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Lei_2023_ICCV, author = {Lei, Pengcheng and Fang, Faming and Zhang, Guixu and Zeng, Tieyong}, title = {Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21296-21306} }
Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_ICCV, author = {Yang, Peiji and Wei, Huawei and Zhong, Yicheng and Wang, Zhisheng}, title = {Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21032-21041} }
WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Muyu and Zhan, Fangneng and Zhang, Jiahui and Yu, Yingchen and Zhang, Xiaoqin and Theobalt, Christian and Shao, Ling and Lu, Shijian}, title = {WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18195-18204} }
LoCUS: Learning Multiscale 3D-consistent Features from Posed Images-
[pdf]
[supp]
[bibtex]@InProceedings{Kloepfer_2023_ICCV, author = {Kloepfer, Dominik A. and Campbell, Dylan and Henriques, Jo\~ao F.}, title = {LoCUS: Learning Multiscale 3D-consistent Features from Posed Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16634-16644} }
Foreground Object Search by Distilling Composite Image Feature-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_ICCV, author = {Zhang, Bo and Sui, Jiacheng and Niu, Li}, title = {Foreground Object Search by Distilling Composite Image Feature}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22986-22995} }
Generalized Few-Shot Point Cloud Segmentation via Geometric Words-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Yating and Hu, Conghui and Zhao, Na and Lee, Gim Hee}, title = {Generalized Few-Shot Point Cloud Segmentation via Geometric Words}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21506-21515} }
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_ICCV, author = {Han, Tao and Bai, Lei and Liu, Lingbo and Ouyang, Wanli}, title = {STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {21848-21859} }
Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding-
[pdf]
[supp]
[bibtex]@InProceedings{Min_2023_ICCV, author = {Min, Zhixiang and Dibene, Juan Carlos and Dunn, Enrique}, title = {Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {22520-22530} }
C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_ICCV, author = {Xu, Luoyuan and Guan, Tao and Wang, Yuesong and Liu, Wenkai and Zeng, Zhaojie and Wang, Junle and Yang, Wei}, title = {C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {18291-18301} }
Fast Full-frame Video Stabilization with Iterative Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Weiyue and Li, Xin and Peng, Zhan and Luo, Xianrui and Ye, Xinyi and Lu, Hao and Cao, Zhiguo}, title = {Fast Full-frame Video Stabilization with Iterative Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23534-23544} }
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_ICCV, author = {Zhao, Bingchen and Wen, Xin and Han, Kai}, title = {Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {16623-16633} }
Rethinking Point Cloud Registration as Masking and Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_ICCV, author = {Chen, Guangyan and Wang, Meiling and Yuan, Li and Yang, Yi and Yue, Yufeng}, title = {Rethinking Point Cloud Registration as Masking and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {17717-17727} }
Human Part-wise 3D Motion Context Learning for Sign Language Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2023_ICCV, author = {Lee, Taeryung and Oh, Yeonguk and Lee, Kyoung Mu}, title = {Human Part-wise 3D Motion Context Learning for Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {20740-20750} }
Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection