ICCV 2023 Open Access Repository

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Towards Attack-tolerant Federated Learning via Critical Parameter Analysis: Sungwon Han,

Sungwon Park,

Fangzhao Wu,

Sundong Kim,

Bin Zhu,

Xing Xie,

Meeyoung Cha; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2023_ICCV, author = {Han, Sungwon and Park, Sungwon and Wu, Fangzhao and Kim, Sundong and Zhu, Bin and Xie, Xing and Cha, Meeyoung}, title = {Towards Attack-tolerant Federated Learning via Critical Parameter Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4999-5008} }
Stochastic Segmentation with Conditional Categorical Diffusion Models: Lukas Zbinden,

Lars Doorenbos,

Theodoros Pissas,

Adrian Thomas Huber,

Raphael Sznitman,

Pablo Márquez-Neila; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zbinden_2023_ICCV, author = {Zbinden, Lukas and Doorenbos, Lars and Pissas, Theodoros and Huber, Adrian Thomas and Sznitman, Raphael and M\'arquez-Neila, Pablo}, title = {Stochastic Segmentation with Conditional Categorical Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1119-1129} }
A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism: Minying Zhang,

Tianpeng Bu,

Lulu Hu; [pdf]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Minying and Bu, Tianpeng and Hu, Lulu}, title = {A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6264-6274} }
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient: Zhengzhi Lu,

He Wang,

Ziyi Chang,

Guoan Yang,

Hubert P. H. Shum; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2023_ICCV, author = {Lu, Zhengzhi and Wang, He and Chang, Ziyi and Yang, Guoan and Shum, Hubert P. H.}, title = {Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4597-4606} }
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving: Zhiyu Huang,

Haochen Liu,

Chen Lv; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2023_ICCV, author = {Huang, Zhiyu and Liu, Haochen and Lv, Chen}, title = {GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3903-3913} }
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels: Wenqiao Zhang,

Changshuo Liu,

Lingze Zeng,

Bengchin Ooi,

Siliang Tang,

Yueting Zhuang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Wenqiao and Liu, Changshuo and Zeng, Lingze and Ooi, Bengchin and Tang, Siliang and Zhuang, Yueting}, title = {Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1423-1432} }
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance: Lei Fan,

Bo Liu,

Haoxiang Li,

Ying Wu,

Gang Hua; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fan_2023_ICCV, author = {Fan, Lei and Liu, Bo and Li, Haoxiang and Wu, Ying and Hua, Gang}, title = {Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1338-1347} }
Texture Generation on 3D Meshes with Point-UV Diffusion: Xin Yu,

Peng Dai,

Wenbo Li,

Lan Ma,

Zhengzhe Liu,

Xiaojuan Qi; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2023_ICCV, author = {Yu, Xin and Dai, Peng and Li, Wenbo and Ma, Lan and Liu, Zhengzhe and Qi, Xiaojuan}, title = {Texture Generation on 3D Meshes with Point-UV Diffusion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4206-4216} }
Enhanced Soft Label for Semi-Supervised Semantic Segmentation: Jie Ma,

Chuan Wang,

Yang Liu,

Liang Lin,

Guanbin Li; [pdf] [supp]
[bibtex]
@InProceedings{Ma_2023_ICCV, author = {Ma, Jie and Wang, Chuan and Liu, Yang and Lin, Liang and Li, Guanbin}, title = {Enhanced Soft Label for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1185-1195} }
HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer: Hao Xiang,

Runsheng Xu,

Jiaqi Ma; [pdf] [supp]
[bibtex]
@InProceedings{Xiang_2023_ICCV, author = {Xiang, Hao and Xu, Runsheng and Ma, Jiaqi}, title = {HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {284-295} }
HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces: Stella Bounareli,

Christos Tzelepis,

Vasileios Argyriou,

Ioannis Patras,

Georgios Tzimiropoulos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bounareli_2023_ICCV, author = {Bounareli, Stella and Tzelepis, Christos and Argyriou, Vasileios and Patras, Ioannis and Tzimiropoulos, Georgios}, title = {HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7149-7159} }
Unified Visual Relationship Detection with Vision and Language Models: Long Zhao,

Liangzhe Yuan,

Boqing Gong,

Yin Cui,

Florian Schroff,

Ming-Hsuan Yang,

Hartwig Adam,

Ting Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Long and Yuan, Liangzhe and Gong, Boqing and Cui, Yin and Schroff, Florian and Yang, Ming-Hsuan and Adam, Hartwig and Liu, Ting}, title = {Unified Visual Relationship Detection with Vision and Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6962-6973} }
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis: Lukas Struppek,

Dominik Hintersdorf,

Kristian Kersting; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Struppek_2023_ICCV, author = {Struppek, Lukas and Hintersdorf, Dominik and Kersting, Kristian}, title = {Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4584-4596} }
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation: Koutilya PNVR,

Bharat Singh,

Pallabi Ghosh,

Behjat Siddiquie,

David Jacobs; [pdf] [supp]
[bibtex]
@InProceedings{PNVR_2023_ICCV, author = {PNVR, Koutilya and Singh, Bharat and Ghosh, Pallabi and Siddiquie, Behjat and Jacobs, David}, title = {LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4157-4168} }
Downstream-agnostic Adversarial Examples: Ziqi Zhou,

Shengshan Hu,

Ruizhi Zhao,

Qian Wang,

Leo Yu Zhang,

Junhui Hou,

Hai Jin; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2023_ICCV, author = {Zhou, Ziqi and Hu, Shengshan and Zhao, Ruizhi and Wang, Qian and Zhang, Leo Yu and Hou, Junhui and Jin, Hai}, title = {Downstream-agnostic Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4345-4355} }
Studying How to Efficiently and Effectively Guide Models with Explanations: Sukrut Rao,

Moritz Böhle,

Amin Parchami-Araghi,

Bernt Schiele; [pdf] [supp]
[bibtex]
@InProceedings{Rao_2023_ICCV, author = {Rao, Sukrut and B\"ohle, Moritz and Parchami-Araghi, Amin and Schiele, Bernt}, title = {Studying How to Efficiently and Effectively Guide Models with Explanations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1922-1933} }
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training: Hong Yan,

Yang Liu,

Yushen Wei,

Zhen Li,

Guanbin Li,

Liang Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2023_ICCV, author = {Yan, Hong and Liu, Yang and Wei, Yushen and Li, Zhen and Li, Guanbin and Lin, Liang}, title = {SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5606-5618} }
Pose-Free Neural Radiance Fields via Implicit Pose Regularization: Jiahui Zhang,

Fangneng Zhan,

Yingchen Yu,

Kunhao Liu,

Rongliang Wu,

Xiaoqin Zhang,

Ling Shao,

Shijian Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jiahui and Zhan, Fangneng and Yu, Yingchen and Liu, Kunhao and Wu, Rongliang and Zhang, Xiaoqin and Shao, Ling and Lu, Shijian}, title = {Pose-Free Neural Radiance Fields via Implicit Pose Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3534-3543} }
Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories: Thomas Mensink,

Jasper Uijlings,

Lluis Castrejon,

Arushi Goel,

Felipe Cadar,

Howard Zhou,

Fei Sha,

André Araujo,

Vittorio Ferrari; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mensink_2023_ICCV, author = {Mensink, Thomas and Uijlings, Jasper and Castrejon, Lluis and Goel, Arushi and Cadar, Felipe and Zhou, Howard and Sha, Fei and Araujo, Andr\'e and Ferrari, Vittorio}, title = {Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3113-3124} }
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View: Kelu Yao,

Jin Wang,

Boyu Diao,

Chao Li; [pdf] [supp]
[bibtex]
@InProceedings{Yao_2023_ICCV, author = {Yao, Kelu and Wang, Jin and Diao, Boyu and Li, Chao}, title = {Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2031-2041} }
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection: Changyong Shu,

Jiajun Deng,

Fisher Yu,

Yifan Liu; [pdf] [supp]
[bibtex]
@InProceedings{Shu_2023_ICCV, author = {Shu, Changyong and Deng, Jiajun and Yu, Fisher and Liu, Yifan}, title = {3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3580-3589} }
VertexSerum: Poisoning Graph Neural Networks for Link Inference: Ruyi Ding,

Shijin Duan,

Xiaolin Xu,

Yunsi Fei; [pdf] [arXiv]
[bibtex]
@InProceedings{Ding_2023_ICCV, author = {Ding, Ruyi and Duan, Shijin and Xu, Xiaolin and Fei, Yunsi}, title = {VertexSerum: Poisoning Graph Neural Networks for Link Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4532-4541} }
Deep Geometrized Cartoon Line Inbetweening: Li Siyao,

Tianpei Gu,

Weiye Xiao,

Henghui Ding,

Ziwei Liu,

Chen Change Loy; [pdf] [supp]
[bibtex]
@InProceedings{Siyao_2023_ICCV, author = {Siyao, Li and Gu, Tianpei and Xiao, Weiye and Ding, Henghui and Liu, Ziwei and Loy, Chen Change}, title = {Deep Geometrized Cartoon Line Inbetweening}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7291-7300} }
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond: Yixuan Li,

Lihan Jiang,

Linning Xu,

Yuanbo Xiangli,

Zhenzhi Wang,

Dahua Lin,

Bo Dai; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yixuan and Jiang, Lihan and Xu, Linning and Xiangli, Yuanbo and Wang, Zhenzhi and Lin, Dahua and Dai, Bo}, title = {MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3205-3215} }
LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis: Jiapeng Zhu,

Ceyuan Yang,

Yujun Shen,

Zifan Shi,

Bo Dai,

Deli Zhao,

Qifeng Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Jiapeng and Yang, Ceyuan and Shen, Yujun and Shi, Zifan and Dai, Bo and Zhao, Deli and Chen, Qifeng}, title = {LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7656-7666} }
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning: Ligong Han,

Yinxiao Li,

Han Zhang,

Peyman Milanfar,

Dimitris Metaxas,

Feng Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2023_ICCV, author = {Han, Ligong and Li, Yinxiao and Zhang, Han and Milanfar, Peyman and Metaxas, Dimitris and Yang, Feng}, title = {SVDiff: Compact Parameter Space for Diffusion Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7323-7334} }
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability: Xuanlin Li,

Yunhao Fang,

Minghua Liu,

Zhan Ling,

Zhuowen Tu,

Hao Su; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Xuanlin and Fang, Yunhao and Liu, Minghua and Ling, Zhan and Tu, Zhuowen and Su, Hao}, title = {Distilling Large Vision-Language Model with Out-of-Distribution Generalizability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2492-2503} }
What do neural networks learn in image classification? A frequency shortcut perspective: Shunxin Wang,

Raymond Veldhuis,

Christoph Brune,

Nicola Strisciuglio; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Shunxin and Veldhuis, Raymond and Brune, Christoph and Strisciuglio, Nicola}, title = {What do neural networks learn in image classification? A frequency shortcut perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1433-1442} }
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3: Yushi Hu,

Hang Hua,

Zhengyuan Yang,

Weijia Shi,

Noah A. Smith,

Jiebo Luo; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2023_ICCV, author = {Hu, Yushi and Hua, Hang and Yang, Zhengyuan and Shi, Weijia and Smith, Noah A. and Luo, Jiebo}, title = {PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2963-2975} }
Periodically Exchange Teacher-Student for Source-Free Object Detection: Qipeng Liu,

Luojun Lin,

Zhifeng Shen,

Zhifeng Yang; [pdf]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Qipeng and Lin, Luojun and Shen, Zhifeng and Yang, Zhifeng}, title = {Periodically Exchange Teacher-Student for Source-Free Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6414-6424} }
Learning to Transform for Generalizable Instance-wise Invariance: Utkarsh Singhal,

Carlos Esteves,

Ameesh Makadia,

Stella X. Yu; [pdf]
[bibtex]
@InProceedings{Singhal_2023_ICCV, author = {Singhal, Utkarsh and Esteves, Carlos and Makadia, Ameesh and Yu, Stella X.}, title = {Learning to Transform for Generalizable Instance-wise Invariance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6211-6221} }
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification: Wenhao Tang,

Sheng Huang,

Xiaoxian Zhang,

Fengtao Zhou,

Yi Zhang,

Bo Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2023_ICCV, author = {Tang, Wenhao and Huang, Sheng and Zhang, Xiaoxian and Zhou, Fengtao and Zhang, Yi and Liu, Bo}, title = {Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4078-4087} }
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models: Nan Liu,

Yilun Du,

Shuang Li,

Joshua B. Tenenbaum,

Antonio Torralba; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Nan and Du, Yilun and Li, Shuang and Tenenbaum, Joshua B. and Torralba, Antonio}, title = {Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2085-2095} }
Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts: Jiaxuan Li,

Duc Minh Vo,

Hideki Nakayama; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Jiaxuan and Vo, Duc Minh and Nakayama, Hideki}, title = {Partition-And-Debias: Agnostic Biases Mitigation via a Mixture of Biases-Specific Experts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4924-4934} }
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes: Di Wu,

Pengfei Chen,

Xuehui Yu,

Guorong Li,

Zhenjun Han,

Jianbin Jiao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Di and Chen, Pengfei and Yu, Xuehui and Li, Guorong and Han, Zhenjun and Jiao, Jianbin}, title = {Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6855-6865} }
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes: Sherwin Bahmani,

Jeong Joon Park,

Despoina Paschalidou,

Xingguang Yan,

Gordon Wetzstein,

Leonidas Guibas,

Andrea Tagliasacchi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bahmani_2023_ICCV, author = {Bahmani, Sherwin and Park, Jeong Joon and Paschalidou, Despoina and Yan, Xingguang and Wetzstein, Gordon and Guibas, Leonidas and Tagliasacchi, Andrea}, title = {CC3D: Layout-Conditioned Generation of Compositional 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7171-7181} }
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions: Chengyang Zhao,

Yikang Shen,

Zhenfang Chen,

Mingyu Ding,

Chuang Gan; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Chengyang and Shen, Yikang and Chen, Zhenfang and Ding, Mingyu and Gan, Chuang}, title = {TextPSG: Panoptic Scene Graph Generation from Textual Descriptions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2839-2850} }
Cross-modal Latent Space Alignment for Image to Avatar Translation: Manuel Ladron de Guevara,

Jose Echevarria,

Yijun Li,

Yannick Hold-Geoffroy,

Cameron Smith,

Daichi Ito; [pdf] [supp]
[bibtex]
@InProceedings{de_Guevara_2023_ICCV, author = {de Guevara, Manuel Ladron and Echevarria, Jose and Li, Yijun and Hold-Geoffroy, Yannick and Smith, Cameron and Ito, Daichi}, title = {Cross-modal Latent Space Alignment for Image to Avatar Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {520-529} }
Inspecting the Geographical Representativeness of Images from Text-to-Image Models: Abhipsa Basu,

R. Venkatesh Babu,

Danish Pruthi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Basu_2023_ICCV, author = {Basu, Abhipsa and Babu, R. Venkatesh and Pruthi, Danish}, title = {Inspecting the Geographical Representativeness of Images from Text-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5136-5147} }
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models: Chanyue Wu,

Dong Wang,

Yunpeng Bai,

Hanyu Mao,

Ying Li,

Qiang Shen; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Chanyue and Wang, Dong and Bai, Yunpeng and Mao, Hanyu and Li, Ying and Shen, Qiang}, title = {HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7083-7093} }
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training: Yao Ge,

Yun Li,

Keji Han,

Junyi Zhu,

Xianzhong Long; [pdf] [supp]
[bibtex]
@InProceedings{Ge_2023_ICCV, author = {Ge, Yao and Li, Yun and Han, Keji and Zhu, Junyi and Long, Xianzhong}, title = {Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {145-154} }
ShiftNAS: Improving One-shot NAS via Probability Shift: Mingyang Zhang,

Xinyi Yu,

Haodong Zhao,

Linlin Ou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Mingyang and Yu, Xinyi and Zhao, Haodong and Ou, Linlin}, title = {ShiftNAS: Improving One-shot NAS via Probability Shift}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5919-5928} }
Adaptive Testing of Computer Vision Models: Irena Gao,

Gabriel Ilharco,

Scott Lundberg,

Marco Tulio Ribeiro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2023_ICCV, author = {Gao, Irena and Ilharco, Gabriel and Lundberg, Scott and Ribeiro, Marco Tulio}, title = {Adaptive Testing of Computer Vision Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4003-4014} }
Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments: Shuang Song,

Yuanbang Liang,

Jing Wu,

Yu-Kun Lai,

Yipeng Qin; [pdf] [supp]
[bibtex]
@InProceedings{Song_2023_ICCV, author = {Song, Shuang and Liang, Yuanbang and Wu, Jing and Lai, Yu-Kun and Qin, Yipeng}, title = {Feature Proliferation -- the ''Cancer'' in StyleGAN and its Treatments}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2360-2370} }
Multi-Label Self-Supervised Learning with Scene Images: Ke Zhu,

Minghao Fu,

Jianxin Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Ke and Fu, Minghao and Wu, Jianxin}, title = {Multi-Label Self-Supervised Learning with Scene Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6694-6703} }
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization: Mingli Zhu,

Shaokui Wei,

Li Shen,

Yanbo Fan,

Baoyuan Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Mingli and Wei, Shaokui and Shen, Li and Fan, Yanbo and Wu, Baoyuan}, title = {Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4466-4477} }
Deep Geometry-Aware Camera Self-Calibration from Video: Annika Hagemann,

Moritz Knorr,

Christoph Stiller; [pdf] [supp]
[bibtex]
@InProceedings{Hagemann_2023_ICCV, author = {Hagemann, Annika and Knorr, Moritz and Stiller, Christoph}, title = {Deep Geometry-Aware Camera Self-Calibration from Video}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3438-3448} }
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection: Shihao Wang,

Yingfei Liu,

Tiancai Wang,

Ying Li,

Xiangyu Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Shihao and Liu, Yingfei and Wang, Tiancai and Li, Ying and Zhang, Xiangyu}, title = {Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3621-3631} }
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes: Chandan Yeshwanth,

Yueh-Cheng Liu,

Matthias Nießner,

Angela Dai; [pdf] [supp]
[bibtex]
@InProceedings{Yeshwanth_2023_ICCV, author = {Yeshwanth, Chandan and Liu, Yueh-Cheng and Nie{\ss}ner, Matthias and Dai, Angela}, title = {ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {12-22} }
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations: Seogkyu Jeon,

Bei Liu,

Pilhyeon Lee,

Kibeom Hong,

Jianlong Fu,

Hyeran Byun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jeon_2023_ICCV, author = {Jeon, Seogkyu and Liu, Bei and Lee, Pilhyeon and Hong, Kibeom and Fu, Jianlong and Byun, Hyeran}, title = {Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7258-7267} }
Vox-E: Text-Guided Voxel Editing of 3D Objects: Etai Sella,

Gal Fiebelman,

Peter Hedman,

Hadar Averbuch-Elor; [pdf] [supp]
[bibtex]
@InProceedings{Sella_2023_ICCV, author = {Sella, Etai and Fiebelman, Gal and Hedman, Peter and Averbuch-Elor, Hadar}, title = {Vox-E: Text-Guided Voxel Editing of 3D Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {430-440} }
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection: Guodong Wang,

Yunhong Wang,

Jie Qin,

Dongming Zhang,

Xiuguo Bao,

Di Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Guodong and Wang, Yunhong and Qin, Jie and Zhang, Dongming and Bao, Xiuguo and Huang, Di}, title = {Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6888-6897} }
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration: Kechun Liu,

Yitong Jiang,

Inchang Choi,

Jinwei Gu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Kechun and Jiang, Yitong and Choi, Inchang and Gu, Jinwei}, title = {Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5373-5383} }
3D Segmentation of Humans in Point Clouds with Synthetic Data: Ayça Takmaz,

Jonas Schult,

Irem Kaftan,

Mertcan Akçay,

Bastian Leibe,

Robert Sumner,

Francis Engelmann,

Siyu Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Takmaz_2023_ICCV, author = {Takmaz, Ay\c{c}a and Schult, Jonas and Kaftan, Irem and Ak\c{c}ay, Mertcan and Leibe, Bastian and Sumner, Robert and Engelmann, Francis and Tang, Siyu}, title = {3D Segmentation of Humans in Point Clouds with Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1292-1304} }
Mastering Spatial Graph Prediction of Road Networks: Anagnostidis Sotiris,

Aurelien Lucchi,

Thomas Hofmann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sotiris_2023_ICCV, author = {Sotiris, Anagnostidis and Lucchi, Aurelien and Hofmann, Thomas}, title = {Mastering Spatial Graph Prediction of Road Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5408-5418} }
Domain Generalization via Rationale Invariance: Liang Chen,

Yong Zhang,

Yibing Song,

Anton van den Hengel,

Lingqiao Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Liang and Zhang, Yong and Song, Yibing and van den Hengel, Anton and Liu, Lingqiao}, title = {Domain Generalization via Rationale Invariance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1751-1760} }
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models: Uddeshya Upadhyay,

Shyamgopal Karthik,

Massimiliano Mancini,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Upadhyay_2023_ICCV, author = {Upadhyay, Uddeshya and Karthik, Shyamgopal and Mancini, Massimiliano and Akata, Zeynep}, title = {ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1899-1910} }
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition: Isack Lee,

Eungi Lee,

Seok Bong Yoo; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2023_ICCV, author = {Lee, Isack and Lee, Eungi and Yoo, Seok Bong}, title = {Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1536-1546} }
Self-supervised Cross-view Representation Reconstruction for Change Captioning: Yunbin Tu,

Liang Li,

Li Su,

Zheng-Jun Zha,

Chenggang Yan,

Qingming Huang; [pdf] [supp]
[bibtex]
@InProceedings{Tu_2023_ICCV, author = {Tu, Yunbin and Li, Liang and Su, Li and Zha, Zheng-Jun and Yan, Chenggang and Huang, Qingming}, title = {Self-supervised Cross-view Representation Reconstruction for Change Captioning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2805-2815} }
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation: Yaowei Li,

Bang Yang,

Xuxin Cheng,

Zhihong Zhu,

Hongxiang Li,

Yuexian Zou; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yaowei and Yang, Bang and Cheng, Xuxin and Zhu, Zhihong and Li, Hongxiang and Zou, Yuexian}, title = {Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2863-2874} }
Scene-Aware Feature Matching: Xiaoyong Lu,

Yaping Yan,

Tong Wei,

Songlin Du; [pdf] [arXiv]
[bibtex]
@InProceedings{Lu_2023_ICCV, author = {Lu, Xiaoyong and Yan, Yaping and Wei, Tong and Du, Songlin}, title = {Scene-Aware Feature Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3704-3713} }
FDViT: Improve the Hierarchical Architecture of Vision Transformer: Yixing Xu,

Chao Li,

Dong Li,

Xiao Sheng,

Fan Jiang,

Lu Tian,

Ashish Sirasao; [pdf]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Yixing and Li, Chao and Li, Dong and Sheng, Xiao and Jiang, Fan and Tian, Lu and Sirasao, Ashish}, title = {FDViT: Improve the Hierarchical Architecture of Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5950-5960} }
Towards Robust Model Watermark via Reducing Parametric Vulnerability: Guanhao Gan,

Yiming Li,

Dongxian Wu,

Shu-Tao Xia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gan_2023_ICCV, author = {Gan, Guanhao and Li, Yiming and Wu, Dongxian and Xia, Shu-Tao}, title = {Towards Robust Model Watermark via Reducing Parametric Vulnerability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4751-4761} }
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions: Yaguan Qian,

Shuke He,

Chenyu Zhao,

Jiaqiang Sha,

Wei Wang,

Bin Wang; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2023_ICCV, author = {Qian, Yaguan and He, Shuke and Zhao, Chenyu and Sha, Jiaqiang and Wang, Wei and Wang, Bin}, title = {LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4510-4521} }
Unsupervised Domain Adaptive Detection with Network Stability Analysis: Wenzhang Zhou,

Heng Fan,

Tiejian Luo,

Libo Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2023_ICCV, author = {Zhou, Wenzhang and Fan, Heng and Luo, Tiejian and Zhang, Libo}, title = {Unsupervised Domain Adaptive Detection with Network Stability Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6986-6995} }
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions: Henghui Ding,

Chang Liu,

Shuting He,

Xudong Jiang,

Chen Change Loy; [pdf] [arXiv]
[bibtex]
@InProceedings{Ding_2023_ICCV, author = {Ding, Henghui and Liu, Chang and He, Shuting and Jiang, Xudong and Loy, Chen Change}, title = {MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2694-2703} }
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions: Chengkun Wang,

Wenzhao Zheng,

Zheng Zhu,

Jie Zhou,

Jiwen Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Chengkun and Zheng, Wenzhao and Zhu, Zheng and Zhou, Jie and Lu, Jiwen}, title = {OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5559-5570} }
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning: Jianqing Zhang,

Yang Hua,

Hao Wang,

Tao Song,

Zhengui Xue,

Ruhui Ma,

Jian Cao,

Haibing Guan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jianqing and Hua, Yang and Wang, Hao and Song, Tao and Xue, Zhengui and Ma, Ruhui and Cao, Jian and Guan, Haibing}, title = {GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5041-5051} }
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis: Jiahe Li,

Jiawei Zhang,

Xiao Bai,

Jun Zhou,

Lin Gu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Jiahe and Zhang, Jiawei and Bai, Xiao and Zhou, Jun and Gu, Lin}, title = {Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7568-7578} }
End2End Multi-View Feature Matching with Differentiable Pose Optimization: Barbara Roessle,

Matthias Nießner; [pdf] [supp]
[bibtex]
@InProceedings{Roessle_2023_ICCV, author = {Roessle, Barbara and Nie{\ss}ner, Matthias}, title = {End2End Multi-View Feature Matching with Differentiable Pose Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {477-487} }
Exploring the Benefits of Visual Prompting in Differential Privacy: Yizhe Li,

Yu-Lin Tsai,

Chia-Mu Yu,

Pin-Yu Chen,

Xuebin Ren; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yizhe and Tsai, Yu-Lin and Yu, Chia-Mu and Chen, Pin-Yu and Ren, Xuebin}, title = {Exploring the Benefits of Visual Prompting in Differential Privacy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5158-5167} }
Mining bias-target Alignment from Voronoi Cells: Rémi Nahon,

Van-Tam Nguyen,

Enzo Tartaglione; [pdf] [arXiv]
[bibtex]
@InProceedings{Nahon_2023_ICCV, author = {Nahon, R\'emi and Nguyen, Van-Tam and Tartaglione, Enzo}, title = {Mining bias-target Alignment from Voronoi Cells}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4946-4955} }
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data: Zixuan Zhu,

Rui Wang,

Cong Zou,

Lihua Jing; [pdf] [supp]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Zixuan and Wang, Rui and Zou, Cong and Jing, Lihua}, title = {The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {155-164} }
DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models: Ruiyuan Gao,

Chenchen Zhao,

Lanqing Hong,

Qiang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2023_ICCV, author = {Gao, Ruiyuan and Zhao, Chenchen and Hong, Lanqing and Xu, Qiang}, title = {DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1579-1589} }
Tracking Anything with Decoupled Video Segmentation: Ho Kei Cheng,

Seoung Wug Oh,

Brian Price,

Alexander Schwing,

Joon-Young Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2023_ICCV, author = {Cheng, Ho Kei and Oh, Seoung Wug and Price, Brian and Schwing, Alexander and Lee, Joon-Young}, title = {Tracking Anything with Decoupled Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1316-1326} }
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning: Chi Zhang,

Zhang Xiaoman,

Ekanut Sotthiwat,

Yanyu Xu,

Ping Liu,

Liangli Zhen,

Yong Liu; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Chi and Xiaoman, Zhang and Sotthiwat, Ekanut and Xu, Yanyu and Liu, Ping and Zhen, Liangli and Liu, Yong}, title = {Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5126-5135} }
EQ-Net: Elastic Quantization Neural Networks: Ke Xu,

Lei Han,

Ye Tian,

Shangshang Yang,

Xingyi Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Ke and Han, Lei and Tian, Ye and Yang, Shangshang and Zhang, Xingyi}, title = {EQ-Net: Elastic Quantization Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1505-1514} }
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only: Jun Chen,

Deyao Zhu,

Guocheng Qian,

Bernard Ghanem,

Zhicheng Yan,

Chenchen Zhu,

Fanyi Xiao,

Sean Chang Culatana,

Mohamed Elhoseiny; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Jun and Zhu, Deyao and Qian, Guocheng and Ghanem, Bernard and Yan, Zhicheng and Zhu, Chenchen and Xiao, Fanyi and Culatana, Sean Chang and Elhoseiny, Mohamed}, title = {Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {699-710} }
Parallax-Tolerant Unsupervised Deep Image Stitching: Lang Nie,

Chunyu Lin,

Kang Liao,

Shuaicheng Liu,

Yao Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nie_2023_ICCV, author = {Nie, Lang and Lin, Chunyu and Liao, Kang and Liu, Shuaicheng and Zhao, Yao}, title = {Parallax-Tolerant Unsupervised Deep Image Stitching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7399-7408} }
M2T: Masking Transformers Twice for Faster Decoding: Fabian Mentzer,

Eirikur Agustson,

Michael Tschannen; [pdf] [supp]
[bibtex]
@InProceedings{Mentzer_2023_ICCV, author = {Mentzer, Fabian and Agustson, Eirikur and Tschannen, Michael}, title = {M2T: Masking Transformers Twice for Faster Decoding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5340-5349} }
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations: Qiming Xia,

Jinhao Deng,

Chenglu Wen,

Hai Wu,

Shaoshuai Shi,

Xin Li,

Cheng Wang; [pdf] [supp]
[bibtex]
@InProceedings{Xia_2023_ICCV, author = {Xia, Qiming and Deng, Jinhao and Wen, Chenglu and Wu, Hai and Shi, Shaoshuai and Li, Xin and Wang, Cheng}, title = {CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6254-6263} }
Computation and Data Efficient Backdoor Attacks: Yutong Wu,

Xingshuo Han,

Han Qiu,

Tianwei Zhang; [pdf]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Yutong and Han, Xingshuo and Qiu, Han and Zhang, Tianwei}, title = {Computation and Data Efficient Backdoor Attacks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4805-4814} }
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering: Zi Qian,

Xin Wang,

Xuguang Duan,

Pengda Qin,

Yuhong Li,

Wenwu Zhu; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2023_ICCV, author = {Qian, Zi and Wang, Xin and Duan, Xuguang and Qin, Pengda and Li, Yuhong and Zhu, Wenwu}, title = {Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2953-2962} }
Unsupervised Manifold Linearizing and Clustering: Tianjiao Ding,

Shengbang Tong,

Kwan Ho Ryan Chan,

Xili Dai,

Yi Ma,

Benjamin D. Haeffele; [pdf] [arXiv]
[bibtex]
@InProceedings{Ding_2023_ICCV, author = {Ding, Tianjiao and Tong, Shengbang and Chan, Kwan Ho Ryan and Dai, Xili and Ma, Yi and Haeffele, Benjamin D.}, title = {Unsupervised Manifold Linearizing and Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5450-5461} }
MMVP: Motion-Matrix-Based Video Prediction: Yiqi Zhong,

Luming Liang,

Ilya Zharkov,

Ulrich Neumann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhong_2023_ICCV, author = {Zhong, Yiqi and Liang, Luming and Zharkov, Ilya and Neumann, Ulrich}, title = {MMVP: Motion-Matrix-Based Video Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4273-4283} }
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference: Xiaoshi Wu,

Keqiang Sun,

Feng Zhu,

Rui Zhao,

Hongsheng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Xiaoshi and Sun, Keqiang and Zhu, Feng and Zhao, Rui and Li, Hongsheng}, title = {Human Preference Score: Better Aligning Text-to-Image Models with Human Preference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2096-2105} }
Guided Motion Diffusion for Controllable Human Motion Synthesis: Korrawe Karunratanakul,

Konpat Preechakul,

Supasorn Suwajanakorn,

Siyu Tang; [pdf] [supp]
[bibtex]
@InProceedings{Karunratanakul_2023_ICCV, author = {Karunratanakul, Korrawe and Preechakul, Konpat and Suwajanakorn, Supasorn and Tang, Siyu}, title = {Guided Motion Diffusion for Controllable Human Motion Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2151-2162} }
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models: Weijia Wu,

Yuzhong Zhao,

Mike Zheng Shou,

Hong Zhou,

Chunhua Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Weijia and Zhao, Yuzhong and Shou, Mike Zheng and Zhou, Hong and Shen, Chunhua}, title = {DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1206-1217} }
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation: Aibek Alanov,

Vadim Titov,

Maksim Nakhodnov,

Dmitry Vetrov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Alanov_2023_ICCV, author = {Alanov, Aibek and Titov, Vadim and Nakhodnov, Maksim and Vetrov, Dmitry}, title = {StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2184-2194} }
RankMixup: Ranking-Based Mixup Training for Network Calibration: Jongyoun Noh,

Hyekang Park,

Junghyup Lee,

Bumsub Ham; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Noh_2023_ICCV, author = {Noh, Jongyoun and Park, Hyekang and Lee, Junghyup and Ham, Bumsub}, title = {RankMixup: Ranking-Based Mixup Training for Network Calibration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1358-1368} }
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis: Minho Park,

Jooyeol Yun,

Seunghwan Choi,

Jaegul Choo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2023_ICCV, author = {Park, Minho and Yun, Jooyeol and Choi, Seunghwan and Choo, Jaegul}, title = {Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7591-7600} }
Erasing Concepts from Diffusion Models: Rohit Gandikota,

Joanna Materzynska,

Jaden Fiotto-Kaufman,

David Bau; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gandikota_2023_ICCV, author = {Gandikota, Rohit and Materzynska, Joanna and Fiotto-Kaufman, Jaden and Bau, David}, title = {Erasing Concepts from Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2426-2436} }
Fully Attentional Networks with Self-emerging Token Labeling: Bingyin Zhao,

Zhiding Yu,

Shiyi Lan,

Yutao Cheng,

Anima Anandkumar,

Yingjie Lao,

Jose M. Alvarez; [pdf]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Bingyin and Yu, Zhiding and Lan, Shiyi and Cheng, Yutao and Anandkumar, Anima and Lao, Yingjie and Alvarez, Jose M.}, title = {Fully Attentional Networks with Self-emerging Token Labeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5585-5595} }
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion: Naufal Suryanto,

Yongsu Kim,

Harashta Tatimma Larasati,

Hyoeun Kang,

Thi-Thu-Huong Le,

Yoonyoung Hong,

Hunmin Yang,

Se-Yoon Oh,

Howon Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Suryanto_2023_ICCV, author = {Suryanto, Naufal and Kim, Yongsu and Larasati, Harashta Tatimma and Kang, Hyoeun and Le, Thi-Thu-Huong and Hong, Yoonyoung and Yang, Hunmin and Oh, Se-Yoon and Kim, Howon}, title = {ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4305-4314} }
Too Large; Data Reduction for Vision-Language Pre-Training: Alex Jinpeng Wang,

Kevin Qinghong Lin,

David Junhao Zhang,

Stan Weixian Lei,

Mike Zheng Shou; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Alex Jinpeng and Lin, Kevin Qinghong and Zhang, David Junhao and Lei, Stan Weixian and Shou, Mike Zheng}, title = {Too Large; Data Reduction for Vision-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3147-3157} }
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning: Junwen He,

Yifan Wang,

Lijun Wang,

Huchuan Lu,

Bin Luo,

Jun-Yan He,

Jin-Peng Lan,

Yifeng Geng,

Xuansong Xie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2023_ICCV, author = {He, Junwen and Wang, Yifan and Wang, Lijun and Lu, Huchuan and Luo, Bin and He, Jun-Yan and Lan, Jin-Peng and Geng, Yifeng and Xie, Xuansong}, title = {Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4111-4121} }
Point-Query Quadtree for Crowd Counting, Localization, and More: Chengxin Liu,

Hao Lu,

Zhiguo Cao,

Tongliang Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Chengxin and Lu, Hao and Cao, Zhiguo and Liu, Tongliang}, title = {Point-Query Quadtree for Crowd Counting, Localization, and More}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1676-1685} }
Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models: Guillaume Couairon,

Marlène Careil,

Matthieu Cord,

Stéphane Lathuilière,

Jakob Verbeek; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Couairon_2023_ICCV, author = {Couairon, Guillaume and Careil, Marl\`ene and Cord, Matthieu and Lathuili\`ere, St\'ephane and Verbeek, Jakob}, title = {Zero-Shot Spatial Layout Conditioning for Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2174-2183} }
SegGPT: Towards Segmenting Everything in Context: Xinlong Wang,

Xiaosong Zhang,

Yue Cao,

Wen Wang,

Chunhua Shen,

Tiejun Huang; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Xinlong and Zhang, Xiaosong and Cao, Yue and Wang, Wen and Shen, Chunhua and Huang, Tiejun}, title = {SegGPT: Towards Segmenting Everything in Context}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1130-1140} }
DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders: Xiaoyang Kang,

Tao Yang,

Wenqi Ouyang,

Peiran Ren,

Lingzhi Li,

Xuansong Xie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kang_2023_ICCV, author = {Kang, Xiaoyang and Yang, Tao and Ouyang, Wenqi and Ren, Peiran and Li, Lingzhi and Xie, Xuansong}, title = {DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {328-338} }
Visual Explanations via Iterated Integrated Attributions: Oren Barkan,

‪Yehonatan Elisha‬‏,

Yuval Asher,

Amit Eshel,

Noam Koenigstein; [pdf] [supp]
[bibtex]
@InProceedings{Barkan_2023_ICCV, author = {Barkan, Oren and Elisha‬‏, ‪Yehonatan and Asher, Yuval and Eshel, Amit and Koenigstein, Noam}, title = {Visual Explanations via Iterated Integrated Attributions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2073-2084} }
Pairwise Similarity Learning is SimPLE: Yandong Wen,

Weiyang Liu,

Yao Feng,

Bhiksha Raj,

Rita Singh,

Adrian Weller,

Michael J. Black,

Bernhard Schölkopf; [pdf] [supp]
[bibtex]
@InProceedings{Wen_2023_ICCV, author = {Wen, Yandong and Liu, Weiyang and Feng, Yao and Raj, Bhiksha and Singh, Rita and Weller, Adrian and Black, Michael J. and Sch\"olkopf, Bernhard}, title = {Pairwise Similarity Learning is SimPLE}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5308-5318} }
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction: Youmin Zhang,

Fabio Tosi,

Stefano Mattoccia,

Matteo Poggi; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Youmin and Tosi, Fabio and Mattoccia, Stefano and Poggi, Matteo}, title = {GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3727-3737} }
FACTS: First Amplify Correlations and Then Slice to Discover Bias: Sriram Yenamandra,

Pratik Ramesh,

Viraj Prabhu,

Judy Hoffman; [pdf] [supp]
[bibtex]
@InProceedings{Yenamandra_2023_ICCV, author = {Yenamandra, Sriram and Ramesh, Pratik and Prabhu, Viraj and Hoffman, Judy}, title = {FACTS: First Amplify Correlations and Then Slice to Discover Bias}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4794-4804} }
Mask-Attention-Free Transformer for 3D Instance Segmentation: Xin Lai,

Yuhui Yuan,

Ruihang Chu,

Yukang Chen,

Han Hu,

Jiaya Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lai_2023_ICCV, author = {Lai, Xin and Yuan, Yuhui and Chu, Ruihang and Chen, Yukang and Hu, Han and Jia, Jiaya}, title = {Mask-Attention-Free Transformer for 3D Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3693-3703} }
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries: Jinjie Mai,

Abdullah Hamdi,

Silvio Giancola,

Chen Zhao,

Bernard Ghanem; [pdf] [arXiv]
[bibtex]
@InProceedings{Mai_2023_ICCV, author = {Mai, Jinjie and Hamdi, Abdullah and Giancola, Silvio and Zhao, Chen and Ghanem, Bernard}, title = {EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {45-57} }
FLatten Transformer: Vision Transformer using Focused Linear Attention: Dongchen Han,

Xuran Pan,

Yizeng Han,

Shiji Song,

Gao Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2023_ICCV, author = {Han, Dongchen and Pan, Xuran and Han, Yizeng and Song, Shiji and Huang, Gao}, title = {FLatten Transformer: Vision Transformer using Focused Linear Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5961-5971} }
ADNet: Lane Shape Prediction via Anchor Decomposition: Lingyu Xiao,

Xiang Li,

Sen Yang,

Wankou Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiao_2023_ICCV, author = {Xiao, Lingyu and Li, Xiang and Yang, Sen and Yang, Wankou}, title = {ADNet: Lane Shape Prediction via Anchor Decomposition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6404-6413} }
HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation: Xiufeng Xie,

Riccardo Gherardi,

Zhihong Pan,

Stephen Huang; [pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2023_ICCV, author = {Xie, Xiufeng and Gherardi, Riccardo and Pan, Zhihong and Huang, Stephen}, title = {HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3480-3490} }
A Complete Recipe for Diffusion Generative Models: Kushagra Pandey,

Stephan Mandt; [pdf] [supp]
[bibtex]
@InProceedings{Pandey_2023_ICCV, author = {Pandey, Kushagra and Mandt, Stephan}, title = {A Complete Recipe for Diffusion Generative Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4261-4272} }
The Devil is in the Crack Orientation: A New Perspective for Crack Detection: Zhuangzhuang Chen,

Jin Zhang,

Zhuonan Lai,

Guanming Zhu,

Zun Liu,

Jie Chen,

Jianqiang Li; [pdf]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Zhuangzhuang and Zhang, Jin and Lai, Zhuonan and Zhu, Guanming and Liu, Zun and Chen, Jie and Li, Jianqiang}, title = {The Devil is in the Crack Orientation: A New Perspective for Crack Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6653-6663} }
FedPD: Federated Open Set Recognition with Parameter Disentanglement: Chen Yang,

Meilu Zhu,

Yifan Liu,

Yixuan Yuan; [pdf]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Chen and Zhu, Meilu and Liu, Yifan and Yuan, Yixuan}, title = {FedPD: Federated Open Set Recognition with Parameter Disentanglement}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4882-4891} }
WaterMask: Instance Segmentation for Underwater Imagery: Shijie Lian,

Hua Li,

Runmin Cong,

Suqi Li,

Wei Zhang,

Sam Kwong; [pdf]
[bibtex]
@InProceedings{Lian_2023_ICCV, author = {Lian, Shijie and Li, Hua and Cong, Runmin and Li, Suqi and Zhang, Wei and Kwong, Sam}, title = {WaterMask: Instance Segmentation for Underwater Imagery}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1305-1315} }
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers: Daniel Silver,

Tirthak Patel,

William Cutler,

Aditya Ranjan,

Harshitta Gandhi,

Devesh Tiwari; [pdf] [arXiv]
[bibtex]
@InProceedings{Silver_2023_ICCV, author = {Silver, Daniel and Patel, Tirthak and Cutler, William and Ranjan, Aditya and Gandhi, Harshitta and Tiwari, Devesh}, title = {MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7030-7039} }
DVIS: Decoupled Video Instance Segmentation Framework: Tao Zhang,

Xingye Tian,

Yu Wu,

Shunping Ji,

Xuebo Wang,

Yuan Zhang,

Pengfei Wan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Tao and Tian, Xingye and Wu, Yu and Ji, Shunping and Wang, Xuebo and Zhang, Yuan and Wan, Pengfei}, title = {DVIS: Decoupled Video Instance Segmentation Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1282-1291} }
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation: Ke Fan,

Jingshi Lei,

Xuelin Qian,

Miaopeng Yu,

Tianjun Xiao,

Tong He,

Zheng Zhang,

Yanwei Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fan_2023_ICCV, author = {Fan, Ke and Lei, Jingshi and Qian, Xuelin and Yu, Miaopeng and Xiao, Tianjun and He, Tong and Zhang, Zheng and Fu, Yanwei}, title = {Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1272-1281} }
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning: Yun Li,

Zhe Liu,

Saurav Jha,

Lina Yao; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yun and Liu, Zhe and Jha, Saurav and Yao, Lina}, title = {Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1782-1791} }
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models: Tianshi Cao,

Karsten Kreis,

Sanja Fidler,

Nicholas Sharp,

Kangxue Yin; [pdf] [supp]
[bibtex]
@InProceedings{Cao_2023_ICCV, author = {Cao, Tianshi and Kreis, Karsten and Fidler, Sanja and Sharp, Nicholas and Yin, Kangxue}, title = {TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4169-4181} }
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition: Xilin He,

Qinliang Lin,

Cheng Luo,

Weicheng Xie,

Siyang Song,

Feng Liu,

Linlin Shen; [pdf] [supp]
[bibtex]
@InProceedings{He_2023_ICCV, author = {He, Xilin and Lin, Qinliang and Luo, Cheng and Xie, Weicheng and Song, Siyang and Liu, Feng and Shen, Linlin}, title = {Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1526-1535} }
Data-free Knowledge Distillation for Fine-grained Visual Categorization: Renrong Shao,

Wei Zhang,

Jianhua Yin,

Jun Wang; [pdf] [supp]
[bibtex]
@InProceedings{Shao_2023_ICCV, author = {Shao, Renrong and Zhang, Wei and Yin, Jianhua and Wang, Jun}, title = {Data-free Knowledge Distillation for Fine-grained Visual Categorization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1515-1525} }
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding: Yue Xu,

Yong-Lu Li,

Zhemin Huang,

Michael Xu Liu,

Cewu Lu,

Yu-Wing Tai,

Chi-Keung Tang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Yue and Li, Yong-Lu and Huang, Zhemin and Liu, Michael Xu and Lu, Cewu and Tai, Yu-Wing and Tang, Chi-Keung}, title = {EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5273-5284} }
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision: Sophia Gu,

Christopher Clark,

Aniruddha Kembhavi; [pdf] [supp]
[bibtex]
@InProceedings{Gu_2023_ICCV, author = {Gu, Sophia and Clark, Christopher and Kembhavi, Aniruddha}, title = {I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2672-2683} }
Feature Prediction Diffusion Model for Video Anomaly Detection: Cheng Yan,

Shiyu Zhang,

Yang Liu,

Guansong Pang,

Wenjun Wang; [pdf]
[bibtex]
@InProceedings{Yan_2023_ICCV, author = {Yan, Cheng and Zhang, Shiyu and Liu, Yang and Pang, Guansong and Wang, Wenjun}, title = {Feature Prediction Diffusion Model for Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5527-5537} }
MasQCLIP for Open-Vocabulary Universal Image Segmentation: Xin Xu,

Tianyi Xiong,

Zheng Ding,

Zhuowen Tu; [pdf]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Xin and Xiong, Tianyi and Ding, Zheng and Tu, Zhuowen}, title = {MasQCLIP for Open-Vocabulary Universal Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {887-898} }
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search: Benzhi Wang,

Yang Yang,

Jinlin Wu,

Guo-jun Qi,

Zhen Lei; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Benzhi and Yang, Yang and Wu, Jinlin and Qi, Guo-jun and Lei, Zhen}, title = {Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1813-1822} }
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction: Jinhong Wang,

Yi Cheng,

Jintai Chen,

TingTing Chen,

Danny Chen,

Jian Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Jinhong and Cheng, Yi and Chen, Jintai and Chen, TingTing and Chen, Danny and Wu, Jian}, title = {Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5865-5875} }
Controllable Visual-Tactile Synthesis: Ruihan Gao,

Wenzhen Yuan,

Jun-Yan Zhu; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2023_ICCV, author = {Gao, Ruihan and Yuan, Wenzhen and Zhu, Jun-Yan}, title = {Controllable Visual-Tactile Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7040-7052} }
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?: Bill Psomas,

Ioannis Kakogeorgiou,

Konstantinos Karantzalos,

Yannis Avrithis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Psomas_2023_ICCV, author = {Psomas, Bill and Kakogeorgiou, Ioannis and Karantzalos, Konstantinos and Avrithis, Yannis}, title = {Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5350-5360} }
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models: Cheng Shi,

Sibei Yang; [pdf] [arXiv]
[bibtex]
@InProceedings{Shi_2023_ICCV, author = {Shi, Cheng and Yang, Sibei}, title = {LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2932-2941} }
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision: Khurram Azeem Hashmi,

Goutham Kallempudi,

Didier Stricker,

Muhammad Zeshan Afzal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hashmi_2023_ICCV, author = {Hashmi, Khurram Azeem and Kallempudi, Goutham and Stricker, Didier and Afzal, Muhammad Zeshan}, title = {FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6725-6735} }
Saliency Regularization for Self-Training with Partial Annotations: Shouwen Wang,

Qian Wan,

Xiang Xiang,

Zhigang Zeng; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Shouwen and Wan, Qian and Xiang, Xiang and Zeng, Zhigang}, title = {Saliency Regularization for Self-Training with Partial Annotations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1611-1620} }
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation: Yunpeng Zhai,

Peixi Peng,

Yifan Zhao,

Yangru Huang,

Yonghong Tian; [pdf]
[bibtex]
@InProceedings{Zhai_2023_ICCV, author = {Zhai, Yunpeng and Peng, Peixi and Zhao, Yifan and Huang, Yangru and Tian, Yonghong}, title = {Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {207-216} }
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior: Jiali Cui,

Ying Nian Wu,

Tian Han; [pdf] [supp]
[bibtex]
@InProceedings{Cui_2023_ICCV, author = {Cui, Jiali and Wu, Ying Nian and Han, Tian}, title = {Learning Hierarchical Features with Joint Latent Space Energy-Based Prior}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2218-2227} }
UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding: Kunchang Li,

Yali Wang,

Yinan He,

Yizhuo Li,

Yi Wang,

Limin Wang,

Yu Qiao; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Kunchang and Wang, Yali and He, Yinan and Li, Yizhuo and Wang, Yi and Wang, Limin and Qiao, Yu}, title = {UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1632-1643} }
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation: Jie Zhang,

Chen Chen,

Weiming Zhuang,

Lingjuan Lyu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jie and Chen, Chen and Zhuang, Weiming and Lyu, Lingjuan}, title = {TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4782-4793} }
DiffV2S: Diffusion-Based Video-to-Speech Synthesis with Vision-Guided Speaker Embedding: Jeongsoo Choi,

Joanna Hong,

Yong Man Ro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2023_ICCV, author = {Choi, Jeongsoo and Hong, Joanna and Ro, Yong Man}, title = {DiffV2S: Diffusion-Based Video-to-Speech Synthesis with Vision-Guided Speaker Embedding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7812-7821} }
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining: Mannat Singh,

Quentin Duval,

Kalyan Vasudev Alwala,

Haoqi Fan,

Vaibhav Aggarwal,

Aaron Adcock,

Armand Joulin,

Piotr Dollar,

Christoph Feichtenhofer,

Ross Girshick,

Rohit Girdhar,

Ishan Misra; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Singh_2023_ICCV, author = {Singh, Mannat and Duval, Quentin and Alwala, Kalyan Vasudev and Fan, Haoqi and Aggarwal, Vaibhav and Adcock, Aaron and Joulin, Armand and Dollar, Piotr and Feichtenhofer, Christoph and Girshick, Ross and Girdhar, Rohit and Misra, Ishan}, title = {The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5484-5494} }
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds: Ziyu Li,

Jingming Guo,

Tongtong Cao,

Liu Bingbing,

Wankou Yang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Ziyu and Guo, Jingming and Cao, Tongtong and Bingbing, Liu and Yang, Wankou}, title = {GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6394-6403} }
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering: Xiao Pan,

Zongxin Yang,

Jianxin Ma,

Chang Zhou,

Yi Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pan_2023_ICCV, author = {Pan, Xiao and Yang, Zongxin and Ma, Jianxin and Zhou, Chang and Yang, Yi}, title = {TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3544-3555} }
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model: Xinyi Zhang,

Naiqi Li,

Jiawei Li,

Tao Dai,

Yong Jiang,

Shu-Tao Xia; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Xinyi and Li, Naiqi and Li, Jiawei and Dai, Tao and Jiang, Yong and Xia, Shu-Tao}, title = {Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6782-6791} }
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning: Yangru Huang,

Peixi Peng,

Yifan Zhao,

Yunpeng Zhai,

Haoran Xu,

Yonghong Tian; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2023_ICCV, author = {Huang, Yangru and Peng, Peixi and Zhao, Yifan and Zhai, Yunpeng and Xu, Haoran and Tian, Yonghong}, title = {Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {176-185} }
Representation Disparity-aware Distillation for 3D Object Detection: Yanjing Li,

Sheng Xu,

Mingbao Lin,

Jihao Yin,

Baochang Zhang,

Xianbin Cao; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yanjing and Xu, Sheng and Lin, Mingbao and Yin, Jihao and Zhang, Baochang and Cao, Xianbin}, title = {Representation Disparity-aware Distillation for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6715-6724} }
Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions: Yijun Qian,

Jack Urbanek,

Alexander G. Hauptmann,

Jungdam Won; [pdf]
[bibtex]
@InProceedings{Qian_2023_ICCV, author = {Qian, Yijun and Urbanek, Jack and Hauptmann, Alexander G. and Won, Jungdam}, title = {Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2306-2316} }
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control: Zi-Yuan Hu,

Yanyang Li,

Michael R. Lyu,

Liwei Wang; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2023_ICCV, author = {Hu, Zi-Yuan and Li, Yanyang and Lyu, Michael R. and Wang, Liwei}, title = {VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3010-3020} }
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation: Xiaoxing Wang,

Xiangxiang Chu,

Yuda Fan,

Zhexi Zhang,

Bo Zhang,

Xiaokang Yang,

Junchi Yan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Xiaoxing and Chu, Xiangxiang and Fan, Yuda and Zhang, Zhexi and Zhang, Bo and Yang, Xiaokang and Yan, Junchi}, title = {ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5939-5949} }
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge: Yifeng Zhang,

Shi Chen,

Qi Zhao; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Yifeng and Chen, Shi and Zhao, Qi}, title = {Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2573-2583} }
3D-aware Image Generation using 2D Diffusion Models: Jianfeng Xiang,

Jiaolong Yang,

Binbin Huang,

Xin Tong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiang_2023_ICCV, author = {Xiang, Jianfeng and Yang, Jiaolong and Huang, Binbin and Tong, Xin}, title = {3D-aware Image Generation using 2D Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2383-2393} }
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization: Jae-Hyeok Lee,

Dae-Shik Kim; [pdf]
[bibtex]
@InProceedings{Lee_2023_ICCV, author = {Lee, Jae-Hyeok and Kim, Dae-Shik}, title = {ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3491-3501} }
SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation: Guhnoo Yun,

Juhan Yoo,

Kijung Kim,

Jeongho Lee,

Dong Hwan Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yun_2023_ICCV, author = {Yun, Guhnoo and Yoo, Juhan and Kim, Kijung and Lee, Jeongho and Kim, Dong Hwan}, title = {SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6113-6124} }
ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation: Shenghao Fu,

Junkai Yan,

Yipeng Gao,

Xiaohua Xie,

Wei-Shi Zheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fu_2023_ICCV, author = {Fu, Shenghao and Yan, Junkai and Gao, Yipeng and Xie, Xiaohua and Zheng, Wei-Shi}, title = {ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6328-6338} }
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning: Virat Shejwalkar,

Lingjuan Lyu,

Amir Houmansadr; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shejwalkar_2023_ICCV, author = {Shejwalkar, Virat and Lyu, Lingjuan and Houmansadr, Amir}, title = {The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4730-4740} }
StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models: Zhizhong Wang,

Lei Zhao,

Wei Xing; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Zhizhong and Zhao, Lei and Xing, Wei}, title = {StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7677-7689} }
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models: Xinquan Chen,

Xitong Gao,

Juanjuan Zhao,

Kejiang Ye,

Cheng-Zhong Xu; [pdf]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Xinquan and Gao, Xitong and Zhao, Juanjuan and Ye, Kejiang and Xu, Cheng-Zhong}, title = {AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4562-4572} }
DarSwin: Distortion Aware Radial Swin Transformer: Akshaya Athwale,

Arman Afrasiyabi,

Justin Lagüe,

Ichrak Shili,

Ola Ahmad,

Jean-François Lalonde; [pdf]
[bibtex]
@InProceedings{Athwale_2023_ICCV, author = {Athwale, Akshaya and Afrasiyabi, Arman and Lag\"ue, Justin and Shili, Ichrak and Ahmad, Ola and Lalonde, Jean-Fran\c{c}ois}, title = {DarSwin: Distortion Aware Radial Swin Transformer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5929-5938} }
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models: Ziyi Wang,

Xumin Yu,

Yongming Rao,

Jie Zhou,

Jiwen Lu; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Ziyi and Yu, Xumin and Rao, Yongming and Zhou, Jie and Lu, Jiwen}, title = {Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5640-5650} }
Open-vocabulary Panoptic Segmentation with Embedding Modulation: Xi Chen,

Shuang Li,

Ser-Nam Lim,

Antonio Torralba,

Hengshuang Zhao; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Xi and Li, Shuang and Lim, Ser-Nam and Torralba, Antonio and Zhao, Hengshuang}, title = {Open-vocabulary Panoptic Segmentation with Embedding Modulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1141-1150} }
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling: Giyoung Jeon,

Haedong Jeong,

Jaesik Choi; [pdf] [supp]
[bibtex]
@InProceedings{Jeon_2023_ICCV, author = {Jeon, Giyoung and Jeong, Haedong and Choi, Jaesik}, title = {Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2052-2061} }
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models: Mischa Dombrowski,

Hadrien Reynaud,

Matthew Baugh,

Bernhard Kainz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dombrowski_2023_ICCV, author = {Dombrowski, Mischa and Reynaud, Hadrien and Baugh, Matthew and Kainz, Bernhard}, title = {Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {988-998} }
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting: Ruofan Liang,

Huiting Chen,

Chunlin Li,

Fan Chen,

Selvakumar Panneer,

Nandita Vijaykumar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2023_ICCV, author = {Liang, Ruofan and Chen, Huiting and Li, Chunlin and Chen, Fan and Panneer, Selvakumar and Vijaykumar, Nandita}, title = {ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {79-89} }
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation: Luozhou Wang,

Shuai Yang,

Shu Liu,

Ying-cong Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Luozhou and Yang, Shuai and Liu, Shu and Chen, Ying-cong}, title = {Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7472-7481} }
ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption: Kaicheng Yang,

Jiankang Deng,

Xiang An,

Jiawei Li,

Ziyong Feng,

Jia Guo,

Jing Yang,

Tongliang Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Kaicheng and Deng, Jiankang and An, Xiang and Li, Jiawei and Feng, Ziyong and Guo, Jia and Yang, Jing and Liu, Tongliang}, title = {ALIP: Adaptive Language-Image Pre-Training with Synthetic Caption}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2922-2931} }
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization: Runyi Yu,

Zhennan Wang,

Yinhuai Wang,

Kehan Li,

Chang Liu,

Haoyi Duan,

Xiangyang Ji,

Jie Chen; [pdf] [supp]
[bibtex]
@InProceedings{Yu_2023_ICCV, author = {Yu, Runyi and Wang, Zhennan and Wang, Yinhuai and Li, Kehan and Liu, Chang and Duan, Haoyi and Ji, Xiangyang and Chen, Jie}, title = {LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5886-5896} }
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection: Jinqing Zhang,

Yanan Zhang,

Qingjie Liu,

Yunhong Wang; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jinqing and Zhang, Yanan and Liu, Qingjie and Wang, Yunhong}, title = {SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3348-3357} }
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation: Kunyang Han,

Yong Liu,

Jun Hao Liew,

Henghui Ding,

Jiajun Liu,

Yitong Wang,

Yansong Tang,

Yujiu Yang,

Jiashi Feng,

Yao Zhao,

Yunchao Wei; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2023_ICCV, author = {Han, Kunyang and Liu, Yong and Liew, Jun Hao and Ding, Henghui and Liu, Jiajun and Wang, Yitong and Tang, Yansong and Yang, Yujiu and Feng, Jiashi and Zhao, Yao and Wei, Yunchao}, title = {Global Knowledge Calibration for Fast Open-Vocabulary Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {797-807} }
Compatibility of Fundamental Matrices for Complete Viewing Graphs: Martin Bråtelund,

Felix Rydell; [pdf] [supp]
[bibtex]
@InProceedings{Bratelund_2023_ICCV, author = {Br\r{a}telund, Martin and Rydell, Felix}, title = {Compatibility of Fundamental Matrices for Complete Viewing Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3328-3336} }
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge: Wei Lin,

Leonid Karlinsky,

Nina Shvetsova,

Horst Possegger,

Mateusz Kozinski,

Rameswar Panda,

Rogerio Feris,

Hilde Kuehne,

Horst Bischof; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2023_ICCV, author = {Lin, Wei and Karlinsky, Leonid and Shvetsova, Nina and Possegger, Horst and Kozinski, Mateusz and Panda, Rameswar and Feris, Rogerio and Kuehne, Hilde and Bischof, Horst}, title = {MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2851-2862} }
Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation: Changqi Wang,

Haoyu Xie,

Yuhui Yuan,

Chong Fu,

Xiangyu Yue; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Changqi and Xie, Haoyu and Yuan, Yuhui and Fu, Chong and Yue, Xiangyu}, title = {Space Engage: Collaborative Space Supervision for Contrastive-Based Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {931-942} }
Delving into Motion-Aware Matching for Monocular 3D Object Tracking: Kuan-Chih Huang,

Ming-Hsuan Yang,

Yi-Hsuan Tsai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2023_ICCV, author = {Huang, Kuan-Chih and Yang, Ming-Hsuan and Tsai, Yi-Hsuan}, title = {Delving into Motion-Aware Matching for Monocular 3D Object Tracking}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6909-6918} }
Fast Adversarial Training with Smooth Convergence: Mengnan Zhao,

Lihe Zhang,

Yuqiu Kong,

Baocai Yin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Mengnan and Zhang, Lihe and Kong, Yuqiu and Yin, Baocai}, title = {Fast Adversarial Training with Smooth Convergence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4720-4729} }
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis: Aishwarya Agarwal,

Srikrishna Karanam,

K J Joseph,

Apoorv Saxena,

Koustava Goswami,

Balaji Vasan Srinivasan; [pdf] [supp]
[bibtex]
@InProceedings{Agarwal_2023_ICCV, author = {Agarwal, Aishwarya and Karanam, Srikrishna and Joseph, K J and Saxena, Apoorv and Goswami, Koustava and Srinivasan, Balaji Vasan}, title = {A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2283-2293} }
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields: Sungwon Hwang,

Junha Hyung,

Daejin Kim,

Min-Jung Kim,

Jaegul Choo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hwang_2023_ICCV, author = {Hwang, Sungwon and Hyung, Junha and Kim, Daejin and Kim, Min-Jung and Choo, Jaegul}, title = {FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3469-3479} }
Learning Shape Primitives via Implicit Convexity Regularization: Xiaoyang Huang,

Yi Zhang,

Kai Chen,

Teng Li,

Wenjun Zhang,

Bingbing Ni; [pdf] [supp]
[bibtex]
@InProceedings{Huang_2023_ICCV, author = {Huang, Xiaoyang and Zhang, Yi and Chen, Kai and Li, Teng and Zhang, Wenjun and Ni, Bingbing}, title = {Learning Shape Primitives via Implicit Convexity Regularization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3642-3651} }
ITI-GEN: Inclusive Text-to-Image Generation: Cheng Zhang,

Xuanbai Chen,

Siqi Chai,

Chen Henry Wu,

Dmitry Lagun,

Thabo Beeler,

Fernando De la Torre; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Cheng and Chen, Xuanbai and Chai, Siqi and Wu, Chen Henry and Lagun, Dmitry and Beeler, Thabo and De la Torre, Fernando}, title = {ITI-GEN: Inclusive Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3969-3980} }
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation: Zhijie Deng,

Yucen Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Deng_2023_ICCV, author = {Deng, Zhijie and Luo, Yucen}, title = {Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {551-561} }
Shape Analysis of Euclidean Curves under Frenet-Serret Framework: Perrine Chassat,

Juhyun Park,

Nicolas Brunel; [pdf] [supp]
[bibtex]
@InProceedings{Chassat_2023_ICCV, author = {Chassat, Perrine and Park, Juhyun and Brunel, Nicolas}, title = {Shape Analysis of Euclidean Curves under Frenet-Serret Framework}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4027-4036} }
Efficient Diffusion Training via Min-SNR Weighting Strategy: Tiankai Hang,

Shuyang Gu,

Chen Li,

Jianmin Bao,

Dong Chen,

Han Hu,

Xin Geng,

Baining Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hang_2023_ICCV, author = {Hang, Tiankai and Gu, Shuyang and Li, Chen and Bao, Jianmin and Chen, Dong and Hu, Han and Geng, Xin and Guo, Baining}, title = {Efficient Diffusion Training via Min-SNR Weighting Strategy}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7441-7451} }
Perceptual Grouping in Contrastive Vision-Language Models: Kanchana Ranasinghe,

Brandon McKinzie,

Sachin Ravi,

Yinfei Yang,

Alexander Toshev,

Jonathon Shlens; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ranasinghe_2023_ICCV, author = {Ranasinghe, Kanchana and McKinzie, Brandon and Ravi, Sachin and Yang, Yinfei and Toshev, Alexander and Shlens, Jonathon}, title = {Perceptual Grouping in Contrastive Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5571-5584} }
Dynamic Perceiver for Efficient Visual Recognition: Yizeng Han,

Dongchen Han,

Zeyu Liu,

Yulin Wang,

Xuran Pan,

Yifan Pu,

Chao Deng,

Junlan Feng,

Shiji Song,

Gao Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2023_ICCV, author = {Han, Yizeng and Han, Dongchen and Liu, Zeyu and Wang, Yulin and Pan, Xuran and Pu, Yifan and Deng, Chao and Feng, Junlan and Song, Shiji and Huang, Gao}, title = {Dynamic Perceiver for Efficient Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5992-6002} }
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption: Teng Hu,

Jiangning Zhang,

Liang Liu,

Ran Yi,

Siqi Kou,

Haokun Zhu,

Xu Chen,

Yabiao Wang,

Chengjie Wang,

Lizhuang Ma; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2023_ICCV, author = {Hu, Teng and Zhang, Jiangning and Liu, Liang and Yi, Ran and Kou, Siqi and Zhu, Haokun and Chen, Xu and Wang, Yabiao and Wang, Chengjie and Ma, Lizhuang}, title = {Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2406-2415} }
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling: Fenggen Yu,

Yiming Qian,

Francisca Gil-Ureta,

Brian Jackson,

Eric Bennett,

Hao Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2023_ICCV, author = {Yu, Fenggen and Qian, Yiming and Gil-Ureta, Francisca and Jackson, Brian and Bennett, Eric and Zhang, Hao}, title = {HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {865-875} }
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning: Guangyu Sun,

Matias Mendieta,

Jun Luo,

Shandong Wu,

Chen Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2023_ICCV, author = {Sun, Guangyu and Mendieta, Matias and Luo, Jun and Wu, Shandong and Chen, Chen}, title = {FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4988-4998} }
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration: Ka Chun Shum,

Hong-Wing Pang,

Binh-Son Hua,

Duc Thanh Nguyen,

Sai-Kit Yeung; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shum_2023_ICCV, author = {Shum, Ka Chun and Pang, Hong-Wing and Hua, Binh-Son and Nguyen, Duc Thanh and Yeung, Sai-Kit}, title = {Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4478-4488} }
SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning: Urwa Muaz,

Wondong Jang,

Rohun Tripathi,

Santhosh Mani,

Wenbin Ouyang,

Ravi Teja Gadde,

Baris Gecer,

Sergio Elizondo,

Reza Madad,

Naveen Nair; [pdf] [supp]
[bibtex]
@InProceedings{Muaz_2023_ICCV, author = {Muaz, Urwa and Jang, Wondong and Tripathi, Rohun and Mani, Santhosh and Ouyang, Wenbin and Gadde, Ravi Teja and Gecer, Baris and Elizondo, Sergio and Madad, Reza and Nair, Naveen}, title = {SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7833-7842} }
Meta-ZSDETR: Zero-shot DETR with Meta-learning: Lu Zhang,

Chenbo Zhang,

Jiajia Zhao,

Jihong Guan,

Shuigeng Zhou; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Lu and Zhang, Chenbo and Zhao, Jiajia and Guan, Jihong and Zhou, Shuigeng}, title = {Meta-ZSDETR: Zero-shot DETR with Meta-learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6845-6854} }
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition: Ming Li,

Xiangyu Xu,

Hehe Fan,

Pan Zhou,

Jun Liu,

Jia-Wei Liu,

Jiahe Li,

Jussi Keppo,

Mike Zheng Shou,

Shuicheng Yan; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Ming and Xu, Xiangyu and Fan, Hehe and Zhou, Pan and Liu, Jun and Liu, Jia-Wei and Li, Jiahe and Keppo, Jussi and Shou, Mike Zheng and Yan, Shuicheng}, title = {STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5106-5115} }
Computationally-Efficient Neural Image Compression with Shallow Decoders: Yibo Yang,

Stephan Mandt; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Yibo and Mandt, Stephan}, title = {Computationally-Efficient Neural Image Compression with Shallow Decoders}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {530-540} }
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence: Han Fang,

Jiyi Zhang,

Yupeng Qiu,

Jiayang Liu,

Ke Xu,

Chengfang Fang,

Ee-Chien Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fang_2023_ICCV, author = {Fang, Han and Zhang, Jiyi and Qiu, Yupeng and Liu, Jiayang and Xu, Ke and Fang, Chengfang and Chang, Ee-Chien}, title = {Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4335-4344} }
Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation: Yuxin Jiang,

Liming Jiang,

Shuai Yang,

Chen Change Loy; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2023_ICCV, author = {Jiang, Yuxin and Jiang, Liming and Yang, Shuai and Loy, Chen Change}, title = {Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7357-7367} }
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration: Nan Zhou,

Jiaxin Chen,

Di Huang; [pdf] [supp]
[bibtex]
@InProceedings{Zhou_2023_ICCV, author = {Zhou, Nan and Chen, Jiaxin and Huang, Di}, title = {DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1547-1556} }
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation: Heeseung Yun,

Joonil Na,

Gunhee Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yun_2023_ICCV, author = {Yun, Heeseung and Na, Joonil and Kim, Gunhee}, title = {Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7863-7872} }
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation: Mohammad Reza Karimi Dastjerdi,

Jonathan Eisenmann,

Yannick Hold-Geoffroy,

Jean-François Lalonde; [pdf] [arXiv]
[bibtex]
@InProceedings{Dastjerdi_2023_ICCV, author = {Dastjerdi, Mohammad Reza Karimi and Eisenmann, Jonathan and Hold-Geoffroy, Yannick and Lalonde, Jean-Fran\c{c}ois}, title = {EverLight: Indoor-Outdoor Editable HDR Lighting Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7420-7429} }
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation: Sanghyun Jo,

In-Jae Yu,

Kyungsu Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jo_2023_ICCV, author = {Jo, Sanghyun and Yu, In-Jae and Kim, Kyungsu}, title = {MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {614-623} }
Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation: Xueyi Liu,

Bin Wang,

He Wang,

Li Yi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Xueyi and Wang, Bin and Wang, He and Yi, Li}, title = {Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {854-864} }
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction: Hansheng Chen,

Jiatao Gu,

Anpei Chen,

Wei Tian,

Zhuowen Tu,

Lingjie Liu,

Hao Su; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Hansheng and Gu, Jiatao and Chen, Anpei and Tian, Wei and Tu, Zhuowen and Liu, Lingjie and Su, Hao}, title = {Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2416-2425} }
One-Shot Generative Domain Adaptation: Ceyuan Yang,

Yujun Shen,

Zhiyi Zhang,

Yinghao Xu,

Jiapeng Zhu,

Zhirong Wu,

Bolei Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Ceyuan and Shen, Yujun and Zhang, Zhiyi and Xu, Yinghao and Zhu, Jiapeng and Wu, Zhirong and Zhou, Bolei}, title = {One-Shot Generative Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7733-7742} }
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness: Mehmet Kerim Yucel,

Ramazan Gokberk Cinbis,

Pinar Duygulu; [pdf] [supp]
[bibtex]
@InProceedings{Yucel_2023_ICCV, author = {Yucel, Mehmet Kerim and Cinbis, Ramazan Gokberk and Duygulu, Pinar}, title = {HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5718-5728} }
Doppelgangers: Learning to Disambiguate Images of Similar Structures: Ruojin Cai,

Joseph Tung,

Qianqian Wang,

Hadar Averbuch-Elor,

Bharath Hariharan,

Noah Snavely; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2023_ICCV, author = {Cai, Ruojin and Tung, Joseph and Wang, Qianqian and Averbuch-Elor, Hadar and Hariharan, Bharath and Snavely, Noah}, title = {Doppelgangers: Learning to Disambiguate Images of Similar Structures}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {34-44} }
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning: Kaijie Zhu,

Xixu Hu,

Jindong Wang,

Xing Xie,

Ge Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Kaijie and Hu, Xixu and Wang, Jindong and Xie, Xing and Yang, Ge}, title = {Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4424-4434} }
Understanding the Feature Norm for Out-of-Distribution Detection: Jaewoo Park,

Jacky Chen Long Chai,

Jaeho Yoon,

Andrew Beng Jin Teoh; [pdf] [supp]
[bibtex]
@InProceedings{Park_2023_ICCV, author = {Park, Jaewoo and Chai, Jacky Chen Long and Yoon, Jaeho and Teoh, Andrew Beng Jin}, title = {Understanding the Feature Norm for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1557-1567} }
Knowledge Proxy Intervention for Deconfounded Video Question Answering: Jiangtong Li,

Li Niu,

Liqing Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Jiangtong and Niu, Li and Zhang, Liqing}, title = {Knowledge Proxy Intervention for Deconfounded Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2782-2793} }
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds: Tao Ma,

Xuemeng Yang,

Hongbin Zhou,

Xin Li,

Botian Shi,

Junjie Liu,

Yuchen Yang,

Zhizheng Liu,

Liang He,

Yu Qiao,

Yikang Li,

Hongsheng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2023_ICCV, author = {Ma, Tao and Yang, Xuemeng and Zhou, Hongbin and Li, Xin and Shi, Botian and Liu, Junjie and Yang, Yuchen and Liu, Zhizheng and He, Liang and Qiao, Yu and Li, Yikang and Li, Hongsheng}, title = {DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6736-6747} }
Learning from Noisy Data for Semi-Supervised 3D Object Detection: Zehui Chen,

Zhenyu Li,

Shuo Wang,

Dengpan Fu,

Feng Zhao; [pdf]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Zehui and Li, Zhenyu and Wang, Shuo and Fu, Dengpan and Zhao, Feng}, title = {Learning from Noisy Data for Semi-Supervised 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6929-6939} }
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond: Yang Zhao,

Tingbo Hou,

Yu-Chuan Su,

Xuhui Jia,

Yandong Li,

Matthias Grundmann; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Yang and Hou, Tingbo and Su, Yu-Chuan and Jia, Xuhui and Li, Yandong and Grundmann, Matthias}, title = {Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7312-7322} }
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment: Qiang Chen,

Xiaokang Chen,

Jian Wang,

Shan Zhang,

Kun Yao,

Haocheng Feng,

Junyu Han,

Errui Ding,

Gang Zeng,

Jingdong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Qiang and Chen, Xiaokang and Wang, Jian and Zhang, Shan and Yao, Kun and Feng, Haocheng and Han, Junyu and Ding, Errui and Zeng, Gang and Wang, Jingdong}, title = {Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6633-6642} }
DETRs with Collaborative Hybrid Assignments Training: Zhuofan Zong,

Guanglu Song,

Yu Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zong_2023_ICCV, author = {Zong, Zhuofan and Song, Guanglu and Liu, Yu}, title = {DETRs with Collaborative Hybrid Assignments Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6748-6758} }
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor: Xinyang Liu,

Yijin Li,

Yanbin Teng,

Hujun Bao,

Guofeng Zhang,

Yinda Zhang,

Zhaopeng Cui; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Xinyang and Li, Yijin and Teng, Yanbin and Bao, Hujun and Zhang, Guofeng and Zhang, Yinda and Cui, Zhaopeng}, title = {Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1-11} }
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection: Junkai Xu,

Liang Peng,

Haoran Cheng,

Hao Li,

Wei Qian,

Ke Li,

Wenxiao Wang,

Deng Cai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Junkai and Peng, Liang and Cheng, Haoran and Li, Hao and Qian, Wei and Li, Ke and Wang, Wenxiao and Cai, Deng}, title = {MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6814-6824} }
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver: Xianpeng Liu,

Ce Zheng,

Kelvin B Cheng,

Nan Xue,

Guo-Jun Qi,

Tianfu Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Xianpeng and Zheng, Ce and Cheng, Kelvin B and Xue, Nan and Qi, Guo-Jun and Wu, Tianfu}, title = {Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6436-6446} }
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer: Liyuan Ma,

Tingwei Gao,

Haitian Jiang,

Haibin Shen,

Kejie Huang; [pdf] [supp]
[bibtex]
@InProceedings{Ma_2023_ICCV, author = {Ma, Liyuan and Gao, Tingwei and Jiang, Haitian and Shen, Haibin and Huang, Kejie}, title = {WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7215-7225} }
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection: Ming Nie,

Yujing Xue,

Chunwei Wang,

Chaoqiang Ye,

Hang Xu,

Xinge Zhu,

Qingqiu Huang,

Michael Bi Mi,

Xinchao Wang,

Li Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Nie_2023_ICCV, author = {Nie, Ming and Xue, Yujing and Wang, Chunwei and Ye, Chaoqiang and Xu, Hang and Zhu, Xinge and Huang, Qingqiu and Mi, Michael Bi and Wang, Xinchao and Zhang, Li}, title = {PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3801-3813} }
Corrupting Neuron Explanations of Deep Visual Features: Divyansh Srivastava,

Tuomas Oikarinen,

Tsui-Wei Weng; [pdf] [supp]
[bibtex]
@InProceedings{Srivastava_2023_ICCV, author = {Srivastava, Divyansh and Oikarinen, Tuomas and Weng, Tsui-Wei}, title = {Corrupting Neuron Explanations of Deep Visual Features}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1877-1886} }
PNI : Industrial Anomaly Detection using Position and Neighborhood Information: Jaehyeok Bae,

Jae-Han Lee,

Seyun Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bae_2023_ICCV, author = {Bae, Jaehyeok and Lee, Jae-Han and Kim, Seyun}, title = {PNI : Industrial Anomaly Detection using Position and Neighborhood Information}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6373-6383} }
Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer: Wing-Yin Yu,

Lai-Man Po,

Ray C.C. Cheung,

Yuzhi Zhao,

Yu Xue,

Kun Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2023_ICCV, author = {Yu, Wing-Yin and Po, Lai-Man and Cheung, Ray C.C. and Zhao, Yuzhi and Xue, Yu and Li, Kun}, title = {Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7502-7512} }
Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation: Xin Liu,

Fatemeh Karimi Nejadasl,

Jan C. van Gemert,

Olaf Booij,

Silvia L. Pintea; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Xin and Nejadasl, Fatemeh Karimi and van Gemert, Jan C. and Booij, Olaf and Pintea, Silvia L.}, title = {Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6950-6961} }
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition: Qitong Wang,

Long Zhao,

Liangzhe Yuan,

Ting Liu,

Xi Peng; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Qitong and Zhao, Long and Yuan, Liangzhe and Liu, Ting and Peng, Xi}, title = {Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3307-3317} }
Source-free Depth for Object Pop-out: Zongwei WU,

Danda Pani Paudel,

Deng-Ping Fan,

Jingjing Wang,

Shuo Wang,

Cédric Demonceaux,

Radu Timofte,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{WU_2023_ICCV, author = {WU, Zongwei and Paudel, Danda Pani and Fan, Deng-Ping and Wang, Jingjing and Wang, Shuo and Demonceaux, C\'edric and Timofte, Radu and Van Gool, Luc}, title = {Source-free Depth for Object Pop-out}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1032-1042} }
Token-Label Alignment for Vision Transformers: Han Xiao,

Wenzhao Zheng,

Zheng Zhu,

Jie Zhou,

Jiwen Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiao_2023_ICCV, author = {Xiao, Han and Zheng, Wenzhao and Zhu, Zheng and Zhou, Jie and Lu, Jiwen}, title = {Token-Label Alignment for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5495-5504} }
Learning Gabor Texture Features for Fine-Grained Recognition: Lanyun Zhu,

Tianrun Chen,

Jianxiong Yin,

Simon See,

Jun Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Lanyun and Chen, Tianrun and Yin, Jianxiong and See, Simon and Liu, Jun}, title = {Learning Gabor Texture Features for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1621-1631} }
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning: Changjiang Li,

Ren Pang,

Zhaohan Xi,

Tianyu Du,

Shouling Ji,

Yuan Yao,

Ting Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Changjiang and Pang, Ren and Xi, Zhaohan and Du, Tianyu and Ji, Shouling and Yao, Yuan and Wang, Ting}, title = {An Embarrassingly Simple Backdoor Attack on Self-supervised Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4367-4378} }
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis: Ke Liu,

Feng Liu,

Haishuai Wang,

Ning Ma,

Jiajun Bu,

Bo Han; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Ke and Liu, Feng and Wang, Haishuai and Ma, Ning and Bu, Jiajun and Han, Bo}, title = {Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5474-5483} }
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching: Junpeng Jing,

Jiankun Li,

Pengfei Xiong,

Jiangyu Liu,

Shuaicheng Liu,

Yichen Guo,

Xin Deng,

Mai Xu,

Lai Jiang,

Leonid Sigal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jing_2023_ICCV, author = {Jing, Junpeng and Li, Jiankun and Xiong, Pengfei and Liu, Jiangyu and Liu, Shuaicheng and Guo, Yichen and Deng, Xin and Xu, Mai and Jiang, Lai and Sigal, Leonid}, title = {Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3318-3327} }
CGBA: Curvature-aware Geometric Black-box Attack: Md Farhamdur Reza,

Ali Rahmati,

Tianfu Wu,

Huaiyu Dai; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Reza_2023_ICCV, author = {Reza, Md Farhamdur and Rahmati, Ali and Wu, Tianfu and Dai, Huaiyu}, title = {CGBA: Curvature-aware Geometric Black-box Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {124-133} }
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations: Berkay Kicanaoglu,

Pablo Garrido,

Gaurav Bharaj; [pdf] [supp]
[bibtex]
@InProceedings{Kicanaoglu_2023_ICCV, author = {Kicanaoglu, Berkay and Garrido, Pablo and Bharaj, Gaurav}, title = {Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2371-2382} }
A Multidimensional Analysis of Social Biases in Vision Transformers: Jannik Brinkmann,

Paul Swoboda,

Christian Bartelt; [pdf] [arXiv]
[bibtex]
@InProceedings{Brinkmann_2023_ICCV, author = {Brinkmann, Jannik and Swoboda, Paul and Bartelt, Christian}, title = {A Multidimensional Analysis of Social Biases in Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4914-4923} }
PGFed: Personalize Each Client's Global Objective for Federated Learning: Jun Luo,

Matias Mendieta,

Chen Chen,

Shandong Wu; [pdf] [supp]
[bibtex]
@InProceedings{Luo_2023_ICCV, author = {Luo, Jun and Mendieta, Matias and Chen, Chen and Wu, Shandong}, title = {PGFed: Personalize Each Client's Global Objective for Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3946-3956} }
Instance and Category Supervision are Alternate Learners for Continual Learning: Xudong Tian,

Zhizhong Zhang,

Xin Tan,

Jun Liu,

Chengjie Wang,

Yanyun Qu,

Guannan Jiang,

Yuan Xie; [pdf] [supp]
[bibtex]
@InProceedings{Tian_2023_ICCV, author = {Tian, Xudong and Zhang, Zhizhong and Tan, Xin and Liu, Jun and Wang, Chengjie and Qu, Yanyun and Jiang, Guannan and Xie, Yuan}, title = {Instance and Category Supervision are Alternate Learners for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5596-5605} }
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning: Chun-Mei Feng,

Kai Yu,

Yong Liu,

Salman Khan,

Wangmeng Zuo; [pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2023_ICCV, author = {Feng, Chun-Mei and Yu, Kai and Liu, Yong and Khan, Salman and Zuo, Wangmeng}, title = {Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2704-2714} }
GePSAn: Generative Procedure Step Anticipation in Cooking Videos: Mohamed A. Abdelsalam,

Samrudhdhi B. Rangrej,

Isma Hadji,

Nikita Dvornik,

Konstantinos G. Derpanis,

Afsaneh Fazly; [pdf] [supp]
[bibtex]
@InProceedings{Abdelsalam_2023_ICCV, author = {Abdelsalam, Mohamed A. and Rangrej, Samrudhdhi B. and Hadji, Isma and Dvornik, Nikita and Derpanis, Konstantinos G. and Fazly, Afsaneh}, title = {GePSAn: Generative Procedure Step Anticipation in Cooking Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2988-2997} }
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration: Lijiang Li,

Huixia Li,

Xiawu Zheng,

Jie Wu,

Xuefeng Xiao,

Rui Wang,

Min Zheng,

Xin Pan,

Fei Chao,

Rongrong Ji; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Lijiang and Li, Huixia and Zheng, Xiawu and Wu, Jie and Xiao, Xuefeng and Wang, Rui and Zheng, Min and Pan, Xin and Chao, Fei and Ji, Rongrong}, title = {AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7105-7114} }
DPS-Net: Deep Polarimetric Stereo Depth Estimation: Chaoran Tian,

Weihong Pan,

Zimo Wang,

Mao Mao,

Guofeng Zhang,

Hujun Bao,

Ping Tan,

Zhaopeng Cui; [pdf] [supp]
[bibtex]
@InProceedings{Tian_2023_ICCV, author = {Tian, Chaoran and Pan, Weihong and Wang, Zimo and Mao, Mao and Zhang, Guofeng and Bao, Hujun and Tan, Ping and Cui, Zhaopeng}, title = {DPS-Net: Deep Polarimetric Stereo Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3569-3579} }
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference: Xudong Wang,

Li Lyna Zhang,

Jiahang Xu,

Quanlu Zhang,

Yujing Wang,

Yuqing Yang,

Ningxin Zheng,

Ting Cao,

Mao Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Xudong and Zhang, Li Lyna and Xu, Jiahang and Zhang, Quanlu and Wang, Yujing and Yang, Yuqing and Zheng, Ningxin and Cao, Ting and Yang, Mao}, title = {SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5819-5828} }
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability: Zijian Wang,

Yadan Luo,

Liang Zheng,

Zi Huang,

Mahsa Baktashmotlagh; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Zijian and Luo, Yadan and Zheng, Liang and Huang, Zi and Baktashmotlagh, Mahsa}, title = {How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5549-5558} }
Convolutional Networks with Oriented 1D Kernels: Alexandre Kirchmeyer,

Jia Deng; [pdf] [supp]
[bibtex]
@InProceedings{Kirchmeyer_2023_ICCV, author = {Kirchmeyer, Alexandre and Deng, Jia}, title = {Convolutional Networks with Oriented 1D Kernels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6222-6232} }
Improving Pixel-based MIM by Reducing Wasted Modeling Capability: Yuan Liu,

Songyang Zhang,

Jiacheng Chen,

Zhaohui Yu,

Kai Chen,

Dahua Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yuan and Zhang, Songyang and Chen, Jiacheng and Yu, Zhaohui and Chen, Kai and Lin, Dahua}, title = {Improving Pixel-based MIM by Reducing Wasted Modeling Capability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5361-5372} }
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks: Qingyan Meng,

Mingqing Xiao,

Shen Yan,

Yisen Wang,

Zhouchen Lin,

Zhi-Quan Luo; [pdf] [supp]
[bibtex]
@InProceedings{Meng_2023_ICCV, author = {Meng, Qingyan and Xiao, Mingqing and Yan, Shen and Wang, Yisen and Lin, Zhouchen and Luo, Zhi-Quan}, title = {Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6166-6176} }
When to Learn What: Model-Adaptive Data Augmentation Curriculum: Chengkai Hou,

Jieyu Zhang,

Tianyi Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2023_ICCV, author = {Hou, Chengkai and Zhang, Jieyu and Zhou, Tianyi}, title = {When to Learn What: Model-Adaptive Data Augmentation Curriculum}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1717-1728} }
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos: Boxiao Pan,

Bokui Shen,

Davis Rempe,

Despoina Paschalidou,

Kaichun Mo,

Yanchao Yang,

Leonidas J. Guibas; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pan_2023_ICCV, author = {Pan, Boxiao and Shen, Bokui and Rempe, Davis and Paschalidou, Despoina and Mo, Kaichun and Yang, Yanchao and Guibas, Leonidas J.}, title = {COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5262-5272} }
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation: Ilwi Yun,

Chanyong Shin,

Hyunku Lee,

Hyuk-Jae Lee,

Chae Eun Rhee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yun_2023_ICCV, author = {Yun, Ilwi and Shin, Chanyong and Lee, Hyunku and Lee, Hyuk-Jae and Rhee, Chae Eun}, title = {EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6101-6112} }
Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network: Chieh-Yun Chen,

Yi-Chung Chen,

Hong-Han Shuai,

Wen-Huang Cheng; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Chieh-Yun and Chen, Yi-Chung and Shuai, Hong-Han and Cheng, Wen-Huang}, title = {Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7513-7522} }
Generating Realistic Images from In-the-wild Sounds: Taegyeong Lee,

Jeonghun Kang,

Hyeonyu Kim,

Taehwan Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2023_ICCV, author = {Lee, Taegyeong and Kang, Jeonghun and Kim, Hyeonyu and Kim, Taehwan}, title = {Generating Realistic Images from In-the-wild Sounds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7160-7170} }
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning: Shuo He,

Guowu Yang,

Lei Feng; [pdf]
[bibtex]
@InProceedings{He_2023_ICCV, author = {He, Shuo and Yang, Guowu and Feng, Lei}, title = {Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1792-1801} }
Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models: Dohwan Ko,

Ji Soo Lee,

Miso Choi,

Jaewon Chu,

Jihwan Park,

Hyunwoo J. Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ko_2023_ICCV, author = {Ko, Dohwan and Lee, Ji Soo and Choi, Miso and Chu, Jaewon and Park, Jihwan and Kim, Hyunwoo J.}, title = {Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3101-3112} }
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation: Gilles Puy,

Alexandre Boulch,

Renaud Marlet; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Puy_2023_ICCV, author = {Puy, Gilles and Boulch, Alexandre and Marlet, Renaud}, title = {Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3379-3389} }
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference: Hongwu Peng,

Shaoyi Huang,

Tong Zhou,

Yukui Luo,

Chenghong Wang,

Zigeng Wang,

Jiahui Zhao,

Xi Xie,

Ang Li,

Tony Geng,

Kaleel Mahmood,

Wujie Wen,

Xiaolin Xu,

Caiwen Ding; [pdf] [arXiv]
[bibtex]
@InProceedings{Peng_2023_ICCV, author = {Peng, Hongwu and Huang, Shaoyi and Zhou, Tong and Luo, Yukui and Wang, Chenghong and Wang, Zigeng and Zhao, Jiahui and Xie, Xi and Li, Ang and Geng, Tony and Mahmood, Kaleel and Wen, Wujie and Xu, Xiaolin and Ding, Caiwen}, title = {AutoReP: Automatic ReLU Replacement for Fast Private Network Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5178-5188} }
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation: Haobo Jiang,

Zheng Dang,

Shuo Gu,

Jin Xie,

Mathieu Salzmann,

Jian Yang; [pdf]
[bibtex]
@InProceedings{Jiang_2023_ICCV, author = {Jiang, Haobo and Dang, Zheng and Gu, Shuo and Xie, Jin and Salzmann, Mathieu and Yang, Jian}, title = {Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3427-3437} }
GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning: Desai Xie,

Ping Hu,

Xin Sun,

Soren Pirk,

Jianming Zhang,

Radomir Mech,

Arie E. Kaufman; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2023_ICCV, author = {Xie, Desai and Hu, Ping and Sun, Xin and Pirk, Soren and Zhang, Jianming and Mech, Radomir and Kaufman, Arie E.}, title = {GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7409-7419} }
Rethinking Mobile Block for Efficient Attention-based Models: Jiangning Zhang,

Xiangtai Li,

Jian Li,

Liang Liu,

Zhucun Xue,

Boshen Zhang,

Zhengkai Jiang,

Tianxin Huang,

Yabiao Wang,

Chengjie Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jiangning and Li, Xiangtai and Li, Jian and Liu, Liang and Xue, Zhucun and Zhang, Boshen and Jiang, Zhengkai and Huang, Tianxin and Wang, Yabiao and Wang, Chengjie}, title = {Rethinking Mobile Block for Efficient Attention-based Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1389-1400} }
REAP: A Large-Scale Realistic Adversarial Patch Benchmark: Nabeel Hingun,

Chawin Sitawarin,

Jerry Li,

David Wagner; [pdf] [arXiv]
[bibtex]
@InProceedings{Hingun_2023_ICCV, author = {Hingun, Nabeel and Sitawarin, Chawin and Li, Jerry and Wagner, David}, title = {REAP: A Large-Scale Realistic Adversarial Patch Benchmark}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4640-4651} }
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields: Chenxin Li,

Brandon Y. Feng,

Zhiwen Fan,

Panwang Pan,

Zhangyang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Chenxin and Feng, Brandon Y. and Fan, Zhiwen and Pan, Panwang and Wang, Zhangyang}, title = {StegaNeRF: Embedding Invisible Information within Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {441-453} }
Robust Evaluation of Diffusion-Based Adversarial Purification: Minjong Lee,

Dongwoo Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2023_ICCV, author = {Lee, Minjong and Kim, Dongwoo}, title = {Robust Evaluation of Diffusion-Based Adversarial Purification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {134-144} }
Hyperbolic Audio-visual Zero-shot Learning: Jie Hong,

Zeeshan Hayder,

Junlin Han,

Pengfei Fang,

Mehrtash Harandi,

Lars Petersson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2023_ICCV, author = {Hong, Jie and Hayder, Zeeshan and Han, Junlin and Fang, Pengfei and Harandi, Mehrtash and Petersson, Lars}, title = {Hyperbolic Audio-visual Zero-shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7873-7883} }
ModelGiF: Gradient Fields for Model Functional Distance: Jie Song,

Zhengqi Xu,

Sai Wu,

Gang Chen,

Mingli Song; [pdf] [arXiv]
[bibtex]
@InProceedings{Song_2023_ICCV, author = {Song, Jie and Xu, Zhengqi and Wu, Sai and Chen, Gang and Song, Mingli}, title = {ModelGiF: Gradient Fields for Model Functional Distance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6125-6135} }
SIGMA: Scale-Invariant Global Sparse Shape Matching: Maolin Gao,

Paul Roetzer,

Marvin Eisenberger,

Zorah Lähner,

Michael Moeller,

Daniel Cremers,

Florian Bernard; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2023_ICCV, author = {Gao, Maolin and Roetzer, Paul and Eisenberger, Marvin and L\"ahner, Zorah and Moeller, Michael and Cremers, Daniel and Bernard, Florian}, title = {SIGMA: Scale-Invariant Global Sparse Shape Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {645-654} }
VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs: Moayed Haji Ali,

Andrew Bond,

Tolga Birdal,

Duygu Ceylan,

Levent Karacan,

Erkut Erdem,

Aykut Erdem; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ali_2023_ICCV, author = {Ali, Moayed Haji and Bond, Andrew and Birdal, Tolga and Ceylan, Duygu and Karacan, Levent and Erdem, Erkut and Erdem, Aykut}, title = {VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7523-7534} }
LeaF: Learning Frames for 4D Point Cloud Sequence Understanding: Yunze Liu,

Junyu Chen,

Zekai Zhang,

Jingwei Huang,

Li Yi; [pdf]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yunze and Chen, Junyu and Zhang, Zekai and Huang, Jingwei and Yi, Li}, title = {LeaF: Learning Frames for 4D Point Cloud Sequence Understanding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {604-613} }
Towards Improved Input Masking for Convolutional Neural Networks: Sriram Balasubramanian,

Soheil Feizi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Balasubramanian_2023_ICCV, author = {Balasubramanian, Sriram and Feizi, Soheil}, title = {Towards Improved Input Masking for Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1855-1865} }
Gramian Attention Heads are Strong yet Efficient Vision Learners: Jongbin Ryu,

Dongyoon Han,

Jongwoo Lim; [pdf] [supp]
[bibtex]
@InProceedings{Ryu_2023_ICCV, author = {Ryu, Jongbin and Han, Dongyoon and Lim, Jongwoo}, title = {Gramian Attention Heads are Strong yet Efficient Vision Learners}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5841-5851} }
MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices: Andranik Sargsyan,

Shant Navasardyan,

Xingqian Xu,

Humphrey Shi; [pdf] [supp]
[bibtex]
@InProceedings{Sargsyan_2023_ICCV, author = {Sargsyan, Andranik and Navasardyan, Shant and Xu, Xingqian and Shi, Humphrey}, title = {MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7335-7345} }
A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction: Chongshan Lu,

Fukun Yin,

Xin Chen,

Wen Liu,

Tao Chen,

Gang Yu,

Jiayuan Fan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2023_ICCV, author = {Lu, Chongshan and Yin, Fukun and Chen, Xin and Liu, Wen and Chen, Tao and Yu, Gang and Fan, Jiayuan}, title = {A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7557-7567} }
Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection: Yuxin Fang,

Shusheng Yang,

Shijie Wang,

Yixiao Ge,

Ying Shan,

Xinggang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fang_2023_ICCV, author = {Fang, Yuxin and Yang, Shusheng and Wang, Shijie and Ge, Yixiao and Shan, Ying and Wang, Xinggang}, title = {Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6244-6253} }
Spatio-Temporal Crop Aggregation for Video Representation Learning: Sepehr Sameni,

Simon Jenni,

Paolo Favaro; [pdf] [arXiv]
[bibtex]
@InProceedings{Sameni_2023_ICCV, author = {Sameni, Sepehr and Jenni, Simon and Favaro, Paolo}, title = {Spatio-Temporal Crop Aggregation for Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5664-5674} }
Zero-guidance Segmentation Using Zero Segment Labels: Pitchaporn Rewatbowornwong,

Nattanat Chatthee,

Ekapol Chuangsuwanich,

Supasorn Suwajanakorn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rewatbowornwong_2023_ICCV, author = {Rewatbowornwong, Pitchaporn and Chatthee, Nattanat and Chuangsuwanich, Ekapol and Suwajanakorn, Supasorn}, title = {Zero-guidance Segmentation Using Zero Segment Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1162-1172} }
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence: Yuhao Zhou,

Mingjia Shi,

Yuanxi Li,

Yanan Sun,

Qing Ye,

Jiancheng Lv; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2023_ICCV, author = {Zhou, Yuhao and Shi, Mingjia and Li, Yuanxi and Sun, Yanan and Ye, Qing and Lv, Jiancheng}, title = {Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5031-5040} }
CTVIS: Consistent Training for Online Video Instance Segmentation: Kaining Ying,

Qing Zhong,

Weian Mao,

Zhenhua Wang,

Hao Chen,

Lin Yuanbo Wu,

Yifan Liu,

Chengxiang Fan,

Yunzhi Zhuge,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ying_2023_ICCV, author = {Ying, Kaining and Zhong, Qing and Mao, Weian and Wang, Zhenhua and Chen, Hao and Wu, Lin Yuanbo and Liu, Yifan and Fan, Chengxiang and Zhuge, Yunzhi and Shen, Chunhua}, title = {CTVIS: Consistent Training for Online Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {899-908} }
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning: Tiankang Su,

Huihui Song,

Dong Liu,

Bo Liu,

Qingshan Liu; [pdf]
[bibtex]
@InProceedings{Su_2023_ICCV, author = {Su, Tiankang and Song, Huihui and Liu, Dong and Liu, Bo and Liu, Qingshan}, title = {Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {688-698} }
GlobalMapper: Arbitrary-Shaped Urban Layout Generation: Liu He,

Daniel Aliaga; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2023_ICCV, author = {He, Liu and Aliaga, Daniel}, title = {GlobalMapper: Arbitrary-Shaped Urban Layout Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {454-464} }
Unified Coarse-to-Fine Alignment for Video-Text Retrieval: Ziyang Wang,

Yi-Lin Sung,

Feng Cheng,

Gedas Bertasius,

Mohit Bansal; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Ziyang and Sung, Yi-Lin and Cheng, Feng and Bertasius, Gedas and Bansal, Mohit}, title = {Unified Coarse-to-Fine Alignment for Video-Text Retrieval}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2816-2827} }
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models: Juncheng Li,

Minghe Gao,

Longhui Wei,

Siliang Tang,

Wenqiao Zhang,

Mengze Li,

Wei Ji,

Qi Tian,

Tat-Seng Chua,

Yueting Zhuang; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Juncheng and Gao, Minghe and Wei, Longhui and Tang, Siliang and Zhang, Wenqiao and Li, Mengze and Ji, Wei and Tian, Qi and Chua, Tat-Seng and Zhuang, Yueting}, title = {Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2551-2562} }
MUter: Machine Unlearning on Adversarially Trained Models: Junxu Liu,

Mingsheng Xue,

Jian Lou,

Xiaoyu Zhang,

Li Xiong,

Zhan Qin; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Junxu and Xue, Mingsheng and Lou, Jian and Zhang, Xiaoyu and Xiong, Li and Qin, Zhan}, title = {MUter: Machine Unlearning on Adversarially Trained Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4892-4902} }
ParCNetV2: Oversized Kernel with Enhanced Attention: Ruihan Xu,

Haokui Zhang,

Wenze Hu,

Shiliang Zhang,

Xiaoyu Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Ruihan and Zhang, Haokui and Hu, Wenze and Zhang, Shiliang and Wang, Xiaoyu}, title = {ParCNetV2: Oversized Kernel with Enhanced Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5752-5762} }
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation: Haozhe Lin,

Zequn Chen,

Jinzhi Zhang,

Bing Bai,

Yu Wang,

Ruqi Huang,

Lu Fang; [pdf] [supp]
[bibtex]
@InProceedings{Lin_2023_ICCV, author = {Lin, Haozhe and Chen, Zequn and Zhang, Jinzhi and Bai, Bing and Wang, Yu and Huang, Ruqi and Fang, Lu}, title = {RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3758-3768} }
PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction: Wenjie Ding,

Limeng Qiao,

Xi Qiu,

Chi Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2023_ICCV, author = {Ding, Wenjie and Qiao, Limeng and Qiu, Xi and Zhang, Chi}, title = {PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3672-3682} }
Universal Domain Adaptation via Compressive Attention Matching: Didi Zhu,

Yinchuan Li,

Junkun Yuan,

Zexi Li,

Kun Kuang,

Chao Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Didi and Li, Yinchuan and Yuan, Junkun and Li, Zexi and Kuang, Kun and Wu, Chao}, title = {Universal Domain Adaptation via Compressive Attention Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6974-6985} }
Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport: Wentong Li,

Yuqian Yuan,

Song Wang,

Jianke Zhu,

Jianshu Li,

Jian Liu,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Wentong and Yuan, Yuqian and Wang, Song and Zhu, Jianke and Li, Jianshu and Liu, Jian and Zhang, Lei}, title = {Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {572-581} }
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World: Donghua Wang,

Wen Yao,

Tingsong Jiang,

Chao Li,

Xiaoqian Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Donghua and Yao, Wen and Jiang, Tingsong and Li, Chao and Chen, Xiaoqian}, title = {RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4455-4465} }
Nearest Neighbor Guidance for Out-of-Distribution Detection: Jaewoo Park,

Yoon Gyo Jung,

Andrew Beng Jin Teoh; [pdf] [supp]
[bibtex]
@InProceedings{Park_2023_ICCV, author = {Park, Jaewoo and Jung, Yoon Gyo and Teoh, Andrew Beng Jin}, title = {Nearest Neighbor Guidance for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1686-1695} }
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions: Gene Chou,

Yuval Bahat,

Felix Heide; [pdf]
[bibtex]
@InProceedings{Chou_2023_ICCV, author = {Chou, Gene and Bahat, Yuval and Heide, Felix}, title = {Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2262-2272} }
Open-Vocabulary Object Detection With an Open Corpus: Jiong Wang,

Huiming Zhang,

Haiwen Hong,

Xuan Jin,

Yuan He,

Hui Xue,

Zhou Zhao; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Jiong and Zhang, Huiming and Hong, Haiwen and Jin, Xuan and He, Yuan and Xue, Hui and Zhao, Zhou}, title = {Open-Vocabulary Object Detection With an Open Corpus}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6759-6769} }
Spectrum-guided Multi-granularity Referring Video Object Segmentation: Bo Miao,

Mohammed Bennamoun,

Yongsheng Gao,

Ajmal Mian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Miao_2023_ICCV, author = {Miao, Bo and Bennamoun, Mohammed and Gao, Yongsheng and Mian, Ajmal}, title = {Spectrum-guided Multi-granularity Referring Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {920-930} }
Sound Source Localization is All about Cross-Modal Alignment: Arda Senocak,

Hyeonggon Ryu,

Junsik Kim,

Tae-Hyun Oh,

Hanspeter Pfister,

Joon Son Chung; [pdf] [arXiv]
[bibtex]
@InProceedings{Senocak_2023_ICCV, author = {Senocak, Arda and Ryu, Hyeonggon and Kim, Junsik and Oh, Tae-Hyun and Pfister, Hanspeter and Chung, Joon Son}, title = {Sound Source Localization is All about Cross-Modal Alignment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7777-7787} }
BlendFace: Re-designing Identity Encoders for Face-Swapping: Kaede Shiohara,

Xingchao Yang,

Takafumi Taketomi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shiohara_2023_ICCV, author = {Shiohara, Kaede and Yang, Xingchao and Taketomi, Takafumi}, title = {BlendFace: Re-designing Identity Encoders for Face-Swapping}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7634-7644} }
Test-time Personalizable Forecasting of 3D Human Poses: Qiongjie Cui,

Huaijiang Sun,

Jianfeng Lu,

Weiqing Li,

Bin Li,

Hongwei Yi,

Haofan Wang; [pdf] [supp]
[bibtex]
@InProceedings{Cui_2023_ICCV, author = {Cui, Qiongjie and Sun, Huaijiang and Lu, Jianfeng and Li, Weiqing and Li, Bin and Yi, Hongwei and Wang, Haofan}, title = {Test-time Personalizable Forecasting of 3D Human Poses}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {274-283} }
DreamBooth3D: Subject-Driven Text-to-3D Generation: Amit Raj,

Srinivas Kaza,

Ben Poole,

Michael Niemeyer,

Nataniel Ruiz,

Ben Mildenhall,

Shiran Zada,

Kfir Aberman,

Michael Rubinstein,

Jonathan Barron,

Yuanzhen Li,

Varun Jampani; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Raj_2023_ICCV, author = {Raj, Amit and Kaza, Srinivas and Poole, Ben and Niemeyer, Michael and Ruiz, Nataniel and Mildenhall, Ben and Zada, Shiran and Aberman, Kfir and Rubinstein, Michael and Barron, Jonathan and Li, Yuanzhen and Jampani, Varun}, title = {DreamBooth3D: Subject-Driven Text-to-3D Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2349-2359} }
Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation: Yaolei Qi,

Yuting He,

Xiaoming Qi,

Yuan Zhang,

Guanyu Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qi_2023_ICCV, author = {Qi, Yaolei and He, Yuting and Qi, Xiaoming and Zhang, Yuan and Yang, Guanyu}, title = {Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6070-6079} }
Learning to Upsample by Learning to Sample: Wenze Liu,

Hao Lu,

Hongtao Fu,

Zhiguo Cao; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Wenze and Lu, Hao and Fu, Hongtao and Cao, Zhiguo}, title = {Learning to Upsample by Learning to Sample}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6027-6037} }
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models: Junyi Zhang,

Jiaqi Guo,

Shizhao Sun,

Jian-Guang Lou,

Dongmei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Junyi and Guo, Jiaqi and Sun, Shizhao and Lou, Jian-Guang and Zhang, Dongmei}, title = {LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7226-7236} }
Efficiently Robustify Pre-Trained Models: Nishant Jain,

Harkirat Behl,

Yogesh Singh Rawat,

Vibhav Vineet; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jain_2023_ICCV, author = {Jain, Nishant and Behl, Harkirat and Rawat, Yogesh Singh and Vineet, Vibhav}, title = {Efficiently Robustify Pre-Trained Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5505-5515} }
XMem++: Production-level Video Segmentation From Few Annotated Frames: Maksym Bekuzarov,

Ariana Bermudez,

Joon-Young Lee,

Hao Li; [pdf] [supp]
[bibtex]
@InProceedings{Bekuzarov_2023_ICCV, author = {Bekuzarov, Maksym and Bermudez, Ariana and Lee, Joon-Young and Li, Hao}, title = {XMem++: Production-level Video Segmentation From Few Annotated Frames}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {635-644} }
End-to-End Diffusion Latent Optimization Improves Classifier Guidance: Bram Wallace,

Akash Gokul,

Stefano Ermon,

Nikhil Naik; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wallace_2023_ICCV, author = {Wallace, Bram and Gokul, Akash and Ermon, Stefano and Naik, Nikhil}, title = {End-to-End Diffusion Latent Optimization Improves Classifier Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7280-7290} }
TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization: Yiran Liu,

Xin Feng,

Yunlong Wang,

Wu Yang,

Di Ming; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yiran and Feng, Xin and Wang, Yunlong and Yang, Wu and Ming, Di}, title = {TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4762-4771} }
Scratching Visual Transformer's Back with Uniform Attention: Nam Hyeon-Woo,

Kim Yu-Ji,

Byeongho Heo,

Dongyoon Han,

Seong Joon Oh,

Tae-Hyun Oh; [pdf] [supp]
[bibtex]
@InProceedings{Hyeon-Woo_2023_ICCV, author = {Hyeon-Woo, Nam and Yu-Ji, Kim and Heo, Byeongho and Han, Dongyoon and Oh, Seong Joon and Oh, Tae-Hyun}, title = {Scratching Visual Transformer's Back with Uniform Attention}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5807-5818} }
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation: Jay Zhangjie Wu,

Yixiao Ge,

Xintao Wang,

Stan Weixian Lei,

Yuchao Gu,

Yufei Shi,

Wynne Hsu,

Ying Shan,

Xiaohu Qie,

Mike Zheng Shou; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Jay Zhangjie and Ge, Yixiao and Wang, Xintao and Lei, Stan Weixian and Gu, Yuchao and Shi, Yufei and Hsu, Wynne and Shan, Ying and Qie, Xiaohu and Shou, Mike Zheng}, title = {Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7623-7633} }
Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection: Yilong Lv,

Min Li,

Yujie He,

Shaopeng Li,

Zhuzhen He,

Aitao Yang; [pdf]
[bibtex]
@InProceedings{Lv_2023_ICCV, author = {Lv, Yilong and Li, Min and He, Yujie and Li, Shaopeng and He, Zhuzhen and Yang, Aitao}, title = {Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6275-6284} }
Extensible and Efficient Proxy for Neural Architecture Search: Yuhong Li,

Jiajie Li,

Cong Hao,

Pan Li,

Jinjun Xiong,

Deming Chen; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Yuhong and Li, Jiajie and Hao, Cong and Li, Pan and Xiong, Jinjun and Chen, Deming}, title = {Extensible and Efficient Proxy for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6199-6210} }
MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects: Yuanzhi Liang,

Xiaohan Wang,

Linchao Zhu,

Yi Yang; [pdf] [supp]
[bibtex]
@InProceedings{Liang_2023_ICCV, author = {Liang, Yuanzhi and Wang, Xiaohan and Zhu, Linchao and Yang, Yi}, title = {MAAL: Multimodality-Aware Autoencoder-Based Affordance Learning for 3D Articulated Objects}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {217-227} }
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples: Qiufan Ji,

Lin Wang,

Cong Shi,

Shengshan Hu,

Yingying Chen,

Lichao Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ji_2023_ICCV, author = {Ji, Qiufan and Wang, Lin and Shi, Cong and Hu, Shengshan and Chen, Yingying and Sun, Lichao}, title = {Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4295-4304} }
Poincare ResNet: Max van Spengler,

Erwin Berkhout,

Pascal Mettes; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{van_Spengler_2023_ICCV, author = {van Spengler, Max and Berkhout, Erwin and Mettes, Pascal}, title = {Poincare ResNet}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5419-5428} }
Subclass-balancing Contrastive Learning for Long-tailed Recognition: Chengkai Hou,

Jieyu Zhang,

Haonan Wang,

Tianyi Zhou; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2023_ICCV, author = {Hou, Chengkai and Zhang, Jieyu and Wang, Haonan and Zhou, Tianyi}, title = {Subclass-balancing Contrastive Learning for Long-tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5395-5407} }
Dynamic Mesh-Aware Radiance Fields: Yi-Ling Qiao,

Alexander Gao,

Yiran Xu,

Yue Feng,

Jia-Bin Huang,

Ming C. Lin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qiao_2023_ICCV, author = {Qiao, Yi-Ling and Gao, Alexander and Xu, Yiran and Feng, Yue and Huang, Jia-Bin and Lin, Ming C.}, title = {Dynamic Mesh-Aware Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {385-396} }
Learning Support and Trivial Prototypes for Interpretable Image Classification: Chong Wang,

Yuyuan Liu,

Yuanhong Chen,

Fengbei Liu,

Yu Tian,

Davis McCarthy,

Helen Frazer,

Gustavo Carneiro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Chong and Liu, Yuyuan and Chen, Yuanhong and Liu, Fengbei and Tian, Yu and McCarthy, Davis and Frazer, Helen and Carneiro, Gustavo}, title = {Learning Support and Trivial Prototypes for Interpretable Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2062-2072} }
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection: Manyuan Zhang,

Guanglu Song,

Yu Liu,

Hongsheng Li; [pdf]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Manyuan and Song, Guanglu and Liu, Yu and Li, Hongsheng}, title = {Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6601-6610} }
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization: Hao Fang,

Bin Chen,

Xuan Wang,

Zhi Wang,

Shu-Tao Xia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fang_2023_ICCV, author = {Fang, Hao and Chen, Bin and Wang, Xuan and Wang, Zhi and Xia, Shu-Tao}, title = {GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4967-4976} }
Generalized Sum Pooling for Metric Learning: Yeti Z. Gürbüz,

Ozan Sener,

A. Aydin Alatan; [pdf] [supp]
[bibtex]
@InProceedings{Gurbuz_2023_ICCV, author = {G\"urb\"uz, Yeti Z. and Sener, Ozan and Alatan, A. Aydin}, title = {Generalized Sum Pooling for Metric Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5462-5473} }
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection: Ming Li,

Jie Wu,

Xionghui Wang,

Chen Chen,

Jie Qin,

Xuefeng Xiao,

Rui Wang,

Min Zheng,

Xin Pan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Ming and Wu, Jie and Wang, Xionghui and Chen, Chen and Qin, Jie and Xiao, Xuefeng and Wang, Rui and Zheng, Min and Pan, Xin}, title = {AlignDet: Aligning Pre-training and Fine-tuning in Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6866-6876} }
Dense Text-to-Image Generation with Attention Modulation: Yunji Kim,

Jiyoung Lee,

Jin-Hwa Kim,

Jung-Woo Ha,

Jun-Yan Zhu; [pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2023_ICCV, author = {Kim, Yunji and Lee, Jiyoung and Kim, Jin-Hwa and Ha, Jung-Woo and Zhu, Jun-Yan}, title = {Dense Text-to-Image Generation with Attention Modulation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7701-7711} }
Sentence Attention Blocks for Answer Grounding: Seyedalireza Khoshsirat,

Chandra Kambhamettu; [pdf] [arXiv]
[bibtex]
@InProceedings{Khoshsirat_2023_ICCV, author = {Khoshsirat, Seyedalireza and Kambhamettu, Chandra}, title = {Sentence Attention Blocks for Answer Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6080-6090} }
Towards Fairness-aware Adversarial Network Pruning: Lei Zhang,

Zhibo Wang,

Xiaowei Dong,

Yunhe Feng,

Xiaoyi Pang,

Zhifei Zhang,

Kui Ren; [pdf]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Lei and Wang, Zhibo and Dong, Xiaowei and Feng, Yunhe and Pang, Xiaoyi and Zhang, Zhifei and Ren, Kui}, title = {Towards Fairness-aware Adversarial Network Pruning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5168-5177} }
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models: Hee-Seon Kim,

Minji Son,

Minbeom Kim,

Myung-Joon Kwon,

Changick Kim; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2023_ICCV, author = {Kim, Hee-Seon and Son, Minji and Kim, Minbeom and Kwon, Myung-Joon and Kim, Changick}, title = {Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4325-4334} }
Smoothness Similarity Regularization for Few-Shot GAN Adaptation: Vadim Sushko,

Ruyu Wang,

Juergen Gall; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sushko_2023_ICCV, author = {Sushko, Vadim and Wang, Ruyu and Gall, Juergen}, title = {Smoothness Similarity Regularization for Few-Shot GAN Adaptation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7073-7082} }
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding: Zehan Wang,

Haifeng Huang,

Yang Zhao,

Linjun Li,

Xize Cheng,

Yichen Zhu,

Aoxiong Yin,

Zhou Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Zehan and Huang, Haifeng and Zhao, Yang and Li, Linjun and Cheng, Xize and Zhu, Yichen and Yin, Aoxiong and Zhao, Zhou}, title = {Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2662-2671} }
zPROBE: Zero Peek Robustness Checks for Federated Learning: Zahra Ghodsi,

Mojan Javaheripi,

Nojan Sheybani,

Xinqiao Zhang,

Ke Huang,

Farinaz Koushanfar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ghodsi_2023_ICCV, author = {Ghodsi, Zahra and Javaheripi, Mojan and Sheybani, Nojan and Zhang, Xinqiao and Huang, Ke and Koushanfar, Farinaz}, title = {zPROBE: Zero Peek Robustness Checks for Federated Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4860-4870} }
Generative Prompt Model for Weakly Supervised Object Localization: Yuzhong Zhao,

Qixiang Ye,

Weijia Wu,

Chunhua Shen,

Fang Wan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2023_ICCV, author = {Zhao, Yuzhong and Ye, Qixiang and Wu, Weijia and Shen, Chunhua and Wan, Fang}, title = {Generative Prompt Model for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6351-6361} }
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation: Liang Xu,

Ziyang Song,

Dongliang Wang,

Jing Su,

Zhicheng Fang,

Chenjing Ding,

Weihao Gan,

Yichao Yan,

Xin Jin,

Xiaokang Yang,

Wenjun Zeng,

Wei Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Liang and Song, Ziyang and Wang, Dongliang and Su, Jing and Fang, Zhicheng and Ding, Chenjing and Gan, Weihao and Yan, Yichao and Jin, Xin and Yang, Xiaokang and Zeng, Wenjun and Wu, Wei}, title = {ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2228-2238} }
Hiding Visual Information via Obfuscating Adversarial Perturbations: Zhigang Su,

Dawei Zhou,

Nannan Wang,

Decheng Liu,

Zhen Wang,

Xinbo Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2023_ICCV, author = {Su, Zhigang and Zhou, Dawei and Wang, Nannan and Liu, Decheng and Wang, Zhen and Gao, Xinbo}, title = {Hiding Visual Information via Obfuscating Adversarial Perturbations}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4356-4366} }
Category-aware Allocation Transformer for Weakly Supervised Object Localization: Zhiwei Chen,

Jinren Ding,

Liujuan Cao,

Yunhang Shen,

Shengchuan Zhang,

Guannan Jiang,

Rongrong Ji; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Zhiwei and Ding, Jinren and Cao, Liujuan and Shen, Yunhang and Zhang, Shengchuan and Jiang, Guannan and Ji, Rongrong}, title = {Category-aware Allocation Transformer for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6643-6652} }
Domain Specified Optimization for Deployment Authorization: Haotian Wang,

Haoang Chi,

Wenjing Yang,

Zhipeng Lin,

Mingyang Geng,

Long Lan,

Jing Zhang,

Dacheng Tao; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Haotian and Chi, Haoang and Yang, Wenjing and Lin, Zhipeng and Geng, Mingyang and Lan, Long and Zhang, Jing and Tao, Dacheng}, title = {Domain Specified Optimization for Deployment Authorization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5095-5105} }
Locally Stylized Neural Radiance Fields: Hong-Wing Pang,

Binh-Son Hua,

Sai-Kit Yeung; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2023_ICCV, author = {Pang, Hong-Wing and Hua, Binh-Son and Yeung, Sai-Kit}, title = {Locally Stylized Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {307-316} }
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding: Yang Liu,

Jiahua Zhang,

Qingchao Chen,

Yuxin Peng; [pdf]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yang and Zhang, Jiahua and Chen, Qingchao and Peng, Yuxin}, title = {Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2828-2838} }
Luminance-aware Color Transform for Multiple Exposure Correction: Jong-Hyeon Baek,

DaeHyun Kim,

Su-Min Choi,

Hyo-jun Lee,

Hanul Kim,

Yeong Jun Koh; [pdf] [supp]
[bibtex]
@InProceedings{Baek_2023_ICCV, author = {Baek, Jong-Hyeon and Kim, DaeHyun and Choi, Su-Min and Lee, Hyo-jun and Kim, Hanul and Koh, Yeong Jun}, title = {Luminance-aware Color Transform for Multiple Exposure Correction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6156-6165} }
A Simple Framework for Open-Vocabulary Segmentation and Detection: Hao Zhang,

Feng Li,

Xueyan Zou,

Shilong Liu,

Chunyuan Li,

Jianwei Yang,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Hao and Li, Feng and Zou, Xueyan and Liu, Shilong and Li, Chunyuan and Yang, Jianwei and Zhang, Lei}, title = {A Simple Framework for Open-Vocabulary Segmentation and Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1020-1031} }
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation: Rui Sun,

Yuan Wang,

Huayu Mai,

Tianzhu Zhang,

Feng Wu; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2023_ICCV, author = {Sun, Rui and Wang, Yuan and Mai, Huayu and Zhang, Tianzhu and Wu, Feng}, title = {Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1218-1228} }
Deep Directly-Trained Spiking Neural Networks for Object Detection: Qiaoyi Su,

Yuhong Chou,

Yifan Hu,

Jianing Li,

Shijie Mei,

Ziyang Zhang,

Guoqi Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2023_ICCV, author = {Su, Qiaoyi and Chou, Yuhong and Hu, Yifan and Li, Jianing and Mei, Shijie and Zhang, Ziyang and Li, Guoqi}, title = {Deep Directly-Trained Spiking Neural Networks for Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6555-6565} }
Masked Autoencoders Are Stronger Knowledge Distillers: Shanshan Lao,

Guanglu Song,

Boxiao Liu,

Yu Liu,

Yujiu Yang; [pdf] [supp]
[bibtex]
@InProceedings{Lao_2023_ICCV, author = {Lao, Shanshan and Song, Guanglu and Liu, Boxiao and Liu, Yu and Yang, Yujiu}, title = {Masked Autoencoders Are Stronger Knowledge Distillers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6384-6393} }
ASIC: Aligning Sparse in-the-wild Image Collections: Kamal Gupta,

Varun Jampani,

Carlos Esteves,

Abhinav Shrivastava,

Ameesh Makadia,

Noah Snavely,

Abhishek Kar; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gupta_2023_ICCV, author = {Gupta, Kamal and Jampani, Varun and Esteves, Carlos and Shrivastava, Abhinav and Makadia, Ameesh and Snavely, Noah and Kar, Abhishek}, title = {ASIC: Aligning Sparse in-the-wild Image Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4134-4145} }
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation: Yuyuan Liu,

Choubo Ding,

Yu Tian,

Guansong Pang,

Vasileios Belagiannis,

Ian Reid,

Gustavo Carneiro; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yuyuan and Ding, Choubo and Tian, Yu and Pang, Guansong and Belagiannis, Vasileios and Reid, Ian and Carneiro, Gustavo}, title = {Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1151-1161} }
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning: Hanjae Kim,

Jiyoung Lee,

Seongheon Park,

Kwanghoon Sohn; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2023_ICCV, author = {Kim, Hanjae and Lee, Jiyoung and Park, Seongheon and Sohn, Kwanghoon}, title = {Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5675-5685} }
Segment Every Reference Object in Spatial and Temporal Spaces: Jiannan Wu,

Yi Jiang,

Bin Yan,

Huchuan Lu,

Zehuan Yuan,

Ping Luo; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Jiannan and Jiang, Yi and Yan, Bin and Lu, Huchuan and Yuan, Zehuan and Luo, Ping}, title = {Segment Every Reference Object in Spatial and Temporal Spaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2538-2550} }
Unified Out-Of-Distribution Detection: A Model-Specific Perspective: Reza Averly,

Wei-Lun Chao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Averly_2023_ICCV, author = {Averly, Reza and Chao, Wei-Lun}, title = {Unified Out-Of-Distribution Detection: A Model-Specific Perspective}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1453-1463} }
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels: Ziyi Zhang,

Weikai Chen,

Chaowei Fang,

Zhen Li,

Lechao Chen,

Liang Lin,

Guanbin Li; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Ziyi and Chen, Weikai and Fang, Chaowei and Li, Zhen and Chen, Lechao and Lin, Liang and Li, Guanbin}, title = {RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1644-1654} }
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation: Kaixin Cai,

Pengzhen Ren,

Yi Zhu,

Hang Xu,

Jianzhuang Liu,

Changlin Li,

Guangrun Wang,

Xiaodan Liang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2023_ICCV, author = {Cai, Kaixin and Ren, Pengzhen and Zhu, Yi and Xu, Hang and Liu, Jianzhuang and Li, Changlin and Wang, Guangrun and Liang, Xiaodan}, title = {MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1196-1205} }
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis: Marcel C. Bühler,

Kripasindhu Sarkar,

Tanmay Shah,

Gengyan Li,

Daoye Wang,

Leonhard Helminger,

Sergio Orts-Escolano,

Dmitry Lagun,

Otmar Hilliges,

Thabo Beeler,

Abhimitra Meka; [pdf] [supp]
[bibtex]
@InProceedings{Buhler_2023_ICCV, author = {B\"uhler, Marcel C. and Sarkar, Kripasindhu and Shah, Tanmay and Li, Gengyan and Wang, Daoye and Helminger, Leonhard and Orts-Escolano, Sergio and Lagun, Dmitry and Hilliges, Otmar and Beeler, Thabo and Meka, Abhimitra}, title = {Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3402-3413} }
ICICLE: Interpretable Class Incremental Continual Learning: Dawid Rymarczyk,

Joost van de Weijer,

Bartosz Zieliński,

Bartlomiej Twardowski; [pdf] [supp]
[bibtex]
@InProceedings{Rymarczyk_2023_ICCV, author = {Rymarczyk, Dawid and van de Weijer, Joost and Zieli\'nski, Bartosz and Twardowski, Bartlomiej}, title = {ICICLE: Interpretable Class Incremental Continual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1887-1898} }
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning: Xiangyang Zhu,

Renrui Zhang,

Bowei He,

Ziyu Guo,

Ziyao Zeng,

Zipeng Qin,

Shanghang Zhang,

Peng Gao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Xiangyang and Zhang, Renrui and He, Bowei and Guo, Ziyu and Zeng, Ziyao and Qin, Zipeng and Zhang, Shanghang and Gao, Peng}, title = {PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2639-2650} }
Identification of Systematic Errors of Image Classifiers on Rare Subgroups: Jan Hendrik Metzen,

Robin Hutmacher,

N. Grace Hua,

Valentyn Boreiko,

Dan Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Metzen_2023_ICCV, author = {Metzen, Jan Hendrik and Hutmacher, Robin and Hua, N. Grace and Boreiko, Valentyn and Zhang, Dan}, title = {Identification of Systematic Errors of Image Classifiers on Rare Subgroups}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5064-5073} }
Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds: Yu Pei,

Xian Zhao,

Hao Li,

Jingyuan Ma,

Jingwei Zhang,

Shiliang Pu; [pdf]
[bibtex]
@InProceedings{Pei_2023_ICCV, author = {Pei, Yu and Zhao, Xian and Li, Hao and Ma, Jingyuan and Zhang, Jingwei and Pu, Shiliang}, title = {Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6664-6673} }
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification: Rabab Abdelfattah,

Qing Guo,

Xiaoguang Li,

Xiaofeng Wang,

Song Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Abdelfattah_2023_ICCV, author = {Abdelfattah, Rabab and Guo, Qing and Li, Xiaoguang and Wang, Xiaofeng and Wang, Song}, title = {CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1348-1357} }
Your Diffusion Model is Secretly a Zero-Shot Classifier: Alexander C. Li,

Mihir Prabhudesai,

Shivam Duggal,

Ellis Brown,

Deepak Pathak; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2023_ICCV, author = {Li, Alexander C. and Prabhudesai, Mihir and Duggal, Shivam and Brown, Ellis and Pathak, Deepak}, title = {Your Diffusion Model is Secretly a Zero-Shot Classifier}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2206-2217} }
Backpropagation Path Search On Adversarial Transferability: Zhuoer Xu,

Zhangxuan Gu,

Jianping Zhang,

Shiwen Cui,

Changhua Meng,

Weiqiang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Zhuoer and Gu, Zhangxuan and Zhang, Jianping and Cui, Shiwen and Meng, Changhua and Wang, Weiqiang}, title = {Backpropagation Path Search On Adversarial Transferability}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4663-4673} }
Boosting Adversarial Transferability via Gradient Relevance Attack: Hegui Zhu,

Yuchen Ren,

Xiaoyan Sui,

Lianping Yang,

Wuming Jiang; [pdf]
[bibtex]
@InProceedings{Zhu_2023_ICCV, author = {Zhu, Hegui and Ren, Yuchen and Sui, Xiaoyan and Yang, Lianping and Jiang, Wuming}, title = {Boosting Adversarial Transferability via Gradient Relevance Attack}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4741-4750} }
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No: Hualiang Wang,

Yi Li,

Huifeng Yao,

Xiaomeng Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Hualiang and Li, Yi and Yao, Huifeng and Li, Xiaomeng}, title = {CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1802-1812} }
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network: Tao Xie,

Ke Wang,

Siyi Lu,

Yukun Zhang,

Kun Dai,

Xiaoyu Li,

Jie Xu,

Li Wang,

Lijun Zhao,

Xinyu Zhang,

Ruifeng Li; [pdf] [supp]
[bibtex]
@InProceedings{Xie_2023_ICCV, author = {Xie, Tao and Wang, Ke and Lu, Siyi and Zhang, Yukun and Dai, Kun and Li, Xiaoyu and Xu, Jie and Wang, Li and Zhao, Lijun and Zhang, Xinyu and Li, Ruifeng}, title = {CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3523-3533} }
Quality Diversity for Visual Pre-Training: Ruchika Chavhan,

Henry Gouk,

Da Li,

Timothy Hospedales; [pdf] [supp]
[bibtex]
@InProceedings{Chavhan_2023_ICCV, author = {Chavhan, Ruchika and Gouk, Henry and Li, Da and Hospedales, Timothy}, title = {Quality Diversity for Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5384-5394} }
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning: Weikang Wan,

Haoran Geng,

Yun Liu,

Zikang Shan,

Yaodong Yang,

Li Yi,

He Wang; [pdf] [supp]
[bibtex]
@InProceedings{Wan_2023_ICCV, author = {Wan, Weikang and Geng, Haoran and Liu, Yun and Shan, Zikang and Yang, Yaodong and Yi, Li and Wang, He}, title = {UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3891-3902} }
FerKD: Surgical Label Adaptation for Efficient Distillation: Zhiqiang Shen; [pdf] [supp]
[bibtex]
@InProceedings{Shen_2023_ICCV, author = {Shen, Zhiqiang}, title = {FerKD: Surgical Label Adaptation for Efficient Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1666-1675} }
Neural Fields for Structured Lighting: Aarrushi Shandilya,

Benjamin Attal,

Christian Richardt,

James Tompkin,

Matthew O'toole; [pdf] [supp]
[bibtex]
@InProceedings{Shandilya_2023_ICCV, author = {Shandilya, Aarrushi and Attal, Benjamin and Richardt, Christian and Tompkin, James and O'toole, Matthew}, title = {Neural Fields for Structured Lighting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3512-3522} }
ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution: Wenqiang Xu,

Wenxin Du,

Han Xue,

Yutong Li,

Ruolin Ye,

Yan-Feng Wang,

Cewu Lu; [pdf]
[bibtex]
@InProceedings{Xu_2023_ICCV, author = {Xu, Wenqiang and Du, Wenxin and Xue, Han and Li, Yutong and Ye, Ruolin and Wang, Yan-Feng and Lu, Cewu}, title = {ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {58-68} }
Unsupervised Object Localization with Representer Point Selection: Yeonghwan Song,

Seokwoo Jang,

Dina Katabi,

Jeany Son; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2023_ICCV, author = {Song, Yeonghwan and Jang, Seokwoo and Katabi, Dina and Son, Jeany}, title = {Unsupervised Object Localization with Representer Point Selection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6534-6544} }
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics: Sriram Ravindran,

Debraj Basu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ravindran_2023_ICCV, author = {Ravindran, Sriram and Basu, Debraj}, title = {SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {723-733} }
Flatness-Aware Minimization for Domain Generalization: Xingxuan Zhang,

Renzhe Xu,

Han Yu,

Yancheng Dong,

Pengfei Tian,

Peng Cui; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Xingxuan and Xu, Renzhe and Yu, Han and Dong, Yancheng and Tian, Pengfei and Cui, Peng}, title = {Flatness-Aware Minimization for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5189-5202} }
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation: Hansol Kim,

Youngjun Kwak,

Minyoung Jung,

Jinho Shin,

Youngsung Kim,

Changick Kim; [pdf] [arXiv]
[bibtex]
@InProceedings{Kim_2023_ICCV, author = {Kim, Hansol and Kwak, Youngjun and Jung, Minyoung and Shin, Jinho and Kim, Youngsung and Kim, Changick}, title = {ProtoFL: Unsupervised Federated Learning via Prototypical Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6470-6479} }
Multi-label Affordance Mapping from Egocentric Vision: Lorenzo Mur-Labadia,

Jose J. Guerrero,

Ruben Martinez-Cantin; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mur-Labadia_2023_ICCV, author = {Mur-Labadia, Lorenzo and Guerrero, Jose J. and Martinez-Cantin, Ruben}, title = {Multi-label Affordance Mapping from Egocentric Vision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5238-5249} }
Unified Adversarial Patch for Cross-Modal Attacks in the Physical World: Xingxing Wei,

Yao Huang,

Yitong Sun,

Jie Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wei_2023_ICCV, author = {Wei, Xingxing and Huang, Yao and Sun, Yitong and Yu, Jie}, title = {Unified Adversarial Patch for Cross-Modal Attacks in the Physical World}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4445-4454} }
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training: Bumsoo Kim,

Yeonsik Jo,

Jinhyung Kim,

Seunghwan Kim; [pdf]
[bibtex]
@InProceedings{Kim_2023_ICCV, author = {Kim, Bumsoo and Jo, Yeonsik and Kim, Jinhyung and Kim, Seunghwan}, title = {Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2563-2572} }
MixPath: A Unified Approach for One-shot Neural Architecture Search: Xiangxiang Chu,

Shun Lu,

Xudong Li,

Bo Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chu_2023_ICCV, author = {Chu, Xiangxiang and Lu, Shun and Li, Xudong and Zhang, Bo}, title = {MixPath: A Unified Approach for One-shot Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5972-5981} }
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts: Wenyan Cong,

Hanxue Liang,

Peihao Wang,

Zhiwen Fan,

Tianlong Chen,

Mukund Varma,

Yi Wang,

Zhangyang Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cong_2023_ICCV, author = {Cong, Wenyan and Liang, Hanxue and Wang, Peihao and Fan, Zhiwen and Chen, Tianlong and Varma, Mukund and Wang, Yi and Wang, Zhangyang}, title = {Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3193-3204} }
Task-aware Adaptive Learning for Cross-domain Few-shot Learning: Yurong Guo,

Ruoyi Du,

Yuan Dong,

Timothy Hospedales,

Yi-Zhe Song,

Zhanyu Ma; [pdf]
[bibtex]
@InProceedings{Guo_2023_ICCV, author = {Guo, Yurong and Du, Ruoyi and Dong, Yuan and Hospedales, Timothy and Song, Yi-Zhe and Ma, Zhanyu}, title = {Task-aware Adaptive Learning for Cross-domain Few-shot Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1590-1599} }
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling: Zhuoxiao Chen,

Yadan Luo,

Zheng Wang,

Mahsa Baktashmotlagh,

Zi Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2023_ICCV, author = {Chen, Zhuoxiao and Luo, Yadan and Wang, Zheng and Baktashmotlagh, Mahsa and Huang, Zi}, title = {Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3714-3726} }
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory: Ting Lei,

Fabian Caba,

Qingchao Chen,

Hailin Jin,

Yuxin Peng,

Yang Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lei_2023_ICCV, author = {Lei, Ting and Caba, Fabian and Chen, Qingchao and Jin, Hailin and Peng, Yuxin and Liu, Yang}, title = {Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6480-6490} }
Attentive Mask CLIP: Yifan Yang,

Weiquan Huang,

Yixuan Wei,

Houwen Peng,

Xinyang Jiang,

Huiqiang Jiang,

Fangyun Wei,

Yin Wang,

Han Hu,

Lili Qiu,

Yuqing Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2023_ICCV, author = {Yang, Yifan and Huang, Weiquan and Wei, Yixuan and Peng, Houwen and Jiang, Xinyang and Jiang, Huiqiang and Wei, Fangyun and Wang, Yin and Hu, Han and Qiu, Lili and Yang, Yuqing}, title = {Attentive Mask CLIP}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2771-2781} }
Motion-Guided Masking for Spatiotemporal Representation Learning: David Fan,

Jue Wang,

Shuai Liao,

Yi Zhu,

Vimal Bhat,

Hector Santos-Villalobos,

Rohith MV,

Xinyu Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fan_2023_ICCV, author = {Fan, David and Wang, Jue and Liao, Shuai and Zhu, Yi and Bhat, Vimal and Santos-Villalobos, Hector and MV, Rohith and Li, Xinyu}, title = {Motion-Guided Masking for Spatiotemporal Representation Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {5619-5629} }
Urban Radiance Field Representation with Deformable Neural Mesh Primitives: Fan Lu,

Yan Xu,

Guang Chen,

Hongsheng Li,

Kwan-Yee Lin,

Changjun Jiang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2023_ICCV, author = {Lu, Fan and Xu, Yan and Chen, Guang and Li, Hongsheng and Lin, Kwan-Yee and Jiang, Changjun}, title = {Urban Radiance Field Representation with Deformable Neural Mesh Primitives}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {465-476} }
Adaptive Frequency Filters As Efficient Global Token Mixers: Zhipeng Huang,

Zhizheng Zhang,

Cuiling Lan,

Zheng-Jun Zha,

Yan Lu,

Baining Guo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2023_ICCV, author = {Huang, Zhipeng and Zhang, Zhizheng and Lan, Cuiling and Zha, Zheng-Jun and Lu, Yan and Guo, Baining}, title = {Adaptive Frequency Filters As Efficient Global Token Mixers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6049-6059} }
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction: Wenjia Wang,

Yongtao Ge,

Haiyi Mei,

Zhongang Cai,

Qingping Sun,

Yanjun Wang,

Chunhua Shen,

Lei Yang,

Taku Komura; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Wenjia and Ge, Yongtao and Mei, Haiyi and Cai, Zhongang and Sun, Qingping and Wang, Yanjun and Shen, Chunhua and Yang, Lei and Komura, Taku}, title = {Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3925-3935} }
Beyond One-to-One: Rethinking the Referring Image Segmentation: Yutao Hu,

Qixiong Wang,

Wenqi Shao,

Enze Xie,

Zhenguo Li,

Jungong Han,

Ping Luo; [pdf] [supp]
[bibtex]
@InProceedings{Hu_2023_ICCV, author = {Hu, Yutao and Wang, Qixiong and Shao, Wenqi and Xie, Enze and Li, Zhenguo and Han, Jungong and Luo, Ping}, title = {Beyond One-to-One: Rethinking the Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4067-4077} }
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope: Jingwei Zhang,

Farzan Farnia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2023_ICCV, author = {Zhang, Jingwei and Farnia, Farzan}, title = {MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2021-2030} }
Class-Incremental Grouping Network for Continual Audio-Visual Learning: Shentong Mo,

Weiguo Pian,

Yapeng Tian; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mo_2023_ICCV, author = {Mo, Shentong and Pian, Weiguo and Tian, Yapeng}, title = {Class-Incremental Grouping Network for Continual Audio-Visual Learning}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7788-7798} }
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance: Susung Hong,

Gyuseong Lee,

Wooseok Jang,

Seungryong Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2023_ICCV, author = {Hong, Susung and Lee, Gyuseong and Jang, Wooseok and Kim, Seungryong}, title = {Improving Sample Quality of Diffusion Models Using Self-Attention Guidance}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7462-7471} }
Evaluating Data Attribution for Text-to-Image Models: Sheng-Yu Wang,

Alexei A. Efros,

Jun-Yan Zhu,

Richard Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Sheng-Yu and Efros, Alexei A. and Zhu, Jun-Yan and Zhang, Richard}, title = {Evaluating Data Attribution for Text-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7192-7203} }
Delta Denoising Score: Amir Hertz,

Kfir Aberman,

Daniel Cohen-Or; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hertz_2023_ICCV, author = {Hertz, Amir and Aberman, Kfir and Cohen-Or, Daniel}, title = {Delta Denoising Score}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2328-2337} }
Hierarchical Prior Mining for Non-local Multi-View Stereo: Chunlin Ren,

Qingshan Xu,

Shikun Zhang,

Jiaqi Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ren_2023_ICCV, author = {Ren, Chunlin and Xu, Qingshan and Zhang, Shikun and Yang, Jiaqi}, title = {Hierarchical Prior Mining for Non-local Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3611-3620} }
Generative Multiplane Neural Radiance for 3D-Aware Image Generation: Amandeep Kumar,

Ankan Kumar Bhunia,

Sanath Narayan,

Hisham Cholakkal,

Rao Muhammad Anwer,

Salman Khan,

Ming-Hsuan Yang,

Fahad Shahbaz Khan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kumar_2023_ICCV, author = {Kumar, Amandeep and Bhunia, Ankan Kumar and Narayan, Sanath and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Salman and Yang, Ming-Hsuan and Khan, Fahad Shahbaz}, title = {Generative Multiplane Neural Radiance for 3D-Aware Image Generation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7388-7398} }
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings: Yuhe Liu,

Chuanjian Liu,

Kai Han,

Quan Tang,

Zengchang Qin; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Yuhe and Liu, Chuanjian and Han, Kai and Tang, Quan and Qin, Zengchang}, title = {Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {821-831} }
Learning to Identify Critical States for Reinforcement Learning from Videos: Haozhe Liu,

Mingchen Zhuge,

Bing Li,

Yuhui Wang,

Francesco Faccio,

Bernard Ghanem,

Jürgen Schmidhuber; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2023_ICCV, author = {Liu, Haozhe and Zhuge, Mingchen and Li, Bing and Wang, Yuhui and Faccio, Francesco and Ghanem, Bernard and Schmidhuber, J\"urgen}, title = {Learning to Identify Critical States for Reinforcement Learning from Videos}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {1955-1965} }
Editing Implicit Assumptions in Text-to-Image Diffusion Models: Hadas Orgad,

Bahjat Kawar,

Yonatan Belinkov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Orgad_2023_ICCV, author = {Orgad, Hadas and Kawar, Bahjat and Belinkov, Yonatan}, title = {Editing Implicit Assumptions in Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7053-7061} }
Conceptual and Hierarchical Latent Space Decomposition for Face Editing: Savas Ozkan,

Mete Ozay,

Tom Robinson; [pdf] [supp]
[bibtex]
@InProceedings{Ozkan_2023_ICCV, author = {Ozkan, Savas and Ozay, Mete and Robinson, Tom}, title = {Conceptual and Hierarchical Latent Space Decomposition for Face Editing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7248-7257} }
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching: Junyu Bi,

Daixuan Cheng,

Ping Yao,

Bochen Pang,

Yuefeng Zhan,

Chuanguang Yang,

Yujing Wang,

Hao Sun,

Weiwei Deng,

Qi Zhang; [pdf]
[bibtex]
@InProceedings{Bi_2023_ICCV, author = {Bi, Junyu and Cheng, Daixuan and Yao, Ping and Pang, Bochen and Zhan, Yuefeng and Yang, Chuanguang and Wang, Yujing and Sun, Hao and Deng, Weiwei and Zhang, Qi}, title = {VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2584-2593} }
Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach: Jiachen Lu,

Renyuan Peng,

Xinyue Cai,

Hang Xu,

Hongyang Li,

Feng Wen,

Wei Zhang,

Li Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Lu_2023_ICCV, author = {Lu, Jiachen and Peng, Renyuan and Cai, Xinyue and Xu, Hang and Li, Hongyang and Wen, Feng and Zhang, Wei and Zhang, Li}, title = {Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {23-33} }
Generative Novel View Synthesis with 3D-Aware Diffusion Models: Eric R. Chan,

Koki Nagano,

Matthew A. Chan,

Alexander W. Bergman,

Jeong Joon Park,

Axel Levy,

Miika Aittala,

Shalini De Mello,

Tero Karras,

Gordon Wetzstein; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chan_2023_ICCV, author = {Chan, Eric R. and Nagano, Koki and Chan, Matthew A. and Bergman, Alexander W. and Park, Jeong Joon and Levy, Axel and Aittala, Miika and De Mello, Shalini and Karras, Tero and Wetzstein, Gordon}, title = {Generative Novel View Synthesis with 3D-Aware Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4217-4229} }
ALWOD: Active Learning for Weakly-Supervised Object Detection: Yuting Wang,

Velibor Ilic,

Jiatong Li,

Branislav Kisačanin,

Vladimir Pavlovic; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2023_ICCV, author = {Wang, Yuting and Ilic, Velibor and Li, Jiatong and Kisa\v{c}anin, Branislav and Pavlovic, Vladimir}, title = {ALWOD: Active Learning for Weakly-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6459-6469} }
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces: Haoyu Wu,

Alexandros Graikos,

Dimitris Samaras; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2023_ICCV, author = {Wu, Haoyu and Graikos, Alexandros and Samaras, Dimitris}, title = {S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3556-3568} }
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation: Moon Ye-Bin,

Jisoo Kim,

Hongyeob Kim,

Kilho Son,

Tae-Hyun Oh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye-Bin_2023_ICCV, author = {Ye-Bin, Moon and Kim, Jisoo and Kim, Hongyeob and Son, Kilho and Oh, Tae-Hyun}, title = {TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2526-2537} }
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images: Nitzan Bitton-Guetta,

Yonatan Bitton,

Jack Hessel,

Ludwig Schmidt,

Yuval Elovici,

Gabriel Stanovsky,

Roy Schwartz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bitton-Guetta_2023_ICCV, author = {Bitton-Guetta, Nitzan and Bitton, Yonatan and Hessel, Jack and Schmidt, Ludwig and Elovici, Yuval and Stanovsky, Gabriel and Schwartz, Roy}, title = {Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {2616-2627} }
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera: Yuxiang Cai,

Yifan Zhu,

Haiwei Zhang,

Bo Ren; [pdf] [supp]
[bibtex]
@InProceedings{Cai_2023_ICCV, author = {Cai, Yuxiang and Zhu, Yifan and Zhang, Haiwei and Ren, Bo}, title = {Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3459-3468} }
DETR Does Not Need Multi-Scale or Locality Design: Yutong Lin,

Yuhui Yuan,

Zheng Zhang,

Chen Li,

Nanning Zheng,

Han Hu; [pdf] [supp]
[bibtex]
@InProceedings{Lin_2023_ICCV, author = {Lin, Yutong and Yuan, Yuhui and Zhang, Zheng and Li, Chen and Zheng, Nanning and Hu, Han}, title = {DETR Does Not Need Multi-Scale or Locality Design}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6545-6554} }
ClusT3: Information Invariant Test-Time Training: Gustavo A. Vargas Hakim,

David Osowiechi,

Mehrdad Noori,

Milad Cheraghalikhani,

Ali Bahri,

Ismail Ben Ayed,

Christian Desrosiers; [pdf] [supp]
[bibtex]
@InProceedings{Hakim_2023_ICCV, author = {Hakim, Gustavo A. Vargas and Osowiechi, David and Noori, Mehrdad and Cheraghalikhani, Milad and Bahri, Ali and Ben Ayed, Ismail and Desrosiers, Christian}, title = {ClusT3: Information Invariant Test-Time Training}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6136-6145} }
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation: Yuanbo Xiangli,

Linning Xu,

Xingang Pan,

Nanxuan Zhao,

Bo Dai,

Dahua Lin; [pdf] [arXiv]
[bibtex]
@InProceedings{Xiangli_2023_ICCV, author = {Xiangli, Yuanbo and Xu, Linning and Pan, Xingang and Zhao, Nanxuan and Dai, Bo and Lin, Dahua}, title = {AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3251-3261} }
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes: Tomer Stolik,

Itai Lang,

Shai Avidan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Stolik_2023_ICCV, author = {Stolik, Tomer and Lang, Itai and Avidan, Shai}, title = {SAGA: Spectral Adversarial Geometric Attack on 3D Meshes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {4284-4294} }
Learning Navigational Visual Representations with Semantic Map Supervision: Yicong Hong,

Yang Zhou,

Ruiyi Zhang,

Franck Dernoncourt,

Trung Bui,

Stephen Gould,

Hao Tan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2023_ICCV, author = {Hong, Yicong and Zhou, Yang and Zhang, Ruiyi and Dernoncourt, Franck and Bui, Trung and Gould, Stephen and Tan, Hao}, title = {Learning Navigational Visual Representations with Semantic Map Supervision}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3055-3067} }
Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction: Chaeyeon Chung,

Yeojeong Park,

Seunghwan Choi,

Munkhsoyol Ganbat,

Jaegul Choo; [pdf] [supp]
[bibtex]
@InProceedings{Chung_2023_ICCV, author = {Chung, Chaeyeon and Park, Yeojeong and Choi, Seunghwan and Ganbat, Munkhsoyol and Choo, Jaegul}, title = {Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7612-7622} }
SG-Former: Self-guided Transformer with Evolving Token Reallocation: Sucheng Ren,

Xingyi Yang,

Songhua Liu,

Xinchao Wang; [pdf]
[bibtex]
@InProceedings{Ren_2023_ICCV, author = {Ren, Sucheng and Yang, Xingyi and Liu, Songhua and Wang, Xinchao}, title = {SG-Former: Self-guided Transformer with Evolving Token Reallocation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {6003-6014} }
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation: Pin Tang,

Hai-Ming Xu,

Chao Ma; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2023_ICCV, author = {Tang, Pin and Xu, Hai-Ming and Ma, Chao}, title = {ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {3337-3347} }
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation: Li Niu,

Linfeng Tan,

Xinhao Tao,

Junyan Cao,

Fengjun Guo,

Teng Long,

Liqing Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Niu_2023_ICCV, author = {Niu, Li and Tan, Linfeng and Tao, Xinhao and Cao, Junyan and Guo, Fengjun and Long, Teng and Zhang, Liqing}, title = {Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2023}, pages = {7723-7732} }
VQ3D: Learning a 3D-Aware Generative Model on ImageNet: Kyle Sargent,

Jing Yu Koh,

Han Zhang,

Huiwen Chang,

Charles Herrmann,

Pratul Srinivasan,

Jiajun Wu,

Deqing Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sargent_2023_ICCV, author = {Sargent, Kyle and Koh, Jing Yu