Papers
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GFPose: Learning 3D Human Pose Prior With Gradient Fields-
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[arXiv]
[bibtex]@InProceedings{Ci_2023_CVPR, author = {Ci, Hai and Wu, Mingdong and Zhu, Wentao and Ma, Xiaoxuan and Dong, Hao and Zhong, Fangwei and Wang, Yizhou}, title = {GFPose: Learning 3D Human Pose Prior With Gradient Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4800-4810} }
CXTrack: Improving 3D Point Cloud Tracking With Contextual Information-
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[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Tian-Xing and Guo, Yuan-Chen and Lai, Yu-Kun and Zhang, Song-Hai}, title = {CXTrack: Improving 3D Point Cloud Tracking With Contextual Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1084-1093} }
Deep Frequency Filtering for Domain Generalization-
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[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Shiqi and Zhang, Zhizheng and Huang, Zhipeng and Lu, Yan and Lan, Cuiling and Chu, Peng and You, Quanzeng and Wang, Jiang and Liu, Zicheng and Parulkar, Amey and Navkal, Viraj and Chen, Zhibo}, title = {Deep Frequency Filtering for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11797-11807} }
Frame Flexible Network-
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[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yitian and Bai, Yue and Liu, Chang and Wang, Huan and Li, Sheng and Fu, Yun}, title = {Frame Flexible Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10504-10513} }
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow-
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[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Hanyu and Chang, Yi and Yan, Wending and Yan, Luxin}, title = {Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9569-9578} }
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs-
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[arXiv]
[bibtex]@InProceedings{Rangwani_2023_CVPR, author = {Rangwani, Harsh and Bansal, Lavish and Sharma, Kartik and Karmali, Tejan and Jampani, Varun and Babu, R. Venkatesh}, title = {NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5987-5996} }
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis-
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[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Yinghao and Chai, Menglei and Shi, Zifan and Peng, Sida and Skorokhodov, Ivan and Siarohin, Aliaksandr and Yang, Ceyuan and Shen, Yujun and Lee, Hsin-Ying and Zhou, Bolei and Tulyakov, Sergey}, title = {DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4402-4412} }
Revisiting Self-Similarity: Structural Embedding for Image Retrieval-
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[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Seongwon and Lee, Suhyeon and Seong, Hongje and Kim, Euntai}, title = {Revisiting Self-Similarity: Structural Embedding for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23412-23421} }
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation-
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[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Jiawei and Jiang, Yidi and Tan, Vincent Y. F. and Zhou, Joey Tianyi and Li, Haizhou}, title = {Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3749-3758} }
Decoupling-and-Aggregating for Image Exposure Correction-
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[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yang and Peng, Long and Li, Liang and Cao, Yang and Zha, Zheng-Jun}, title = {Decoupling-and-Aggregating for Image Exposure Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18115-18124} }
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving-
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[bibtex]@InProceedings{Agro_2023_CVPR, author = {Agro, Ben and Sykora, Quinlan and Casas, Sergio and Urtasun, Raquel}, title = {Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1379-1388} }
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes-
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[bibtex]@InProceedings{Bhatia_2023_CVPR, author = {Bhatia, Harshil and Tretschk, Edith and L\"ahner, Zorah and Benkner, Marcel Seelbach and Moeller, Michael and Theobalt, Christian and Golyanik, Vladislav}, title = {CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1296-1305} }
TrojViT: Trojan Insertion in Vision Transformers-
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[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Mengxin and Lou, Qian and Jiang, Lei}, title = {TrojViT: Trojan Insertion in Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4025-4034} }
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds-
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[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jiahui and Chang, Chirui and Liu, Jianhui and Wu, Xiaoyang and Ma, Lan and Qi, Xiaojuan}, title = {MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9372-9381} }
An Image Quality Assessment Dataset for Portraits-
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[arXiv]
[bibtex]@InProceedings{Chahine_2023_CVPR, author = {Chahine, Nicolas and Calarasanu, Stefania and Garcia-Civiero, Davide and Cayla, Th\'eo and Ferradans, Sira and Ponce, Jean}, title = {An Image Quality Assessment Dataset for Portraits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9968-9978} }
MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving-
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[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiale and Dai, Hang and Han, Hao and Ding, Yong}, title = {MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21694-21704} }
Robust Outlier Rejection for 3D Registration With Variational Bayes-
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[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Haobo and Dang, Zheng and Wei, Zhen and Xie, Jin and Yang, Jian and Salzmann, Mathieu}, title = {Robust Outlier Rejection for 3D Registration With Variational Bayes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1148-1157} }
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation-
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[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Wei and Zhong, Zhun and Wang, Weijie and Chen, Xi and Ling, Charles and Wang, Boyu and Sebe, Nicu}, title = {Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24090-24099} }
Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask-
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[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Shangzhan and Peng, Sida and Chen, Tianrun and Mou, Linzhan and Lin, Haotong and Yu, Kaicheng and Liao, Yiyi and Zhou, Xiaowei}, title = {Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8518-8528} }
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data-
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[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jihye and Kim, Sunwoo and Kim, Soohyun and Cho, Seokju and Yoo, Jaejun and Uh, Youngjung and Kim, Seungryong}, title = {LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23401-23411} }
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition-
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[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xiang and Zhang, Shiwei and Qing, Zhiwu and Gao, Changxin and Zhang, Yingya and Zhao, Deli and Sang, Nong}, title = {MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18011-18021} }
Fast Point Cloud Generation With Straight Flows-
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[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Lemeng and Wang, Dilin and Gong, Chengyue and Liu, Xingchao and Xiong, Yunyang and Ranjan, Rakesh and Krishnamoorthi, Raghuraman and Chandra, Vikas and Liu, Qiang}, title = {Fast Point Cloud Generation With Straight Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9445-9454} }
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation-
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[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Xiwen and Xu, Zhen and Liu, Cheng and Wu, Si and Yu, Zhiwen and Wong, Hau San}, title = {Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19285-19294} }
Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning-
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[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sanghwan and Noci, Lorenzo and Orvieto, Antonio and Hofmann, Thomas}, title = {Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11930-11939} }
Power Bundle Adjustment for Large-Scale 3D Reconstruction-
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[arXiv]
[bibtex]@InProceedings{Weber_2023_CVPR, author = {Weber, Simon and Demmel, Nikolaus and Chan, Tin Chon and Cremers, Daniel}, title = {Power Bundle Adjustment for Large-Scale 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {281-289} }
Picture That Sketch: Photorealistic Image Generation From Abstract Sketches-
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[arXiv]
[bibtex]@InProceedings{Koley_2023_CVPR, author = {Koley, Subhadeep and Bhunia, Ayan Kumar and Sain, Aneeshan and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe}, title = {Picture That Sketch: Photorealistic Image Generation From Abstract Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6850-6861} }
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank-
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[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Shirui and Wang, Keyan and Liu, Huan and Chen, Jun and Li, Yunsong}, title = {Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18145-18155} }
Video Event Restoration Based on Keyframes for Video Anomaly Detection-
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[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zhiwei and Liu, Jing and Wu, Zhaoyang and Wu, Peng and Liu, Xiaotao}, title = {Video Event Restoration Based on Keyframes for Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14592-14601} }
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization-
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[arXiv]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Junha and Lee, Jungsoo and Kweon, In So and Choi, Sungha}, title = {EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11920-11929} }
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification-
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[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiazhao and Dai, Liu and Meng, Fanpeng and Fan, Qingnan and Chen, Xuelin and Xu, Kai and Wang, He}, title = {3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6672-6682} }
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction-
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[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Yuanhui and Zheng, Wenzhao and Zhang, Yunpeng and Zhou, Jie and Lu, Jiwen}, title = {Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9223-9232} }
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference-
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[bibtex]@InProceedings{You_2023_CVPR, author = {You, Haoran and Xiong, Yunyang and Dai, Xiaoliang and Wu, Bichen and Zhang, Peizhao and Fan, Haoqi and Vajda, Peter and Lin, Yingyan (Celine)}, title = {Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14431-14442} }
Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion-
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[arXiv]
[bibtex]@InProceedings{Pavllo_2023_CVPR, author = {Pavllo, Dario and Tan, David Joseph and Rakotosaona, Marie-Julie and Tombari, Federico}, title = {Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4391-4401} }
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples-
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[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiaming and Ma, Xingjun and Yi, Qi and Sang, Jitao and Jiang, Yu-Gang and Wang, Yaowei and Xu, Changsheng}, title = {Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3984-3993} }
Rethinking Federated Learning With Domain Shift: A Prototype View-
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[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Wenke and Ye, Mang and Shi, Zekun and Li, He and Du, Bo}, title = {Rethinking Federated Learning With Domain Shift: A Prototype View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16312-16322} }
NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior-
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[bibtex]@InProceedings{Bian_2023_CVPR, author = {Bian, Wenjing and Wang, Zirui and Li, Kejie and Bian, Jia-Wang and Prisacariu, Victor Adrian}, title = {NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4160-4169} }
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation-
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[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Jian and Xue, Nan and Xia, Gui-Song and Schiele, Bernt and Dai, Dengxin}, title = {HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15413-15423} }
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization-
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[supp]
[arXiv]
[bibtex]@InProceedings{Ju_2023_CVPR, author = {Ju, Chen and Zheng, Kunhao and Liu, Jinxiang and Zhao, Peisen and Zhang, Ya and Chang, Jianlong and Tian, Qi and Wang, Yanfeng}, title = {Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14751-14762} }
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation-
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[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zhen and Yang, Lihe and Long, Sifan and Pi, Jimin and Zhou, Luping and Wang, Jingdong}, title = {Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11350-11359} }
SIEDOB: Semantic Image Editing by Disentangling Object and Background-
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[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Wuyang and Yang, Su and Zhang, Xinjian and Zhang, Weishan}, title = {SIEDOB: Semantic Image Editing by Disentangling Object and Background}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1868-1878} }
Multiclass Confidence and Localization Calibration for Object Detection-
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[bibtex]@InProceedings{Pathiraja_2023_CVPR, author = {Pathiraja, Bimsara and Gunawardhana, Malitha and Khan, Muhammad Haris}, title = {Multiclass Confidence and Localization Calibration for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19734-19743} }
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection-
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[arXiv]
[bibtex]@InProceedings{Moon_2023_CVPR, author = {Moon, WonJun and Hyun, Sangeek and Park, SangUk and Park, Dongchan and Heo, Jae-Pil}, title = {Query-Dependent Video Representation for Moment Retrieval and Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23023-23033} }
Robust 3D Shape Classification via Non-Local Graph Attention Network-
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[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Shengwei and Li, Zhong and Liu, Ligang}, title = {Robust 3D Shape Classification via Non-Local Graph Attention Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5374-5383} }
Boosting Verified Training for Robust Image Classifications via Abstraction-
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[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhaodi and Xue, Zhiyi and Chen, Yang and Liu, Si and Zhang, Yueling and Liu, Jing and Zhang, Min}, title = {Boosting Verified Training for Robust Image Classifications via Abstraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16251-16260} }
Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels-
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[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Zixuan and Wang, Ao and Chen, Hui and Zhang, Qiang and Liu, Pengzhang and Bao, Yongjun and Yan, Weipeng and Han, Jungong}, title = {Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3398-3407} }
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation-
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[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zhen and Long, Sifan and Pi, Jimin and Wang, Jingdong and Zhou, Luping}, title = {Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23705-23714} }
3D Shape Reconstruction of Semi-Transparent Worms-
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[supp]
[arXiv]
[bibtex]@InProceedings{Ilett_2023_CVPR, author = {Ilett, Thomas P. and Yuval, Omer and Ranner, Thomas and Cohen, Netta and Hogg, David C.}, title = {3D Shape Reconstruction of Semi-Transparent Worms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12565-12575} }
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision-
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[arXiv]
[bibtex]@InProceedings{Ying_2023_CVPR, author = {Ying, Xinyi and Liu, Li and Wang, Yingqian and Li, Ruojing and Chen, Nuo and Lin, Zaiping and Sheng, Weidong and Zhou, Shilin}, title = {Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15528-15538} }
Swept-Angle Synthetic Wavelength Interferometry-
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[arXiv]
[bibtex]@InProceedings{Kotwal_2023_CVPR, author = {Kotwal, Alankar and Levin, Anat and Gkioulekas, Ioannis}, title = {Swept-Angle Synthetic Wavelength Interferometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8233-8243} }
Delving Into Shape-Aware Zero-Shot Semantic Segmentation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xinyu and Tian, Beiwen and Wang, Zhen and Wang, Rui and Sheng, Kehua and Zhang, Bo and Zhao, Hao and Zhou, Guyue}, title = {Delving Into Shape-Aware Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2999-3009} }
Post-Training Quantization on Diffusion Models-
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[supp]
[arXiv]
[bibtex]@InProceedings{Shang_2023_CVPR, author = {Shang, Yuzhang and Yuan, Zhihang and Xie, Bin and Wu, Bingzhe and Yan, Yan}, title = {Post-Training Quantization on Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1972-1981} }
Adaptive Global Decay Process for Event Cameras-
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[supp]
[bibtex]@InProceedings{Nunes_2023_CVPR, author = {Nunes, Urbano Miguel and Benosman, Ryad and Ieng, Sio-Hoi}, title = {Adaptive Global Decay Process for Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9771-9780} }
Multi-Space Neural Radiance Fields-
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[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Ze-Xin and Qiu, Jiaxiong and Cheng, Ming-Ming and Ren, Bo}, title = {Multi-Space Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12407-12416} }
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels-
[pdf]
[supp]
[bibtex]@InProceedings{Bucarelli_2023_CVPR, author = {Bucarelli, Maria Sofia and Cassano, Lucas and Siciliano, Federico and Mantrach, Amin and Silvestri, Fabrizio}, title = {Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3439-3448} }
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Wenyang and Wang, Yi and Yap, Kim-Hui and Chau, Lap-Pui}, title = {Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9979-9988} }
Analyzing Physical Impacts Using Transient Surface Wave Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Tianyuan and Sheinin, Mark and Chan, Dorian and Rau, Mark and O{\textquoteright}Toole, Matthew and Narasimhan, Srinivasa G.}, title = {Analyzing Physical Impacts Using Transient Surface Wave Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4339-4348} }
X-Pruner: eXplainable Pruning for Vision Transformers-
[pdf]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Lu and Xiang, Wei}, title = {X-Pruner: eXplainable Pruning for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24355-24363} }
Hard Sample Matters a Lot in Zero-Shot Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Huantong and Wu, Xiangmiao and Lv, Fanbing and Liao, Daihai and Li, Thomas H. and Zhang, Yonggang and Han, Bo and Tan, Mingkui}, title = {Hard Sample Matters a Lot in Zero-Shot Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24417-24426} }
Meta Compositional Referring Expression Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Li and Huang, Mark He and Shang, Xindi and Yuan, Zehuan and Sun, Ying and Liu, Jun}, title = {Meta Compositional Referring Expression Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19478-19487} }
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Chan_2023_CVPR, author = {Chan, Tsai Hor and Cendra, Fernando Julio and Ma, Lan and Yin, Guosheng and Yu, Lequan}, title = {Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15661-15670} }
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images-
[pdf]
[bibtex]@InProceedings{Sui_2023_CVPR, author = {Sui, Xiangjie and Fang, Yuming and Zhu, Hanwei and Wang, Shiqi and Wang, Zhou}, title = {ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6989-6999} }
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Su_2023_CVPR, author = {Su, Weijie and Zhu, Xizhou and Tao, Chenxin and Lu, Lewei and Li, Bin and Huang, Gao and Qiao, Yu and Wang, Xiaogang and Zhou, Jie and Dai, Jifeng}, title = {Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15888-15899} }
Aligning Bag of Regions for Open-Vocabulary Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Size and Zhang, Wenwei and Jin, Sheng and Liu, Wentao and Loy, Chen Change}, title = {Aligning Bag of Regions for Open-Vocabulary Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15254-15264} }
Two-View Geometry Scoring Without Correspondences-
[pdf]
[supp]
[bibtex]@InProceedings{Barroso-Laguna_2023_CVPR, author = {Barroso-Laguna, Axel and Brachmann, Eric and Prisacariu, Victor Adrian and Brostow, Gabriel J. and Turmukhambetov, Daniyar}, title = {Two-View Geometry Scoring Without Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8979-8989} }
Annealing-Based Label-Transfer Learning for Open World Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Yuqing and Li, Hainan and Zhang, Zhange and Guo, Jinyang and Zhang, Shanghang and Gong, Ruihao and Liu, Xianglong}, title = {Annealing-Based Label-Transfer Learning for Open World Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11454-11463} }
Continual Semantic Segmentation With Automatic Memory Sample Selection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Lanyun and Chen, Tianrun and Yin, Jianxiong and See, Simon and Liu, Jun}, title = {Continual Semantic Segmentation With Automatic Memory Sample Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3082-3092} }
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Demirel_2023_CVPR, author = {Demirel, Berkan and Baran, Orhun Bu\u{g}ra and Cinbis, Ramazan Gokberk}, title = {Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7339-7349} }
A Light Weight Model for Active Speaker Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Junhua and Duan, Haihan and Feng, Kanghui and Zhao, Wanbing and Yang, Yanbing and Chen, Liangyin}, title = {A Light Weight Model for Active Speaker Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22932-22941} }
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Chao and Chen, Ziyang and Owens, Andrew}, title = {Self-Supervised Video Forensics by Audio-Visual Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10491-10503} }
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Runnan and Liu, Youquan and Kong, Lingdong and Zhu, Xinge and Ma, Yuexin and Li, Yikang and Hou, Yuenan and Qiao, Yu and Wang, Wenping}, title = {CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7020-7030} }
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Weiqing and Zhang, Yuanyang and Lv, Chenlei and Tang, Chang and Yue, Guanghui and Liao, Liang and Lin, Weisi}, title = {GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19863-19872} }
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ming and Li, Qingli and Wang, Yan}, title = {Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16292-16301} }
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jingyao and Chen, Pengguang and He, Zexin and Yu, Shaozuo and Liu, Shu and Jia, Jiaya}, title = {Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11578-11589} }
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tyagi_2023_CVPR, author = {Tyagi, Aayush Kumar and Mohapatra, Chirag and Das, Prasenjit and Makharia, Govind and Mehra, Lalita and AP, Prathosh and Mausam}, title = {DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23913-23923} }
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Xiaoyang and Wen, Xin and Liu, Xihui and Zhao, Hengshuang}, title = {Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9415-9424} }
Multi Domain Learning for Motion Magnification-
[pdf]
[supp]
[bibtex]@InProceedings{Singh_2023_CVPR, author = {Singh, Jasdeep and Murala, Subrahmanyam and Kosuru, G. Sankara Raju}, title = {Multi Domain Learning for Motion Magnification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13914-13923} }
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Shiyi and Dai, Wenxun and Wang, Sujia and Shen, Xiangwei and Lu, Jiwen and Zhou, Jie and Tang, Yansong}, title = {LOGO: A Long-Form Video Dataset for Group Action Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2405-2414} }
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Dasong and Shi, Xiaoyu and Zhang, Yi and Cheung, Ka Chun and See, Simon and Wang, Xiaogang and Qin, Hongwei and Li, Hongsheng}, title = {A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9822-9832} }
UniSim: A Neural Closed-Loop Sensor Simulator-
[pdf]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ze and Chen, Yun and Wang, Jingkang and Manivasagam, Sivabalan and Ma, Wei-Chiu and Yang, Anqi Joyce and Urtasun, Raquel}, title = {UniSim: A Neural Closed-Loop Sensor Simulator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1389-1399} }
itKD: Interchange Transfer-Based Knowledge Distillation for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Hyeon and Choi, Junyong and Baek, Geonwoo and Hwang, Wonjun}, title = {itKD: Interchange Transfer-Based Knowledge Distillation for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13540-13549} }
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lentsch_2023_CVPR, author = {Lentsch, Ted and Xia, Zimin and Caesar, Holger and Kooij, Julian F. P.}, title = {SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17225-17234} }
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kennerley_2023_CVPR, author = {Kennerley, Mikhail and Wang, Jian-Gang and Veeravalli, Bharadwaj and Tan, Robby T.}, title = {2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11484-11493} }
Prefix Conditioning Unifies Language and Label Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saito_2023_CVPR, author = {Saito, Kuniaki and Sohn, Kihyuk and Zhang, Xiang and Li, Chun-Liang and Lee, Chen-Yu and Saenko, Kate and Pfister, Tomas}, title = {Prefix Conditioning Unifies Language and Label Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2861-2870} }
Panoptic Lifting for 3D Scene Understanding With Neural Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Siddiqui_2023_CVPR, author = {Siddiqui, Yawar and Porzi, Lorenzo and Bul\`o, Samuel Rota and M\"uller, Norman and Nie{\ss}ner, Matthias and Dai, Angela and Kontschieder, Peter}, title = {Panoptic Lifting for 3D Scene Understanding With Neural Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9043-9052} }
WeatherStream: Light Transport Automation of Single Image Deweathering-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Howard and Ba, Yunhao and Yang, Ethan and Mehra, Varan and Gella, Blake and Suzuki, Akira and Pfahnl, Arnold and Chandrappa, Chethan Chinder and Wong, Alex and Kadambi, Achuta}, title = {WeatherStream: Light Transport Automation of Single Image Deweathering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13499-13509} }
Learning To Detect Mirrors From Videos via Dual Correspondences-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Jiaying and Tan, Xin and Lau, Rynson W.H.}, title = {Learning To Detect Mirrors From Videos via Dual Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9109-9118} }
Single View Scene Scale Estimation Using Scale Field-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Byeong-Uk and Zhang, Jianming and Hold-Geoffroy, Yannick and Kweon, In So}, title = {Single View Scene Scale Estimation Using Scale Field}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21435-21444} }
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Xiaokun and Feng, Qiao and Li, Xiongzheng and Zhang, Jinsong and Lai, Yu-Kun and Yang, Jingyu and Li, Kun}, title = {Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16985-16994} }
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jingyi and Le, Hieu and Samaras, Dimitris}, title = {Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19713-19722} }
Towards Scalable Neural Representation for Diverse Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Bo and Yang, Xitong and Wang, Hanyu and Wu, Zuxuan and Chen, Hao and Huang, Shuaiyi and Ren, Yixuan and Lim, Ser-Nam and Shrivastava, Abhinav}, title = {Towards Scalable Neural Representation for Diverse Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6132-6142} }
The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Beomyoung and Jeong, Joonhyun and Han, Dongyoon and Hwang, Sung Ju}, title = {The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11360-11370} }
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hsiung_2023_CVPR, author = {Hsiung, Lei and Tsai, Yun-Yun and Chen, Pin-Yu and Ho, Tsung-Yi}, title = {Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24658-24667} }
Language-Guided Audio-Visual Source Separation via Trimodal Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Reuben and Ray, Arijit and Burns, Andrea and Plummer, Bryan A. and Salamon, Justin and Nieto, Oriol and Russell, Bryan and Saenko, Kate}, title = {Language-Guided Audio-Visual Source Separation via Trimodal Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10575-10584} }
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment-
[pdf]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Jiangbin and Wang, Yile and Tan, Cheng and Li, Siyuan and Wang, Ge and Xia, Jun and Chen, Yidong and Li, Stan Z.}, title = {CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23141-23150} }
DynaMask: Dynamic Mask Selection for Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ruihuang and He, Chenhang and Li, Shuai and Zhang, Yabin and Zhang, Lei}, title = {DynaMask: Dynamic Mask Selection for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11279-11288} }
Paint by Example: Exemplar-Based Image Editing With Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Binxin and Gu, Shuyang and Zhang, Bo and Zhang, Ting and Chen, Xuejin and Sun, Xiaoyan and Chen, Dong and Wen, Fang}, title = {Paint by Example: Exemplar-Based Image Editing With Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18381-18391} }
Ego-Body Pose Estimation via Ego-Head Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiaman and Liu, Karen and Wu, Jiajun}, title = {Ego-Body Pose Estimation via Ego-Head Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17142-17151} }
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yang and Zhang, Yao and Wang, Yixin and Zhang, Yang and Tian, Jiang and Shi, Zhongchao and Fan, Jianping and He, Zhiqiang}, title = {SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15539-15547} }
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Honghui and He, Tong and Liu, Jiaheng and Chen, Hua and Wu, Boxi and Lin, Binbin and He, Xiaofei and Ouyang, Wanli}, title = {GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9403-9414} }
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution-
[pdf]
[supp]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Chenfan and Liu, Chongyu and Liu, Yuliang and Chen, Xinhong and Peng, Dezhi and Guo, Fengjun and Jin, Lianwen}, title = {Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5937-5946} }
Learning Rotation-Equivariant Features for Visual Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Jongmin and Kim, Byungjin and Kim, Seungwook and Cho, Minsu}, title = {Learning Rotation-Equivariant Features for Visual Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21887-21897} }
DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2023_CVPR, author = {Bao, Chen and Xu, Helin and Qin, Yuzhe and Wang, Xiaolong}, title = {DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21190-21200} }
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xuan and Li, Shiyu and Li, Xi and Huang, Ping and Shan, Jiulong and Chen, Ting}, title = {DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3914-3923} }
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models-
[pdf]
[supp]
[bibtex]@InProceedings{Ahuja_2023_CVPR, author = {Ahuja, Nilesh and Datta, Parual and Kanzariya, Bhavya and Somayazulu, V. Srinivasa and Tickoo, Omesh}, title = {Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2022-2030} }
Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?-
[pdf]
[bibtex]@InProceedings{Petrov_2023_CVPR, author = {Petrov, Ilya A. and Marin, Riccardo and Chibane, Julian and Pons-Moll, Gerard}, title = {Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4726-4736} }
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Siteng and Gong, Biao and Pan, Yulin and Jiang, Jianwen and Lv, Yiliang and Li, Yuyuan and Wang, Donglin}, title = {VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6565-6574} }
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sain_2023_CVPR, author = {Sain, Aneeshan and Bhunia, Ayan Kumar and Koley, Subhadeep and Chowdhury, Pinaki Nath and Chattopadhyay, Soumitri and Xiang, Tao and Song, Yi-Zhe}, title = {Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6873-6883} }
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement-
[pdf]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Huiyuan and Zheng, Wenkai and Meng, Xiangyu and Wang, Xin and Wang, Chuanming and Ma, Huadong}, title = {You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18125-18134} }
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Nauta_2023_CVPR, author = {Nauta, Meike and Schl\"otterer, J\"org and van Keulen, Maurice and Seifert, Christin}, title = {PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2744-2753} }
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Uy_2023_CVPR, author = {Uy, Mikaela Angelina and Martin-Brualla, Ricardo and Guibas, Leonidas and Li, Ke}, title = {SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16518-16527} }
Re-Thinking Model Inversion Attacks Against Deep Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nguyen_2023_CVPR, author = {Nguyen, Ngoc-Bao and Chandrasegaran, Keshigeyan and Abdollahzadeh, Milad and Cheung, Ngai-Man}, title = {Re-Thinking Model Inversion Attacks Against Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16384-16393} }
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions-
[pdf]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Dongshuo and Yang, Yiran and Wang, Zhechao and Yu, Hongfeng and Wei, Kaiwen and Sun, Xian}, title = {1\% VS 100\%: Parameter-Efficient Low Rank Adapter for Dense Predictions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20116-20126} }
ResFormer: Scaling ViTs With Multi-Resolution Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Rui and Wu, Zuxuan and Dai, Qi and Hu, Han and Qiao, Yu and Jiang, Yu-Gang}, title = {ResFormer: Scaling ViTs With Multi-Resolution Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22721-22731} }
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Shengkun and Wang, Yaqing and Kong, Zhenglun and Zhang, Tianchi and Li, Yao and Ding, Caiwen and Wang, Yanzhi and Liang, Yi and Xu, Dongkuan}, title = {You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10781-10791} }
CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Hongwen and Lin, Siyou and Shao, Ruizhi and Zhang, Yuxiang and Zheng, Zerong and Huang, Han and Guo, Yandong and Liu, Yebin}, title = {CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {501-511} }
BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chu_2023_CVPR, author = {Chu, Tao and Zhang, Pan and Liu, Qiong and Wang, Jiaqi}, title = {BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4937-4946} }
Hierarchical Video-Moment Retrieval and Step-Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zala_2023_CVPR, author = {Zala, Abhay and Cho, Jaemin and Kottur, Satwik and Chen, Xilun and Oguz, Barlas and Mehdad, Yashar and Bansal, Mohit}, title = {Hierarchical Video-Moment Retrieval and Step-Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23056-23065} }
PROB: Probabilistic Objectness for Open World Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zohar_2023_CVPR, author = {Zohar, Orr and Wang, Kuan-Chieh and Yeung, Serena}, title = {PROB: Probabilistic Objectness for Open World Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11444-11453} }
PD-Quant: Post-Training Quantization Based on Prediction Difference Metric-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jiawei and Niu, Lin and Yuan, Zhihang and Yang, Dawei and Wang, Xinggang and Liu, Wenyu}, title = {PD-Quant: Post-Training Quantization Based on Prediction Difference Metric}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24427-24437} }
AUNet: Learning Relations Between Action Units for Face Forgery Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Weiming and Liu, Yufan and Zhang, Zhipeng and Li, Bing and Hu, Weiming}, title = {AUNet: Learning Relations Between Action Units for Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24709-24719} }
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Zhizhuo and Tulsiani, Shubham}, title = {SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12588-12597} }
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jiang and Ding, Hui and Cai, Zhaowei and Zhang, Yuting and Satzoda, Ravi Kumar and Mahadevan, Vijay and Manmatha, R.}, title = {PolyFormer: Referring Image Segmentation As Sequential Polygon Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18653-18663} }
Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Yatai and Tu, Rongcheng and Jiang, Jie and Kong, Weijie and Cai, Chengfei and Zhao, Wenzhe and Wang, Hongfa and Yang, Yujiu and Liu, Wei}, title = {Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6789-6798} }
Interactive Segmentation As Gaussion Process Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Minghao and Wang, Hong and Zhao, Qian and Li, Yuexiang and Huang, Yawen and Meng, Deyu and Zheng, Yefeng}, title = {Interactive Segmentation As Gaussion Process Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19488-19497} }
Differentiable Shadow Mapping for Efficient Inverse Graphics-
[pdf]
[supp]
[bibtex]@InProceedings{Worchel_2023_CVPR, author = {Worchel, Markus and Alexa, Marc}, title = {Differentiable Shadow Mapping for Efficient Inverse Graphics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {142-153} }
Dynamic Focus-Aware Positional Queries for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Haoyu and Cai, Jianfei and Pan, Zizheng and Liu, Jing and Zhang, Jing and Tao, Dacheng and Zhuang, Bohan}, title = {Dynamic Focus-Aware Positional Queries for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11299-11308} }
A Practical Stereo Depth System for Smart Glasses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jialiang and Scharstein, Daniel and Bapat, Akash and Blackburn-Matzen, Kevin and Yu, Matthew and Lehman, Jonathan and Alsisan, Suhib and Wang, Yanghan and Tsai, Sam and Frahm, Jan-Michael and He, Zijian and Vajda, Peter and Cohen, Michael F. and Uyttendaele, Matt}, title = {A Practical Stereo Depth System for Smart Glasses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21498-21507} }
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Qian and Chen, Changyou and Zhao, Han and Chen, Liqun and Ping, Qing and Tran, Son Dinh and Xu, Yi and Zeng, Belinda and Chilimbi, Trishul}, title = {Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7661-7671} }
PointConvFormer: Revenge of the Point-Based Convolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Wenxuan and Fuxin, Li and Shan, Qi}, title = {PointConvFormer: Revenge of the Point-Based Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21802-21813} }
Instant Volumetric Head Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zielonka_2023_CVPR, author = {Zielonka, Wojciech and Bolkart, Timo and Thies, Justus}, title = {Instant Volumetric Head Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4574-4584} }
HARP: Personalized Hand Reconstruction From a Monocular RGB Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Karunratanakul_2023_CVPR, author = {Karunratanakul, Korrawe and Prokudin, Sergey and Hilliges, Otmar and Tang, Siyu}, title = {HARP: Personalized Hand Reconstruction From a Monocular RGB Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12802-12813} }
Variational Distribution Learning for Unsupervised Text-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Minsoo and Lee, Doyup and Kim, Jiseob and Kim, Saehoon and Han, Bohyung}, title = {Variational Distribution Learning for Unsupervised Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23380-23389} }
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhenyi and Shen, Li and Zhan, Donglin and Suo, Qiuling and Zhu, Yanjun and Duan, Tiehang and Gao, Mingchen}, title = {MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24521-24531} }
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Deyi and Zhao, Feng and Lu, Hongtao and Tao, Mingyuan and Ye, Jieping}, title = {Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23621-23630} }
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Samyak and Addepalli, Sravanti and Sahu, Pawan Kumar and Dey, Priyam and Babu, R. Venkatesh}, title = {DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16048-16059} }
Cross-Domain Image Captioning With Discriminative Finetuning-
[pdf]
[supp]
[bibtex]@InProceedings{Dessi_2023_CVPR, author = {Dess{\`\i}, Roberto and Bevilacqua, Michele and Gualdoni, Eleonora and Rakotonirina, Nathana\"el Carraz and Franzon, Francesca and Baroni, Marco}, title = {Cross-Domain Image Captioning With Discriminative Finetuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6935-6944} }
Accelerating Vision-Language Pretraining With Free Language Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Teng and Ge, Yixiao and Zheng, Feng and Cheng, Ran and Shan, Ying and Qie, Xiaohu and Luo, Ping}, title = {Accelerating Vision-Language Pretraining With Free Language Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23161-23170} }
Efficient Mask Correction for Click-Based Interactive Image Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Fei and Yuan, Jianlong and Wang, Zhibin and Wang, Fan}, title = {Efficient Mask Correction for Click-Based Interactive Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22773-22782} }
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yu and Lee, Gim Hee}, title = {DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24-34} }
EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction-
[pdf]
[supp]
[bibtex]@InProceedings{Erbach_2023_CVPR, author = {Erbach, Julius and Tulyakov, Stepan and Vitoria, Patricia and Bochicchio, Alfredo and Li, Yuanyou}, title = {EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13904-13913} }
Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Chang and Zhu, Xiangyu and Zhang, Xiaomei and Zhang, Zhaoxiang and Lei, Zhen}, title = {Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20981-20990} }
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yue_2023_CVPR, author = {Yue, Yuanwen and Kontogianni, Theodora and Schindler, Konrad and Engelmann, Francis}, title = {Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {845-854} }
Analyzing and Diagnosing Pose Estimation With Attributions-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Qiyuan and Yang, Linlin and Gu, Kerui and Lin, Qiuxia and Yao, Angela}, title = {Analyzing and Diagnosing Pose Estimation With Attributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4821-4830} }
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Chang and Zhang, Weiming and Lin, Xiangru and Zhang, Wei and Tan, Xiao and Han, Junyu and Li, Xiaomao and Ding, Errui and Wang, Jingdong}, title = {Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15579-15588} }
Scalable, Detailed and Mask-Free Universal Photometric Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ikehata_2023_CVPR, author = {Ikehata, Satoshi}, title = {Scalable, Detailed and Mask-Free Universal Photometric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13198-13207} }
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Gen and Ji, Jie and Qin, Minghai and Niu, Wei and Ren, Bin and Afghah, Fatemeh and Guo, Linke and Ma, Xiaolong}, title = {Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10259-10269} }
Make-a-Story: Visual Memory Conditioned Consistent Story Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Rahman_2023_CVPR, author = {Rahman, Tanzila and Lee, Hsin-Ying and Ren, Jian and Tulyakov, Sergey and Mahajan, Shweta and Sigal, Leonid}, title = {Make-a-Story: Visual Memory Conditioned Consistent Story Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2493-2502} }
BiFormer: Vision Transformer With Bi-Level Routing Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Lei and Wang, Xinjiang and Ke, Zhanghan and Zhang, Wayne and Lau, Rynson W.H.}, title = {BiFormer: Vision Transformer With Bi-Level Routing Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10323-10333} }
Masked Autoencoders Enable Efficient Knowledge Distillers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Yutong and Wang, Zeyu and Xiao, Junfei and Wei, Chen and Wang, Huiyu and Yuille, Alan L. and Zhou, Yuyin and Xie, Cihang}, title = {Masked Autoencoders Enable Efficient Knowledge Distillers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24256-24265} }
TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Sucheng and Wei, Fangyun and Zhang, Zheng and Hu, Han}, title = {TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3687-3697} }
Persistent Nature: A Generative Model of Unbounded 3D Worlds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chai_2023_CVPR, author = {Chai, Lucy and Tucker, Richard and Li, Zhengqi and Isola, Phillip and Snavely, Noah}, title = {Persistent Nature: A Generative Model of Unbounded 3D Worlds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20863-20874} }
OneFormer: One Transformer To Rule Universal Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Jitesh and Li, Jiachen and Chiu, Mang Tik and Hassani, Ali and Orlov, Nikita and Shi, Humphrey}, title = {OneFormer: One Transformer To Rule Universal Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2989-2998} }
Hierarchical Neural Memory Network for Low Latency Event Processing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hamaguchi_2023_CVPR, author = {Hamaguchi, Ryuhei and Furukawa, Yasutaka and Onishi, Masaki and Sakurada, Ken}, title = {Hierarchical Neural Memory Network for Low Latency Event Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22867-22876} }
Finding Geometric Models by Clustering in the Consensus Space-
[pdf]
[supp]
[bibtex]@InProceedings{Barath_2023_CVPR, author = {Barath, Daniel and Rozumnyi, Denys and Eichhardt, Ivan and Hajder, Levente and Matas, Jiri}, title = {Finding Geometric Models by Clustering in the Consensus Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5414-5424} }
Leapfrog Diffusion Model for Stochastic Trajectory Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mao_2023_CVPR, author = {Mao, Weibo and Xu, Chenxin and Zhu, Qi and Chen, Siheng and Wang, Yanfeng}, title = {Leapfrog Diffusion Model for Stochastic Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5517-5526} }
DaFKD: Domain-Aware Federated Knowledge Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haozhao and Li, Yichen and Xu, Wenchao and Li, Ruixuan and Zhan, Yufeng and Zeng, Zhigang}, title = {DaFKD: Domain-Aware Federated Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20412-20421} }
GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Chuwei and Cheng, Changxu and Zheng, Qi and Yao, Cong}, title = {GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7092-7101} }
Class-Incremental Exemplar Compression for Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Zilin and Liu, Yaoyao and Schiele, Bernt and Sun, Qianru}, title = {Class-Incremental Exemplar Compression for Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11371-11380} }
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Chong and Chen, Tao and Gan, Zhongxue and Fan, Jiayuan}, title = {Boost Vision Transformer With GPU-Friendly Sparsity and Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22658-22668} }
Spectral Bayesian Uncertainty for Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Tao and Cheng, Jun and Tan, Shan}, title = {Spectral Bayesian Uncertainty for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18166-18175} }
Behind the Scenes: Density Fields for Single View Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wimbauer_2023_CVPR, author = {Wimbauer, Felix and Yang, Nan and Rupprecht, Christian and Cremers, Daniel}, title = {Behind the Scenes: Density Fields for Single View Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9076-9086} }
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khwanmuang_2023_CVPR, author = {Khwanmuang, Sasikarn and Phongthawee, Pakkapon and Sangkloy, Patsorn and Suwajanakorn, Supasorn}, title = {StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8609-8618} }
Resource-Efficient RGBD Aerial Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Jinyu and Gao, Shang and Li, Zhe and Zheng, Feng and Leonardis, Ale\v{s}}, title = {Resource-Efficient RGBD Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13374-13383} }
Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Runyang and Gao, Yixing and Ma, Xueqing and Tse, Tze Ho Elden and Chang, Hyung Jin}, title = {Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17131-17141} }
Bilateral Memory Consolidation for Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Nie_2023_CVPR, author = {Nie, Xing and Xu, Shixiong and Liu, Xiyan and Meng, Gaofeng and Huo, Chunlei and Xiang, Shiming}, title = {Bilateral Memory Consolidation for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16026-16035} }
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xubo and Lakomkin, Egor and Vougioukas, Konstantinos and Ma, Pingchuan and Chen, Honglie and Xie, Ruiming and Doulaty, Morrie and Moritz, Niko and Kolar, Jachym and Petridis, Stavros and Pantic, Maja and Fuegen, Christian}, title = {SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18806-18815} }
BiasBed - Rigorous Texture Bias Evaluation-
[pdf]
[supp]
[bibtex]@InProceedings{Kalischek_2023_CVPR, author = {Kalischek, Nikolai and Daudt, Rodrigo Caye and Peters, Torben and Furrer, Reinhard and Wegner, Jan D. and Schindler, Konrad}, title = {BiasBed - Rigorous Texture Bias Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22221-22230} }
Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Sipeng and Xu, Boshen and Jin, Qin}, title = {Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19392-19402} }
SFD2: Semantic-Guided Feature Detection and Description-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Fei and Budvytis, Ignas and Cipolla, Roberto}, title = {SFD2: Semantic-Guided Feature Detection and Description}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5206-5216} }
Search-Map-Search: A Frame Selection Paradigm for Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Mingjun and Yu, Yakun and Wang, Xiaoli and Yang, Lei and Niu, Di}, title = {Search-Map-Search: A Frame Selection Paradigm for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10627-10636} }
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Yi and Bazarjani, Armin and Chi, Hyung-gun and Choi, Chiho and Fu, Yun}, title = {Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9632-9643} }
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sain_2023_CVPR, author = {Sain, Aneeshan and Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Koley, Subhadeep and Xiang, Tao and Song, Yi-Zhe}, title = {CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2765-2775} }
FlexiViT: One Model for All Patch Sizes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Beyer_2023_CVPR, author = {Beyer, Lucas and Izmailov, Pavel and Kolesnikov, Alexander and Caron, Mathilde and Kornblith, Simon and Zhai, Xiaohua and Minderer, Matthias and Tschannen, Michael and Alabdulmohsin, Ibrahim and Pavetic, Filip}, title = {FlexiViT: One Model for All Patch Sizes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14496-14506} }
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Changjiang and Ji, Pan and Yan, Qingan and Xu, Yi}, title = {RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {919-928} }
Structured Kernel Estimation for Photon-Limited Deconvolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sanghvi_2023_CVPR, author = {Sanghvi, Yash and Mao, Zhiyuan and Chan, Stanley H.}, title = {Structured Kernel Estimation for Photon-Limited Deconvolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9863-9872} }
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Xincheng and Li, Ruoqi and Zhang, Jing and Sun, Jun and Zhang, Chongyang}, title = {Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24490-24499} }
3D Video Loops From Asynchronous Input-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Li and Li, Xiaoyu and Liao, Jing and Sander, Pedro V.}, title = {3D Video Loops From Asynchronous Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {310-320} }
Style Projected Clustering for Domain Generalized Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Wei and Chen, Chang and Li, Yong and Li, Jiacheng and Li, Cheng and Song, Fenglong and Yan, Youliang and Xiong, Zhiwei}, title = {Style Projected Clustering for Domain Generalized Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3061-3071} }
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection-
[pdf]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Changsong and Jia, Guoli and Yang, Jufeng}, title = {DIP: Dual Incongruity Perceiving Network for Sarcasm Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2540-2550} }
Frame Interpolation Transformer and Uncertainty Guidance-
[pdf]
[supp]
[bibtex]@InProceedings{Plack_2023_CVPR, author = {Plack, Markus and Briedis, Karlis Martins and Djelouah, Abdelaziz and Hullin, Matthias B. and Gross, Markus and Schroers, Christopher}, title = {Frame Interpolation Transformer and Uncertainty Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9811-9821} }
Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yong and Pan, Yingwei and Yao, Ting and Huang, Rui and Mei, Tao and Chen, Chang-Wen}, title = {Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2915-2924} }
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Bingchen and Jiang, Haiyong and Pan, Hao and Xiao, Jun}, title = {VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1358-1367} }
Neural Preset for Color Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ke_2023_CVPR, author = {Ke, Zhanghan and Liu, Yuhao and Zhu, Lei and Zhao, Nanxuan and Lau, Rynson W.H.}, title = {Neural Preset for Color Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14173-14182} }
DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Lijin and Kong, Quan and Yang, Hsuan-Kung and Kehl, Wadim and Sato, Yoichi and Kobori, Norimasa}, title = {DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23130-23140} }
Dynamic Aggregated Network for Gait Recognition-
[pdf]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Kang and Fu, Ying and Zheng, Dezhi and Cao, Chunshui and Hu, Xuecai and Huang, Yongzhen}, title = {Dynamic Aggregated Network for Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22076-22085} }
Wavelet Diffusion Models Are Fast and Scalable Image Generators-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Phung_2023_CVPR, author = {Phung, Hao and Dao, Quan and Tran, Anh}, title = {Wavelet Diffusion Models Are Fast and Scalable Image Generators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10199-10208} }
PA&DA: Jointly Sampling Path and Data for Consistent NAS-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Shun and Hu, Yu and Yang, Longxing and Sun, Zihao and Mei, Jilin and Tan, Jianchao and Song, Chengru}, title = {PA\&DA: Jointly Sampling Path and Data for Consistent NAS}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11940-11949} }
Sphere-Guided Training of Neural Implicit Surfaces-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dogaru_2023_CVPR, author = {Dogaru, Andreea and Ardelean, Andrei-Timotei and Ignatyev, Savva and Zakharov, Egor and Burnaev, Evgeny}, title = {Sphere-Guided Training of Neural Implicit Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20844-20853} }
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Mingtao and Hou, Haoran and Zhang, Liang and Wu, Zijie and Guo, Yulan and Mian, Ajmal}, title = {3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9182-9191} }
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Guozhen and Zhu, Yuhan and Wang, Haonan and Chen, Youxin and Wu, Gangshan and Wang, Limin}, title = {Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5682-5692} }
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qraitem_2023_CVPR, author = {Qraitem, Maan and Saenko, Kate and Plummer, Bryan A.}, title = {Bias Mimicking: A Simple Sampling Approach for Bias Mitigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20311-20320} }
ViTs for SITS: Vision Transformers for Satellite Image Time Series-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tarasiou_2023_CVPR, author = {Tarasiou, Michail and Chavez, Erik and Zafeiriou, Stefanos}, title = {ViTs for SITS: Vision Transformers for Satellite Image Time Series}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10418-10428} }
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yijiang and Yang, Huanrui and Dong, Zhen and Keutzer, Kurt and Du, Li and Zhang, Shanghang}, title = {NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20321-20330} }
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Wenhao and Wong, Hau San and Wu, Si}, title = {Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17471-17481} }
Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Anqi and Chu, Tong and Liu, Yahao and Li, Wen and Li, Jingjing and Duan, Lixin}, title = {Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8153-8162} }
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Yunrui and Xu, Cheng-Zhong}, title = {Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4056-4066} }
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Peng and Zhao, Lingzhe and Ma, Ruijie and Liu, Peidong}, title = {BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4170-4179} }
Video Compression With Entropy-Constrained Neural Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Gomes_2023_CVPR, author = {Gomes, Carlos and Azevedo, Roberto and Schroers, Christopher}, title = {Video Compression With Entropy-Constrained Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18497-18506} }
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Renrui and Hu, Xiangfei and Li, Bohao and Huang, Siyuan and Deng, Hanqiu and Qiao, Yu and Gao, Peng and Li, Hongsheng}, title = {Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15211-15222} }
Deep Random Projector: Accelerated Deep Image Prior-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Taihui and Wang, Hengkang and Zhuang, Zhong and Sun, Ju}, title = {Deep Random Projector: Accelerated Deep Image Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18176-18185} }
SCPNet: Semantic Scene Completion on Point Cloud-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2023_CVPR, author = {Xia, Zhaoyang and Liu, Youquan and Li, Xin and Zhu, Xinge and Ma, Yuexin and Li, Yikang and Hou, Yuenan and Qiao, Yu}, title = {SCPNet: Semantic Scene Completion on Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17642-17651} }
Revisiting Prototypical Network for Cross Domain Few-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Fei and Wang, Peng and Zhang, Lei and Wei, Wei and Zhang, Yanning}, title = {Revisiting Prototypical Network for Cross Domain Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20061-20070} }
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Sicheng and Wu, Zhiyong and Li, Minglei and Zhang, Zhensong and Hao, Lei and Bao, Weihong and Zhuang, Haolin}, title = {QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2321-2330} }
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Kang and Xiang, Wei}, title = {Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4232-4241} }
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hsu_2023_CVPR, author = {Hsu, Joy and Mao, Jiayuan and Wu, Jiajun}, title = {NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2614-2623} }
Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Tianyu and Li, Haoang and He, Kejing and Sui, Congying and Li, Bin and Liu, Yun-Hui}, title = {Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17287-17296} }
VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Limin and Huang, Bingkun and Zhao, Zhiyu and Tong, Zhan and He, Yinan and Wang, Yi and Wang, Yali and Qiao, Yu}, title = {VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14549-14560} }
GANmouflage: 3D Object Nondetection With Texture Fields-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Rui and Collins, Jasmine and de Lima, Oscar and Owens, Andrew}, title = {GANmouflage: 3D Object Nondetection With Texture Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4702-4712} }
Perception and Semantic Aware Regularization for Sequential Confidence Calibration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Zhenghua and Luo, Yu and Chen, Tianshui and Xu, Keke and Huang, Shuangping}, title = {Perception and Semantic Aware Regularization for Sequential Confidence Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10658-10668} }
Revisiting Residual Networks for Adversarial Robustness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Shihua and Lu, Zhichao and Deb, Kalyanmoy and Boddeti, Vishnu Naresh}, title = {Revisiting Residual Networks for Adversarial Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8202-8211} }
RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Chen-Wei and Sun, Siyang and Xiong, Xiong and Zheng, Yun and Zhao, Deli and Zhou, Jingren}, title = {RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19265-19274} }
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hsu_2023_CVPR, author = {Hsu, Hsiao Yuan and He, Xiangteng and Peng, Yuxin and Kong, Hao and Zhang, Qing}, title = {PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6018-6026} }
A Practical Upper Bound for the Worst-Case Attribution Deviations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Fan and Kong, Adams Wai-Kin}, title = {A Practical Upper Bound for the Worst-Case Attribution Deviations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24616-24625} }
A General Regret Bound of Preconditioned Gradient Method for DNN Training-
[pdf]
[supp]
[bibtex]@InProceedings{Yong_2023_CVPR, author = {Yong, Hongwei and Sun, Ying and Zhang, Lei}, title = {A General Regret Bound of Preconditioned Gradient Method for DNN Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7866-7875} }
Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models-
[pdf]
[supp]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Yushi and Ye, Chang and He, Junfeng and Elsayed, Gamaleldin F.}, title = {Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23282-23291} }
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Mengyao and Han, Zongbo and Zhang, Changqing and Bai, Yichen and Hu, Qinghua}, title = {Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19873-19882} }
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Antoine and Nagrani, Arsha and Seo, Paul Hongsuck and Miech, Antoine and Pont-Tuset, Jordi and Laptev, Ivan and Sivic, Josef and Schmid, Cordelia}, title = {Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10714-10726} }
Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection-
[pdf]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Xiaolin and Chen, Binghui and Li, Pengyu and He, Jun-Yan and Wang, Biao and Geng, Yifeng and Xie, Xuansong and Zhang, Honggang}, title = {Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3250-3260} }
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering-
[pdf]
[supp]
[bibtex]@InProceedings{Zang_2023_CVPR, author = {Zang, Chuanqi and Wang, Hanqing and Pei, Mingtao and Liang, Wei}, title = {Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19027-19036} }
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Sungheon and Son, Minjung and Jang, Seokhwan and Ahn, Young Chun and Kim, Ji-Yeon and Kang, Nahyup}, title = {Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4212-4221} }
Graph Transformer GANs for Graph-Constrained House Generation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Hao and Zhang, Zhenyu and Shi, Humphrey and Li, Bo and Shao, Ling and Sebe, Nicu and Timofte, Radu and Van Gool, Luc}, title = {Graph Transformer GANs for Graph-Constrained House Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2173-2182} }
On the Benefits of 3D Pose and Tracking for Human Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rajasegaran_2023_CVPR, author = {Rajasegaran, Jathushan and Pavlakos, Georgios and Kanazawa, Angjoo and Feichtenhofer, Christoph and Malik, Jitendra}, title = {On the Benefits of 3D Pose and Tracking for Human Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {640-649} }
How to Backdoor Diffusion Models?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chou_2023_CVPR, author = {Chou, Sheng-Yen and Chen, Pin-Yu and Ho, Tsung-Yi}, title = {How to Backdoor Diffusion Models?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4015-4024} }
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Zhida and Zhang, Zhenyu and Yu, Xintong and Fang, Yewei and Li, Lanxin and Chen, Xuyi and Lu, Yuxiang and Liu, Jiaxiang and Yin, Weichong and Feng, Shikun and Sun, Yu and Chen, Li and Tian, Hao and Wu, Hua and Wang, Haifeng}, title = {ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10135-10145} }
PACO: Parts and Attributes of Common Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramanathan_2023_CVPR, author = {Ramanathan, Vignesh and Kalia, Anmol and Petrovic, Vladan and Wen, Yi and Zheng, Baixue and Guo, Baishan and Wang, Rui and Marquez, Aaron and Kovvuri, Rama and Kadian, Abhishek and Mousavi, Amir and Song, Yiwen and Dubey, Abhimanyu and Mahajan, Dhruv}, title = {PACO: Parts and Attributes of Common Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7141-7151} }
Learning Transformations To Reduce the Geometric Shift in Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vidit_2023_CVPR, author = {Vidit, Vidit and Engilberge, Martin and Salzmann, Mathieu}, title = {Learning Transformations To Reduce the Geometric Shift in Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17441-17450} }
OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sawdayee_2023_CVPR, author = {Sawdayee, Haim and Vaxman, Amir and Bermano, Amit H.}, title = {OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20854-20862} }
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Mirzaei_2023_CVPR, author = {Mirzaei, Ashkan and Aumentado-Armstrong, Tristan and Derpanis, Konstantinos G. and Kelly, Jonathan and Brubaker, Marcus A. and Gilitschenski, Igor and Levinshtein, Alex}, title = {SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20669-20679} }
Revisiting the Stack-Based Inverse Tone Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Ning and Ye, Yuyao and Zhao, Yang and Wang, Ronggang}, title = {Revisiting the Stack-Based Inverse Tone Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9162-9171} }
Revisiting Rotation Averaging: Uncertainties and Robust Losses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Ganlin and Larsson, Viktor and Barath, Daniel}, title = {Revisiting Rotation Averaging: Uncertainties and Robust Losses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17215-17224} }
Continuous Sign Language Recognition With Correlation Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Lianyu and Gao, Liqing and Liu, Zekang and Feng, Wei}, title = {Continuous Sign Language Recognition With Correlation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2529-2539} }
A Simple Framework for Text-Supervised Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Muyang and Cui, Quan and Wu, Hao and Yang, Cheng and Yoshie, Osamu and Lu, Hongtao}, title = {A Simple Framework for Text-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7071-7080} }
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Chen and Li, Guorong and Qi, Yuankai and Wang, Shuhui and Qing, Laiyun and Huang, Qingming and Yang, Ming-Hsuan}, title = {Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16271-16280} }
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Han and Liu, Celong and Ma, Chao and Mei, Xing}, title = {PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {88-96} }
Patch-Based 3D Natural Scene Generation From a Single Example-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Weiyu and Chen, Xuelin and Wang, Jue and Chen, Baoquan}, title = {Patch-Based 3D Natural Scene Generation From a Single Example}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16762-16772} }
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tejero_2023_CVPR, author = {Tejero, Javier Gamazo and Zinkernagel, Martin S. and Wolf, Sebastian and Sznitman, Raphael and M\'arquez-Neila, Pablo}, title = {Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11381-11391} }
Leveraging Hidden Positives for Unsupervised Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Seong_2023_CVPR, author = {Seong, Hyun Seok and Moon, WonJun and Lee, SuBeen and Heo, Jae-Pil}, title = {Leveraging Hidden Positives for Unsupervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19540-19549} }
Backdoor Defense via Deconfounded Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zaixi and Liu, Qi and Wang, Zhicai and Lu, Zepu and Hu, Qingyong}, title = {Backdoor Defense via Deconfounded Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12228-12238} }
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zichun and Fu, Ying and Liu, Ji and Zhang, Yulun}, title = {LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18156-18165} }
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tanay_2023_CVPR, author = {Tanay, Thomas and Leonardis, Ale\v{s} and Maggioni, Matteo}, title = {Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20898-20907} }
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Zhao and Gao, Tian and Wu, Kewei and Chang, Jiao}, title = {An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6652-6661} }
Color Backdoor: A Robust Poisoning Attack in Color Space-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Wenbo and Li, Hongwei and Xu, Guowen and Zhang, Tianwei}, title = {Color Backdoor: A Robust Poisoning Attack in Color Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8133-8142} }
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Yujian and Jin, Zirong and Li, Moran and Huang, Haibin and Ma, Chongyang and Cui, Shuguang and Han, Xiaoguang}, title = {HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12726-12735} }
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yingwei and Qi, Charles R. and Zhou, Yin and Liu, Chenxi and Anguelov, Dragomir}, title = {MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9329-9339} }
How You Feelin'? Learning Emotions and Mental States in Movie Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Srivastava_2023_CVPR, author = {Srivastava, Dhruv and Singh, Aditya Kumar and Tapaswi, Makarand}, title = {How You Feelin'? Learning Emotions and Mental States in Movie Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2517-2528} }
Dynamic Inference With Grounding Based Vision and Language Models-
[pdf]
[supp]
[bibtex]@InProceedings{Uzkent_2023_CVPR, author = {Uzkent, Burak and Garg, Amanmeet and Zhu, Wentao and Doshi, Keval and Yi, Jingru and Wang, Xiaolong and Omar, Mohamed}, title = {Dynamic Inference With Grounding Based Vision and Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2624-2633} }
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Boulch_2023_CVPR, author = {Boulch, Alexandre and Sautier, Corentin and Michele, Bj\"orn and Puy, Gilles and Marlet, Renaud}, title = {ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13455-13465} }
Connecting Vision and Language With Video Localized Narratives-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Voigtlaender_2023_CVPR, author = {Voigtlaender, Paul and Changpinyo, Soravit and Pont-Tuset, Jordi and Soricut, Radu and Ferrari, Vittorio}, title = {Connecting Vision and Language With Video Localized Narratives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2461-2471} }
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yukang and Wang, Hanzi}, title = {Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2153-2162} }
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Lianyu and Wang, Meng and Zhang, Daoqiang and Fu, Huazhu}, title = {Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20475-20484} }
Object Detection With Self-Supervised Scene Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zekun and Hoai, Minh}, title = {Object Detection With Self-Supervised Scene Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21589-21599} }
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Hantao and Zhang, Rui and Xu, Changsheng}, title = {Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6757-6767} }
Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Sixun and Hu, Huazhang and Lian, Dongze and Luo, Weixin and Qian, Yicheng and Gao, Shenghua}, title = {Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2437-2447} }
Self-Positioning Point-Based Transformer for Point Cloud Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jinyoung and Lee, Sanghyeok and Kim, Sihyeon and Xiong, Yunyang and Kim, Hyunwoo J.}, title = {Self-Positioning Point-Based Transformer for Point Cloud Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21814-21823} }
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Muli and Wang, Liancheng and Deng, Cheng and Zhang, Hanwang}, title = {Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3459-3468} }
Learning To Generate Image Embeddings With User-Level Differential Privacy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Zheng and Collins, Maxwell and Wang, Yuxiao and Panait, Liviu and Oh, Sewoong and Augenstein, Sean and Liu, Ting and Schroff, Florian and McMahan, H. Brendan}, title = {Learning To Generate Image Embeddings With User-Level Differential Privacy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7969-7980} }
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jiarui and Liu, Sifei and Vahdat, Arash and Byeon, Wonmin and Wang, Xiaolong and De Mello, Shalini}, title = {Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2955-2966} }
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jilan and Hou, Junlin and Zhang, Yuejie and Feng, Rui and Wang, Yi and Qiao, Yu and Xie, Weidi}, title = {Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2935-2944} }
Learning Dynamic Style Kernels for Artistic Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Wenju and Long, Chengjiang and Nie, Yongwei}, title = {Learning Dynamic Style Kernels for Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10083-10092} }
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pautrat_2023_CVPR, author = {Pautrat, R\'emi and Barath, Daniel and Larsson, Viktor and Oswald, Martin R. and Pollefeys, Marc}, title = {DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17327-17336} }
OcTr: Octree-Based Transformer for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Chao and Zhang, Yanan and Chen, Jiaxin and Huang, Di}, title = {OcTr: Octree-Based Transformer for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5166-5175} }
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Majumder_2023_CVPR, author = {Majumder, Sagnik and Jiang, Hao and Moulon, Pierre and Henderson, Ethan and Calamia, Paul and Grauman, Kristen and Ithapu, Vamsi Krishna}, title = {Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10554-10564} }
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xin and Li, Bingchen and Jin, Xin and Lan, Cuiling and Chen, Zhibo}, title = {Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1714-1724} }
MOT: Masked Optimal Transport for Partial Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, You-Wei and Ren, Chuan-Xian}, title = {MOT: Masked Optimal Transport for Partial Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3531-3540} }
Executing Your Commands via Motion Diffusion in Latent Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xin and Jiang, Biao and Liu, Wen and Huang, Zilong and Fu, Bin and Chen, Tao and Yu, Gang}, title = {Executing Your Commands via Motion Diffusion in Latent Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18000-18010} }
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Xiaoyu and Ran, Haoxi and Wang, Yue and Zhao, Hang}, title = {GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13570-13580} }
Learning Conditional Attributes for Compositional Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Qingsheng and Liu, Lingqiao and Jing, Chenchen and Chen, Hao and Liang, Guoqiang and Wang, Peng and Shen, Chunhua}, title = {Learning Conditional Attributes for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11197-11206} }
Complete 3D Human Reconstruction From a Single Incomplete Image-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Junying and Yoon, Jae Shin and Wang, Tuanfeng Y. and Singh, Krishna Kumar and Neumann, Ulrich}, title = {Complete 3D Human Reconstruction From a Single Incomplete Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8748-8758} }
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Honghui and Wang, Wenxiao and Chen, Minghao and Lin, Binbin and He, Tong and Chen, Hua and He, Xiaofei and Ouyang, Wanli}, title = {PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13476-13487} }
Adaptive Human Matting for Dynamic Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Chung-Ching and Wang, Jiang and Luo, Kun and Lin, Kevin and Li, Linjie and Wang, Lijuan and Liu, Zicheng}, title = {Adaptive Human Matting for Dynamic Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10229-10238} }
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shu_2023_CVPR, author = {Shu, Yangyang and van den Hengel, Anton and Liu, Lingqiao}, title = {Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11392-11401} }
Reconstructing Animatable Categories From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Gengshan and Wang, Chaoyang and Reddy, N. Dinesh and Ramanan, Deva}, title = {Reconstructing Animatable Categories From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16995-17005} }
UDE: A Unified Driving Engine for Human Motion Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Zixiang and Wang, Baoyuan}, title = {UDE: A Unified Driving Engine for Human Motion Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5632-5641} }
High-Fidelity 3D Human Digitization From Single 2K Resolution Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Sang-Hun and Park, Min-Gyu and Yoon, Ju Hong and Kang, Ju-Mi and Park, Young-Jae and Jeon, Hae-Gon}, title = {High-Fidelity 3D Human Digitization From Single 2K Resolution Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12869-12879} }
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Yang and Song, Huihui and Liu, Bo and Zhang, Kaihua and Liu, Dong}, title = {Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19639-19648} }
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Nagata_2023_CVPR, author = {Nagata, Jun and Sekikawa, Yusuke}, title = {Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21940-21949} }
Extracting Class Activation Maps From Non-Discriminative Features As Well-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zhaozheng and Sun, Qianru}, title = {Extracting Class Activation Maps From Non-Discriminative Features As Well}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3135-3144} }
BlendFields: Few-Shot Example-Driven Facial Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kania_2023_CVPR, author = {Kania, Kacper and Garbin, Stephan J. and Tagliasacchi, Andrea and Estellers, Virginia and Yi, Kwang Moo and Valentin, Julien and Trzci\'nski, Tomasz and Kowalski, Marek}, title = {BlendFields: Few-Shot Example-Driven Facial Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {404-415} }
Adaptive Sparse Pairwise Loss for Object Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Xiao and Zhong, Yujie and Cheng, Zhen and Liang, Fan and Ma, Lin}, title = {Adaptive Sparse Pairwise Loss for Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19691-19701} }
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Haoqian and Hu, Zhipeng and Li, Lincheng and Zhang, Yongqiang and Fan, Changjie and Yu, Xin}, title = {NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4295-4304} }
Towards Professional Level Crowd Annotation of Expert Domain Data-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Pei and Vasconcelos, Nuno}, title = {Towards Professional Level Crowd Annotation of Expert Domain Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3166-3175} }
Fully Self-Supervised Depth Estimation From Defocus Clue-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Si_2023_CVPR, author = {Si, Haozhe and Zhao, Bin and Wang, Dong and Gao, Yunpeng and Chen, Mulin and Wang, Zhigang and Li, Xuelong}, title = {Fully Self-Supervised Depth Estimation From Defocus Clue}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9140-9149} }
Semi-Weakly Supervised Object Kinematic Motion Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Gengxin and Sun, Qian and Huang, Haibin and Ma, Chongyang and Guo, Yulan and Yi, Li and Huang, Hui and Hu, Ruizhen}, title = {Semi-Weakly Supervised Object Kinematic Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21726-21735} }
Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances-
[pdf]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Zhenqi and Yang, Yan and Tu, Xiaotong and Huang, Yue and Ding, Xinghao and Ma, Kai-Kuang}, title = {Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22252-22261} }
Deep Stereo Video Inpainting-
[pdf]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Zhiliang and Sun, Changchang and Xuan, Hanyu and Yan, Yan}, title = {Deep Stereo Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5693-5702} }
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2023_CVPR, author = {Shao, Zhenwei and Yu, Zhou and Wang, Meng and Yu, Jun}, title = {Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14974-14983} }
IFSeg: Image-Free Semantic Segmentation via Vision-Language Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yun_2023_CVPR, author = {Yun, Sukmin and Park, Seong Hyeon and Seo, Paul Hongsuck and Shin, Jinwoo}, title = {IFSeg: Image-Free Semantic Segmentation via Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2967-2977} }
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Aakanksha_2023_CVPR, author = {Aakanksha and Rajagopalan, A. N.}, title = {Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10470-10479} }
Progressive Open Space Expansion for Open-Set Model Attribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Tianyun and Wang, Danding and Tang, Fan and Zhao, Xinying and Cao, Juan and Tang, Sheng}, title = {Progressive Open Space Expansion for Open-Set Model Attribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15856-15865} }
Backdoor Cleansing With Unlabeled Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2023_CVPR, author = {Pang, Lu and Sun, Tao and Ling, Haibin and Chen, Chao}, title = {Backdoor Cleansing With Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12218-12227} }
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Alper_2023_CVPR, author = {Alper, Morris and Fiman, Michael and Averbuch-Elor, Hadar}, title = {Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6778-6788} }
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Rizve_2023_CVPR, author = {Rizve, Mamshad Nayeem and Mittal, Gaurav and Yu, Ye and Hall, Matthew and Sajeev, Sandra and Shah, Mubarak and Chen, Mei}, title = {PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22992-23002} }
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Zhifeng and Ding, Changxing and Yao, Huan and Kuang, Zengsheng and Huang, Shaoli}, title = {Harmonious Feature Learning for Interactive Hand-Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12989-12998} }
3D GAN Inversion With Facial Symmetry Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Fei and Zhang, Yong and Wang, Xuan and Wang, Tengfei and Li, Xiaoyu and Gong, Yuan and Fan, Yanbo and Cun, Xiaodong and Shan, Ying and Oztireli, Cengiz and Yang, Yujiu}, title = {3D GAN Inversion With Facial Symmetry Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {342-351} }
CLOTH4D: A Dataset for Clothed Human Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Zou_2023_CVPR, author = {Zou, Xingxing and Han, Xintong and Wong, Waikeung}, title = {CLOTH4D: A Dataset for Clothed Human Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12847-12857} }
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Yen-Chi and Lee, Hsin-Ying and Tulyakov, Sergey and Schwing, Alexander G. and Gui, Liang-Yan}, title = {SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4456-4465} }
SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Qingsen and Zhang, Song and Chen, Weiye and Tang, Hao and Zhu, Yu and Sun, Jinqiu and Van Gool, Luc and Zhang, Yanning}, title = {SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5775-5784} }
Improving Generalization With Domain Convex Game-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lv_2023_CVPR, author = {Lv, Fangrui and Liang, Jian and Li, Shuang and Zhang, Jinming and Liu, Di}, title = {Improving Generalization With Domain Convex Game}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24315-24324} }
Learning To Render Novel Views From Wide-Baseline Stereo Pairs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Yilun and Smith, Cameron and Tewari, Ayush and Sitzmann, Vincent}, title = {Learning To Render Novel Views From Wide-Baseline Stereo Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4970-4980} }
TryOnDiffusion: A Tale of Two UNets-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Luyang and Yang, Dawei and Zhu, Tyler and Reda, Fitsum and Chan, William and Saharia, Chitwan and Norouzi, Mohammad and Kemelmacher-Shlizerman, Ira}, title = {TryOnDiffusion: A Tale of Two UNets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4606-4615} }
Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Pengwei and Yao, Wei and Li, Zhicong and Liu, Yong}, title = {Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24406-24416} }
Generative Bias for Robust Visual Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Jae Won and Kim, Dong-Jin and Ryu, Hyeonggon and Kweon, In So}, title = {Generative Bias for Robust Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11681-11690} }
Data-Free Sketch-Based Image Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chaudhuri_2023_CVPR, author = {Chaudhuri, Abhra and Bhunia, Ayan Kumar and Song, Yi-Zhe and Dutta, Anjan}, title = {Data-Free Sketch-Based Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12084-12093} }
Multi-Object Manipulation via Object-Centric Neural Scattering Functions-
[pdf]
[supp]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Stephen and Cai, Yancheng and Yu, Hong-Xing and Zakharov, Sergey and Liu, Katherine and Gaidon, Adrien and Li, Yunzhu and Wu, Jiajun}, title = {Multi-Object Manipulation via Object-Centric Neural Scattering Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9021-9031} }
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stergiou_2023_CVPR, author = {Stergiou, Alexandros and Damen, Dima}, title = {The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14709-14719} }
Invertible Neural Skinning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kant_2023_CVPR, author = {Kant, Yash and Siarohin, Aliaksandr and Guler, Riza Alp and Chai, Menglei and Ren, Jian and Tulyakov, Sergey and Gilitschenski, Igor}, title = {Invertible Neural Skinning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8715-8725} }
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor-
[pdf]
[supp]
[bibtex]@InProceedings{Kweon_2023_CVPR, author = {Kweon, Hyeokjun and Yoon, Sung-Hoon and Yoon, Kuk-Jin}, title = {Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11329-11339} }
Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Qu and Zhu, Xiangyu and Lei, Zhen and Zhang, Zhaoxiang}, title = {Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23252-23261} }
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Leming and Xue, Wanli and Guo, Qing and Liu, Bo and Zhang, Kaihua and Yuan, Tiantian and Chen, Shengyong}, title = {Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10771-10780} }
Automatic High Resolution Wire Segmentation and Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chiu_2023_CVPR, author = {Chiu, Mang Tik and Zhang, Xuaner and Wei, Zijun and Zhou, Yuqian and Shechtman, Eli and Barnes, Connelly and Lin, Zhe and Kainz, Florian and Amirghodsi, Sohrab and Shi, Humphrey}, title = {Automatic High Resolution Wire Segmentation and Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2183-2192} }
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Joshua C. and Elkordy, Ahmed Roushdy and Sharma, Atul and Ezzeldin, Yahya H. and Avestimehr, Salman and Bagchi, Saurabh}, title = {The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3974-3983} }
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mei_2023_CVPR, author = {Mei, Guofeng and Tang, Hao and Huang, Xiaoshui and Wang, Weijie and Liu, Juan and Zhang, Jian and Van Gool, Luc and Wu, Qiang}, title = {Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13611-13620} }
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Dezhao and Huang, Jiabo and Gong, Shaogang and Jin, Hailin and Liu, Yang}, title = {Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23045-23055} }
Learning Adaptive Dense Event Stereo From the Image Domain-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Hoonhee and Cho, Jegyeong and Yoon, Kuk-Jin}, title = {Learning Adaptive Dense Event Stereo From the Image Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17797-17807} }
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Chaohui and Zhou, Qiang and Li, Jingliang and Yuan, Jianlong and Wang, Zhibin and Wang, Fan}, title = {Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23685-23694} }
Seeing a Rose in Five Thousand Ways-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yunzhi and Wu, Shangzhe and Snavely, Noah and Wu, Jiajun}, title = {Seeing a Rose in Five Thousand Ways}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {962-971} }
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Liao and Hu, Qiang and He, Qihan and Wang, Ziyu and Yu, Jingyi and Tuytelaars, Tinne and Xu, Lan and Wu, Minye}, title = {Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {76-87} }
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Kehan and Wang, Zhennan and Cheng, Zesen and Yu, Runyi and Zhao, Yian and Song, Guoli and Liu, Chang and Yuan, Li and Chen, Jie}, title = {ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7162-7172} }
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Chen and Li, Peihao and Zhou, Zanwei and Yuan, Shanxin and Liu, Bingbing and Yang, Xiaokang and Qiu, Weichao and Shen, Wei}, title = {NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16549-16558} }
Reproducible Scaling Laws for Contrastive Language-Image Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cherti_2023_CVPR, author = {Cherti, Mehdi and Beaumont, Romain and Wightman, Ross and Wortsman, Mitchell and Ilharco, Gabriel and Gordon, Cade and Schuhmann, Christoph and Schmidt, Ludwig and Jitsev, Jenia}, title = {Reproducible Scaling Laws for Contrastive Language-Image Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2818-2829} }
Similarity Metric Learning for RGB-Infrared Group Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Jianghao and Lai, Jianhuang}, title = {Similarity Metric Learning for RGB-Infrared Group Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13662-13671} }
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence-
[pdf]
[supp]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Yonggan and Li, Yuecheng and Li, Chenghui and Saragih, Jason and Zhang, Peizhao and Dai, Xiaoliang and Lin, Yingyan (Celine)}, title = {Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21036-21045} }
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Roetzer_2023_CVPR, author = {Roetzer, Paul and L\"ahner, Zorah and Bernard, Florian}, title = {Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21866-21875} }
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Sheng and Khan, Salman and Shen, Zhiqiang and Naseer, Muzammal and Chen, Guangyi and Khan, Fahad Shahbaz}, title = {PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3479-3488} }
Train/Test-Time Adaptation With Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zancato_2023_CVPR, author = {Zancato, Luca and Achille, Alessandro and Liu, Tian Yu and Trager, Matthew and Perera, Pramuditha and Soatto, Stefano}, title = {Train/Test-Time Adaptation With Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15911-15921} }
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion With Missing Part Sensitive Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Shanshan and Gao, Pan and Tan, Xiaoyang and Wei, Mingqiang}, title = {ProxyFormer: Proxy Alignment Assisted Point Cloud Completion With Missing Part Sensitive Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9466-9475} }
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zitian and Shen, Yikang and Ding, Mingyu and Chen, Zhenfang and Zhao, Hengshuang and Learned-Miller, Erik G. and Gan, Chuang}, title = {Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11828-11837} }
Learning Customized Visual Models With Retrieval-Augmented Knowledge-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Haotian and Son, Kilho and Yang, Jianwei and Liu, Ce and Gao, Jianfeng and Lee, Yong Jae and Li, Chunyuan}, title = {Learning Customized Visual Models With Retrieval-Augmented Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15148-15158} }
Multi-Realism Image Compression With a Conditional Generator-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Agustsson_2023_CVPR, author = {Agustsson, Eirikur and Minnen, David and Toderici, George and Mentzer, Fabian}, title = {Multi-Realism Image Compression With a Conditional Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22324-22333} }
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jierun and Kao, Shiu-hong and He, Hao and Zhuo, Weipeng and Wen, Song and Lee, Chul-Ho and Chan, S.-H. Gary}, title = {Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12021-12031} }
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Xianmin and Lin, Yuxin and Zhou, Haoyang and Zeng, Chong and Yu, Yaxin and Zhou, Kun and Wu, Hongzhi}, title = {A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {206-215} }
Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hager_2023_CVPR, author = {Hager, Paul and Menten, Martin J. and Rueckert, Daniel}, title = {Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23924-23935} }
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhenjie and Li, Shuang and Shen, Yirui and Liu, Chi Harold and Wang, Shuigen}, title = {On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1631-1640} }
Masked Images Are Counterfactual Samples for Robust Fine-Tuning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Yao and Tang, Ziyi and Wei, Pengxu and Liu, Cong and Lin, Liang}, title = {Masked Images Are Counterfactual Samples for Robust Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20301-20310} }
StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dvornik_2023_CVPR, author = {Dvornik, Nikita and Hadji, Isma and Zhang, Ran and Derpanis, Konstantinos G. and Wildes, Richard P. and Jepson, Allan D.}, title = {StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18952-18961} }
Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2023_CVPR, author = {Zhong, Yiwu and Yu, Licheng and Bai, Yang and Li, Shangwen and Yan, Xueting and Li, Yin}, title = {Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14825-14835} }
Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mukhoti_2023_CVPR, author = {Mukhoti, Jishnu and Lin, Tsung-Yu and Poursaeed, Omid and Wang, Rui and Shah, Ashish and Torr, Philip H.S. and Lim, Ser-Nam}, title = {Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19413-19423} }
CLIP the Gap: A Single Domain Generalization Approach for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vidit_2023_CVPR, author = {Vidit, Vidit and Engilberge, Martin and Salzmann, Mathieu}, title = {CLIP the Gap: A Single Domain Generalization Approach for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3219-3229} }
Co-Training 2L Submodels for Visual Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Touvron_2023_CVPR, author = {Touvron, Hugo and Cord, Matthieu and Oquab, Maxime and Bojanowski, Piotr and Verbeek, Jakob and J\'egou, Herv\'e}, title = {Co-Training 2L Submodels for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11701-11710} }
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2023_CVPR, author = {Jung, HyunJun and Ruhkamp, Patrick and Zhai, Guangyao and Brasch, Nikolas and Li, Yitong and Verdie, Yannick and Song, Jifei and Zhou, Yiren and Armagan, Anil and Ilic, Slobodan and Leonardis, Ale\v{s} and Navab, Nassir and Busam, Benjamin}, title = {On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {780-791} }
Camouflaged Instance Segmentation via Explicit De-Camouflaging-
[pdf]
[supp]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Naisong and Pan, Yuwen and Sun, Rui and Zhang, Tianzhu and Xiong, Zhiwei and Wu, Feng}, title = {Camouflaged Instance Segmentation via Explicit De-Camouflaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17918-17927} }
Understanding Masked Autoencoders via Hierarchical Latent Variable Models-
[pdf]
[supp]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Lingjing and Ma, Martin Q. and Chen, Guangyi and Xing, Eric P. and Chi, Yuejie and Morency, Louis-Philippe and Zhang, Kun}, title = {Understanding Masked Autoencoders via Hierarchical Latent Variable Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7918-7928} }
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance-
[pdf]
[supp]
[bibtex]@InProceedings{Fridovich-Keil_2023_CVPR, author = {Fridovich-Keil, Sara and Meanti, Giacomo and Warburg, Frederik Rahb{\ae}k and Recht, Benjamin and Kanazawa, Angjoo}, title = {K-Planes: Explicit Radiance Fields in Space, Time, and Appearance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12479-12488} }
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Kaiyou and Xie, Jin and Zhang, Shan and Luo, Zimeng}, title = {Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11848-11857} }
Unbalanced Optimal Transport: A Unified Framework for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{De_Plaen_2023_CVPR, author = {De Plaen, Henri and De Plaen, Pierre-Fran\c{c}ois and Suykens, Johan A. K. and Proesmans, Marc and Tuytelaars, Tinne and Van Gool, Luc}, title = {Unbalanced Optimal Transport: A Unified Framework for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3198-3207} }
Viewpoint Equivariance for Multi-View 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Dian and Li, Jie and Guizilini, Vitor and Ambrus, Rares Andrei and Gaidon, Adrien}, title = {Viewpoint Equivariance for Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9213-9222} }
Photo Pre-Training, but for Sketch-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ke and Pang, Kaiyue and Song, Yi-Zhe}, title = {Photo Pre-Training, but for Sketch}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2754-2764} }
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Zehan and Wu, Danni and Lu, Ruisi and Lu, Fan and Chen, Guang and Jiang, Changjun}, title = {NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {909-918} }
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Wenhao and Wang, Xiaohan and Luo, Haipeng and Wang, Jingdong and Yang, Yi and Ouyang, Wanli}, title = {Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6620-6630} }
Adaptive Plasticity Improvement for Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Yan-Shuo and Li, Wu-Jun}, title = {Adaptive Plasticity Improvement for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7816-7825} }
Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saito_2023_CVPR, author = {Saito, Kuniaki and Sohn, Kihyuk and Zhang, Xiang and Li, Chun-Liang and Lee, Chen-Yu and Saenko, Kate and Pfister, Tomas}, title = {Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19305-19314} }
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Shicai and Luo, Chunbo and Luo, Yang}, title = {MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20039-20049} }
Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kulal_2023_CVPR, author = {Kulal, Sumith and Brooks, Tim and Aiken, Alex and Wu, Jiajun and Yang, Jimei and Lu, Jingwan and Efros, Alexei A. and Singh, Krishna Kumar}, title = {Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17089-17099} }
3D Neural Field Generation Using Triplane Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shue_2023_CVPR, author = {Shue, J. Ryan and Chan, Eric Ryan and Po, Ryan and Ankner, Zachary and Wu, Jiajun and Wetzstein, Gordon}, title = {3D Neural Field Generation Using Triplane Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20875-20886} }
Regularized Vector Quantization for Tokenized Image Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiahui and Zhan, Fangneng and Theobalt, Christian and Lu, Shijian}, title = {Regularized Vector Quantization for Tokenized Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18467-18476} }
Semantic Scene Completion With Cleaner Self-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Fengyun and Zhang, Dong and Zhang, Hanwang and Tang, Jinhui and Sun, Qianru}, title = {Semantic Scene Completion With Cleaner Self}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {867-877} }
Improving Image Recognition by Retrieving From Web-Scale Image-Text Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iscen_2023_CVPR, author = {Iscen, Ahmet and Fathi, Alireza and Schmid, Cordelia}, title = {Improving Image Recognition by Retrieving From Web-Scale Image-Text Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19295-19304} }
Deep Factorized Metric Learning-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chengkun and Zheng, Wenzhao and Li, Junlong and Zhou, Jie and Lu, Jiwen}, title = {Deep Factorized Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7672-7682} }
High-Fidelity 3D Face Generation From Natural Language Descriptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Menghua and Zhu, Hao and Huang, Linjia and Zhuang, Yiyu and Lu, Yuanxun and Cao, Xun}, title = {High-Fidelity 3D Face Generation From Natural Language Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4521-4530} }
A Generalized Framework for Video Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Heo_2023_CVPR, author = {Heo, Miran and Hwang, Sukjun and Hyun, Jeongseok and Kim, Hanjung and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo}, title = {A Generalized Framework for Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14623-14632} }
Multi-Level Logit Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Ying and Wang, Jiaqi and Lin, Dahua}, title = {Multi-Level Logit Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24276-24285} }
On Distillation of Guided Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2023_CVPR, author = {Meng, Chenlin and Rombach, Robin and Gao, Ruiqi and Kingma, Diederik and Ermon, Stefano and Ho, Jonathan and Salimans, Tim}, title = {On Distillation of Guided Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14297-14306} }
Dual-Path Adaptation From Image to Video Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jungin and Lee, Jiyoung and Sohn, Kwanghoon}, title = {Dual-Path Adaptation From Image to Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2203-2213} }
Towards Better Decision Forests: Forest Alternating Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Carreira-Perpinan_2023_CVPR, author = {Carreira-Perpi\~n\'an, Miguel \'A. and Gabidolla, Magzhan and Zharmagambetov, Arman}, title = {Towards Better Decision Forests: Forest Alternating Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7589-7598} }
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Richard and Aigerman, Noam and Kim, Vladimir G. and Hanocka, Rana}, title = {DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16739-16749} }
Disentangled Representation Learning for Unsupervised Neural Quantization-
[pdf]
[bibtex]@InProceedings{Noh_2023_CVPR, author = {Noh, Haechan and Hyun, Sangeek and Jeong, Woojin and Lim, Hanshin and Heo, Jae-Pil}, title = {Disentangled Representation Learning for Unsupervised Neural Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12001-12010} }
Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Chaolei and Lin, Zihang and Hu, Jian-Fang and Zheng, Wei-Shi and Lai, Jianhuang}, title = {Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18973-18982} }
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Cheng and Gao, Zhangyang and Wu, Lirong and Xu, Yongjie and Xia, Jun and Li, Siyuan and Li, Stan Z.}, title = {Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18770-18782} }
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jiashun and Li, Xueting and Liu, Sifei and De Mello, Shalini and Gallo, Orazio and Wang, Xiaolong and Kautz, Jan}, title = {Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8704-8714} }
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals-
[pdf]
[supp]
[bibtex]@InProceedings{Shibata_2023_CVPR, author = {Shibata, Yuto and Kawashima, Yutaka and Isogawa, Mariko and Irie, Go and Kimura, Akisato and Aoki, Yoshimitsu}, title = {Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13323-13332} }
Meta-Learning With a Geometry-Adaptive Preconditioner-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Suhyun and Hwang, Duhun and Eo, Moonjung and Kim, Taesup and Rhee, Wonjong}, title = {Meta-Learning With a Geometry-Adaptive Preconditioner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16080-16090} }
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Mingjie and Lin, Bingqian and Chen, Zicong and Lin, Haokun and Liang, Xiaodan and Chang, Xiaojun}, title = {Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3334-3343} }
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Shuo and Xu, Zhaopan and Wang, Kai and You, Yang and Yao, Hongxun and Liu, Tongliang and Xu, Min}, title = {BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19883-19892} }
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jiahao and Su, Bing}, title = {Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19978-19987} }
FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuqi and Chen, Yuntao and Zhang, Zhaoxiang}, title = {FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5096-5105} }
Global Vision Transformer Pruning With Hessian-Aware Saliency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Huanrui and Yin, Hongxu and Shen, Maying and Molchanov, Pavlo and Li, Hai and Kautz, Jan}, title = {Global Vision Transformer Pruning With Hessian-Aware Saliency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18547-18557} }
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Zhipeng and Li, Lanqing and Zhao, Peilin and Heng, Pheng-Ann and Gong, Wei}, title = {Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3499-3509} }
ScarceNet: Animal Pose Estimation With Scarce Annotations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Chen and Lee, Gim Hee}, title = {ScarceNet: Animal Pose Estimation With Scarce Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17174-17183} }
OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Weijia and Lai, Yawen and Xu, Linning and Xiangli, Yuanbo and Yu, Jinhua and He, Conghui and Xia, Gui-Song and Lin, Dahua}, title = {OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17397-17407} }
Efficient On-Device Training via Gradient Filtering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yuedong and Li, Guihong and Marculescu, Radu}, title = {Efficient On-Device Training via Gradient Filtering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3811-3820} }
SViTT: Temporal Learning of Sparse Video-Text Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yi and Min, Kyle and Tripathi, Subarna and Vasconcelos, Nuno}, title = {SViTT: Temporal Learning of Sparse Video-Text Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18919-18929} }
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Juze and Luo, Haimin and Yang, Hongdi and Xu, Xinru and Wu, Qianyang and Shi, Ye and Yu, Jingyi and Xu, Lan and Wang, Jingya}, title = {NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8834-8845} }
3D Human Mesh Estimation From Virtual Markers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Xiaoxuan and Su, Jiajun and Wang, Chunyu and Zhu, Wentao and Wang, Yizhou}, title = {3D Human Mesh Estimation From Virtual Markers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {534-543} }
CUDA: Convolution-Based Unlearnable Datasets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sadasivan_2023_CVPR, author = {Sadasivan, Vinu Sankar and Soltanolkotabi, Mahdi and Feizi, Soheil}, title = {CUDA: Convolution-Based Unlearnable Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3862-3871} }
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Yingxiao and Wu, Jianxin}, title = {No One Left Behind: Improving the Worst Categories in Long-Tailed Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15804-15813} }
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Pengxin and Li, Yunfan and Hu, Peng and Peng, Dezhong and Lv, Jiancheng and Peng, Xi}, title = {Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23986-23995} }
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yong and Chen, Qiong and Feng, Yuan and Huang, Tianlin}, title = {MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7131-7140} }
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition-
[pdf]
[supp]
[bibtex]@InProceedings{Luan_2023_CVPR, author = {Luan, Tianyu and Zhai, Yuanhao and Meng, Jingjing and Li, Zhong and Chen, Zhang and Xu, Yi and Yuan, Junsong}, title = {High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16795-16804} }
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yang and Zhou, Zhipeng and Sun, Baigui}, title = {COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19998-20007} }
Target-Referenced Reactive Grasping for Dynamic Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jirong and Zhang, Ruo and Fang, Hao-Shu and Gou, Minghao and Fang, Hongjie and Wang, Chenxi and Xu, Sheng and Yan, Hengxu and Lu, Cewu}, title = {Target-Referenced Reactive Grasping for Dynamic Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8824-8833} }
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Haina and Han, Longfei and Xiong, Weihua and Wang, Juan and Ma, Wentao and Li, Bing and Hu, Weiming}, title = {Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22314-22323} }
Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Zhihao and Xu, Dong}, title = {Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14358-14367} }
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Ning and Nex, Francesco and Vosselman, George and Kerle, Norman}, title = {Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18537-18546} }
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins-
[pdf]
[supp]
[bibtex]@InProceedings{Sosea_2023_CVPR, author = {Sosea, Tiberiu and Caragea, Cornelia}, title = {MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15773-15782} }
Neural Scene Chronology-
[pdf]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Haotong and Wang, Qianqian and Cai, Ruojin and Peng, Sida and Averbuch-Elor, Hadar and Zhou, Xiaowei and Snavely, Noah}, title = {Neural Scene Chronology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20752-20761} }
Starting From Non-Parametric Networks for 3D Point Cloud Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Renrui and Wang, Liuhui and Wang, Yali and Gao, Peng and Li, Hongsheng and Shi, Jianbo}, title = {Starting From Non-Parametric Networks for 3D Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5344-5353} }
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination-
[pdf]
[supp]
[bibtex]@InProceedings{Yoshida_2023_CVPR, author = {Yoshida, Yusaku and Kawahara, Ryo and Okabe, Takahiro}, title = {Light Source Separation and Intrinsic Image Decomposition Under AC Illumination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5735-5743} }
TIPI: Test Time Adaptation With Transformation Invariance-
[pdf]
[supp]
[bibtex]@InProceedings{Nguyen_2023_CVPR, author = {Nguyen, A. Tuan and Nguyen-Tang, Thanh and Lim, Ser-Nam and Torr, Philip H.S.}, title = {TIPI: Test Time Adaptation With Transformation Invariance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24162-24171} }
OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Zhiyuan and Zhu, Xiangyu and Qi, Guo-Jun and Lei, Zhen and Zhang, Lei}, title = {OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16901-16910} }
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Weihua and Xu, Xianzhe and Jia, Jian and Luo, Hao and Wang, Yaohua and Wang, Fan and Jin, Rong and Sun, Xiuyu}, title = {Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15050-15061} }
Large-Capacity and Flexible Video Steganography via Invertible Neural Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mou_2023_CVPR, author = {Mou, Chong and Xu, Youmin and Song, Jiechong and Zhao, Chen and Ghanem, Bernard and Zhang, Jian}, title = {Large-Capacity and Flexible Video Steganography via Invertible Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22606-22615} }
CFA: Class-Wise Calibrated Fair Adversarial Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Zeming and Wang, Yifei and Guo, Yiwen and Wang, Yisen}, title = {CFA: Class-Wise Calibrated Fair Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8193-8201} }
EVAL: Explainable Video Anomaly Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2023_CVPR, author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik G.}, title = {EVAL: Explainable Video Anomaly Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18717-18726} }
Position-Guided Text Prompt for Vision-Language Pre-Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jinpeng and Zhou, Pan and Shou, Mike Zheng and Yan, Shuicheng}, title = {Position-Guided Text Prompt for Vision-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23242-23251} }
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Karnewar_2023_CVPR, author = {Karnewar, Animesh and Vedaldi, Andrea and Novotny, David and Mitra, Niloy J.}, title = {HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18423-18433} }
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Jianhua and Li, Yuxuan and Chai, Liang and Lu, Cewu}, title = {Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22014-22023} }
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zhenhua and Qiu, Zhaofan and Hao, Yanbin and Hong, Richang and Yao, Ting}, title = {3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4790-4799} }
Plateau-Reduced Differentiable Path Tracing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fischer_2023_CVPR, author = {Fischer, Michael and Ritschel, Tobias}, title = {Plateau-Reduced Differentiable Path Tracing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4285-4294} }
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xin and Ma, Tao and Hou, Yuenan and Shi, Botian and Yang, Yuchen and Liu, Youquan and Wu, Xingjiao and Chen, Qin and Li, Yikang and Qiao, Yu and He, Liang}, title = {LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17524-17534} }
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector-
[pdf]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Yichen and Zhou, Qiqi and Liu, Ning and Xu, Zhiyuan and Ou, Zhicai and Mou, Xiaofeng and Tang, Jian}, title = {ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19723-19733} }
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Tsu-Jui and Li, Linjie and Gan, Zhe and Lin, Kevin and Wang, William Yang and Wang, Lijuan and Liu, Zicheng}, title = {An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22898-22909} }
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haoyu and Pang, Guansong and Wang, Peng and Zhang, Lei and Wei, Wei and Zhang, Yanning}, title = {Glocal Energy-Based Learning for Few-Shot Open-Set Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7507-7516} }
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ruyang and Huang, Jingjia and Li, Ge and Feng, Jiashi and Wu, Xinglong and Li, Thomas H.}, title = {Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6555-6564} }
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kumar_2023_CVPR, author = {Kumar, Satish and Arevalo, Ivan and Iftekhar, ASM and Manjunath, B S}, title = {MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17609-17618} }
Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration-
[pdf]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Yu and Chen, Ronghan and Cong, Yang}, title = {Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17069-17078} }
Representation Learning for Visual Object Tracking by Masked Appearance Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Haojie and Wang, Dong and Lu, Huchuan}, title = {Representation Learning for Visual Object Tracking by Masked Appearance Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18696-18705} }
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lei_2023_CVPR, author = {Lei, Jiahui and Deng, Congyue and Schmeckpeper, Karl and Guibas, Leonidas and Daniilidis, Kostas}, title = {EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4902-4912} }
Learning To Name Classes for Vision and Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Parisot_2023_CVPR, author = {Parisot, Sarah and Yang, Yongxin and McDonagh, Steven}, title = {Learning To Name Classes for Vision and Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23477-23486} }
ECON: Explicit Clothed Humans Optimized via Normal Integration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiu_2023_CVPR, author = {Xiu, Yuliang and Yang, Jinlong and Cao, Xu and Tzionas, Dimitrios and Black, Michael J.}, title = {ECON: Explicit Clothed Humans Optimized via Normal Integration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {512-523} }
Neural Fourier Filter Bank-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Zhijie and Jin, Yuhe and Yi, Kwang Moo}, title = {Neural Fourier Filter Bank}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14153-14163} }
F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Peng and Liu, Yuan and Chen, Zhaoxi and Liu, Lingjie and Liu, Ziwei and Komura, Taku and Theobalt, Christian and Wang, Wenping}, title = {F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4150-4159} }
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Yu and Ghasedi, Kamran and Wu, HsiangTao and Yang, Jiaolong and Tong, Xin and Fu, Yun}, title = {NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8539-8548} }
Learning To Detect and Segment for Open Vocabulary Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Tao}, title = {Learning To Detect and Segment for Open Vocabulary Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7051-7060} }
Disentangling Writer and Character Styles for Handwriting Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2023_CVPR, author = {Dai, Gang and Zhang, Yifan and Wang, Qingfeng and Du, Qing and Yu, Zhuliang and Liu, Zhuoman and Huang, Shuangping}, title = {Disentangling Writer and Character Styles for Handwriting Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5977-5986} }
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2023_CVPR, author = {Dai, Yuekun and Luo, Yihang and Zhou, Shangchen and Li, Chongyi and Loy, Chen Change}, title = {Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20783-20791} }
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guan_2023_CVPR, author = {Guan, Jiazhi and Zhang, Zhanwang and Zhou, Hang and Hu, Tianshu and Wang, Kaisiyuan and He, Dongliang and Feng, Haocheng and Liu, Jingtuo and Ding, Errui and Liu, Ziwei and Wang, Jingdong}, title = {StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1505-1515} }
Balanced Spherical Grid for Egocentric View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Changwoon and Kim, Sang Min and Kim, Young Min}, title = {Balanced Spherical Grid for Egocentric View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16590-16599} }
Box-Level Active Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lyu_2023_CVPR, author = {Lyu, Mengyao and Zhou, Jundong and Chen, Hui and Huang, Yijie and Yu, Dongdong and Li, Yaqian and Guo, Yandong and Guo, Yuchen and Xiang, Liuyu and Ding, Guiguang}, title = {Box-Level Active Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23766-23775} }
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sungnyun and Bae, Sangmin and Yun, Se-Young}, title = {Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7537-7547} }
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rempe_2023_CVPR, author = {Rempe, Davis and Luo, Zhengyi and Bin Peng, Xue and Yuan, Ye and Kitani, Kris and Kreis, Karsten and Fidler, Sanja and Litany, Or}, title = {Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13756-13766} }
Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramaswamy_2023_CVPR, author = {Ramaswamy, Vikram V. and Kim, Sunnie S. Y. and Fong, Ruth and Russakovsky, Olga}, title = {Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10932-10941} }
Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Xianghao and Guerrero, Paul and Fisher, Matthew and Chaudhuri, Siddhartha and Ritchie, Daniel}, title = {Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8559-8567} }
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xin and Peng, Houwen and Wang, Dong and Lu, Huchuan and Hu, Han}, title = {SeqTrack: Sequence to Sequence Learning for Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14572-14581} }
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Zhenxuan and Wu, Fangfang and Dong, Weisheng and Li, Xin and Wu, Jinjian and Shi, Guangming}, title = {Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18105-18114} }
AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zara_2023_CVPR, author = {Zara, Giacomo and Roy, Subhankar and Rota, Paolo and Ricci, Elisa}, title = {AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11504-11513} }
Generative Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jiaqi and Lu, Jiachen and Zhu, Xiatian and Zhang, Li}, title = {Generative Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7111-7120} }
Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream-
[pdf]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Yuheng and Yao, Kaixin and Su, Zhuo and Shen, Zhehao and Luo, Haimin and Xu, Lan}, title = {Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {595-605} }
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiahao and Cherian, Anoop and Liu, Yanbin and Ben-Shabat, Yizhak and Rodriguez, Cristian and Gould, Stephen}, title = {Aligning Step-by-Step Instructional Diagrams to Video Demonstrations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2483-2492} }
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception-
[pdf]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Junyu and Chen, Mengyuan and Xu, Changsheng}, title = {Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18827-18836} }
High-Fidelity and Freely Controllable Talking Head Video Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Yue and Zhou, Yuan and Wang, Jinglu and Li, Xiao and Ming, Xiang and Lu, Yan}, title = {High-Fidelity and Freely Controllable Talking Head Video Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5609-5619} }
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer-
[pdf]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Sheng and Li, Yanjing and Lin, Mingbao and Gao, Peng and Guo, Guodong and L\"u, Jinhu and Zhang, Baochang}, title = {Q-DETR: An Efficient Low-Bit Quantized Detection Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3842-3851} }
DINER: Depth-Aware Image-Based NEural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prinzler_2023_CVPR, author = {Prinzler, Malte and Hilliges, Otmar and Thies, Justus}, title = {DINER: Depth-Aware Image-Based NEural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12449-12459} }
Burstormer: Burst Image Restoration and Enhancement Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dudhane_2023_CVPR, author = {Dudhane, Akshay and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad Shahbaz and Yang, Ming-Hsuan}, title = {Burstormer: Burst Image Restoration and Enhancement Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5703-5712} }
Progressive Transformation Learning for Leveraging Virtual Images in Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Yi-Ting and Lee, Hyungtae and Kwon, Heesung and Bhattacharyya, Shuvra S.}, title = {Progressive Transformation Learning for Leveraging Virtual Images in Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {835-844} }
Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards-
[pdf]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Mingyang and Zhao, Mengchen and Hou, Yaqing and Li, Minglei and Xu, Huang and Xu, Songcen and Hao, Jianye}, title = {Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2331-2340} }
Reconstructing Signing Avatars From Video Using Linguistic Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Forte_2023_CVPR, author = {Forte, Maria-Paola and Kulits, Peter and Huang, Chun-Hao P. and Choutas, Vasileios and Tzionas, Dimitrios and Kuchenbecker, Katherine J. and Black, Michael J.}, title = {Reconstructing Signing Avatars From Video Using Linguistic Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12791-12801} }
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Chao and Liu, Xinhao and Li, Yiming and Ding, Li and Feng, Chen}, title = {DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9306-9316} }
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Shin_2023_CVPR, author = {Shin, Hyungseob and Kim, Hyeongyu and Kim, Sewon and Jun, Yohan and Eo, Taejoon and Hwang, Dosik}, title = {SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7412-7421} }
DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Hao and Zhang, Rushan and Zhou, Yanning and Wang, Yumeng and Chen, Hao}, title = {DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15641-15650} }
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chatziagapi_2023_CVPR, author = {Chatziagapi, Aggelina and Samaras, Dimitris}, title = {AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16878-16889} }
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Shi and Zhao, Qi}, title = {Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6736-6745} }
Instant Domain Augmentation for LiDAR Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ryu_2023_CVPR, author = {Ryu, Kwonyoung and Hwang, Soonmin and Park, Jaesik}, title = {Instant Domain Augmentation for LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9350-9360} }
A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Haoxuan and Cai, Yujun and Foo, Lin Geng and Kumar, Ajay and Liu, Jun}, title = {A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13009-13018} }
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chowdhury_2023_CVPR, author = {Chowdhury, Pinaki Nath and Bhunia, Ayan Kumar and Sain, Aneeshan and Koley, Subhadeep and Xiang, Tao and Song, Yi-Zhe}, title = {SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10972-10983} }
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer-
[pdf]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Shen and Zhang, Xiaoyu and Chen, Chenyang and Chen, Xiaofeng and Susilo, Willy}, title = {ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20147-20155} }
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Xudong and Li, Wei and Hu, Jie and Chen, Hanting and Wang, Yunhe}, title = {RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8244-8253} }
DATE: Domain Adaptive Product Seeker for E-Commerce-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Haoyuan and Jiang, Hao and Jin, Tao and Li, Mengyan and Chen, Yan and Lin, Zhijie and Zhao, Yang and Zhao, Zhou}, title = {DATE: Domain Adaptive Product Seeker for E-Commerce}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19315-19324} }
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media-
[pdf]
[supp]
[bibtex]@InProceedings{Jeon_2023_CVPR, author = {Jeon, Daniel S. and Meuleman, Andr\'eas and Baek, Seung-Hwan and Kim, Min H.}, title = {Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12353-12362} }
Jedi: Entropy-Based Localization and Removal of Adversarial Patches-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tarchoun_2023_CVPR, author = {Tarchoun, Bilel and Ben Khalifa, Anouar and Mahjoub, Mohamed Ali and Abu-Ghazaleh, Nael and Alouani, Ihsen}, title = {Jedi: Entropy-Based Localization and Removal of Adversarial Patches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4087-4095} }
Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Khan_2023_CVPR, author = {Khan, Abdul Hannan and Nawaz, Mohammed Shariq and Dengel, Andreas}, title = {Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5476-5485} }
Self-Supervised Super-Plane for Neural 3D Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Botao and Liu, Sifei and Li, Xueting and Yang, Ming-Hsuan}, title = {Self-Supervised Super-Plane for Neural 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21415-21424} }
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yihao and Qi, Xianbiao and Wang, Jianan and Zhang, Lei}, title = {DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22648-22657} }
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jianchuan and Yi, Wentao and Ma, Liqian and Jia, Xu and Lu, Huchuan}, title = {GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20648-20658} }
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Bingfan and Yang, Yanchao and Wang, Xulong and Zheng, Youyi and Guibas, Leonidas}, title = {VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {35-45} }
Mobile User Interface Element Detection via Adaptively Prompt Tuning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gu_2023_CVPR, author = {Gu, Zhangxuan and Xu, Zhuoer and Chen, Haoxing and Lan, Jun and Meng, Changhua and Wang, Weiqiang}, title = {Mobile User Interface Element Detection via Adaptively Prompt Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11155-11164} }
Perspective Fields for Single Image Camera Calibration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Linyi and Zhang, Jianming and Hold-Geoffroy, Yannick and Wang, Oliver and Blackburn-Matzen, Kevin and Sticha, Matthew and Fouhey, David F.}, title = {Perspective Fields for Single Image Camera Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17307-17316} }
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nakhli_2023_CVPR, author = {Nakhli, Ramin and Moghadam, Puria Azadi and Mi, Haoyang and Farahani, Hossein and Baras, Alexander and Gilks, Blake and Bashashati, Ali}, title = {Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11547-11557} }
Generating Human Motion From Textual Descriptions With Discrete Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jianrong and Zhang, Yangsong and Cun, Xiaodong and Zhang, Yong and Zhao, Hongwei and Lu, Hongtao and Shen, Xi and Shan, Ying}, title = {Generating Human Motion From Textual Descriptions With Discrete Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14730-14740} }
Spatial-Temporal Concept Based Explanation of 3D ConvNets-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Ying and Wang, Yu and Kato, Jien}, title = {Spatial-Temporal Concept Based Explanation of 3D ConvNets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15444-15453} }
Robust Test-Time Adaptation in Dynamic Scenarios-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2023_CVPR, author = {Yuan, Longhui and Xie, Binhui and Li, Shuang}, title = {Robust Test-Time Adaptation in Dynamic Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15922-15932} }
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Fei and Yang, Peng and Jia, Qi and Nan, Fengtao and Chen, Xiaoting and Yang, Yun}, title = {Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15814-15823} }
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Maiya_2023_CVPR, author = {Maiya, Shishira R. and Girish, Sharath and Ehrlich, Max and Wang, Hanyu and Lee, Kwot Sin and Poirson, Patrick and Wu, Pengxiang and Wang, Chen and Shrivastava, Abhinav}, title = {NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14378-14387} }
Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Mengqi and Mao, Zhendong and Chen, Zhuowei and Zhang, Yongdong}, title = {Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22596-22605} }
Coaching a Teachable Student-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jimuyang and Huang, Zanming and Ohn-Bar, Eshed}, title = {Coaching a Teachable Student}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7805-7815} }
Collaboration Helps Camera Overtake LiDAR in 3D Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Yue and Lu, Yifan and Xu, Runsheng and Xie, Weidi and Chen, Siheng and Wang, Yanfeng}, title = {Collaboration Helps Camera Overtake LiDAR in 3D Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9243-9252} }
RealImpact: A Dataset of Impact Sound Fields for Real Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Clarke_2023_CVPR, author = {Clarke, Samuel and Gao, Ruohan and Wang, Mason and Rau, Mark and Xu, Julia and Wang, Jui-Hsien and James, Doug L. and Wu, Jiajun}, title = {RealImpact: A Dataset of Impact Sound Fields for Real Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1516-1525} }
ReCo: Region-Controlled Text-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zhengyuan and Wang, Jianfeng and Gan, Zhe and Li, Linjie and Lin, Kevin and Wu, Chenfei and Duan, Nan and Liu, Zicheng and Liu, Ce and Zeng, Michael and Wang, Lijuan}, title = {ReCo: Region-Controlled Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14246-14255} }
WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Mengze and Wang, Han and Zhang, Wenqiao and Miao, Jiaxu and Zhao, Zhou and Zhang, Shengyu and Ji, Wei and Wu, Fei}, title = {WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23090-23099} }
Preserving Linear Separability in Continual Learning by Backward Feature Projection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2023_CVPR, author = {Gu, Qiao and Shim, Dongsub and Shkurti, Florian}, title = {Preserving Linear Separability in Continual Learning by Backward Feature Projection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24286-24295} }
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Fan and Han, Zhongyi and Zhang, Zhiyan and He, Rundong and Yin, Yilong}, title = {MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20008-20018} }
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Dongyeun and Lee, Jae Young and Kim, Doyeon and Choi, Jaehyun and Yoo, Jaejun and Kim, Junmo}, title = {Fix the Noise: Disentangling Source Feature for Controllable Domain Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14224-14234} }
Metadata-Based RAW Reconstruction via Implicit Neural Functions-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Leyi and Qiao, Huijie and Ye, Qi and Yang, Qinmin}, title = {Metadata-Based RAW Reconstruction via Implicit Neural Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18196-18205} }
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Hao and Zhu, Jinguo and Jiang, Xiaohu and Zhu, Xizhou and Li, Hongsheng and Yuan, Chun and Wang, Xiaohua and Qiao, Yu and Wang, Xiaogang and Wang, Wenhai and Dai, Jifeng}, title = {Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2691-2700} }
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Linshan and Zhong, Zhun and Fang, Leyuan and He, Xingxin and Liu, Qiang and Ma, Jiayi and Chen, Hao}, title = {Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15454-15464} }
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Zhiqiu and Yu, Samuel and Kuang, Zhiyi and Pathak, Deepak and Ramanan, Deva}, title = {Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19325-19337} }
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Xuehao and Du, Shaoyi and Wu, Yang and Yang, Yang}, title = {Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6451-6460} }
Diversity-Aware Meta Visual Prompting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Qidong and Dong, Xiaoyi and Chen, Dongdong and Zhang, Weiming and Wang, Feifei and Hua, Gang and Yu, Nenghai}, title = {Diversity-Aware Meta Visual Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10878-10887} }
Affection: Learning Affective Explanations for Real-World Visual Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Achlioptas_2023_CVPR, author = {Achlioptas, Panos and Ovsjanikov, Maks and Guibas, Leonidas and Tulyakov, Sergey}, title = {Affection: Learning Affective Explanations for Real-World Visual Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6641-6651} }
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Decatur_2023_CVPR, author = {Decatur, Dale and Lang, Itai and Hanocka, Rana}, title = {3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20930-20939} }
Iterative Geometry Encoding Volume for Stereo Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Gangwei and Wang, Xianqi and Ding, Xiaohuan and Yang, Xin}, title = {Iterative Geometry Encoding Volume for Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21919-21928} }
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Runyu and Yang, Jihan and Xue, Chuhui and Zhang, Wenqing and Bai, Song and Qi, Xiaojuan}, title = {PLA: Language-Driven Open-Vocabulary 3D Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7010-7019} }
FaceLit: Neural 3D Relightable Faces-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ranjan_2023_CVPR, author = {Ranjan, Anurag and Yi, Kwang Moo and Chang, Jen-Hao Rick and Tuzel, Oncel}, title = {FaceLit: Neural 3D Relightable Faces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8619-8628} }
Visual Programming: Compositional Visual Reasoning Without Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gupta_2023_CVPR, author = {Gupta, Tanmay and Kembhavi, Aniruddha}, title = {Visual Programming: Compositional Visual Reasoning Without Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14953-14962} }
InstMove: Instance Motion for Object-Centric Video Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Qihao and Wu, Junfeng and Jiang, Yi and Bai, Xiang and Yuille, Alan L. and Bai, Song}, title = {InstMove: Instance Motion for Object-Centric Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6344-6354} }
Real-Time Evaluation in Online Continual Learning: A New Hope-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghunaim_2023_CVPR, author = {Ghunaim, Yasir and Bibi, Adel and Alhamoud, Kumail and Alfarra, Motasem and Al Kader Hammoud, Hasan Abed and Prabhu, Ameya and Torr, Philip H.S. and Ghanem, Bernard}, title = {Real-Time Evaluation in Online Continual Learning: A New Hope}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11888-11897} }
GRES: Generalized Referring Expression Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Chang and Ding, Henghui and Jiang, Xudong}, title = {GRES: Generalized Referring Expression Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23592-23601} }
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Xiao and Liu, Chang and Xu, Longlong and Wang, Yikai and Dong, Yinpeng and Chen, Ning and Su, Hang and Zhu, Jun}, title = {Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4119-4128} }
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Hyo-Jun and Kim, Hanul and Choi, Su-Min and Jeong, Seong-Gyun and Koh, Yeong Jun}, title = {BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9011-9020} }
Freestyle Layout-to-Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Han and Huang, Zhiwu and Sun, Qianru and Song, Li and Zhang, Wenjun}, title = {Freestyle Layout-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14256-14266} }
Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yiming and Tian, Jinyu and Chen, Xiangyu and Zhou, Jiantao}, title = {Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8123-8132} }
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Mingyu and Shen, Yikang and Fan, Lijie and Chen, Zhenfang and Chen, Zitian and Luo, Ping and Tenenbaum, Joshua B. and Gan, Chuang}, title = {Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14528-14539} }
Differentiable Architecture Search With Random Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xuanyang and Li, Yonggang and Zhang, Xiangyu and Wang, Yongtao and Sun, Jian}, title = {Differentiable Architecture Search With Random Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16060-16069} }
Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Shijie and Chang, Jianlong and Li, Haojie and Wang, Zhihui and Ouyang, Wanli and Tian, Qi}, title = {Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19381-19391} }
Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zexin and Yin, Bangjie and Yao, Taiping and Guo, Junfeng and Ding, Shouhong and Chen, Simin and Liu, Cong}, title = {Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24626-24637} }
Enhanced Stable View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Nishant and Kumar, Suryansh and Van Gool, Luc}, title = {Enhanced Stable View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13208-13217} }
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Takahashi_2023_CVPR, author = {Takahashi, Hideaki and Liu, Jingjing and Liu, Yang}, title = {Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12198-12207} }
TempSAL - Uncovering Temporal Information for Deep Saliency Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Aydemir_2023_CVPR, author = {Aydemir, Bahar and Hoffstetter, Ludo and Zhang, Tong and Salzmann, Mathieu and S\"usstrunk, Sabine}, title = {TempSAL - Uncovering Temporal Information for Deep Saliency Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6461-6470} }
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2023_CVPR, author = {Cui, Zijun and Kuang, Chenyi and Gao, Tian and Talamadupula, Kartik and Ji, Qiang}, title = {Biomechanics-Guided Facial Action Unit Detection Through Force Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8694-8703} }
Equiangular Basis Vectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Yang and Sun, Xuhao and Wei, Xiu-Shen}, title = {Equiangular Basis Vectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11755-11765} }
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramrakhya_2023_CVPR, author = {Ramrakhya, Ram and Batra, Dhruv and Wijmans, Erik and Das, Abhishek}, title = {PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17896-17906} }
Megahertz Light Steering Without Moving Parts-
[pdf]
[supp]
[bibtex]@InProceedings{Pediredla_2023_CVPR, author = {Pediredla, Adithya and Narasimhan, Srinivasa G. and Chamanzar, Maysamreza and Gkioulekas, Ioannis}, title = {Megahertz Light Steering Without Moving Parts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1-12} }
Iterative Proposal Refinement for Weakly-Supervised Video Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Meng and Wei, Fangyun and Xu, Can and Geng, Xiubo and Chen, Long and Zhang, Can and Zou, Yuexian and Shen, Tao and Jiang, Daxin}, title = {Iterative Proposal Refinement for Weakly-Supervised Video Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6524-6534} }
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiafeng and Wen, Ying and He, Lianghua}, title = {SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6153-6162} }
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Hao and Hou, Xianxu and Huang, Zepeng and Shen, Linlin}, title = {StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20960-20969} }
Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Kangkan and Zhang, Guofeng and Cong, Suxu and Yang, Jian}, title = {Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21098-21107} }
NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Mingwu and Zhang, Haiyu and Yang, Hongyu and Huang, Di}, title = {NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16868-16877} }
Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Yoon_2023_CVPR, author = {Yoon, Youngho and Yoon, Kuk-Jin}, title = {Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12428-12438} }
Unified Pose Sequence Modeling-
[pdf]
[bibtex]@InProceedings{Foo_2023_CVPR, author = {Foo, Lin Geng and Li, Tianjiao and Rahmani, Hossein and Ke, Qiuhong and Liu, Jun}, title = {Unified Pose Sequence Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13019-13030} }
Probability-Based Global Cross-Modal Upsampling for Pansharpening-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Zeyu and Cao, Xiangyong and Zhou, Man and Huang, Junhao and Meng, Deyu}, title = {Probability-Based Global Cross-Modal Upsampling for Pansharpening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14039-14048} }
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sarto_2023_CVPR, author = {Sarto, Sara and Barraco, Manuele and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita}, title = {Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6914-6924} }
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yiyou and Liu, Yaojie and Liu, Xiaoming and Li, Yixuan and Chu, Wen-Sheng}, title = {Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24563-24574} }
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation-
[pdf]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Tao and Dong, Qiulei}, title = {SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21307-21316} }
FAC: 3D Representation Learning via Foreground Aware Feature Contrast-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Kangcheng and Xiao, Aoran and Zhang, Xiaoqin and Lu, Shijian and Shao, Ling}, title = {FAC: 3D Representation Learning via Foreground Aware Feature Contrast}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9476-9485} }
Improving Visual Representation Learning Through Perceptual Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tukra_2023_CVPR, author = {Tukra, Samyakh and Hoffman, Frederick and Chatfield, Ken}, title = {Improving Visual Representation Learning Through Perceptual Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14486-14495} }
3D Cinemagraphy From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xingyi and Cao, Zhiguo and Sun, Huiqiang and Zhang, Jianming and Xian, Ke and Lin, Guosheng}, title = {3D Cinemagraphy From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4595-4605} }
Learning Bottleneck Concepts in Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Bowen and Li, Liangzhi and Nakashima, Yuta and Nagahara, Hajime}, title = {Learning Bottleneck Concepts in Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10962-10971} }
Inversion-Based Style Transfer With Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yuxin and Huang, Nisha and Tang, Fan and Huang, Haibin and Ma, Chongyang and Dong, Weiming and Xu, Changsheng}, title = {Inversion-Based Style Transfer With Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10146-10156} }
Learning Human Mesh Recovery in 3D Scenes-
[pdf]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Zehong and Cen, Zhi and Peng, Sida and Shuai, Qing and Bao, Hujun and Zhou, Xiaowei}, title = {Learning Human Mesh Recovery in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17038-17047} }
Learning Locally Editable Virtual Humans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ho_2023_CVPR, author = {Ho, Hsuan-I and Xue, Lixin and Song, Jie and Hilliges, Otmar}, title = {Learning Locally Editable Virtual Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21024-21035} }
Learning Imbalanced Data With Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Zhengzhuo and Liu, Ruikang and Yang, Shuo and Chai, Zenghao and Yuan, Chun}, title = {Learning Imbalanced Data With Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15793-15803} }
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Runqi and Duan, Xiaoyue and Kang, Guoliang and Liu, Jianzhuang and Lin, Shaohui and Xu, Songcen and L\"u, Jinhu and Zhang, Baochang}, title = {AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3654-3663} }
PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Guiwei and Zhang, Yongfei and Zhang, Tianyu and Li, Bo and Pu, Shiliang}, title = {PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14133-14142} }
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pehlivan_2023_CVPR, author = {Pehlivan, Hamza and Dalva, Yusuf and Dundar, Aysegul}, title = {StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1828-1837} }
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Gyeongman and Shim, Hajin and Kim, Hyunsu and Choi, Yunjey and Kim, Junho and Yang, Eunho}, title = {Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6091-6100} }
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Yang and Li, Yongzhi and Yuan, Zehuan and Mu, Yadong}, title = {Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-Commerce}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11060-11069} }
Conditional Text Image Generation With Diffusion Models-
[pdf]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Yuanzhi and Li, Zhaohai and Wang, Tianwei and He, Mengchao and Yao, Cong}, title = {Conditional Text Image Generation With Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14235-14245} }
AnchorFormer: Point Cloud Completion From Discriminative Nodes-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zhikai and Long, Fuchen and Qiu, Zhaofan and Yao, Ting and Zhou, Wengang and Luo, Jiebo and Mei, Tao}, title = {AnchorFormer: Point Cloud Completion From Discriminative Nodes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13581-13590} }
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hengyi and Wang, Jingwen and Agapito, Lourdes}, title = {Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13293-13302} }
SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ruihuang and He, Chenhang and Zhang, Yabin and Li, Shuai and Chen, Liyi and Zhang, Lei}, title = {SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7193-7203} }
Compression-Aware Video Super-Resolution-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yingwei and Isobe, Takashi and Jia, Xu and Tao, Xin and Lu, Huchuan and Tai, Yu-Wing}, title = {Compression-Aware Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2012-2021} }
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jinyu and Luo, Chenxu and Yang, Xiaodong}, title = {PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17567-17576} }
Regularization of Polynomial Networks for Image Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chrysos_2023_CVPR, author = {Chrysos, Grigorios G. and Wang, Bohan and Deng, Jiankang and Cevher, Volkan}, title = {Regularization of Polynomial Networks for Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16123-16132} }
Incremental 3D Semantic Scene Graph Prediction From RGB Sequences-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Shun-Cheng and Tateno, Keisuke and Navab, Nassir and Tombari, Federico}, title = {Incremental 3D Semantic Scene Graph Prediction From RGB Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5064-5074} }
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xinyu and Peng, Houwen and Zheng, Ningxin and Yang, Yuqing and Hu, Han and Yuan, Yixuan}, title = {EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14420-14430} }
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Mengyin and Jiang, Jie and Zhu, Chao and Yin, Xu-Cheng}, title = {VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6662-6671} }
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Hanzhi and Manhardt, Fabian and Navab, Nassir and Busam, Benjamin}, title = {TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4841-4852} }
LINe: Out-of-Distribution Detection by Leveraging Important Neurons-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ahn_2023_CVPR, author = {Ahn, Yong Hyun and Park, Gyeong-Moon and Kim, Seong Tae}, title = {LINe: Out-of-Distribution Detection by Leveraging Important Neurons}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19852-19862} }
DynIBaR: Neural Dynamic Image-Based Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhengqi and Wang, Qianqian and Cole, Forrester and Tucker, Richard and Snavely, Noah}, title = {DynIBaR: Neural Dynamic Image-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4273-4284} }
Unsupervised Object Localization: Observing the Background To Discover Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Simeoni_2023_CVPR, author = {Sim\'eoni, Oriane and Sekkat, Chlo\'e and Puy, Gilles and Vobeck\'y, Anton{\'\i}n and Zablocki, \'Eloi and P\'erez, Patrick}, title = {Unsupervised Object Localization: Observing the Background To Discover Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3176-3186} }
Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zicheng and Liu, Yinglu and Han, Congying and Pan, Yingwei and Guo, Tiande and Yao, Ting}, title = {Transforming Radiance Field With Lipschitz Network for Photorealistic 3D Scene Stylization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20712-20721} }
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ruihao and Qin, Jian and Li, Kaiying and Li, Yaochen and Cao, Dong and Xu, Jintao}, title = {BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1002-1011} }
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Yaqi and Hui, Le and Xie, Jin and Yang, Jian}, title = {Self-Supervised 3D Scene Flow Estimation Guided by Superpoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5271-5280} }
DiffCollage: Parallel Generation of Large Content With Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Qinsheng and Song, Jiaming and Huang, Xun and Chen, Yongxin and Liu, Ming-Yu}, title = {DiffCollage: Parallel Generation of Large Content With Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10188-10198} }
Efficient Second-Order Plane Adjustment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Lipu}, title = {Efficient Second-Order Plane Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13113-13121} }
Guided Depth Super-Resolution by Deep Anisotropic Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Metzger_2023_CVPR, author = {Metzger, Nando and Daudt, Rodrigo Caye and Schindler, Konrad}, title = {Guided Depth Super-Resolution by Deep Anisotropic Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18237-18246} }
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ichikawa_2023_CVPR, author = {Ichikawa, Tomoki and Fukao, Yoshiki and Nobuhara, Shohei and Nishino, Ko}, title = {Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16489-16497} }
A Unified Pyramid Recurrent Network for Video Frame Interpolation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Xin and Wu, Longhai and Chen, Jie and Chen, Youxin and Koo, Jayoon and Hahm, Cheul-hee}, title = {A Unified Pyramid Recurrent Network for Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1578-1587} }
Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dabral_2023_CVPR, author = {Dabral, Rishabh and Mughal, Muhammad Hamza and Golyanik, Vladislav and Theobalt, Christian}, title = {Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9760-9770} }
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Qitao and Zheng, Ce and Liu, Mengyuan and Wang, Pichao and Chen, Chen}, title = {PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8877-8886} }
Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hou_2023_CVPR, author = {Hou, Ji and Dai, Xiaoliang and He, Zijian and Dai, Angela and Nie{\ss}ner, Matthias}, title = {Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13510-13519} }
Physically Adversarial Infrared Patches With Learnable Shapes and Locations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Xingxing and Yu, Jie and Huang, Yao}, title = {Physically Adversarial Infrared Patches With Learnable Shapes and Locations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12334-12342} }
DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wynn_2023_CVPR, author = {Wynn, Jamie and Turmukhambetov, Daniyar}, title = {DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4180-4189} }
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars-
[pdf]
[supp]
[bibtex]@InProceedings{Ishtiak_2023_CVPR, author = {Ishtiak, Taoseef and En, Qing and Guo, Yuhong}, title = {Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15424-15433} }
Multimodal Prompting With Missing Modalities for Visual Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Yi-Lun and Tsai, Yi-Hsuan and Chiu, Wei-Chen and Lee, Chen-Yu}, title = {Multimodal Prompting With Missing Modalities for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14943-14952} }
Edge-Aware Regional Message Passing Controller for Image Forgery Localization-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Dong and Zhu, Jiaying and Wang, Menglu and Liu, Jiawei and Fu, Xueyang and Zha, Zheng-Jun}, title = {Edge-Aware Regional Message Passing Controller for Image Forgery Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8222-8232} }
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xinghan and Xu, Xin and Mu, Yadong}, title = {Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10597-10607} }
Simulated Annealing in Early Layers Leads to Better Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sarfi_2023_CVPR, author = {Sarfi, Amir M. and Karimpour, Zahra and Chaudhary, Muawiz and Khalid, Nasir M. and Ravanelli, Mirco and Mudur, Sudhir and Belilovsky, Eugene}, title = {Simulated Annealing in Early Layers Leads to Better Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20205-20214} }
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Yanhao and Zhang, Tong and Ke, Wei and S\"usstrunk, Sabine and Salzmann, Mathieu}, title = {Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5251-5260} }
Semi-Supervised Learning Made Simple With Self-Supervised Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Fini_2023_CVPR, author = {Fini, Enrico and Astolfi, Pietro and Alahari, Karteek and Alameda-Pineda, Xavier and Mairal, Julien and Nabi, Moin and Ricci, Elisa}, title = {Semi-Supervised Learning Made Simple With Self-Supervised Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3187-3197} }
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Weixia and Zhai, Guangtao and Wei, Ying and Yang, Xiaokang and Ma, Kede}, title = {Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14071-14081} }
Exploring Data Geometry for Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Zhi and Xu, Chen and Li, Feng and Jia, Yunde and Harandi, Mehrtash and Wu, Yuwei}, title = {Exploring Data Geometry for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24325-24334} }
Frequency-Modulated Point Cloud Rendering With Easy Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yi and Huang, Xiaoyang and Ni, Bingbing and Li, Teng and Zhang, Wenjun}, title = {Frequency-Modulated Point Cloud Rendering With Easy Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {119-129} }
Integral Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Solodskikh_2023_CVPR, author = {Solodskikh, Kirill and Kurbanov, Azim and Aydarkhanov, Ruslan and Zhelavskaya, Irina and Parfenov, Yury and Song, Dehua and Lefkimmiatis, Stamatios}, title = {Integral Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16113-16122} }
Learning Neural Parametric Head Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Giebenhain_2023_CVPR, author = {Giebenhain, Simon and Kirschstein, Tobias and Georgopoulos, Markos and R\"unz, Martin and Agapito, Lourdes and Nie{\ss}ner, Matthias}, title = {Learning Neural Parametric Head Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21003-21012} }
Removing Objects From Neural Radiance Fields-
[pdf]
[arXiv]
[bibtex]@InProceedings{Weder_2023_CVPR, author = {Weder, Silvan and Garcia-Hernando, Guillermo and Monszpart, \'Aron and Pollefeys, Marc and Brostow, Gabriel J. and Firman, Michael and Vicente, Sara}, title = {Removing Objects From Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16528-16538} }
Few-Shot Referring Relationships in Videos-
[pdf]
[bibtex]@InProceedings{Kumar_2023_CVPR, author = {Kumar, Yogesh and Mishra, Anand}, title = {Few-Shot Referring Relationships in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2289-2298} }
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Mingfang and Wang, Jinglu and Li, Xiao and Huang, Yifei and Sato, Yoichi and Lu, Yan}, title = {Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16707-16716} }
Harmonious Teacher for Cross-Domain Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Jinhong and Xu, Dongli and Li, Wen and Duan, Lixin}, title = {Harmonious Teacher for Cross-Domain Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23829-23838} }
3D Human Pose Estimation via Intuitive Physics-
[pdf]
[supp]
[bibtex]@InProceedings{Tripathi_2023_CVPR, author = {Tripathi, Shashank and M\"uller, Lea and Huang, Chun-Hao P. and Taheri, Omid and Black, Michael J. and Tzionas, Dimitrios}, title = {3D Human Pose Estimation via Intuitive Physics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4713-4725} }
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Humayun_2023_CVPR, author = {Humayun, Ahmed Imtiaz and Balestriero, Randall and Balakrishnan, Guha and Baraniuk, Richard G.}, title = {SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3789-3798} }
Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data-
[pdf]
[supp]
[bibtex]@InProceedings{Kulkarni_2023_CVPR, author = {Kulkarni, Nilesh and Jin, Linyi and Johnson, Justin and Fouhey, David F.}, title = {Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17256-17265} }
EXCALIBUR: Encouraging and Evaluating Embodied Exploration-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Hao and Kapoor, Raghav and Min, So Yeon and Han, Winson and Li, Jiatai and Geng, Kaiwen and Neubig, Graham and Bisk, Yonatan and Kembhavi, Aniruddha and Weihs, Luca}, title = {EXCALIBUR: Encouraging and Evaluating Embodied Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14931-14942} }
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramtoula_2023_CVPR, author = {Ramtoula, Benjamin and Gadd, Matthew and Newman, Paul and De Martini, Daniele}, title = {Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11113-11123} }
Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chai_2023_CVPR, author = {Chai, Jacky Chen Long and Ng, Tiong-Sik and Low, Cheng-Yaw and Park, Jaewoo and Teoh, Andrew Beng Jin}, title = {Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9957-9967} }
Physical-World Optical Adversarial Attacks on 3D Face Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yanjie and Li, Yiquan and Dai, Xuelong and Guo, Songtao and Xiao, Bin}, title = {Physical-World Optical Adversarial Attacks on 3D Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24699-24708} }
Accelerating Dataset Distillation via Model Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Lei and Zhang, Jie and Lei, Bowen and Mukherjee, Subhabrata and Pan, Xiang and Zhao, Bo and Ding, Caiwen and Li, Yao and Xu, Dongkuan}, title = {Accelerating Dataset Distillation via Model Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11950-11959} }
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence-
[pdf]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Jiacheng and Wang, Chuxin and Lu, Jiahao and He, Jianfeng and Zhang, Tianzhu and Yu, Jiyang and Zhang, Zhe}, title = {SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5364-5373} }
Raw Image Reconstruction With Learned Compact Metadata-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yufei and Yu, Yi and Yang, Wenhan and Guo, Lanqing and Chau, Lap-Pui and Kot, Alex C. and Wen, Bihan}, title = {Raw Image Reconstruction With Learned Compact Metadata}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18206-18215} }
Semi-Supervised Video Inpainting With Cycle Consistency Constraints-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Zhiliang and Xuan, Hanyu and Sun, Changchang and Guan, Weili and Zhang, Kang and Yan, Yan}, title = {Semi-Supervised Video Inpainting With Cycle Consistency Constraints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22586-22595} }
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiqing and Wang, Yuanchen and Liu, Wenxi and Li, Meng and Bai, Jinpeng and Yin, Baocai and Yang, Xin}, title = {Frame-Event Alignment and Fusion Network for High Frame Rate Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9781-9790} }
A Bag-of-Prototypes Representation for Dataset-Level Applications-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2023_CVPR, author = {Tu, Weijie and Deng, Weijian and Gedeon, Tom and Zheng, Liang}, title = {A Bag-of-Prototypes Representation for Dataset-Level Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2881-2892} }
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Yuxi and Xue, Nan and Wu, Tianfu and Xia, Gui-Song}, title = {Level-S\${\textasciicircum}2\$fM: Structure From Motion on Neural Level Set of Implicit Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17205-17214} }
Neuron Structure Modeling for Generalizable Remote Physiological Measurement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Hao and Yu, Zitong and Niu, Xuesong and Chen, Ying-Cong}, title = {Neuron Structure Modeling for Generalizable Remote Physiological Measurement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18589-18599} }
Shape-Aware Text-Driven Layered Video Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Yao-Chih and Jang, Ji-Ze Genevieve and Chen, Yi-Ting and Qiu, Elizabeth and Huang, Jia-Bin}, title = {Shape-Aware Text-Driven Layered Video Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14317-14326} }
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Zesen and Qiao, Pengchong and Li, Kehan and Li, Siheng and Wei, Pengxu and Ji, Xiangyang and Yuan, Li and Liu, Chang and Chen, Jie}, title = {Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23673-23684} }
Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kolmogorov_2023_CVPR, author = {Kolmogorov, Vladimir}, title = {Solving Relaxations of MAP-MRF Problems: Combinatorial In-Face Frank-Wolfe Directions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11980-11989} }
MEGANE: Morphable Eyeglass and Avatar Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Junxuan and Saito, Shunsuke and Simon, Tomas and Lombardi, Stephen and Li, Hongdong and Saragih, Jason}, title = {MEGANE: Morphable Eyeglass and Avatar Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12769-12779} }
Leverage Interactive Affinity for Affordance Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Hongchen and Zhai, Wei and Zhang, Jing and Cao, Yang and Tao, Dacheng}, title = {Leverage Interactive Affinity for Affordance Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6809-6819} }
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeong_2023_CVPR, author = {Jeong, Jongheon and Yu, Sihyun and Lee, Hankook and Shin, Jinwoo}, title = {Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16206-16218} }
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Hang and Yan, Xuejun and Wang, Jingjing and Xie, Di and Pu, Shiliang}, title = {Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9486-9495} }
Objaverse: A Universe of Annotated 3D Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deitke_2023_CVPR, author = {Deitke, Matt and Schwenk, Dustin and Salvador, Jordi and Weihs, Luca and Michel, Oscar and VanderBilt, Eli and Schmidt, Ludwig and Ehsani, Kiana and Kembhavi, Aniruddha and Farhadi, Ali}, title = {Objaverse: A Universe of Annotated 3D Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13142-13153} }
MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Yunsong and Zhu, Hongzi and Liu, Quan and Chang, Shan and Guo, Minyi}, title = {MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17493-17503} }
Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Che_2023_CVPR, author = {Che, Haoxuan and Chen, Siyu and Chen, Hao}, title = {Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19819-19829} }
A-Cap: Anticipation Captioning With Commonsense Knowledge-
[pdf]
[supp]
[bibtex]@InProceedings{Vo_2023_CVPR, author = {Vo, Duc Minh and Luong, Quoc-An and Sugimoto, Akihiro and Nakayama, Hideki}, title = {A-Cap: Anticipation Captioning With Commonsense Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10824-10833} }
Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Renrui and Wang, Liuhui and Qiao, Yu and Gao, Peng and Li, Hongsheng}, title = {Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21769-21780} }
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Chenyu and Chen, Yuntao and Tian, Hao and Tao, Chenxin and Zhu, Xizhou and Zhang, Zhaoxiang and Huang, Gao and Li, Hongyang and Qiao, Yu and Lu, Lewei and Zhou, Jie and Dai, Jifeng}, title = {BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17830-17839} }
Object Discovery From Motion-Guided Tokens-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2023_CVPR, author = {Bao, Zhipeng and Tokmakov, Pavel and Wang, Yu-Xiong and Gaidon, Adrien and Hebert, Martial}, title = {Object Discovery From Motion-Guided Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22972-22981} }
Domain Generalized Stereo Matching via Hierarchical Visual Transformation-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Tianyu and Yang, Xun and Zhang, Tianzhu and Wang, Meng}, title = {Domain Generalized Stereo Matching via Hierarchical Visual Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9559-9568} }
Deep Semi-Supervised Metric Learning With Mixed Label Propagation-
[pdf]
[bibtex]@InProceedings{Zhuang_2023_CVPR, author = {Zhuang, Furen and Moulin, Pierre}, title = {Deep Semi-Supervised Metric Learning With Mixed Label Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3429-3438} }
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yaoming and Shi, Bowen and Zhang, Xiaopeng and Li, Jin and Liu, Yuchen and Dai, Wenrui and Li, Chenglin and Xiong, Hongkai and Tian, Qi}, title = {Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15965-15974} }
Unpaired Image-to-Image Translation With Shortest Path Regularization-
[pdf]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Shaoan and Xu, Yanwu and Gong, Mingming and Zhang, Kun}, title = {Unpaired Image-to-Image Translation With Shortest Path Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10177-10187} }
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Chiyu {\textquotedblleft}Max{\textquotedblright} and Cornman, Andre and Park, Cheolho and Sapp, Benjamin and Zhou, Yin and Anguelov, Dragomir}, title = {MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9644-9653} }
OVTrack: Open-Vocabulary Multiple Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Siyuan and Fischer, Tobias and Ke, Lei and Ding, Henghui and Danelljan, Martin and Yu, Fisher}, title = {OVTrack: Open-Vocabulary Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5567-5577} }
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Woo_2023_CVPR, author = {Woo, Sanghyun and Debnath, Shoubhik and Hu, Ronghang and Chen, Xinlei and Liu, Zhuang and Kweon, In So and Xie, Saining}, title = {ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16133-16142} }
Hyperspherical Embedding for Point Cloud Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Junming and Zhang, Haomeng and Vasudevan, Ram and Johnson-Roberson, Matthew}, title = {Hyperspherical Embedding for Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5323-5332} }
Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Taewoo and Chae, Yujeong and Jang, Hyun-Kurl and Yoon, Kuk-Jin}, title = {Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18032-18042} }
Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Taeyong and Kim, Sunok and Sohn, Kwanghoon}, title = {Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13672-13680} }
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Siyu and An, Jie and Wei, Donglai and Luo, Jiebo and Pfister, Hanspeter}, title = {QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5947-5956} }
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ziquan and Xu, Yi and Ji, Xiangyang and Chan, Antoni B.}, title = {TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16436-16446} }
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Yufan and Wang, Fangjinhua and Zhang, Tong and Pollefeys, Marc and S\"usstrunk, Sabine}, title = {VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16685-16695} }
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Luting and Liu, Yi and Du, Penghui and Ding, Zihan and Liao, Yue and Qi, Qiaosong and Chen, Biaolong and Liu, Si}, title = {Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11186-11196} }
Evolved Part Masking for Self-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Zhanzhou and Zhang, Shiliang}, title = {Evolved Part Masking for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10386-10395} }
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Runsen and Wang, Tai and Zhang, Wenwei and Chen, Runjian and Cao, Jinkun and Pang, Jiangmiao and Lin, Dahua}, title = {MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13445-13454} }
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Han and Wu, Yuhao and Yu, Zhiyuan and Vorobeychik, Yevgeniy and Zhang, Ning}, title = {SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5146-5155} }
Learning a Sparse Transformer Network for Effective Image Deraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xiang and Li, Hao and Li, Mingqiang and Pan, Jinshan}, title = {Learning a Sparse Transformer Network for Effective Image Deraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5896-5905} }
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jianan and Dong, Qiulei}, title = {Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9425-9434} }
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Zeyu and Liu, Yutong and Gao, Ruisheng and Xiong, Zhiwei}, title = {CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1672-1682} }
Learning Attention As Disentangler for Compositional Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hao_2023_CVPR, author = {Hao, Shaozhe and Han, Kai and Wong, Kwan-Yee K.}, title = {Learning Attention As Disentangler for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15315-15324} }
DA-DETR: Domain Adaptive Detection Transformer With Information Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jingyi and Huang, Jiaxing and Luo, Zhipeng and Zhang, Gongjie and Zhang, Xiaoqin and Lu, Shijian}, title = {DA-DETR: Domain Adaptive Detection Transformer With Information Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23787-23798} }
Energy-Efficient Adaptive 3D Sensing-
[pdf]
[supp]
[bibtex]@InProceedings{Tilmon_2023_CVPR, author = {Tilmon, Brevin and Sun, Zhanghao and Koppal, Sanjeev J. and Wu, Yicheng and Evangelidis, Georgios and Zahreddine, Ramzi and Krishnan, Gurunandan and Ma, Sizhuo and Wang, Jian}, title = {Energy-Efficient Adaptive 3D Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5054-5063} }
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability-
[pdf]
[supp]
[bibtex]@InProceedings{Boutros_2023_CVPR, author = {Boutros, Fadi and Fang, Meiling and Klemt, Marcel and Fu, Biying and Damer, Naser}, title = {CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5836-5845} }
Endpoints Weight Fusion for Class Incremental Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Jia-Wen and Zhang, Chang-Bin and Feng, Jiekang and Liu, Xialei and van de Weijer, Joost and Cheng, Ming-Ming}, title = {Endpoints Weight Fusion for Class Incremental Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7204-7213} }
GeneCIS: A Benchmark for General Conditional Image Similarity-
[pdf]
[supp]
[bibtex]@InProceedings{Vaze_2023_CVPR, author = {Vaze, Sagar and Carion, Nicolas and Misra, Ishan}, title = {GeneCIS: A Benchmark for General Conditional Image Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6862-6872} }
MetaViewer: Towards a Unified Multi-View Representation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ren and Sun, Haoliang and Ma, Yuling and Xi, Xiaoming and Yin, Yilong}, title = {MetaViewer: Towards a Unified Multi-View Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11590-11599} }
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zicheng and Wu, Wei and Sun, Wei and Tu, Danyang and Lu, Wei and Min, Xiongkuo and Chen, Ying and Zhai, Guangtao}, title = {MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1746-1755} }
Vision Transformers Are Good Mask Auto-Labelers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lan_2023_CVPR, author = {Lan, Shiyi and Yang, Xitong and Yu, Zhiding and Wu, Zuxuan and Alvarez, Jose M. and Anandkumar, Anima}, title = {Vision Transformers Are Good Mask Auto-Labelers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23745-23755} }
Neural Transformation Fields for Arbitrary-Styled Font Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Bin and He, Junjun and Wang, Jianjun and Qiao, Yu}, title = {Neural Transformation Fields for Arbitrary-Styled Font Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22438-22447} }
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mehl_2023_CVPR, author = {Mehl, Lukas and Schmalfuss, Jenny and Jahedi, Azin and Nalivayko, Yaroslava and Bruhn, Andr\'es}, title = {Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4981-4991} }
EDICT: Exact Diffusion Inversion via Coupled Transformations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wallace_2023_CVPR, author = {Wallace, Bram and Gokul, Akash and Naik, Nikhil}, title = {EDICT: Exact Diffusion Inversion via Coupled Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22532-22541} }
Natural Language-Assisted Sign Language Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zuo_2023_CVPR, author = {Zuo, Ronglai and Wei, Fangyun and Mak, Brian}, title = {Natural Language-Assisted Sign Language Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14890-14900} }
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Ronald and Pang, Kuan and Bader, Gary D. and Wang, Bo}, title = {MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3292-3301} }
Learning Semantic Relationship Among Instances for Image-Text Matching-
[pdf]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Zheren and Mao, Zhendong and Song, Yan and Zhang, Yongdong}, title = {Learning Semantic Relationship Among Instances for Image-Text Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15159-15168} }
AeDet: Azimuth-Invariant Multi-View 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Chengjian and Jie, Zequn and Zhong, Yujie and Chu, Xiangxiang and Ma, Lin}, title = {AeDet: Azimuth-Invariant Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21580-21588} }
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ryu_2023_CVPR, author = {Ryu, Jeongun and Puche, Aaron Valero and Shin, JaeWoong and Park, Seonwook and Brattoli, Biagio and Lee, Jinhee and Jung, Wonkyung and Cho, Soo Ick and Paeng, Kyunghyun and Ock, Chan-Young and Yoo, Donggeun and Pereira, S\'ergio}, title = {OCELOT: Overlapped Cell on Tissue Dataset for Histopathology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23902-23912} }
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Xiaolong and Yang, Zongxin and Wang, Xiaohan and Ma, Jianxin and Zhou, Chang and Yang, Yi}, title = {Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8887-8896} }
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Black_2023_CVPR, author = {Black, Michael J. and Patel, Priyanka and Tesch, Joachim and Yang, Jinlong}, title = {BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8726-8737} }
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mahmoud_2023_CVPR, author = {Mahmoud, Anas and Hu, Jordan S. K. and Kuai, Tianshu and Harakeh, Ali and Paull, Liam and Waslander, Steven L.}, title = {Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7102-7110} }
ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nassar_2023_CVPR, author = {Nassar, Islam and Hayat, Munawar and Abbasnejad, Ehsan and Rezatofighi, Hamid and Haffari, Gholamreza}, title = {ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11641-11650} }
Image Super-Resolution Using T-Tetromino Pixels-
[pdf]
[bibtex]@InProceedings{Grosche_2023_CVPR, author = {Grosche, Simon and Regensky, Andy and Seiler, J\"urgen and Kaup, Andr\'e}, title = {Image Super-Resolution Using T-Tetromino Pixels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9989-9998} }
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Zhengxi and Yang, Yuxue and Zhai, Xiaolin and Yang, Dingye and Zhou, Bohan and Liu, Jingtai}, title = {GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8907-8916} }
Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Shun and Xu, Zhengqin and Wu, Shiqian and Xie, Shoulie}, title = {Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1348-1357} }
VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs-
[pdf]
[supp]
[bibtex]@InProceedings{Fruhstuck_2023_CVPR, author = {Fr\"uhst\"uck, Anna and Sarafianos, Nikolaos and Xu, Yuanlu and Wonka, Peter and Tung, Tony}, title = {VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4446-4455} }
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Guangyi and Chen, Zhenhao and Fan, Shunxing and Zhang, Kun}, title = {Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17874-17884} }
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Jennifer J. and Karashchuk, Lili and Dravid, Amil and Ryou, Serim and Fereidooni, Sonia and Tuthill, John C. and Katsaggelos, Aggelos and Brunton, Bingni W. and Gkioxari, Georgia and Kennedy, Ann and Yue, Yisong and Perona, Pietro}, title = {BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9001-9010} }
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Kunhao and Zhan, Fangneng and Chen, Yiwen and Zhang, Jiahui and Yu, Yingchen and El Saddik, Abdulmotaleb and Lu, Shijian and Xing, Eric P.}, title = {StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8338-8348} }
Accidental Light Probes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Hong-Xing and Agarwala, Samir and Herrmann, Charles and Szeliski, Richard and Snavely, Noah and Wu, Jiajun and Sun, Deqing}, title = {Accidental Light Probes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12521-12530} }
Iterative Vision-and-Language Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Krantz_2023_CVPR, author = {Krantz, Jacob and Banerjee, Shurjo and Zhu, Wang and Corso, Jason and Anderson, Peter and Lee, Stefan and Thomason, Jesse}, title = {Iterative Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14921-14930} }
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2023_CVPR, author = {Pang, Youxin and Zhang, Yong and Quan, Weize and Fan, Yanbo and Cun, Xiaodong and Shan, Ying and Yan, Dong-Ming}, title = {DPE: Disentanglement of Pose and Expression for General Video Portrait Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {427-436} }
Adversarial Counterfactual Visual Explanations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeanneret_2023_CVPR, author = {Jeanneret, Guillaume and Simon, Lo{\"\i}c and Jurie, Fr\'ed\'eric}, title = {Adversarial Counterfactual Visual Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16425-16435} }
MaLP: Manipulation Localization Using a Proactive Scheme-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Asnani_2023_CVPR, author = {Asnani, Vishal and Yin, Xi and Hassner, Tal and Liu, Xiaoming}, title = {MaLP: Manipulation Localization Using a Proactive Scheme}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12343-12352} }
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Schramowski_2023_CVPR, author = {Schramowski, Patrick and Brack, Manuel and Deiseroth, Bj\"orn and Kersting, Kristian}, title = {Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22522-22531} }
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Ruan_2023_CVPR, author = {Ruan, Ludan and Ma, Yiyang and Yang, Huan and He, Huiguo and Liu, Bei and Fu, Jianlong and Yuan, Nicholas Jing and Jin, Qin and Guo, Baining}, title = {MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10219-10228} }
HexPlane: A Fast Representation for Dynamic Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Ang and Johnson, Justin}, title = {HexPlane: A Fast Representation for Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {130-141} }
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yuhao and Tan, Xin and Zhao, Borui and Chen, Zhaowei and Song, Renjie and Liang, Jiajun and Lu, Xuequan}, title = {Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7548-7557} }
Novel-View Acoustic Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Changan and Richard, Alexander and Shapovalov, Roman and Ithapu, Vamsi Krishna and Neverova, Natalia and Grauman, Kristen and Vedaldi, Andrea}, title = {Novel-View Acoustic Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6409-6419} }
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Zhuo and Zhu, Miaoxi and Xia, Xiaobo and Shen, Li and Yu, Jun and Gong, Chen and Han, Bo and Du, Bo and Liu, Tongliang}, title = {Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16175-16185} }
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Tao and Xu, Xiaogang and Liu, Shu and Jia, Jiaya}, title = {Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8349-8358} }
Superclass Learning With Representation Enhancement-
[pdf]
[supp]
[bibtex]@InProceedings{Gan_2023_CVPR, author = {Gan, Zeyu and Zhao, Suyun and Kang, Jinlong and Shang, Liyuan and Chen, Hong and Li, Cuiping}, title = {Superclass Learning With Representation Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24060-24069} }
Visual Prompt Tuning for Generative Transfer Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sohn_2023_CVPR, author = {Sohn, Kihyuk and Chang, Huiwen and Lezama, Jos\'e and Polania, Luisa and Zhang, Han and Hao, Yuan and Essa, Irfan and Jiang, Lu}, title = {Visual Prompt Tuning for Generative Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19840-19851} }
NICO++: Towards Better Benchmarking for Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xingxuan and He, Yue and Xu, Renzhe and Yu, Han and Shen, Zheyan and Cui, Peng}, title = {NICO++: Towards Better Benchmarking for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16036-16047} }
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Jianlong and Yang, Haozhe and Gan, Tian and Ding, Ning and Jiang, Feijun and Nie, Liqiang}, title = {CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15762-15772} }
Neural Dependencies Emerging From Learning Massive Categories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Ruili and Zheng, Kecheng and Zhu, Kai and Shen, Yujun and Zhao, Jian and Huang, Yukun and Zhao, Deli and Zhou, Jingren and Jordan, Michael and Zha, Zheng-Jun}, title = {Neural Dependencies Emerging From Learning Massive Categories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11711-11720} }
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects-
[pdf]
[arXiv]
[bibtex]@InProceedings{Toschi_2023_CVPR, author = {Toschi, Marco and De Matteo, Riccardo and Spezialetti, Riccardo and De Gregorio, Daniele and Di Stefano, Luigi and Salti, Samuele}, title = {ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20762-20772} }
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Zicong and Taheri, Omid and Tzionas, Dimitrios and Kocabas, Muhammed and Kaufmann, Manuel and Black, Michael J. and Hilliges, Otmar}, title = {ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12943-12954} }
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking-
[pdf]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Xiongbiao}, title = {Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4747-4756} }
MAGVIT: Masked Generative Video Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Lijun and Cheng, Yong and Sohn, Kihyuk and Lezama, Jos\'e and Zhang, Han and Chang, Huiwen and Hauptmann, Alexander G. and Yang, Ming-Hsuan and Hao, Yuan and Essa, Irfan and Jiang, Lu}, title = {MAGVIT: Masked Generative Video Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10459-10469} }
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Chenyang and de Geus, Daan and Dubbelman, Gijs}, title = {Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23631-23640} }
Toward Accurate Post-Training Quantization for Image Super Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Tu_2023_CVPR, author = {Tu, Zhijun and Hu, Jie and Chen, Hanting and Wang, Yunhe}, title = {Toward Accurate Post-Training Quantization for Image Super Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5856-5865} }
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Fangqiang and Palffy, Andras and Gavrila, Dariu M. and Lu, Chris Xiaoxuan}, title = {Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9340-9349} }
OmniMAE: Single Model Masked Pretraining on Images and Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Girdhar_2023_CVPR, author = {Girdhar, Rohit and El-Nouby, Alaaeldin and Singh, Mannat and Alwala, Kalyan Vasudev and Joulin, Armand and Misra, Ishan}, title = {OmniMAE: Single Model Masked Pretraining on Images and Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10406-10417} }
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video-
[pdf]
[supp]
[bibtex]@InProceedings{Suhail_2023_CVPR, author = {Suhail, Mohammed and Lu, Erika and Li, Zhengqi and Snavely, Noah and Sigal, Leonid and Cole, Forrester}, title = {Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {630-639} }
Real-Time Neural Light Field on Mobile Devices-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Junli and Wang, Huan and Chemerys, Pavlo and Shakhrai, Vladislav and Hu, Ju and Fu, Yun and Makoviichuk, Denys and Tulyakov, Sergey and Ren, Jian}, title = {Real-Time Neural Light Field on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8328-8337} }
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class-
[pdf]
[bibtex]@InProceedings{Shang_2023_CVPR, author = {Shang, Chao and Li, Hongliang and Meng, Fanman and Wu, Qingbo and Qiu, Heqian and Wang, Lanxiao}, title = {Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7214-7224} }
End-to-End Video Matting With Trimap Propagation-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Wei-Lun and Lee, Ming-Sui}, title = {End-to-End Video Matting With Trimap Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14337-14347} }
DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Qiangqiang and Yang, Tianyu and Liu, Ziquan and Wu, Baoyuan and Shan, Ying and Chan, Antoni B.}, title = {DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14561-14571} }
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning-
[pdf]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Wei and Liang, Renjie and Zheng, Zhedong and Zhang, Wenqiao and Zhang, Shengyu and Li, Juncheng and Li, Mengze and Chua, Tat-seng}, title = {Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23013-23022} }
High-Fidelity Clothed Avatar Reconstruction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Tingting and Zhang, Xiaomei and Xiu, Yuliang and Yi, Hongwei and Liu, Xudong and Qi, Guo-Jun and Zhang, Yong and Wang, Xuan and Zhu, Xiangyu and Lei, Zhen}, title = {High-Fidelity Clothed Avatar Reconstruction From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8662-8672} }
Zero-Shot Object Counting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jingyi and Le, Hieu and Nguyen, Vu and Ranjan, Viresh and Samaras, Dimitris}, title = {Zero-Shot Object Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15548-15557} }
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Jinjing and Bai, Haotian and Wang, Lin}, title = {Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3561-3571} }
Implicit Diffusion Models for Continuous Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Sicheng and Liu, Xuhui and Zeng, Bohan and Xu, Sheng and Li, Yanjing and Luo, Xiaoyan and Liu, Jianzhuang and Zhen, Xiantong and Zhang, Baochang}, title = {Implicit Diffusion Models for Continuous Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10021-10030} }
VGFlow: Visibility Guided Flow Network for Human Reposing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Rishabh and Singh, Krishna Kumar and Hemani, Mayur and Lu, Jingwan and Sarkar, Mausoom and Ceylan, Duygu and Krishnamurthy, Balaji}, title = {VGFlow: Visibility Guided Flow Network for Human Reposing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21088-21097} }
Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Yi and Da, Feipeng}, title = {Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13354-13363} }
Improving Selective Visual Question Answering by Learning From Your Peers-
[pdf]
[supp]
[bibtex]@InProceedings{Dancette_2023_CVPR, author = {Dancette, Corentin and Whitehead, Spencer and Maheshwary, Rishabh and Vedantam, Ramakrishna and Scherer, Stefan and Chen, Xinlei and Cord, Matthieu and Rohrbach, Marcus}, title = {Improving Selective Visual Question Answering by Learning From Your Peers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24049-24059} }
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Juntian and Zheng, Qingyuan and Fang, Lixing and Liu, Yun and Yi, Li}, title = {CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {585-594} }
Neural Lens Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Xian_2023_CVPR, author = {Xian, Wenqi and Bo\v{z}i\v{c}, Alja\v{z} and Snavely, Noah and Lassner, Christoph}, title = {Neural Lens Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8435-8445} }
CoralStyleCLIP: Co-Optimized Region and Layer Selection for Image Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Revanur_2023_CVPR, author = {Revanur, Ambareesh and Basu, Debraj and Agrawal, Shradha and Agarwal, Dhwanit and Pai, Deepak}, title = {CoralStyleCLIP: Co-Optimized Region and Layer Selection for Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12695-12704} }
GLeaD: Improving GANs With a Generator-Leading Task-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Qingyan and Yang, Ceyuan and Xu, Yinghao and Liu, Xihui and Yang, Yujiu and Shen, Yujun}, title = {GLeaD: Improving GANs With a Generator-Leading Task}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12094-12104} }
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tao_2023_CVPR, author = {Tao, Ming and Bao, Bing-Kun and Tang, Hao and Xu, Changsheng}, title = {GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14214-14223} }
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Alloulah_2023_CVPR, author = {Alloulah, Mohammed and Arnold, Maximilian}, title = {Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17430-17440} }
Multiplicative Fourier Level of Detail-
[pdf]
[supp]
[bibtex]@InProceedings{Dou_2023_CVPR, author = {Dou, Yishun and Zheng, Zhong and Jin, Qiaoqiao and Ni, Bingbing}, title = {Multiplicative Fourier Level of Detail}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1808-1817} }
Indiscernible Object Counting in Underwater Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Guolei and An, Zhaochong and Liu, Yun and Liu, Ce and Sakaridis, Christos and Fan, Deng-Ping and Van Gool, Luc}, title = {Indiscernible Object Counting in Underwater Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13791-13801} }
Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Jiawei and Wu, Ancong and Zheng, Wei-Shi}, title = {Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22752-22761} }
Relational Context Learning for Human-Object Interaction Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sanghyun and Jung, Deunsol and Cho, Minsu}, title = {Relational Context Learning for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2925-2934} }
Low-Light Image Enhancement via Structure Modeling and Guidance-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Xiaogang and Wang, Ruixing and Lu, Jiangbo}, title = {Low-Light Image Enhancement via Structure Modeling and Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9893-9903} }
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Dongdong and Gong, Boqing and Wang, Liqiang}, title = {On Calibrating Semantic Segmentation Models: Analyses and an Algorithm}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23652-23662} }
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Takashima_2023_CVPR, author = {Takashima, Sora and Hayamizu, Ryo and Inoue, Nakamasa and Kataoka, Hirokatsu and Yokota, Rio}, title = {Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18579-18588} }
Multi-Label Compound Expression Recognition: C-EXPR Database & Network-
[pdf]
[supp]
[bibtex]@InProceedings{Kollias_2023_CVPR, author = {Kollias, Dimitrios}, title = {Multi-Label Compound Expression Recognition: C-EXPR Database \& Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5589-5598} }
Masked Autoencoding Does Not Help Natural Language Supervision at Scale-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Weers_2023_CVPR, author = {Weers, Floris and Shankar, Vaishaal and Katharopoulos, Angelos and Yang, Yinfei and Gunter, Tom}, title = {Masked Autoencoding Does Not Help Natural Language Supervision at Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23432-23444} }
CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Xiaoshi and Zhu, Feng and Zhao, Rui and Li, Hongsheng}, title = {CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7031-7040} }
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abdal_2023_CVPR, author = {Abdal, Rameen and Lee, Hsin-Ying and Zhu, Peihao and Chai, Menglei and Siarohin, Aliaksandr and Wonka, Peter and Tulyakov, Sergey}, title = {3DAvatarGAN: Bridging Domains for Personalized Editable Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4552-4562} }
Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Su_2023_CVPR, author = {Su, Kun and Qian, Kaizhi and Shlizerman, Eli and Torralba, Antonio and Gan, Chuang}, title = {Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9749-9759} }
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Hao and Koniusz, Piotr}, title = {Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23996-24006} }
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Long and Han, Junwei and Zhang, Ni and Liu, Nian and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Fahad Shahbaz}, title = {Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7247-7256} }
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Michaeli_2023_CVPR, author = {Michaeli, Hagay and Michaeli, Tomer and Soudry, Daniel}, title = {Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16333-16342} }
Binary Latent Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ze and Wang, Jiang and Liu, Zicheng and Qiu, Qiang}, title = {Binary Latent Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22576-22585} }
Person Image Synthesis via Denoising Diffusion Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2023_CVPR, author = {Bhunia, Ankan Kumar and Khan, Salman and Cholakkal, Hisham and Anwer, Rao Muhammad and Laaksonen, Jorma and Shah, Mubarak and Khan, Fahad Shahbaz}, title = {Person Image Synthesis via Denoising Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5968-5976} }
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Binder_2023_CVPR, author = {Binder, Alexander and Weber, Leander and Lapuschkin, Sebastian and Montavon, Gr\'egoire and M\"uller, Klaus-Robert and Samek, Wojciech}, title = {Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16143-16152} }
Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans-
[pdf]
[supp]
[bibtex]@InProceedings{Bokhovkin_2023_CVPR, author = {Bokhovkin, Aleksei and Dai, Angela}, title = {Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9032-9042} }
Adaptive Assignment for Geometry Aware Local Feature Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Dihe and Chen, Ying and Liu, Yong and Liu, Jianlin and Xu, Shang and Wu, Wenlong and Ding, Yikang and Tang, Fan and Wang, Chengjie}, title = {Adaptive Assignment for Geometry Aware Local Feature Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5425-5434} }
Initialization Noise in Image Gradients and Saliency Maps-
[pdf]
[supp]
[bibtex]@InProceedings{Woerl_2023_CVPR, author = {Woerl, Ann-Christin and Disselhoff, Jan and Wand, Michael}, title = {Initialization Noise in Image Gradients and Saliency Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1766-1775} }
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Yansong and Liu, Jinpeng and Liu, Aoyang and Yang, Bin and Dai, Wenxun and Rao, Yongming and Lu, Jiwen and Zhou, Jie and Li, Xiu}, title = {FLAG3D: A 3D Fitness Activity Dataset With Language Instruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22106-22117} }
Implicit Neural Head Synthesis via Controllable Local Deformation Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Chuhan and O{\textquoteright}Toole, Matthew and Bharaj, Gaurav and Garrido, Pablo}, title = {Implicit Neural Head Synthesis via Controllable Local Deformation Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {416-426} }
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Long_2023_CVPR, author = {Long, Xiaoxiao and Lin, Cheng and Liu, Lingjie and Liu, Yuan and Wang, Peng and Theobalt, Christian and Komura, Taku and Wang, Wenping}, title = {NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20834-20843} }
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Siyuan and Yu, Zhen and Zhang, Xuelin and Mahapatra, Dwarikanath and Chandra, Shekhar S. and Janda, Monika and Soyer, Peter and Ge, Zongyuan}, title = {Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11568-11577} }
Curricular Object Manipulation in LiDAR-Based Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Ziyue and Meng, Qiang and Wang, Xiao and Wang, Ke and Yan, Liujiang and Yang, Jian}, title = {Curricular Object Manipulation in LiDAR-Based Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1125-1135} }
Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Zihang and Tan, Chaolei and Hu, Jian-Fang and Jin, Zhi and Ye, Tiancai and Zheng, Wei-Shi}, title = {Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23100-23109} }
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation-
[pdf]
[bibtex]@InProceedings{Hai_2023_CVPR, author = {Hai, Yang and Song, Rui and Li, Jiaojiao and Hu, Yinlin}, title = {Shape-Constraint Recurrent Flow for 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4831-4840} }
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Ce and Mendieta, Matias and Yang, Taojiannan and Qi, Guo-Jun and Chen, Chen}, title = {FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13945-13954} }
Micron-BERT: BERT-Based Facial Micro-Expression Recognition-
[pdf]
[bibtex]@InProceedings{Nguyen_2023_CVPR, author = {Nguyen, Xuan-Bac and Duong, Chi Nhan and Li, Xin and Gauch, Susan and Seo, Han-Seok and Luu, Khoa}, title = {Micron-BERT: BERT-Based Facial Micro-Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1482-1492} }
Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Yubo and Gao, Dahua and Qiu, Tian and Li, Yuyan and Yang, Minxi and Shi, Guangming}, title = {Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22262-22271} }
Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark-
[pdf]
[arXiv]
[bibtex]@InProceedings{Niu_2023_CVPR, author = {Niu, Muyao and Li, Zhuoxiao and Zhong, Zhihang and Zheng, Yinqiang}, title = {Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13976-13985} }
PanelNet: Understanding 360 Indoor Environment via Panel Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Haozheng and He, Lu and Jian, Bing and Feng, Weiwei and Liu, Shan}, title = {PanelNet: Understanding 360 Indoor Environment via Panel Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {878-887} }
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2023_CVPR, author = {Tu, Yuanpeng and Zhang, Boshen and Li, Yuxi and Liu, Liang and Li, Jian and Zhang, Jiangning and Wang, Yabiao and Wang, Chengjie and Zhao, Cai Rong}, title = {Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16186-16195} }
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Qihao and Kortylewski, Adam and Yuille, Alan L.}, title = {PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {672-681} }
GamutMLP: A Lightweight MLP for Color Loss Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_2023_CVPR, author = {Le, Hoang M. and Price, Brian and Cohen, Scott and Brown, Michael S.}, title = {GamutMLP: A Lightweight MLP for Color Loss Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18268-18277} }
Instance-Aware Domain Generalization for Face Anti-Spoofing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Qianyu and Zhang, Ke-Yue and Yao, Taiping and Lu, Xuequan and Yi, Ran and Ding, Shouhong and Ma, Lizhuang}, title = {Instance-Aware Domain Generalization for Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20453-20463} }
GANHead: Towards Generative Animatable Neural Head Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Sijing and Yan, Yichao and Li, Yunhao and Cheng, Yuhao and Zhu, Wenhan and Gao, Ke and Li, Xiaobo and Zhai, Guangtao}, title = {GANHead: Towards Generative Animatable Neural Head Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {437-447} }
Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Shuo and Zhao, Xinhai and Xu, Hai-Ming and Chen, Zehui and Yu, Dameng and Chang, Jiahao and Yang, Zhen and Zhao, Feng}, title = {Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13333-13342} }
Robust and Scalable Gaussian Process Regression and Its Applications-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Yifan and Ma, Jiayi and Fang, Leyuan and Tian, Xin and Jiang, Junjun}, title = {Robust and Scalable Gaussian Process Regression and Its Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21950-21959} }
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision-
[pdf]
[bibtex]@InProceedings{Ming_2023_CVPR, author = {Ming, Qi and Miao, Lingjuan and Ma, Zhe and Zhao, Lin and Zhou, Zhiqiang and Huang, Xuhui and Chen, Yuanpei and Guo, Yufei}, title = {Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5136-5145} }
Doubly Right Object Recognition: A Why Prompt for Visual Rationales-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mao_2023_CVPR, author = {Mao, Chengzhi and Teotia, Revant and Sundar, Amrutha and Menon, Sachit and Yang, Junfeng and Wang, Xin and Vondrick, Carl}, title = {Doubly Right Object Recognition: A Why Prompt for Visual Rationales}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2722-2732} }
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Jinwoo and Choi, Janghyuk and Choi, Ho-Jin and Kim, Seon Joo}, title = {Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19198-19207} }
High-Fidelity Event-Radiance Recovery via Transient Event Frequency-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Jin and Asano, Yuta and Shi, Boxin and Zheng, Yinqiang and Sato, Imari}, title = {High-Fidelity Event-Radiance Recovery via Transient Event Frequency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20616-20625} }
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Kuan-Chieh and Weng, Zhenzhen and Xenochristou, Maria and Ara\'ujo, Jo\~ao Pedro and Gu, Jeffrey and Liu, Karen and Yeung, Serena}, title = {NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22129-22138} }
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Han and Wu, Yuhao and Zhai, Shixuan and Yuan, Bo and Zhang, Ning}, title = {RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20585-20594} }
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction-
[pdf]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Jeff and Yang, Gengshan and Ramanan, Deva}, title = {Distilling Neural Fields for Real-Time Articulated Shape Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4692-4701} }
GLIGEN: Open-Set Grounded Text-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yuheng and Liu, Haotian and Wu, Qingyang and Mu, Fangzhou and Yang, Jianwei and Gao, Jianfeng and Li, Chunyuan and Lee, Yong Jae}, title = {GLIGEN: Open-Set Grounded Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22511-22521} }
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!-
[pdf]
[bibtex]@InProceedings{Khan_2023_CVPR, author = {Khan, Zaid and BG, Vijay Kumar and Schulter, Samuel and Yu, Xiang and Fu, Yun and Chandraker, Manmohan}, title = {Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15005-15015} }
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Dekai and Zhai, Guangyao and Di, Yan and Manhardt, Fabian and Berkemeyer, Hendrik and Tran, Tuan and Navab, Nassir and Tombari, Federico and Busam, Benjamin}, title = {IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5507-5516} }
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zifan and Ding, Nan and Levinboim, Tomer and Chen, Xi and Soricut, Radu}, title = {Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16458-16468} }
MobileOne: An Improved One Millisecond Mobile Backbone-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vasu_2023_CVPR, author = {Vasu, Pavan Kumar Anasosalu and Gabriel, James and Zhu, Jeff and Tuzel, Oncel and Ranjan, Anurag}, title = {MobileOne: An Improved One Millisecond Mobile Backbone}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7907-7917} }
A Data-Based Perspective on Transfer Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Saachi and Salman, Hadi and Khaddaj, Alaa and Wong, Eric and Park, Sung Min and M\k{a}dry, Aleksander}, title = {A Data-Based Perspective on Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3613-3622} }
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Ohkawa_2023_CVPR, author = {Ohkawa, Takehiko and He, Kun and Sener, Fadime and Hodan, Tomas and Tran, Luan and Keskin, Cem}, title = {AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12999-13008} }
Scene-Aware Egocentric 3D Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jian and Luvizon, Diogo and Xu, Weipeng and Liu, Lingjie and Sarkar, Kripasindhu and Theobalt, Christian}, title = {Scene-Aware Egocentric 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13031-13040} }
Learning Geometry-Aware Representations by Sketching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Hyundo and Hwang, Inwoo and Go, Hyunsung and Choi, Won-Seok and Kim, Kibeom and Zhang, Byoung-Tak}, title = {Learning Geometry-Aware Representations by Sketching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23315-23326} }
SVFormer: Semi-Supervised Video Transformer for Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xing_2023_CVPR, author = {Xing, Zhen and Dai, Qi and Hu, Han and Chen, Jingjing and Wu, Zuxuan and Jiang, Yu-Gang}, title = {SVFormer: Semi-Supervised Video Transformer for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18816-18826} }
X-Avatar: Expressive Human Avatars-
[pdf]
[supp]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Kaiyue and Guo, Chen and Kaufmann, Manuel and Zarate, Juan Jose and Valentin, Julien and Song, Jie and Hilliges, Otmar}, title = {X-Avatar: Expressive Human Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16911-16921} }
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Juncheol and Yeo, Hyunho and Park, Jinwoo and Han, Dongsu}, title = {AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18216-18226} }
BEV-Guided Multi-Modality Fusion for Driving Perception-
[pdf]
[supp]
[bibtex]@InProceedings{Man_2023_CVPR, author = {Man, Yunze and Gui, Liang-Yan and Wang, Yu-Xiong}, title = {BEV-Guided Multi-Modality Fusion for Driving Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21960-21969} }
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Hwang_2023_CVPR, author = {Hwang, Minyoung and Jeong, Jaeyeon and Kim, Minsoo and Oh, Yoonseon and Oh, Songhwai}, title = {Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6683-6693} }
Proximal Splitting Adversarial Attack for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rony_2023_CVPR, author = {Rony, J\'er\^ome and Pesquet, Jean-Christophe and Ben Ayed, Ismail}, title = {Proximal Splitting Adversarial Attack for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20524-20533} }
Improved Test-Time Adaptation for Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Liang and Zhang, Yong and Song, Yibing and Shan, Ying and Liu, Lingqiao}, title = {Improved Test-Time Adaptation for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24172-24182} }
Recovering 3D Hand Mesh Sequence From a Single Blurry Image: A New Dataset and Temporal Unfolding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Oh_2023_CVPR, author = {Oh, Yeonguk and Park, JoonKyu and Kim, Jaeha and Moon, Gyeongsik and Lee, Kyoung Mu}, title = {Recovering 3D Hand Mesh Sequence From a Single Blurry Image: A New Dataset and Temporal Unfolding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {554-563} }
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramakrishnan_2023_CVPR, author = {Ramakrishnan, Santhosh Kumar and Al-Halah, Ziad and Grauman, Kristen}, title = {NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6694-6703} }
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yixuan and Zhao, Dongyang and Yin, Zhangyue and Huang, Yiwen and Gui, Tao and Zhang, Wenqiang and Ge, Weifeng}, title = {Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17787-17796} }
Adjustment and Alignment for Unbiased Open Set Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Wuyang and Liu, Jie and Han, Bo and Yuan, Yixuan}, title = {Adjustment and Alignment for Unbiased Open Set Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24110-24119} }
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Miao_2023_CVPR, author = {Miao, Jiaxu and Yang, Zongxin and Fan, Leilei and Yang, Yi}, title = {FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8042-8052} }
NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Seung Wook and Brown, Bradley and Yin, Kangxue and Kreis, Karsten and Schwarz, Katja and Li, Daiqing and Rombach, Robin and Torralba, Antonio and Fidler, Sanja}, title = {NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8496-8506} }
DPF: Learning Dense Prediction Fields With Weak Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xiaoxue and Zheng, Yuhang and Zheng, Yupeng and Zhou, Qiang and Zhao, Hao and Zhou, Guyue and Zhang, Ya-Qin}, title = {DPF: Learning Dense Prediction Fields With Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15347-15357} }
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Wei and Choy, Christopher and Loop, Charles and Litany, Or and Zhu, Yuke and Anandkumar, Anima}, title = {Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4263-4272} }
Thermal Spread Functions (TSF): Physics-Guided Material Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dashpute_2023_CVPR, author = {Dashpute, Aniket and Saragadam, Vishwanath and Alexander, Emma and Willomitzer, Florian and Katsaggelos, Aggelos and Veeraraghavan, Ashok and Cossairt, Oliver}, title = {Thermal Spread Functions (TSF): Physics-Guided Material Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1641-1650} }
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Johari_2023_CVPR, author = {Johari, Mohammad Mahdi and Carta, Camilla and Fleuret, Fran\c{c}ois}, title = {ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17408-17419} }
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset-
[pdf]
[supp]
[bibtex]@InProceedings{Gan_2023_CVPR, author = {Gan, Tian and Wang, Qing and Dong, Xingning and Ren, Xiangyuan and Nie, Liqiang and Guo, Qingpei}, title = {CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14815-14824} }
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions-
[pdf]
[supp]
[bibtex]@InProceedings{Meunier_2023_CVPR, author = {Meunier, Etienne and Bouthemy, Patrick}, title = {Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22139-22148} }
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Pang_2023_CVPR, author = {Pang, Bo and Xia, Hongchi and Lu, Cewu}, title = {Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5229-5239} }
iDisc: Internal Discretization for Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Piccinelli_2023_CVPR, author = {Piccinelli, Luigi and Sakaridis, Christos and Yu, Fisher}, title = {iDisc: Internal Discretization for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21477-21487} }
Balancing Logit Variation for Long-Tailed Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuchao and Fei, Jingjing and Wang, Haochen and Li, Wei and Bao, Tianpeng and Wu, Liwei and Zhao, Rui and Shen, Yujun}, title = {Balancing Logit Variation for Long-Tailed Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19561-19573} }
Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sato_2023_CVPR, author = {Sato, Fumiaki and Hachiuma, Ryo and Sekii, Taiki}, title = {Prompt-Guided Zero-Shot Anomaly Action Recognition Using Pretrained Deep Skeleton Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6471-6480} }
iQuery: Instruments As Queries for Audio-Visual Sound Separation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jiaben and Zhang, Renrui and Lian, Dongze and Yang, Jiaqi and Zeng, Ziyao and Shi, Jianbo}, title = {iQuery: Instruments As Queries for Audio-Visual Sound Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14675-14686} }
Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Jeonghwan and Gwon, Mi-Gyeong and Park, Hyunwoo and Kwon, Hyukmin and Um, Gi-Mun and Kim, Wonjun}, title = {Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12880-12889} }
Efficient Multimodal Fusion via Interactive Prompting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yaowei and Quan, Ruijie and Zhu, Linchao and Yang, Yi}, title = {Efficient Multimodal Fusion via Interactive Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2604-2613} }
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, MyeongAh and Kim, Minjung and Hwang, Sangwon and Park, Chaewon and Lee, Kyungjae and Lee, Sangyoun}, title = {Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12137-12146} }
Depth Estimation From Indoor Panoramas With Neural Scene Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Wenjie and Zhang, Yueyi and Xiong, Zhiwei}, title = {Depth Estimation From Indoor Panoramas With Neural Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {899-908} }
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Honglin and Zhu, Chenglu and Zhang, Yunlong and Sun, Yuxuan and Shui, Zhongyi and Kuang, Wenwei and Zheng, Sunyi and Yang, Lin}, title = {Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7454-7463} }
Detecting Everything in the Open World: Towards Universal Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhenyu and Li, Yali and Chen, Xi and Lim, Ser-Nam and Torralba, Antonio and Zhao, Hengshuang and Wang, Shengjin}, title = {Detecting Everything in the Open World: Towards Universal Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11433-11443} }
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ce and Kumar, Suryansh and Gu, Shuhang and Timofte, Radu and Van Gool, Luc}, title = {Single Image Depth Prediction Made Better: A Multivariate Gaussian Take}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17346-17356} }
NUWA-LIP: Language-Guided Image Inpainting With Defect-Free VQGAN-
[pdf]
[supp]
[bibtex]@InProceedings{Ni_2023_CVPR, author = {Ni, Minheng and Li, Xiaoming and Zuo, Wangmeng}, title = {NUWA-LIP: Language-Guided Image Inpainting With Defect-Free VQGAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14183-14192} }
One-Shot Model for Mixed-Precision Quantization-
[pdf]
[supp]
[bibtex]@InProceedings{Koryakovskiy_2023_CVPR, author = {Koryakovskiy, Ivan and Yakovleva, Alexandra and Buchnev, Valentin and Isaev, Temur and Odinokikh, Gleb}, title = {One-Shot Model for Mixed-Precision Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7939-7949} }
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Zhixi and Ghosh, Shreya and Stefanov, Kalin and Dhall, Abhinav and Cai, Jianfei and Rezatofighi, Hamid and Haffari, Reza and Hayat, Munawar}, title = {MARLIN: Masked Autoencoder for Facial Video Representation LearnINg}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1493-1504} }
Language Adaptive Weight Generation for Multi-Task Visual Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Su_2023_CVPR, author = {Su, Wei and Miao, Peihan and Dou, Huanzhang and Wang, Gaoang and Qiao, Liang and Li, Zheyang and Li, Xi}, title = {Language Adaptive Weight Generation for Multi-Task Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10857-10866} }
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mo_2023_CVPR, author = {Mo, Clinton A. and Hu, Kun and Long, Chengjiang and Wang, Zhiyong}, title = {Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13894-13903} }
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Chang and Ding, Jian and Wang, Jinwang and Yang, Wen and Yu, Huai and Yu, Lei and Xia, Gui-Song}, title = {Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7318-7328} }
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lyu_2023_CVPR, author = {Lyu, Zhaoyang and Wang, Jinyi and An, Yuwei and Zhang, Ya and Lin, Dahua and Dai, Bo}, title = {Controllable Mesh Generation Through Sparse Latent Point Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {271-280} }
Query-Centric Trajectory Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Zikang and Wang, Jianping and Li, Yung-Hui and Huang, Yu-Kai}, title = {Query-Centric Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17863-17873} }
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Junhao and Moosavi-Dezfooli, Seyed-Mohsen and Lai, Jianhuang and Xie, Xiaohua}, title = {The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24678-24687} }
Look Before You Match: Instance Understanding Matters in Video Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Junke and Chen, Dongdong and Wu, Zuxuan and Luo, Chong and Tang, Chuanxin and Dai, Xiyang and Zhao, Yucheng and Xie, Yujia and Yuan, Lu and Jiang, Yu-Gang}, title = {Look Before You Match: Instance Understanding Matters in Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2268-2278} }
SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Wen and Yu, Shangshu and Wang, Cheng and Hu, Guosheng and Shen, Siqi and Wen, Chenglu}, title = {SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9286-9295} }
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Min and Gao, Weizhuo and Liu, Gaoyang and Peng, Kai and Wang, Chen}, title = {Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7766-7775} }
Bridging Search Region Interaction With Template for RGB-T Tracking-
[pdf]
[bibtex]@InProceedings{Hui_2023_CVPR, author = {Hui, Tianrui and Xun, Zizheng and Peng, Fengguang and Huang, Junshi and Wei, Xiaoming and Wei, Xiaolin and Dai, Jiao and Han, Jizhong and Liu, Si}, title = {Bridging Search Region Interaction With Template for RGB-T Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13630-13639} }
Indescribable Multi-Modal Spatial Evaluator-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Lingke and Qi, X. Sharon and Shen, Qijin and Wang, Jiacheng and Zhang, Jingyi and Hu, Yanle and Zhou, Qichao}, title = {Indescribable Multi-Modal Spatial Evaluator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9853-9862} }
ImageBind: One Embedding Space To Bind Them All-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Girdhar_2023_CVPR, author = {Girdhar, Rohit and El-Nouby, Alaaeldin and Liu, Zhuang and Singh, Mannat and Alwala, Kalyan Vasudev and Joulin, Armand and Misra, Ishan}, title = {ImageBind: One Embedding Space To Bind Them All}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15180-15190} }
Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Heng and Li, Shumeng and Qi, Lei and Yu, Qian and Shi, Yinghuan and Gao, Yang}, title = {Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3302-3311} }
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Kun and Li, Wenbo and Han, Xiaoguang and Lu, Jiangbo}, title = {Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22169-22179} }
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Shuxuan and Hu, Yinlin and Alvarez, Jose M. and Salzmann, Mathieu}, title = {Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18633-18642} }
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Yun-Hao and Sun, Peiqin and Zhou, Shuchang}, title = {Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15742-15751} }
Adaptive Annealing for Robust Geometric Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Sidhartha_2023_CVPR, author = {Sidhartha, Chitturi and Manam, Lalit and Govindu, Venu Madhav}, title = {Adaptive Annealing for Robust Geometric Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21929-21939} }
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection-
[pdf]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Wenda and Xie, Shigeng and Zhao, Fan and He, You and Lu, Huchuan}, title = {MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13955-13965} }
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Miaoyu and Liu, Ji and Fu, Ying and Zhang, Yulun and Dou, Dejing}, title = {Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5805-5814} }
End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve-
[pdf]
[supp]
[bibtex]@InProceedings{Qiao_2023_CVPR, author = {Qiao, Limeng and Ding, Wenjie and Qiu, Xi and Zhang, Chi}, title = {End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13218-13228} }
PointListNet: Deep Learning on 3D Point Lists-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Hehe and Zhu, Linchao and Yang, Yi and Kankanhalli, Mohan}, title = {PointListNet: Deep Learning on 3D Point Lists}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17692-17701} }
On Data Scaling in Masked Image Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Zhenda and Zhang, Zheng and Cao, Yue and Lin, Yutong and Wei, Yixuan and Dai, Qi and Hu, Han}, title = {On Data Scaling in Masked Image Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10365-10374} }
Upcycling Models Under Domain and Category Shift-
[pdf]
[supp]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Sanqing and Zou, Tianpei and R\"ohrbein, Florian and Lu, Cewu and Chen, Guang and Tao, Dacheng and Jiang, Changjun}, title = {Upcycling Models Under Domain and Category Shift}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20019-20028} }
Single Domain Generalization for LiDAR Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Hyeonseong and Kang, Yoonsu and Oh, Changgyoon and Yoon, Kuk-Jin}, title = {Single Domain Generalization for LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17587-17598} }
Balanced Energy Regularization Loss for Out-of-Distribution Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Hyunjun and Jeong, Hawook and Choi, Jin Young}, title = {Balanced Energy Regularization Loss for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15691-15700} }
3D-Aware Face Swapping-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yixuan and Ma, Chao and Yan, Yichao and Zhu, Wenhan and Yang, Xiaokang}, title = {3D-Aware Face Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12705-12714} }
UMat: Uncertainty-Aware Single Image High Resolution Material Capture-
[pdf]
[bibtex]@InProceedings{Rodriguez-Pardo_2023_CVPR, author = {Rodriguez-Pardo, Carlos and Dom{\'\i}nguez-Elvira, Henar and Pascual-Hern\'andez, David and Garces, Elena}, title = {UMat: Uncertainty-Aware Single Image High Resolution Material Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5764-5774} }
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding-
[pdf]
[bibtex]@InProceedings{Shaharabany_2023_CVPR, author = {Shaharabany, Tal and Wolf, Lior}, title = {Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6925-6934} }
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lang_2023_CVPR, author = {Lang, Itai and Aiger, Dror and Cole, Forrester and Avidan, Shai and Rubinstein, Michael}, title = {SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5281-5290} }
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Marrie_2023_CVPR, author = {Marrie, Juliette and Arbel, Michael and Larlus, Diane and Mairal, Julien}, title = {SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24306-24314} }
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xingxuan and Xu, Renzhe and Yu, Han and Zou, Hao and Cui, Peng}, title = {Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20247-20257} }
Phone2Proc: Bringing Robust Robots Into Our Chaotic World-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deitke_2023_CVPR, author = {Deitke, Matt and Hendrix, Rose and Farhadi, Ali and Ehsani, Kiana and Kembhavi, Aniruddha}, title = {Phone2Proc: Bringing Robust Robots Into Our Chaotic World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9665-9675} }
Latency Matters: Real-Time Action Forecasting Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Girase_2023_CVPR, author = {Girase, Harshayu and Agarwal, Nakul and Choi, Chiho and Mangalam, Karttikeya}, title = {Latency Matters: Real-Time Action Forecasting Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18759-18769} }
HierVL: Learning Hierarchical Video-Language Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ashutosh_2023_CVPR, author = {Ashutosh, Kumar and Girdhar, Rohit and Torresani, Lorenzo and Grauman, Kristen}, title = {HierVL: Learning Hierarchical Video-Language Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23066-23078} }
GraVoS: Voxel Selection for 3D Point-Cloud Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shrout_2023_CVPR, author = {Shrout, Oren and Ben-Shabat, Yizhak and Tal, Ayellet}, title = {GraVoS: Voxel Selection for 3D Point-Cloud Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21684-21693} }
Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Stathopoulos_2023_CVPR, author = {Stathopoulos, Anastasis and Pavlakos, Georgios and Han, Ligong and Metaxas, Dimitris N.}, title = {Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13092-13101} }
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective-
[pdf]
[supp]
[bibtex]@InProceedings{Gou_2023_CVPR, author = {Gou, Yuanbiao and Hu, Peng and Lv, Jiancheng and Zhu, Hongyuan and Peng, Xi}, title = {Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14327-14336} }
RobustNeRF: Ignoring Distractors With Robust Losses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sabour_2023_CVPR, author = {Sabour, Sara and Vora, Suhani and Duckworth, Daniel and Krasin, Ivan and Fleet, David J. and Tagliasacchi, Andrea}, title = {RobustNeRF: Ignoring Distractors With Robust Losses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20626-20636} }
Spherical Transformer for LiDAR-Based 3D Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lai_2023_CVPR, author = {Lai, Xin and Chen, Yukang and Lu, Fanbin and Liu, Jianhui and Jia, Jiaya}, title = {Spherical Transformer for LiDAR-Based 3D Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17545-17555} }
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes-
[pdf]
[supp]
[bibtex]@InProceedings{Ju_2023_CVPR, author = {Ju, Xuan and Zeng, Ailing and Wang, Jianan and Xu, Qiang and Zhang, Lei}, title = {Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {618-629} }
Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2023_CVPR, author = {Hong, Joanna and Kim, Minsu and Choi, Jeongsoo and Ro, Yong Man}, title = {Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18783-18794} }
Turning a CLIP Model Into a Scene Text Detector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Wenwen and Liu, Yuliang and Hua, Wei and Jiang, Deqiang and Ren, Bo and Bai, Xiang}, title = {Turning a CLIP Model Into a Scene Text Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6978-6988} }
VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Huiyu and Mao, Wei and Liu, Miaomiao}, title = {VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17317-17326} }
SCOTCH and SODA: A Transformer Video Shadow Detection Framework-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Lihao and Prost, Jean and Zhu, Lei and Papadakis, Nicolas and Li\`o, Pietro and Sch\"onlieb, Carola-Bibiane and Aviles-Rivero, Angelica I.}, title = {SCOTCH and SODA: A Transformer Video Shadow Detection Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10449-10458} }
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Tengfei and Zhang, Bo and Zhang, Ting and Gu, Shuyang and Bao, Jianmin and Baltrusaitis, Tadas and Shen, Jingjing and Chen, Dong and Wen, Fang and Chen, Qifeng and Guo, Baining}, title = {RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4563-4573} }
On the Pitfall of Mixup for Uncertainty Calibration-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Deng-Bao and Li, Lanqing and Zhao, Peilin and Heng, Pheng-Ann and Zhang, Min-Ling}, title = {On the Pitfall of Mixup for Uncertainty Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7609-7618} }
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Zhou and Dai, Hang and Xiang, Tian-Zhu and Wang, Shuo and Chen, Huai-Xin and Qin, Jie and Xiong, Huan}, title = {Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5557-5566} }
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Min and Huang, Zihao and Ma, Xianzheng and Hu, Xiaowei and Cao, Zhiguo}, title = {Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7308-7317} }
High-Fidelity Guided Image Synthesis With Latent Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2023_CVPR, author = {Singh, Jaskirat and Gould, Stephen and Zheng, Liang}, title = {High-Fidelity Guided Image Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5997-6006} }
CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xing_2023_CVPR, author = {Xing, Jinbo and Xia, Menghan and Zhang, Yuechen and Cun, Xiaodong and Wang, Jue and Wong, Tien-Tsin}, title = {CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12780-12790} }
Towards Transferable Targeted Adversarial Examples-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhibo and Yang, Hongshan and Feng, Yunhe and Sun, Peng and Guo, Hengchang and Zhang, Zhifei and Ren, Kui}, title = {Towards Transferable Targeted Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20534-20543} }
Semi-Supervised Parametric Real-World Image Harmonization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ke and Gharbi, Micha\"el and Zhang, He and Xia, Zhihao and Shechtman, Eli}, title = {Semi-Supervised Parametric Real-World Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5927-5936} }
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Karim_2023_CVPR, author = {Karim, Nazmul and Mithun, Niluthpol Chowdhury and Rajvanshi, Abhinav and Chiu, Han-pang and Samarasekera, Supun and Rahnavard, Nazanin}, title = {C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24120-24131} }
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Ruichen and Li, Peng and Wang, Haoqian and Yu, Tao}, title = {Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {216-226} }
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2023_CVPR, author = {Ge, Yunhao and Ren, Jie and Gallagher, Andrew and Wang, Yuxiao and Yang, Ming-Hsuan and Adam, Hartwig and Itti, Laurent and Lakshminarayanan, Balaji and Zhao, Jiaping}, title = {Improving Zero-Shot Generalization and Robustness of Multi-Modal Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11093-11101} }
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Yong and Stutz, David and Schiele, Bernt}, title = {Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4108-4118} }
VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2023_CVPR, author = {Xia, Zeqing and Xiong, Bojun and Lian, Zhouhui}, title = {VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1848-1857} }
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Chenhang and Li, Ruihuang and Zhang, Yabin and Li, Shuai and Zhang, Lei}, title = {MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5196-5205} }
Modeling the Distributional Uncertainty for Salient Object Detection Models-
[pdf]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Xinyu and Zhang, Jing and Xiang, Mochu and Dai, Yuchao}, title = {Modeling the Distributional Uncertainty for Salient Object Detection Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19660-19670} }
Kernel Aware Resampler-
[pdf]
[supp]
[bibtex]@InProceedings{Bernasconi_2023_CVPR, author = {Bernasconi, Michael and Djelouah, Abdelaziz and Salehi, Farnood and Gross, Markus and Schroers, Christopher}, title = {Kernel Aware Resampler}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22347-22355} }
LaserMix for Semi-Supervised LiDAR Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Lingdong and Ren, Jiawei and Pan, Liang and Liu, Ziwei}, title = {LaserMix for Semi-Supervised LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21705-21715} }
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Smith_2023_CVPR, author = {Smith, James Seale and Karlinsky, Leonid and Gutta, Vyshnavi and Cascante-Bonilla, Paola and Kim, Donghyun and Arbelle, Assaf and Panda, Rameswar and Feris, Rogerio and Kira, Zsolt}, title = {CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11909-11919} }
HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Sijie and Kang, Qiyu and She, Rui and Wang, Wei and Zhao, Kai and Song, Yang and Tay, Wee Peng}, title = {HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5176-5185} }
Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Siqi and Cui, Xuanning and Zhu, Yongjie and Tang, Jiajun and Li, Si and Yu, Zhaofei and Shi, Boxin}, title = {Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16600-16609} }
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Wenzheng and Xiao, Yang and Wei, Sicheng and Gan, Jinfang and Zhang, Xintao and Cao, Zhiguo and Fang, Zhiwen and Zhou, Joey Tianyi}, title = {Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13854-13863} }
Category Query Learning for Human-Object Interaction Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Chi and Zeng, Fangao and Hu, Yue and Liang, Shuang and Wei, Yichen}, title = {Category Query Learning for Human-Object Interaction Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15275-15284} }
MDQE: Mining Discriminative Query Embeddings To Segment Occluded Instances on Challenging Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Minghan and Li, Shuai and Xiang, Wangmeng and Zhang, Lei}, title = {MDQE: Mining Discriminative Query Embeddings To Segment Occluded Instances on Challenging Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10524-10533} }
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xiaofeng and Zhu, Zheng and Zhang, Yunpeng and Huang, Guan and Ye, Yun and Xu, Wenbo and Chen, Ziwei and Wang, Xingang}, title = {Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9600-9610} }
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Chunlu and Morel-Forster, Andreas and Vetter, Thomas and Egger, Bernhard and Kortylewski, Adam}, title = {Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {372-381} }
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Mengqi and Mao, Zhendong and Wang, Quan and Zhang, Yongdong}, title = {Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2002-2011} }
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Rui and Chen, Dongdong and Wu, Zuxuan and Chen, Yinpeng and Dai, Xiyang and Liu, Mengchen and Yuan, Lu and Jiang, Yu-Gang}, title = {Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6312-6322} }
Transformer-Based Unified Recognition of Two Hands Manipulating Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Hoseong and Kim, Chanwoo and Kim, Jihyeon and Lee, Seongyeong and Ismayilzada, Elkhan and Baek, Seungryul}, title = {Transformer-Based Unified Recognition of Two Hands Manipulating Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4769-4778} }
Azimuth Super-Resolution for FMCW Radar in Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yu-Jhe and Hunt, Shawn and Park, Jinhyung and O{\textquoteright}Toole, Matthew and Kitani, Kris}, title = {Azimuth Super-Resolution for FMCW Radar in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17504-17513} }
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hanlin and Wu, Yilu and Guo, Sheng and Wang, Limin}, title = {PDPP:Projected Diffusion for Procedure Planning in Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14836-14845} }
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ando_2023_CVPR, author = {Ando, Angelika and Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud}, title = {RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5240-5250} }
ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Lan and Mittal, Gaurav and Sajeev, Sandra and Yu, Ye and Hall, Matthew and Boddeti, Vishnu Naresh and Chen, Mei}, title = {ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6575-6585} }
VQACL: A Novel Visual Question Answering Continual Learning Setting-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xi and Zhang, Feifei and Xu, Changsheng}, title = {VQACL: A Novel Visual Question Answering Continual Learning Setting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19102-19112} }
Efficient Map Sparsification Based on 2D and 3D Discretized Grids-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xiaoyu and Liu, Yun-Hui}, title = {Efficient Map Sparsification Based on 2D and 3D Discretized Grids}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12470-12478} }
High-Res Facial Appearance Capture From Polarized Smartphone Images-
[pdf]
[supp]
[bibtex]@InProceedings{Azinovic_2023_CVPR, author = {Azinovi\'c, Dejan and Maury, Olivier and Hery, Christophe and Nie{\ss}ner, Matthias and Thies, Justus}, title = {High-Res Facial Appearance Capture From Polarized Smartphone Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16836-16846} }
JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xi and Courant, Robin and Shi, Jinglei and Marchand, Eric and Christie, Marc}, title = {JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16933-16942} }
Class Attention Transfer Based Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Ziyao and Yan, Haonan and Li, Hui and Lin, Xiaodong}, title = {Class Attention Transfer Based Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11868-11877} }
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Lishun and Cao, Miao and Yuan, Xin}, title = {EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18477-18486} }
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Yunqing and Du, Chao and Abdollahzadeh, Milad and Pang, Tianyu and Lin, Min and Yan, Shuicheng and Cheung, Ngai-Man}, title = {Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7380-7391} }
Temporally Consistent Online Depth Estimation Using Point-Based Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khan_2023_CVPR, author = {Khan, Numair and Penner, Eric and Lanman, Douglas and Xiao, Lei}, title = {Temporally Consistent Online Depth Estimation Using Point-Based Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9119-9129} }
Generalizable Implicit Neural Representations via Instance Pattern Composers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Chiheon and Lee, Doyup and Kim, Saehoon and Cho, Minsu and Han, Wook-Shin}, title = {Generalizable Implicit Neural Representations via Instance Pattern Composers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11808-11817} }
MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Zheng and Zhou, Sanping and Wang, Le and Duan, Jinghai and Hua, Gang and Tang, Wei}, title = {MotionTrack: Learning Robust Short-Term and Long-Term Motions for Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17939-17948} }
3D Registration With Maximal Cliques-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xiyu and Yang, Jiaqi and Zhang, Shikun and Zhang, Yanning}, title = {3D Registration With Maximal Cliques}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17745-17754} }
What Can Human Sketches Do for Object Detection?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chowdhury_2023_CVPR, author = {Chowdhury, Pinaki Nath and Bhunia, Ayan Kumar and Sain, Aneeshan and Koley, Subhadeep and Xiang, Tao and Song, Yi-Zhe}, title = {What Can Human Sketches Do for Object Detection?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15083-15094} }
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2023_CVPR, author = {Zhong, Weizhi and Fang, Chaowei and Cai, Yinqi and Wei, Pengxu and Zhao, Gangming and Lin, Liang and Li, Guanbin}, title = {Identity-Preserving Talking Face Generation With Landmark and Appearance Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9729-9738} }
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations-
[pdf]
[supp]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Dongwon and Lee, Byung Hyun and Chun, Se Young}, title = {All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5815-5824} }
Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Hongrun and Burrows, Liam and Meng, Yanda and Sculthorpe, Declan and Mukherjee, Abhik and Coupland, Sarah E. and Chen, Ke and Zheng, Yalin}, title = {Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15630-15640} }
Efficient RGB-T Tracking via Cross-Modality Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Tianlu and Guo, Hongyuan and Jiao, Qiang and Zhang, Qiang and Han, Jungong}, title = {Efficient RGB-T Tracking via Cross-Modality Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5404-5413} }
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Bowen and Qi, Chenyang and Zhang, Pan and Zhang, Bo and Wu, HsiangTao and Chen, Dong and Chen, Qifeng and Wang, Yong and Wen, Fang}, title = {MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22096-22105} }
UniHCP: A Unified Model for Human-Centric Perceptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ci_2023_CVPR, author = {Ci, Yuanzheng and Wang, Yizhou and Chen, Meilin and Tang, Shixiang and Bai, Lei and Zhu, Feng and Zhao, Rui and Yu, Fengwei and Qi, Donglian and Ouyang, Wanli}, title = {UniHCP: A Unified Model for Human-Centric Perceptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17840-17852} }
Passive Micron-Scale Time-of-Flight With Sunlight Interferometry-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kotwal_2023_CVPR, author = {Kotwal, Alankar and Levin, Anat and Gkioulekas, Ioannis}, title = {Passive Micron-Scale Time-of-Flight With Sunlight Interferometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4139-4149} }
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yukang and Liu, Jianhui and Zhang, Xiangyu and Qi, Xiaojuan and Jia, Jiaya}, title = {VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21674-21683} }
Behavioral Analysis of Vision-and-Language Navigation Agents-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zijiao and Majumdar, Arjun and Lee, Stefan}, title = {Behavioral Analysis of Vision-and-Language Navigation Agents}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2574-2582} }
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Jiayi and Wang, Chaofei and Wu, You and Zhang, Eric and Wang, Kai and Xu, Xingqian and Song, Shiji and Shi, Humphrey and Huang, Gao}, title = {Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11494-11503} }
CelebV-Text: A Large-Scale Facial Text-Video Dataset-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Jianhui and Zhu, Hao and Jiang, Liming and Loy, Chen Change and Cai, Weidong and Wu, Wayne}, title = {CelebV-Text: A Large-Scale Facial Text-Video Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14805-14814} }
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iofinova_2023_CVPR, author = {Iofinova, Eugenia and Peste, Alexandra and Alistarh, Dan}, title = {Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24364-24373} }
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Mingxiang and Guo, Zonghao and Wang, Yuze and Yuan, Peng and Feng, Bailan and Wan, Fang}, title = {AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19519-19528} }
Unsupervised Volumetric Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Siarohin_2023_CVPR, author = {Siarohin, Aliaksandr and Menapace, Willi and Skorokhodov, Ivan and Olszewski, Kyle and Ren, Jian and Lee, Hsin-Ying and Chai, Menglei and Tulyakov, Sergey}, title = {Unsupervised Volumetric Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4658-4669} }
Hard Patches Mining for Masked Image Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haochen and Song, Kaiyou and Fan, Junsong and Wang, Yuxi and Xie, Jin and Zhang, Zhaoxiang}, title = {Hard Patches Mining for Masked Image Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10375-10385} }
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ruoyu and Yu, Zehao and Gao, Shenghua}, title = {PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21425-21434} }
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Muheng and Duan, Yueqi and Zhou, Jie and Lu, Jiwen}, title = {Diffusion-SDF: Text-To-Shape via Voxelized Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12642-12651} }
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation-
[pdf]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Ju and Chen, Jieneng and Lin, Ming-Xian and Yu, Qihang and Yuille, Alan L.}, title = {Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11259-11268} }
Semantic-Conditional Diffusion Networks for Image Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Jianjie and Li, Yehao and Pan, Yingwei and Yao, Ting and Feng, Jianlin and Chao, Hongyang and Mei, Tao}, title = {Semantic-Conditional Diffusion Networks for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23359-23368} }
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nair_2023_CVPR, author = {Nair, Nithin Gopalakrishnan and Bandara, Wele Gedara Chaminda and Patel, Vishal M.}, title = {Unite and Conquer: Plug \& Play Multi-Modal Synthesis Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6070-6079} }
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rao_2023_CVPR, author = {Rao, Haocong and Miao, Chunyan}, title = {TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22118-22128} }
All Are Worth Words: A ViT Backbone for Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2023_CVPR, author = {Bao, Fan and Nie, Shen and Xue, Kaiwen and Cao, Yue and Li, Chongxuan and Su, Hang and Zhu, Jun}, title = {All Are Worth Words: A ViT Backbone for Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22669-22679} }
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{An_2023_CVPR, author = {An, Yongqi and Zhao, Xu and Yu, Tao and Guo, Haiyun and Zhao, Chaoyang and Tang, Ming and Wang, Jinqiao}, title = {ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6355-6364} }
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Kejie and Bian, Jia-Wang and Castle, Robert and Torr, Philip H.S. and Prisacariu, Victor Adrian}, title = {MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4892-4901} }
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task-
[pdf]
[supp]
[bibtex]@InProceedings{Zhuang_2023_CVPR, author = {Zhuang, Huiping and Weng, Zhenyu and He, Run and Lin, Zhiping and Zeng, Ziqian}, title = {GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7746-7755} }
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Sicheng and Li, Hao and Wang, Yue and Liao, Yiyi and Yu, Lu}, title = {SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20701-20711} }
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition-
[pdf]
[bibtex]@InProceedings{Wanyan_2023_CVPR, author = {Wanyan, Yuyang and Yang, Xiaoshan and Chen, Chaofan and Xu, Changsheng}, title = {Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6492-6502} }
Magic3D: High-Resolution Text-to-3D Content Creation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Chen-Hsuan and Gao, Jun and Tang, Luming and Takikawa, Towaki and Zeng, Xiaohui and Huang, Xun and Kreis, Karsten and Fidler, Sanja and Liu, Ming-Yu and Lin, Tsung-Yi}, title = {Magic3D: High-Resolution Text-to-3D Content Creation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {300-309} }
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Tan and Xu, Furong and Yang, Xudong and He, Sifeng and Jiang, Chen and Guo, Qingpei and Qian, Feng and Zhang, Xiaobo and Cheng, Yuan and Yang, Lei and Chu, Wei}, title = {Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15201-15210} }
Spatial-Frequency Mutual Learning for Face Super-Resolution-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chenyang and Jiang, Junjun and Zhong, Zhiwei and Liu, Xianming}, title = {Spatial-Frequency Mutual Learning for Face Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22356-22366} }
Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhunia_2023_CVPR, author = {Bhunia, Ayan Kumar and Koley, Subhadeep and Kumar, Amandeep and Sain, Aneeshan and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe}, title = {Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2733-2743} }
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Lingshun and Dong, Jiangxin and Ge, Jianjun and Li, Mingqiang and Pan, Jinshan}, title = {Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5886-5895} }
Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Jia and Chen, Li and Deng, Hanming and Lu, Lewei and Yan, Junchi and Qiao, Yu and Li, Hongyang}, title = {Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {992-1001} }
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Le and Gao, Mingfei and Xing, Chen and Mart{\'\i}n-Mart{\'\i}n, Roberto and Wu, Jiajun and Xiong, Caiming and Xu, Ran and Niebles, Juan Carlos and Savarese, Silvio}, title = {ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1179-1189} }
Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Junfan and Chang, Jianlong and Liu, Lingbo and Li, Guanbin and Lin, Liang and Tian, Qi and Chen, Chang-Wen}, title = {Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23222-23231} }
Deep Learning of Partial Graph Matching via Differentiable Top-K-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Runzhong and Guo, Ziao and Jiang, Shaofei and Yang, Xiaokang and Yan, Junchi}, title = {Deep Learning of Partial Graph Matching via Differentiable Top-K}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6272-6281} }
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhuowan and Wang, Xingrui and Stengel-Eskin, Elias and Kortylewski, Adam and Ma, Wufei and Van Durme, Benjamin and Yuille, Alan L.}, title = {Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14963-14973} }
MonoHuman: Animatable Human Neural Field From Monocular Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhengming and Cheng, Wei and Liu, Xian and Wu, Wayne and Lin, Kwan-Yee}, title = {MonoHuman: Animatable Human Neural Field From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16943-16953} }
Sliced Optimal Partial Transport-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Yikun and Schmitzer, Bernhard and Thorpe, Matthew and Kolouri, Soheil}, title = {Sliced Optimal Partial Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13681-13690} }
Siamese DETR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zeren and Huang, Gengshi and Li, Wei and Teng, Jianing and Wang, Kun and Shao, Jing and Loy, Chen Change and Sheng, Lu}, title = {Siamese DETR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15722-15731} }
SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bao_2023_CVPR, author = {Bao, Chong and Zhang, Yinda and Yang, Bangbang and Fan, Tianxing and Yang, Zesong and Bao, Hujun and Zhang, Guofeng and Cui, Zhaopeng}, title = {SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20919-20929} }
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Binghui and Pang, Meng and Dong, Yun}, title = {Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16394-16403} }
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Junho and Lee, Byung-Kwan and Ro, Yong Man}, title = {Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12302-12312} }
NVTC: Nonlinear Vector Transform Coding-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Runsen and Guo, Zongyu and Li, Weiping and Chen, Zhibo}, title = {NVTC: Nonlinear Vector Transform Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6101-6110} }
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Pak_2023_CVPR, author = {Pak, Byeonghyun and Lee, Jaewon and Jin, Kyong Hwan}, title = {B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10062-10071} }
MetaCLUE: Towards Comprehensive Visual Metaphors Research-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Akula_2023_CVPR, author = {Akula, Arjun R. and Driscoll, Brendan and Narayana, Pradyumna and Changpinyo, Soravit and Jia, Zhiwei and Damle, Suyash and Pruthi, Garima and Basu, Sugato and Guibas, Leonidas and Freeman, William T. and Li, Yuanzhen and Jampani, Varun}, title = {MetaCLUE: Towards Comprehensive Visual Metaphors Research}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23201-23211} }
Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yoo_2023_CVPR, author = {Yoo, Jaehoon and Kim, Semin and Lee, Doyup and Kim, Chiheon and Hong, Seunghoon}, title = {Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22888-22897} }
Domain Expansion of Image Generators-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nitzan_2023_CVPR, author = {Nitzan, Yotam and Gharbi, Micha\"el and Zhang, Richard and Park, Taesung and Zhu, Jun-Yan and Cohen-Or, Daniel and Shechtman, Eli}, title = {Domain Expansion of Image Generators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15933-15942} }
On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Bo and Schmidt, Mikkel N. and Alstr{\o}m, Tommy S. and Stich, Sebastian U.}, title = {On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3964-3973} }
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khurana_2023_CVPR, author = {Khurana, Tarasha and Hu, Peiyun and Held, David and Ramanan, Deva}, title = {Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1116-1124} }
Masked Representation Learning for Domain Generalized Stereo Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Rao_2023_CVPR, author = {Rao, Zhibo and Xiong, Bangshu and He, Mingyi and Dai, Yuchao and He, Renjie and Shen, Zhelun and Li, Xing}, title = {Masked Representation Learning for Domain Generalized Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5435-5444} }
LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xi and Wu, Xiaolin}, title = {LVQAC: Lattice Vector Quantization Coupled With Spatially Adaptive Companding for Efficient Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10239-10248} }
You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Xiang and Liu, Daizong and Zhou, Pan and Nan, Guoshun}, title = {You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2448-2460} }
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Chenxin and Tan, Robby T. and Tan, Yuhong and Chen, Siheng and Wang, Yu Guang and Wang, Xinchao and Wang, Yanfeng}, title = {EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1410-1420} }
Fine-Grained Face Swapping via Regional GAN Inversion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Zhian and Li, Maomao and Zhang, Yong and Wang, Cairong and Zhang, Qi and Wang, Jue and Nie, Yongwei}, title = {Fine-Grained Face Swapping via Regional GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8578-8587} }
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Lingting and Liu, Xian and Liu, Xuanyu and Qian, Rui and Liu, Ziwei and Yu, Lequan}, title = {Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10544-10553} }
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation-
[pdf]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Xiaoyu and Huang, Zhaoyang and Li, Dasong and Zhang, Manyuan and Cheung, Ka Chun and See, Simon and Qin, Hongwei and Dai, Jifeng and Li, Hongsheng}, title = {FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1599-1610} }
NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Kun and Li, Wenbo and Wang, Yi and Hu, Tao and Jiang, Nianjuan and Han, Xiaoguang and Lu, Jiangbo}, title = {NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12363-12374} }
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shah_2023_CVPR, author = {Shah, Anshul and Roy, Aniket and Shah, Ketul and Mishra, Shlok and Jacobs, David and Cherian, Anoop and Chellappa, Rama}, title = {HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18846-18856} }
STMixer: A One-Stage Sparse Action Detector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Tao and Cao, Mengqi and Gao, Ziteng and Wu, Gangshan and Wang, Limin}, title = {STMixer: A One-Stage Sparse Action Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14720-14729} }
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels-
[pdf]
[bibtex]@InProceedings{Weng_2023_CVPR, author = {Weng, Zhenzhen and Gorban, Alexander S. and Ji, Jingwei and Najibi, Mahyar and Zhou, Yin and Anguelov, Dragomir}, title = {3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1158-1167} }
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Chenxi and Liu, Bangzhen and Zhang, Huaidong and Xu, Xuemiao and He, Shengfeng}, title = {Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3272-3281} }
FLEX: Full-Body Grasping Without Full-Body Grasps-
[pdf]
[supp]
[bibtex]@InProceedings{Tendulkar_2023_CVPR, author = {Tendulkar, Purva and Sur{\'\i}s, D{\'\i}dac and Vondrick, Carl}, title = {FLEX: Full-Body Grasping Without Full-Body Grasps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21179-21189} }
Genie: Show Me the Data for Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeon_2023_CVPR, author = {Jeon, Yongkweon and Lee, Chungman and Kim, Ho-young}, title = {Genie: Show Me the Data for Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12064-12073} }
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Yuxin and Wang, Wen and Xie, Binhui and Sun, Quan and Wu, Ledell and Wang, Xinggang and Huang, Tiejun and Wang, Xinlong and Cao, Yue}, title = {EVA: Exploring the Limits of Masked Visual Representation Learning at Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19358-19369} }
TopNet: Transformer-Based Object Placement Network for Image Compositing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Sijie and Lin, Zhe and Cohen, Scott and Kuen, Jason and Zhang, Zhifei and Chen, Chen}, title = {TopNet: Transformer-Based Object Placement Network for Image Compositing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1838-1847} }
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Qian and Hu, Yuxiao and Liu, Ye and Zhang, Dongxiao and Jin, Xin and Chen, Yuntian}, title = {Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20575-20584} }
Gloss Attention for Gloss-Free Sign Language Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Aoxiong and Zhong, Tianyun and Tang, Li and Jin, Weike and Jin, Tao and Zhao, Zhou}, title = {Gloss Attention for Gloss-Free Sign Language Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2551-2562} }
Multi-Agent Automated Machine Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhaozhi and Su, Kefan and Zhang, Jian and Jia, Huizhu and Ye, Qixiang and Xie, Xiaodong and Lu, Zongqing}, title = {Multi-Agent Automated Machine Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11960-11969} }
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence-
[pdf]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Yang and Zhang, Jiyao and Yin, Zekai and Dong, Hao}, title = {Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8917-8926} }
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Truong_2023_CVPR, author = {Truong, Thanh-Dat and Le, Ngan and Raj, Bhiksha and Cothren, Jackson and Luu, Khoa}, title = {FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19988-19997} }
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Fei and Budvytis, Ignas and Cipolla, Roberto}, title = {IMP: Iterative Matching and Pose Estimation With Adaptive Pooling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21317-21326} }
HRDFuse: Monocular 360deg Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions-
[pdf]
[supp]
[bibtex]@InProceedings{Ai_2023_CVPR, author = {Ai, Hao and Cao, Zidong and Cao, Yan-Pei and Shan, Ying and Wang, Lin}, title = {HRDFuse: Monocular 360deg Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13273-13282} }
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Bangyan and Qu, Delin and Xue, Yifei and Zhang, Huiqing and Lao, Yizhen}, title = {Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4863-4871} }
StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Yanqing and Zhou, Sanping and Fu, Jingwen and Wang, Ruotong and Chen, Shitao and Zheng, Nanning}, title = {StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11217-11226} }
PATS: Patch Area Transportation With Subdivision for Local Feature Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ni_2023_CVPR, author = {Ni, Junjie and Li, Yijin and Huang, Zhaoyang and Li, Hongsheng and Bao, Hujun and Cui, Zhaopeng and Zhang, Guofeng}, title = {PATS: Patch Area Transportation With Subdivision for Local Feature Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17776-17786} }
Learning Human-to-Robot Handovers From Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Christen_2023_CVPR, author = {Christen, Sammy and Yang, Wei and P\'erez-D{\textquoteright}Arpino, Claudia and Hilliges, Otmar and Fox, Dieter and Chao, Yu-Wei}, title = {Learning Human-to-Robot Handovers From Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9654-9664} }
MEDIC: Remove Model Backdoors via Importance Driven Cloning-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Qiuling and Tao, Guanhong and Honorio, Jean and Liu, Yingqi and An, Shengwei and Shen, Guangyu and Cheng, Siyuan and Zhang, Xiangyu}, title = {MEDIC: Remove Model Backdoors via Importance Driven Cloning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20485-20494} }
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Choudhuri_2023_CVPR, author = {Choudhuri, Anwesa and Chowdhary, Girish and Schwing, Alexander G.}, title = {Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6377-6386} }
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haochen and Du, Xiaodan and Li, Jiahao and Yeh, Raymond A. and Shakhnarovich, Greg}, title = {Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12619-12629} }
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Somasundaram_2023_CVPR, author = {Somasundaram, Siddharth and Dave, Akshat and Henley, Connor and Veeraraghavan, Ashok and Raskar, Ramesh}, title = {Role of Transients in Two-Bounce Non-Line-of-Sight Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9192-9201} }
SimpleNet: A Simple Network for Image Anomaly Detection and Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Zhikang and Zhou, Yiming and Xu, Yuansheng and Wang, Zilei}, title = {SimpleNet: A Simple Network for Image Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20402-20411} }
Elastic Aggregation for Federated Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Dengsheng and Hu, Jie and Tan, Vince Junkai and Wei, Xiaoming and Wu, Enhua}, title = {Elastic Aggregation for Federated Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12187-12197} }
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors-
[pdf]
[supp]
[bibtex]@InProceedings{Eisenberger_2023_CVPR, author = {Eisenberger, Marvin and Toker, Aysim and Leal-Taix\'e, Laura and Cremers, Daniel}, title = {G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22762-22772} }
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Potje_2023_CVPR, author = {Potje, Guilherme and Cadar, Felipe and Araujo, Andr\'e and Martins, Renato and Nascimento, Erickson R.}, title = {Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1306-1315} }
ObjectMatch: Robust Registration Using Canonical Object Correspondences-
[pdf]
[supp]
[bibtex]@InProceedings{Gumeli_2023_CVPR, author = {G\"umeli, Can and Dai, Angela and Nie{\ss}ner, Matthias}, title = {ObjectMatch: Robust Registration Using Canonical Object Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13082-13091} }
Siamese Image Modeling for Self-Supervised Vision Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tao_2023_CVPR, author = {Tao, Chenxin and Zhu, Xizhou and Su, Weijie and Huang, Gao and Li, Bin and Zhou, Jie and Qiao, Yu and Wang, Xiaogang and Dai, Jifeng}, title = {Siamese Image Modeling for Self-Supervised Vision Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2132-2141} }
Generating Part-Aware Editable 3D Shapes Without 3D Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tertikas_2023_CVPR, author = {Tertikas, Konstantinos and Paschalidou, Despoina and Pan, Boxiao and Park, Jeong Joon and Uy, Mikaela Angelina and Emiris, Ioannis and Avrithis, Yannis and Guibas, Leonidas}, title = {Generating Part-Aware Editable 3D Shapes Without 3D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4466-4478} }
Center Focusing Network for Real-Time LiDAR Panoptic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiaoyan and Zhang, Gang and Wang, Boyue and Hu, Yongli and Yin, Baocai}, title = {Center Focusing Network for Real-Time LiDAR Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13425-13434} }
High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Yunpeng and Fan, Yanbo and Wang, Xuan and Zhang, Yong and Sun, Jingxiang and Yuan, Chun and Shan, Ying}, title = {High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4541-4551} }
Mixed Autoencoder for Self-Supervised Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Kai and Liu, Zhili and Hong, Lanqing and Xu, Hang and Li, Zhenguo and Yeung, Dit-Yan}, title = {Mixed Autoencoder for Self-Supervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22742-22751} }
Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator-
[pdf]
[supp]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Nakkwan and Lee, Seungjae and Lee, Yongsik and Yang, Seungjoon}, title = {Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14164-14172} }
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Senmao and Lu, Ming and Liu, Jiaming and Guo, Yandong and Chen, Yurong and Zhang, Shunli}, title = {CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1756-1765} }
Decoupling MaxLogit for Out-of-Distribution Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zihan and Xiang, Xiang}, title = {Decoupling MaxLogit for Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3388-3397} }
ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xishun and Su, Tong and Da, Fang and Yang, Xiaodong}, title = {ProphNet: Efficient Agent-Centric Motion Forecasting With Anchor-Informed Proposals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21995-22003} }
Generalizing Dataset Distillation via Deep Generative Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cazenavette_2023_CVPR, author = {Cazenavette, George and Wang, Tongzhou and Torralba, Antonio and Efros, Alexei A. and Zhu, Jun-Yan}, title = {Generalizing Dataset Distillation via Deep Generative Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3739-3748} }
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Linglan and Lu, Jing and Xu, Yunlu and Cheng, Zhanzhan and Guo, Dashan and Niu, Yi and Fang, Xiangzhong}, title = {Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11838-11847} }
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuesong and Zeng, Zhaojie and Guan, Tao and Yang, Wei and Chen, Zhuo and Liu, Wenkai and Xu, Luoyuan and Luo, Yawei}, title = {Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1621-1630} }
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Olber_2023_CVPR, author = {Olber, Bart{\l}omiej and Radlak, Krystian and Popowicz, Adam and Szczepankiewicz, Michal and Chachu{\l}a, Krystian}, title = {Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3378-3387} }
SeaThru-NeRF: Neural Radiance Fields in Scattering Media-
[pdf]
[supp]
[bibtex]@InProceedings{Levy_2023_CVPR, author = {Levy, Deborah and Peleg, Amit and Pearl, Naama and Rosenbaum, Dan and Akkaynak, Derya and Korman, Simon and Treibitz, Tali}, title = {SeaThru-NeRF: Neural Radiance Fields in Scattering Media}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {56-65} }
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Lian and Ouyang, Wanli and Bennamoun, Mohammed and Boussaid, Farid and Xu, Dan}, title = {Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19596-19605} }
Learning To Dub Movies via Hierarchical Prosody Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cong_2023_CVPR, author = {Cong, Gaoxiang and Li, Liang and Qi, Yuankai and Zha, Zheng-Jun and Wu, Qi and Wang, Wenyu and Jiang, Bin and Yang, Ming-Hsuan and Huang, Qingming}, title = {Learning To Dub Movies via Hierarchical Prosody Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14687-14697} }
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Zheng and Zhang, Xuaner and Xia, Zhihao and Jebe, Lars and Tu, Zhuowen and Zhang, Xiuming}, title = {DiffusionRig: Learning Personalized Priors for Facial Appearance Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12736-12746} }
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Hongyu and Song, Yibing and Chen, Qifeng}, title = {Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10072-10082} }
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jihao and Huang, Xin and Zheng, Jinliang and Liu, Yu and Li, Hongsheng}, title = {MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6252-6261} }
Human Pose Estimation in Extremely Low-Light Conditions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Sohyun and Rim, Jaesung and Jeong, Boseung and Kim, Geonu and Woo, Byungju and Lee, Haechan and Cho, Sunghyun and Kwak, Suha}, title = {Human Pose Estimation in Extremely Low-Light Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {704-714} }
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rudnev_2023_CVPR, author = {Rudnev, Viktor and Elgharib, Mohamed and Theobalt, Christian and Golyanik, Vladislav}, title = {EventNeRF: Neural Radiance Fields From a Single Colour Event Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4992-5002} }
Neighborhood Attention Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hassani_2023_CVPR, author = {Hassani, Ali and Walton, Steven and Li, Jiachen and Li, Shen and Shi, Humphrey}, title = {Neighborhood Attention Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6185-6194} }
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cen_2023_CVPR, author = {Cen, Jun and Zhang, Shiwei and Wang, Xiang and Pei, Yixuan and Qing, Zhiwu and Zhang, Yingya and Chen, Qifeng}, title = {Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15295-15304} }
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains-
[pdf]
[supp]
[bibtex]@InProceedings{Reiss_2023_CVPR, author = {Rei{\ss}, Simon and Seibold, Constantin and Freytag, Alexander and Rodner, Erik and Stiefelhagen, Rainer}, title = {Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15495-15506} }
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Xueyan and Zhang, Yueyi and Xiong, Zhiwei}, title = {Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1537-1546} }
Trap Attention: Monocular Depth Estimation With Manual Traps-
[pdf]
[supp]
[bibtex]@InProceedings{Ning_2023_CVPR, author = {Ning, Chao and Gan, Hongping}, title = {Trap Attention: Monocular Depth Estimation With Manual Traps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5033-5043} }
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gillert_2023_CVPR, author = {Gillert, Alexander and Resente, Giulia and Anadon-Rosell, Alba and Wilmking, Martin and von Lukas, Uwe Freiherr}, title = {Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14540-14548} }
Learning and Aggregating Lane Graphs for Urban Automated Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Buchner_2023_CVPR, author = {B\"uchner, Martin and Z\"urn, Jannik and Todoran, Ion-George and Valada, Abhinav and Burgard, Wolfram}, title = {Learning and Aggregating Lane Graphs for Urban Automated Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13415-13424} }
Universal Instance Perception As Object Discovery and Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Bin and Jiang, Yi and Wu, Jiannan and Wang, Dong and Luo, Ping and Yuan, Zehuan and Lu, Huchuan}, title = {Universal Instance Perception As Object Discovery and Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15325-15336} }
GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Plesh_2023_CVPR, author = {Plesh, Richard and Peer, Peter and Struc, Vitomir}, title = {GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16847-16857} }
Representing Volumetric Videos As Dynamic MLP Maps-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Sida and Yan, Yunzhi and Shuai, Qing and Bao, Hujun and Zhou, Xiaowei}, title = {Representing Volumetric Videos As Dynamic MLP Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4252-4262} }
Deep Hashing With Minimal-Distance-Separated Hash Centers-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Liangdao and Pan, Yan and Liu, Cong and Lai, Hanjiang and Yin, Jian and Liu, Ye}, title = {Deep Hashing With Minimal-Distance-Separated Hash Centers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23455-23464} }
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Peng and Huang, Jinfa and Xiong, Pengfei and Tian, Shangxuan and Liu, Chang and Ji, Xiangyang and Yuan, Li and Chen, Jie}, title = {Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2472-2482} }
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ziqin and Cheng, Bowen and Zhao, Lichen and Xu, Dong and Tang, Yang and Sheng, Lu}, title = {VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21560-21569} }
Learning Emotion Representations From Verbal and Nonverbal Communication-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Sitao and Pan, Yimu and Wang, James Z.}, title = {Learning Emotion Representations From Verbal and Nonverbal Communication}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18993-19004} }
Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jianping and Huang, Yizhan and Wu, Weibin and Lyu, Michael R.}, title = {Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16415-16424} }
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yongchao and Xiao, Bin and Bi, Xiuli and Li, Weisheng and Gao, Xinbo}, title = {MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15651-15660} }
Blur Interpolation Transformer for Real-World Motion From Blur-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2023_CVPR, author = {Zhong, Zhihang and Cao, Mingdeng and Ji, Xiang and Zheng, Yinqiang and Sato, Imari}, title = {Blur Interpolation Transformer for Real-World Motion From Blur}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5713-5723} }
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Shiqi and Xu, Tingfa and Shen, Ning and Mu, Feng and Li, Jianan}, title = {Rethinking Few-Shot Medical Segmentation: A Vector Quantization View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3072-3081} }
Event-Based Shape From Polarization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Muglikar_2023_CVPR, author = {Muglikar, Manasi and Bauersfeld, Leonard and Moeys, Diederik Paul and Scaramuzza, Davide}, title = {Event-Based Shape From Polarization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1547-1556} }
Architectural Backdoors in Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bober-Irizar_2023_CVPR, author = {Bober-Irizar, Mikel and Shumailov, Ilia and Zhao, Yiren and Mullins, Robert and Papernot, Nicolas}, title = {Architectural Backdoors in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24595-24604} }
ARO-Net: Learning Implicit Fields From Anchored Radial Observations-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yizhi and Huang, Zeyu and Shamir, Ariel and Huang, Hui and Zhang, Hao and Hu, Ruizhen}, title = {ARO-Net: Learning Implicit Fields From Anchored Radial Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3572-3581} }
All in One: Exploring Unified Video-Language Pre-Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jinpeng and Ge, Yixiao and Yan, Rui and Ge, Yuying and Lin, Kevin Qinghong and Tsutsui, Satoshi and Lin, Xudong and Cai, Guanyu and Wu, Jianping and Shan, Ying and Qie, Xiaohu and Shou, Mike Zheng}, title = {All in One: Exploring Unified Video-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6598-6608} }
Parametric Implicit Face Representation for Audio-Driven Facial Reenactment-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Ricong and Lai, Peiwen and Qin, Yipeng and Li, Guanbin}, title = {Parametric Implicit Face Representation for Audio-Driven Facial Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12759-12768} }
Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Jie and Wang, Chaoqun and Li, Zhen and Wang, Junle and Zhang, Ruimao}, title = {Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19424-19433} }
Making Vision Transformers Efficient From a Token Sparsification View-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Shuning and Wang, Pichao and Lin, Ming and Wang, Fan and Zhang, David Junhao and Jin, Rong and Shou, Mike Zheng}, title = {Making Vision Transformers Efficient From a Token Sparsification View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6195-6205} }
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xixi and Lochman, Yaroslava and Zach, Christopher}, title = {GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23946-23955} }
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension-
[pdf]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Lei and Luo, Gen and Zhou, Yiyi and Sun, Xiaoshuai and Jiang, Guannan and Shu, Annan and Ji, Rongrong}, title = {RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2681-2690} }
VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ke_2023_CVPR, author = {Ke, Junjie and Ye, Keren and Yu, Jiahui and Wu, Yonghui and Milanfar, Peyman and Yang, Feng}, title = {VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10041-10051} }
Learnable Skeleton-Aware 3D Point Cloud Sampling-
[pdf]
[supp]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Cheng and Yu, Baosheng and Tao, Dacheng}, title = {Learnable Skeleton-Aware 3D Point Cloud Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17671-17681} }
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Rong_2023_CVPR, author = {Rong, Shenghai and Tu, Bohai and Wang, Zilei and Li, Junjie}, title = {Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19574-19584} }
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Saha_2023_CVPR, author = {Saha, Avinab and Mishra, Sandeep and Bovik, Alan C.}, title = {Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5846-5855} }
Procedure-Aware Pretraining for Instructional Video Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Honglu and Mart{\'\i}n-Mart{\'\i}n, Roberto and Kapadia, Mubbasir and Savarese, Silvio and Niebles, Juan Carlos}, title = {Procedure-Aware Pretraining for Instructional Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10727-10738} }
Sample-Level Multi-View Graph Clustering-
[pdf]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Yuze and Liu, Yixi and Huang, Shudong and Feng, Wentao and Lv, Jiancheng}, title = {Sample-Level Multi-View Graph Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23966-23975} }
Fine-Grained Audible Video Description-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Xuyang and Li, Dong and Zhou, Jinxing and Qin, Zhen and He, Bowen and Han, Xiaodong and Li, Aixuan and Dai, Yuchao and Kong, Lingpeng and Wang, Meng and Qiao, Yu and Zhong, Yiran}, title = {Fine-Grained Audible Video Description}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10585-10596} }
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Aoran and Huang, Jiaxing and Xuan, Weihao and Ren, Ruijie and Liu, Kangcheng and Guan, Dayan and El Saddik, Abdulmotaleb and Lu, Shijian and Xing, Eric P.}, title = {3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9382-9392} }
Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Xinmiao and Li, Yikang and Hsiao, Jenhao and Ho, Chiuman and Kong, Yu}, title = {Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1736-1745} }
RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Zhongjin and Cai, Shengcai and Dong, Jinguo and Ming, Ruibo and Qiu, Liangdong and Zhan, Xiaohang and Han, Xiaoguang}, title = {RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12825-12835} }
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Jingxiang and Wang, Xuan and Wang, Lizhen and Li, Xiaoyu and Zhang, Yong and Zhang, Hongwen and Liu, Yebin}, title = {Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20991-21002} }
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Bo and Yuan, Jiakang and Shi, Botian and Chen, Tao and Li, Yikang and Qiao, Yu}, title = {Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9253-9262} }
Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Keyu and Gao, Tingwei and Zhang, Hui and Xie, Chengjun}, title = {Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17194-17204} }
ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhengdi and Huang, Shaoli and Fang, Chen and Breckon, Toby P. and Wang, Jue}, title = {ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12955-12964} }
Rotation-Invariant Transformer for Point Cloud Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Hao and Qin, Zheng and Hou, Ji and Saleh, Mahdi and Li, Dongsheng and Busam, Benjamin and Ilic, Slobodan}, title = {Rotation-Invariant Transformer for Point Cloud Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5384-5393} }
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Jung_2023_CVPR, author = {Jung, Deunsol and Kim, Sanghyun and Kim, Won Hwa and Cho, Minsu}, title = {Devil's on the Edges: Selective Quad Attention for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18664-18674} }
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guirguis_2023_CVPR, author = {Guirguis, Karim and Meier, Johannes and Eskandar, George and Kayser, Matthias and Yang, Bin and Beyerer, J\"urgen}, title = {NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24193-24202} }
Habitat-Matterport 3D Semantics Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yadav_2023_CVPR, author = {Yadav, Karmesh and Ramrakhya, Ram and Ramakrishnan, Santhosh Kumar and Gervet, Theo and Turner, John and Gokaslan, Aaron and Maestre, Noah and Chang, Angel Xuan and Batra, Dhruv and Savva, Manolis and Clegg, Alexander William and Chaplot, Devendra Singh}, title = {Habitat-Matterport 3D Semantics Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4927-4936} }
Post-Processing Temporal Action Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nag_2023_CVPR, author = {Nag, Sauradip and Zhu, Xiatian and Song, Yi-Zhe and Xiang, Tao}, title = {Post-Processing Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18837-18845} }
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Zequn and Zhang, Hao and Lu, Ruiying and Wang, Dongsheng and Chen, Bo and Wang, Zhengjue}, title = {ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23465-23476} }
EDGE: Editable Dance Generation From Music-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tseng_2023_CVPR, author = {Tseng, Jonathan and Castellon, Rodrigo and Liu, Karen}, title = {EDGE: Editable Dance Generation From Music}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {448-458} }
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Yu and Zhan, Jiahui and He, Shengfeng and Dong, Junyu and Du, Yong}, title = {Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5785-5794} }
Learning From Noisy Labels With Decoupled Meta Label Purifier-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2023_CVPR, author = {Tu, Yuanpeng and Zhang, Boshen and Li, Yuxi and Liu, Liang and Li, Jian and Wang, Yabiao and Wang, Chengjie and Zhao, Cai Rong}, title = {Learning From Noisy Labels With Decoupled Meta Label Purifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19934-19943} }
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yue and Panagopoulou, Artemis and Zhou, Shenghao and Jin, Daniel and Callison-Burch, Chris and Yatskar, Mark}, title = {Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19187-19197} }
Sharpness-Aware Gradient Matching for Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Pengfei and Zhang, Zhaoxiang and Lei, Zhen and Zhang, Lei}, title = {Sharpness-Aware Gradient Matching for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3769-3778} }
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jeeseung and Park, Jin-Woo and Lee, Jong-Seok}, title = {ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17152-17162} }
Improving Table Structure Recognition With Visual-Alignment Sequential Coordinate Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Yongshuai and Lu, Ning and Chen, Dapeng and Li, Yibo and Xie, Zecheng and Zhu, Shenggao and Gao, Liangcai and Peng, Wei}, title = {Improving Table Structure Recognition With Visual-Alignment Sequential Coordinate Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11134-11143} }
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2023_CVPR, author = {Gu, Jianyang and Wang, Kai and Luo, Hao and Chen, Chen and Jiang, Wei and Fang, Yuqiang and Zhang, Shanghang and You, Yang and Zhao, Jian}, title = {MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19243-19253} }
WIRE: Wavelet Implicit Neural Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saragadam_2023_CVPR, author = {Saragadam, Vishwanath and LeJeune, Daniel and Tan, Jasper and Balakrishnan, Guha and Veeraraghavan, Ashok and Baraniuk, Richard G.}, title = {WIRE: Wavelet Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18507-18516} }
Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Kexin and Chen, Zhineng and Wang, Gongwei and Liu, Jun and Ye, Xiongjun and Jiang, Yu-Gang}, title = {Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3904-3913} }
HumanGen: Generating Human Radiance Fields With Explicit Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Suyi and Jiang, Haoran and Wang, Ziyu and Luo, Haimin and Chen, Wenzheng and Xu, Lan}, title = {HumanGen: Generating Human Radiance Fields With Explicit Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12543-12554} }
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moon_2023_CVPR, author = {Moon, Gyeongsik}, title = {Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17028-17037} }
Local Connectivity-Based Density Estimation for Face Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Shin_2023_CVPR, author = {Shin, Junho and Lee, Hyo-Jun and Kim, Hyunseop and Baek, Jong-Hyeon and Kim, Daehyun and Koh, Yeong Jun}, title = {Local Connectivity-Based Density Estimation for Face Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13621-13629} }
Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation-
[pdf]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Chen and Peng, Xingyu and Yan, Mi and Wang, He and Yang, Lirong and Ren, Haibing and Li, Hongsheng and Liu, Si}, title = {Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14911-14920} }
Towards Practical Plug-and-Play Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Go_2023_CVPR, author = {Go, Hyojun and Lee, Yunsung and Kim, Jin-Young and Lee, Seunghyun and Jeong, Myeongho and Lee, Hyun Seung and Choi, Seungtaek}, title = {Towards Practical Plug-and-Play Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1962-1971} }
Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Jin and Luo, Xiaotong and Hong, Ming and Qu, Yanyun and Xie, Yuan and Wu, Zongze}, title = {Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14398-14407} }
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark}, title = {YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7464-7475} }
Deep Deterministic Uncertainty: A New Simple Baseline-
[pdf]
[supp]
[bibtex]@InProceedings{Mukhoti_2023_CVPR, author = {Mukhoti, Jishnu and Kirsch, Andreas and van Amersfoort, Joost and Torr, Philip H.S. and Gal, Yarin}, title = {Deep Deterministic Uncertainty: A New Simple Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24384-24394} }
PartDistillation: Learning Parts From Instance Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Jang Hyun and Kr\"ahenb\"uhl, Philipp and Ramanathan, Vignesh}, title = {PartDistillation: Learning Parts From Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7152-7161} }
Boosting Video Object Segmentation via Space-Time Correspondence Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yurong and Li, Liulei and Wang, Wenguan and Xie, Rong and Song, Li and Zhang, Wenjun}, title = {Boosting Video Object Segmentation via Space-Time Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2246-2256} }
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Tong and Gan, Kai}, title = {Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3469-3478} }
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Geng_2023_CVPR, author = {Geng, Haoran and Xu, Helin and Zhao, Chengyang and Xu, Chao and Yi, Li and Huang, Siyuan and Wang, He}, title = {GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7081-7091} }
NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Congyue and Jiang, Chiyu {\textquotedblleft}Max{\textquotedblright} and Qi, Charles R. and Yan, Xinchen and Zhou, Yin and Guibas, Leonidas and Anguelov, Dragomir}, title = {NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20637-20647} }
Therbligs in Action: Video Understanding Through Motion Primitives-
[pdf]
[bibtex]@InProceedings{Dessalene_2023_CVPR, author = {Dessalene, Eadom and Maynord, Michael and Ferm\"uller, Cornelia and Aloimonos, Yiannis}, title = {Therbligs in Action: Video Understanding Through Motion Primitives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10618-10626} }
InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Tianjian and Chen, Xu and Song, Jie and Hilliges, Otmar}, title = {InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16922-16932} }
You Only Segment Once: Towards Real-Time Panoptic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Jie and Huang, Linyan and Ren, Tianhe and Zhang, Shengchuan and Ji, Rongrong and Cao, Liujuan}, title = {You Only Segment Once: Towards Real-Time Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17819-17829} }
Robust Single Image Reflection Removal Against Adversarial Attacks-
[pdf]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Zhenbo and Zhang, Zhenyuan and Zhang, Kaihao and Luo, Wenhan and Fan, Zhaoxin and Ren, Wenqi and Lu, Jianfeng}, title = {Robust Single Image Reflection Removal Against Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24688-24698} }
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Tong and Zhang, Jiarui and Fu, Xiao and Wang, Yuxin and Ren, Jiawei and Pan, Liang and Wu, Wayne and Yang, Lei and Wang, Jiaqi and Qian, Chen and Lin, Dahua and Liu, Ziwei}, title = {OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {803-814} }
PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Minsu and Kim, Seungryong and Park, Jungin and Park, Seongheon and Sohn, Kwanghoon}, title = {PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18621-18632} }
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Qiucheng and Liu, Yujian and Zhao, Handong and Kale, Ajinkya and Bui, Trung and Yu, Tong and Lin, Zhe and Zhang, Yang and Chang, Shiyu}, title = {Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1900-1910} }
Feature Representation Learning With Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhai_2023_CVPR, author = {Zhai, Zhijun and Zhao, Jianhui and Long, Chengjiang and Xu, Wenju and He, Shuangjiang and Zhao, Huijuan}, title = {Feature Representation Learning With Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22086-22095} }
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jiajing and Yang, Minmin and Velipasalar, Senem}, title = {ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17652-17660} }
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Chenhao and Shrivastava, Ayush and Owens, Andrew}, title = {EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6945-6956} }
ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhou and Zheng, Lixiang and Zhao, Zhou and Wu, Fei and Fan, Jianping and Ren, Kui and Yu, Jun}, title = {ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23191-23200} }
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Wenxuan and Cun, Xiaodong and Wang, Xuan and Zhang, Yong and Shen, Xi and Guo, Yu and Shan, Ying and Wang, Fei}, title = {SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8652-8661} }
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning-
[pdf]
[supp]
[bibtex]@InProceedings{Kuo_2023_CVPR, author = {Kuo, Chia-Wen and Kira, Zsolt}, title = {HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11039-11049} }
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xu and Wang, Wen and Chen, Zhe and Xu, Yufei and Zhang, Jing and Tao, Dacheng}, title = {CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23272-23281} }
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2023_CVPR, author = {Pang, Ziqi and Li, Jie and Tokmakov, Pavel and Chen, Dian and Zagoruyko, Sergey and Wang, Yu-Xiong}, title = {Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17928-17938} }
Learning Sample Relationship for Exposure Correction-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Jie and Zhao, Feng and Zhou, Man and Xiao, Jie and Zheng, Naishan and Zheng, Kaiwen and Xiong, Zhiwei}, title = {Learning Sample Relationship for Exposure Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9904-9913} }
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yu and Bao, Qian and Liu, Wu and Mei, Tao and Black, Michael J.}, title = {TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8856-8866} }
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Taeyeop and Tremblay, Jonathan and Blukis, Valts and Wen, Bowen and Lee, Byeong-Uk and Shin, Inkyu and Birchfield, Stan and Kweon, In So and Yoon, Kuk-Jin}, title = {TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21285-21295} }
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Weixin and Song, Dawn and Li, Bo}, title = {TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4035-4044} }
End-to-End 3D Dense Captioning With Vote2Cap-DETR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Sijin and Zhu, Hongyuan and Chen, Xin and Lei, Yinjie and Yu, Gang and Chen, Tao}, title = {End-to-End 3D Dense Captioning With Vote2Cap-DETR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11124-11133} }
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Chuntao and Lu, Zhichao and Wang, Shangguang and Cheng, Ran and Boddeti, Vishnu Naresh}, title = {Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7756-7765} }
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghosh_2023_CVPR, author = {Ghosh, Anurag and Reddy, N. Dinesh and Mertz, Christoph and Narasimhan, Srinivasa G.}, title = {Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13364-13373} }
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Tsu-Jui and Yu, Licheng and Zhang, Ning and Fu, Cheng-Yang and Su, Jong-Chyi and Wang, William Yang and Bell, Sean}, title = {Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10681-10692} }
Tracking Through Containers and Occluders in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Van_Hoorick_2023_CVPR, author = {Van Hoorick, Basile and Tokmakov, Pavel and Stent, Simon and Li, Jie and Vondrick, Carl}, title = {Tracking Through Containers and Occluders in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13802-13812} }
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yuwei and Hayat, Munawar and Jin, Zhao and Ren, Chao and Lei, Yinjie}, title = {Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21759-21768} }
Neural Kernel Surface Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Jiahui and Gojcic, Zan and Atzmon, Matan and Litany, Or and Fidler, Sanja and Williams, Francis}, title = {Neural Kernel Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4369-4379} }
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yimu and Zhang, Dinghuai and Wu, Yihan and Huang, Heng and Zhang, Hongyang}, title = {Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20564-20574} }
Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Sangrok and Bae, Jongseong and Kim, Ha Young}, title = {Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11776-11785} }
Multilateral Semantic Relations Modeling for Image Text Retrieval-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zheng and Gao, Zhenwei and Guo, Kangshuai and Yang, Yang and Wang, Xiaoming and Shen, Heng Tao}, title = {Multilateral Semantic Relations Modeling for Image Text Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2830-2839} }
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Jiechong and Mou, Chong and Wang, Shiqi and Ma, Siwei and Zhang, Jian}, title = {Optimization-Inspired Cross-Attention Transformer for Compressive Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6174-6184} }
Novel Class Discovery for 3D Point Cloud Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Riz_2023_CVPR, author = {Riz, Luigi and Saltori, Cristiano and Ricci, Elisa and Poiesi, Fabio}, title = {Novel Class Discovery for 3D Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9393-9402} }
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Shuailei and Wang, Yuefeng and Wei, Ying and Fan, Jiaqi and Li, Thomas H. and Liu, Hongli and Lv, Fanbing}, title = {CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19681-19690} }
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guillaro_2023_CVPR, author = {Guillaro, Fabrizio and Cozzolino, Davide and Sud, Avneesh and Dufour, Nicholas and Verdoliva, Luisa}, title = {TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20606-20615} }
LANA: A Language-Capable Navigator for Instruction Following and Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xiaohan and Wang, Wenguan and Shao, Jiayi and Yang, Yi}, title = {LANA: A Language-Capable Navigator for Instruction Following and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19048-19058} }
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Zifan and Shen, Yujun and Xu, Yinghao and Peng, Sida and Liao, Yiyi and Guo, Sheng and Chen, Qifeng and Yeung, Dit-Yan}, title = {Learning 3D-Aware Image Synthesis With Unknown Pose Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13062-13071} }
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Kumar_2023_CVPR, author = {Kumar, Nishant and \v{S}egvi\'c, Sini\v{s}a and Eslami, Abouzar and Gumhold, Stefan}, title = {Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5156-5165} }
DivClust: Controlling Diversity in Deep Clustering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Metaxas_2023_CVPR, author = {Metaxas, Ioannis Maniadis and Tzimiropoulos, Georgios and Patras, Ioannis}, title = {DivClust: Controlling Diversity in Deep Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3418-3428} }
CAPE: Camera View Position Embedding for Multi-View 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Kaixin and Gong, Shi and Ye, Xiaoqing and Tan, Xiao and Wan, Ji and Ding, Errui and Wang, Jingdong and Bai, Xiang}, title = {CAPE: Camera View Position Embedding for Multi-View 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21570-21579} }
Train-Once-for-All Personalization-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Hong-You and Li, Yandong and Cui, Yin and Zhang, Mingda and Chao, Wei-Lun and Zhang, Li}, title = {Train-Once-for-All Personalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11818-11827} }
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhicai and Hao, Yanbin and Mu, Tingting and Li, Ouxiang and Wang, Shuo and He, Xiangnan}, title = {Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19893-19902} }
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jayasundara_2023_CVPR, author = {Jayasundara, Vinoj and Agrawal, Amit and Heron, Nicolas and Shrivastava, Abhinav and Davis, Larry S.}, title = {FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21118-21127} }
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Dae-Young and Lee, HeeKyung and Seo, Jeongil and Cho, Donghyeon}, title = {DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8738-8747} }
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Baorui and Zhou, Junsheng and Liu, Yu-Shen and Han, Zhizhong}, title = {Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17724-17734} }
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Fengyin and Li, Mingkang and Li, Da and Hospedales, Timothy and Song, Yi-Zhe and Qi, Yonggang}, title = {Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23349-23358} }
Graph Representation for Order-Aware Visual Transformation-
[pdf]
[supp]
[bibtex]@InProceedings{Qiu_2023_CVPR, author = {Qiu, Yue and Sun, Yanjun and Matsuzawa, Fumiya and Iwata, Kenji and Kataoka, Hirokatsu}, title = {Graph Representation for Order-Aware Visual Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22793-22802} }
StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Kulinski_2023_CVPR, author = {Kulinski, Sean and Waytowich, Nicholas R. and Hare, James Z. and Inouye, David I.}, title = {StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22004-22013} }
Quality-Aware Pre-Trained Models for Blind Image Quality Assessment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Kai and Yuan, Kun and Sun, Ming and Li, Mading and Wen, Xing}, title = {Quality-Aware Pre-Trained Models for Blind Image Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22302-22313} }
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology-
[pdf]
[arXiv]
[bibtex]@InProceedings{Abousamra_2023_CVPR, author = {Abousamra, Shahira and Gupta, Rajarsi and Kurc, Tahsin and Samaras, Dimitris and Saltz, Joel and Chen, Chao}, title = {Topology-Guided Multi-Class Cell Context Generation for Digital Pathology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3323-3333} }
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yingjie and Deng, Jiajun and Li, Yao and Hu, Jinshui and Liu, Cong and Zhang, Yu and Ji, Jianmin and Ouyang, Wanli and Zhang, Yanyong}, title = {Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13394-13403} }
Adaptive Graph Convolutional Subspace Clustering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Lai and Chen, Zhengwei and Yin, Jun and Zhu, Changming and Zhou, Rigui and Liu, Jin}, title = {Adaptive Graph Convolutional Subspace Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6262-6271} }
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Gen and Jampani, Varun and Sun, Deqing and Sevilla-Lara, Laura}, title = {LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10922-10931} }
Learning Steerable Function for Efficient Image Resampling-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiacheng and Chen, Chang and Huang, Wei and Lang, Zhiqiang and Song, Fenglong and Yan, Youliang and Xiong, Zhiwei}, title = {Learning Steerable Function for Efficient Image Resampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5866-5875} }
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Cheng and Liu, Hai and Deng, Yongjian and Xie, Bochen and Li, Youfu}, title = {TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8897-8906} }
BioNet: A Biologically-Inspired Network for Face Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Pengyu}, title = {BioNet: A Biologically-Inspired Network for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10344-10354} }
Scaling Up GANs for Text-to-Image Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Minguk and Zhu, Jun-Yan and Zhang, Richard and Park, Jaesik and Shechtman, Eli and Paris, Sylvain and Park, Taesung}, title = {Scaling Up GANs for Text-to-Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10124-10134} }
DepGraph: Towards Any Structural Pruning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Gongfan and Ma, Xinyin and Song, Mingli and Mi, Michael Bi and Wang, Xinchao}, title = {DepGraph: Towards Any Structural Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16091-16101} }
Exploring Discontinuity for Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Sangjin and Lee, Hyeongmin and Shin, Chajin and Son, Hanbin and Lee, Sangyoun}, title = {Exploring Discontinuity for Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9791-9800} }
DynamicStereo: Consistent Dynamic Depth From Stereo Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Karaev_2023_CVPR, author = {Karaev, Nikita and Rocco, Ignacio and Graham, Benjamin and Neverova, Natalia and Vedaldi, Andrea and Rupprecht, Christian}, title = {DynamicStereo: Consistent Dynamic Depth From Stereo Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13229-13239} }
Cut and Learn for Unsupervised Object Detection and Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xudong and Girdhar, Rohit and Yu, Stella X. and Misra, Ishan}, title = {Cut and Learn for Unsupervised Object Detection and Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3124-3134} }
Privacy-Preserving Adversarial Facial Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhibo and Wang, He and Jin, Shuaifan and Zhang, Wenwen and Hu, Jiahui and Wang, Yan and Sun, Peng and Yuan, Wei and Liu, Kaixin and Ren, Kui}, title = {Privacy-Preserving Adversarial Facial Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8212-8221} }
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Aishan and Tang, Shiyu and Liang, Siyuan and Gong, Ruihao and Wu, Boxi and Liu, Xianglong and Tao, Dacheng}, title = {Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4096-4107} }
Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Chen and Jiang, Tianjian and Chen, Xu and Song, Jie and Hilliges, Otmar}, title = {Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12858-12868} }
Task Residual for Tuning Vision-Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Tao and Lu, Zhihe and Jin, Xin and Chen, Zhibo and Wang, Xinchao}, title = {Task Residual for Tuning Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10899-10909} }
Side Adapter Network for Open-Vocabulary Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Mengde and Zhang, Zheng and Wei, Fangyun and Hu, Han and Bai, Xiang}, title = {Side Adapter Network for Open-Vocabulary Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2945-2954} }
Network Expansion for Practical Training Acceleration-
[pdf]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Ning and Tang, Yehui and Han, Kai and Xu, Chao and Wang, Yunhe}, title = {Network Expansion for Practical Training Acceleration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20269-20279} }
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jian and Meng, Ziyao and Shi, Daqian and Song, Rui and Diao, Xiaolei and Wang, Jingwen and Xu, Hao}, title = {FCC: Feature Clusters Compression for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24080-24089} }
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hanyang and Li, Bo and Wu, Shuang and Shen, Siyuan and Liu, Feng and Ding, Shouhong and Zhou, Aimin}, title = {Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17958-17968} }
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Tenghao and Zhang, Zhizhong and Tan, Xin and Qu, Yanyun and Jiang, Guannan and Wang, Chengjie and Xie, Yuan}, title = {Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7298-7307} }
Hierarchical Prompt Learning for Multi-Task Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yajing and Lu, Yuning and Liu, Hao and An, Yaozu and Xu, Zhuoran and Yao, Zhuokun and Zhang, Baofeng and Xiong, Zhiwei and Gui, Chenguang}, title = {Hierarchical Prompt Learning for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10888-10898} }
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Yue and Liu, Ming and Liu, Shuai and Wang, Xiaotao and Lei, Lei and Zuo, Wangmeng}, title = {Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5744-5753} }
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jiahao and Zhang, Songyang and Liu, Yong and Wu, Taiqiang and Yang, Yujiu and Liu, Xihui and Chen, Kai and Luo, Ping and Lin, Dahua}, title = {RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14443-14452} }
Context-Based Trit-Plane Coding for Progressive Image Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeon_2023_CVPR, author = {Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su}, title = {Context-Based Trit-Plane Coding for Progressive Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14348-14357} }
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Dongliang and Bernard, Florian}, title = {Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17735-17744} }
Recurrent Vision Transformers for Object Detection With Event Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gehrig_2023_CVPR, author = {Gehrig, Mathias and Scaramuzza, Davide}, title = {Recurrent Vision Transformers for Object Detection With Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13884-13893} }
Ham2Pose: Animating Sign Language Notation Into Pose Sequences-
[pdf]
[supp]
[bibtex]@InProceedings{Arkushin_2023_CVPR, author = {Arkushin, Rotem Shalev and Moryossef, Amit and Fried, Ohad}, title = {Ham2Pose: Animating Sign Language Notation Into Pose Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21046-21056} }
Open-Set Likelihood Maximization for Few-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Boudiaf_2023_CVPR, author = {Boudiaf, Malik and Bennequin, Etienne and Tami, Myriam and Toubhans, Antoine and Piantanida, Pablo and Hudelot, Celine and Ben Ayed, Ismail}, title = {Open-Set Likelihood Maximization for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24007-24016} }
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Jiawei and Niu, Yulei and Xu, Jincheng and Huang, Shiyuan and Han, Guangxing and Chang, Shih-Fu}, title = {DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3208-3218} }
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Bo and Chen, Mingyang and Wang, Yi and Lu, Junda and Cheng, Minhao and Wang, Wei}, title = {Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24668-24677} }
METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhanyu and Liu, Lingqiao and Wang, Lei and Zhou, Luping}, title = {METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11558-11567} }
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing-
[pdf]
[supp]
[bibtex]@InProceedings{Sheng_2023_CVPR, author = {Sheng, Yichen and Zhang, Jianming and Philip, Julien and Hold-Geoffroy, Yannick and Sun, Xin and Zhang, He and Ling, Lu and Benes, Bedrich}, title = {PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16643-16653} }
A Soma Segmentation Benchmark in Full Adult Fly Brain-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xiaoyu and Hu, Bo and Li, Mingxing and Huang, Wei and Zhang, Yueyi and Xiong, Zhiwei}, title = {A Soma Segmentation Benchmark in Full Adult Fly Brain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7402-7411} }
RGB No More: Minimally-Decoded JPEG Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jeongsoo and Johnson, Justin}, title = {RGB No More: Minimally-Decoded JPEG Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22334-22346} }
Revealing the Dark Secrets of Masked Image Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Zhenda and Geng, Zigang and Hu, Jingcheng and Zhang, Zheng and Hu, Han and Cao, Yue}, title = {Revealing the Dark Secrets of Masked Image Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14475-14485} }
Fine-Grained Classification With Noisy Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Qi and Feng, Lei and Sun, Haoliang and Wang, Ren and Guo, Chenhui and Yin, Yilong}, title = {Fine-Grained Classification With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11651-11660} }
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Tastan_2023_CVPR, author = {Tastan, Nurbek and Nandakumar, Karthik}, title = {CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8084-8092} }
Hybrid Active Learning via Deep Clustering for Video Action Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Rana_2023_CVPR, author = {Rana, Aayush J. and Rawat, Yogesh S.}, title = {Hybrid Active Learning via Deep Clustering for Video Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18867-18877} }
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network-
[pdf]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Zhengxin and Wu, Fangyu and Zhang, Bailing}, title = {Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19275-19284} }
Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Cong and Duke, Brendan and Jiang, Ruowei and Aarabi, Parham and Taylor, Graham W. and Shkurti, Florian}, title = {Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22680-22689} }
Structured Sparsity Learning for Efficient Video Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2023_CVPR, author = {Xia, Bin and He, Jingwen and Zhang, Yulun and Wang, Yitong and Tian, Yapeng and Yang, Wenming and Van Gool, Luc}, title = {Structured Sparsity Learning for Efficient Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22638-22647} }
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Daizong and Jiang, Erling and Huang, Yuanmin and Zhang, Mi and Li, Wenxuan and Yang, Min}, title = {CAP: Robust Point Cloud Classification via Semantic and Structural Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12260-12270} }
"Seeing" Electric Network Frequency From Events-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Lexuan and Hua, Guang and Zhang, Haijian and Yu, Lei and Qiao, Ning}, title = {''Seeing'' Electric Network Frequency From Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18022-18031} }
MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Bowen and Chen, Yu and Machineni, Rakesh Chowdary and Liu, Shiyu and Kim, Hun-Seok}, title = {MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18487-18496} }
Visual-Tactile Sensing for In-Hand Object Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Wenqiang and Yu, Zhenjun and Xue, Han and Ye, Ruolin and Yao, Siqiong and Lu, Cewu}, title = {Visual-Tactile Sensing for In-Hand Object Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8803-8812} }
vMAP: Vectorised Object Mapping for Neural Field SLAM-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Xin and Liu, Shikun and Taher, Marwan and Davison, Andrew J.}, title = {vMAP: Vectorised Object Mapping for Neural Field SLAM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {952-961} }
Images Speak in Images: A Generalist Painter for In-Context Visual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xinlong and Wang, Wen and Cao, Yue and Shen, Chunhua and Huang, Tiejun}, title = {Images Speak in Images: A Generalist Painter for In-Context Visual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6830-6839} }
Omni Aggregation Networks for Lightweight Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hang and Chen, Xuanhong and Ni, Bingbing and Liu, Yutian and Liu, Jinfan}, title = {Omni Aggregation Networks for Lightweight Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22378-22387} }
StyLess: Boosting the Transferability of Adversarial Examples-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Kaisheng and Xiao, Bin}, title = {StyLess: Boosting the Transferability of Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8163-8172} }
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yue and Chen, Xingyu and Wang, Xuan and Zhang, Qi and Guo, Yu and Shan, Ying and Wang, Fei}, title = {Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8264-8273} }
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Fan and Zhu, Kai and Zhai, Wei and Zheng, Kecheng and Cao, Yang}, title = {Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3282-3291} }
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rowe_2023_CVPR, author = {Rowe, Luke and Ethier, Martin and Dykhne, Eli-Henry and Czarnecki, Krzysztof}, title = {FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13745-13755} }
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Chuanhao and Li, Zhen and Jing, Chenchen and Jia, Yunde and Wu, Yuwei}, title = {Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19092-19101} }
Correlational Image Modeling for Self-Supervised Visual Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Wei and Xie, Jiahao and Loy, Chen Change}, title = {Correlational Image Modeling for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15105-15115} }
DC2: Dual-Camera Defocus Control by Learning To Refocus-
[pdf]
[supp]
[bibtex]@InProceedings{Alzayer_2023_CVPR, author = {Alzayer, Hadi and Abuolaim, Abdullah and Chan, Leung Chun and Yang, Yang and Lou, Ying Chen and Huang, Jia-Bin and Kar, Abhishek}, title = {DC2: Dual-Camera Defocus Control by Learning To Refocus}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21488-21497} }
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yixuan and Huang, Yiwen and Guo, Haijing and Zhao, Yuzhou and Wu, Runmin and Yu, Yizhou and Ge, Weifeng and Zhang, Wenqiang}, title = {MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7121-7130} }
Self-Supervised Implicit Glyph Attention for Text Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guan_2023_CVPR, author = {Guan, Tongkun and Gu, Chaochen and Tu, Jingzheng and Yang, Xue and Feng, Qi and Zhao, Yudi and Shen, Wei}, title = {Self-Supervised Implicit Glyph Attention for Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15285-15294} }
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Hong_2023_CVPR, author = {Hong, Sangmin and Yavartanoo, Mohsen and Neshatavar, Reyhaneh and Lee, Kyoung Mu}, title = {ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9435-9444} }
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Tianhong and Chang, Huiwen and Mishra, Shlok and Zhang, Han and Katabi, Dina and Krishnan, Dilip}, title = {MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2142-2152} }
Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Hao and Han, Shoudong and Ding, Huilin and Zhang, Ziwen and Wang, Hongwei and Wang, Faquan}, title = {Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11289-11298} }
DiffPose: Toward More Reliable 3D Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gong_2023_CVPR, author = {Gong, Jia and Foo, Lin Geng and Fan, Zhipeng and Ke, Qiuhong and Rahmani, Hossein and Liu, Jun}, title = {DiffPose: Toward More Reliable 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13041-13051} }
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Leheng and Lian, Qing and Wang, Luozhou and Ma, Ningning and Chen, Ying-Cong}, title = {Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {332-341} }
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xiaoyang and Zhang, Bingfeng and Yu, Limin and Xiao, Jimin}, title = {Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3114-3123} }
Learning Analytical Posterior Probability for Human Mesh Recovery-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Qi and Chen, Kang and Fan, Yinghui and Shuai, Qing and Li, Jiefeng and Zhang, Weidong}, title = {Learning Analytical Posterior Probability for Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8781-8791} }
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiu_2023_CVPR, author = {Qiu, Jiaxiong and Jiang, Peng-Tao and Zhu, Yifan and Yin, Ze-Xin and Cheng, Ming-Ming and Ren, Bo}, title = {Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20823-20833} }
Non-Contrastive Unsupervised Learning of Physiological Signals From Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Speth_2023_CVPR, author = {Speth, Jeremy and Vance, Nathan and Flynn, Patrick and Czajka, Adam}, title = {Non-Contrastive Unsupervised Learning of Physiological Signals From Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14464-14474} }
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Yunpeng and Zhang, Lisai and Chen, Qingcai and Chen, Zhijian and Li, Zhonghua and Yang, Jianxin and Cao, Zhao}, title = {FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15028-15038} }
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Minghua and Zhu, Yinhao and Cai, Hong and Han, Shizhong and Ling, Zhan and Porikli, Fatih and Su, Hao}, title = {PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21736-21746} }
An Erudite Fine-Grained Visual Classification Model-
[pdf]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Dongliang and Tong, Yujun and Du, Ruoyi and Hospedales, Timothy and Song, Yi-Zhe and Ma, Zhanyu}, title = {An Erudite Fine-Grained Visual Classification Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7268-7277} }
MAGVLT: Masked Generative Vision-and-Language Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sungwoong and Jo, Daejin and Lee, Donghoon and Kim, Jongmin}, title = {MAGVLT: Masked Generative Vision-and-Language Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23338-23348} }
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Sheng_2023_CVPR, author = {Sheng, Zehua and Yu, Zhu and Liu, Xiongwei and Cao, Si-Yuan and Liu, Yuqi and Shen, Hui-Liang and Zhang, Huaqi}, title = {Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13997-14006} }
Decoupling Human and Camera Motion From Videos in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Vickie and Pavlakos, Georgios and Malik, Jitendra and Kanazawa, Angjoo}, title = {Decoupling Human and Camera Motion From Videos in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21222-21232} }
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Lewei and Han, Jianhua and Liang, Xiaodan and Xu, Dan and Zhang, Wei and Li, Zhenguo and Xu, Hang}, title = {DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23497-23506} }
Adversarially Robust Neural Architecture Search for Graph Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Beini and Chang, Heng and Zhang, Ziwei and Wang, Xin and Wang, Daixin and Zhang, Zhiqiang and Ying, Rex and Zhu, Wenwu}, title = {Adversarially Robust Neural Architecture Search for Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8143-8152} }
Affordance Grounding From Demonstration Video To Target Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Joya and Gao, Difei and Lin, Kevin Qinghong and Shou, Mike Zheng}, title = {Affordance Grounding From Demonstration Video To Target Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6799-6808} }
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zihui and Yang, Bo and Wang, Bing and Li, Bo}, title = {GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17619-17629} }
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Yanglin and Zhu, Hongyuan and Peng, Dezhong and Peng, Xi and Hu, Peng}, title = {RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11610-11619} }
One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Jing and Zeng, Ailing and Wang, Haoqian and Zhang, Lei and Li, Yu}, title = {One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21159-21168} }
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Bin and Liu, Yahui and Song, Yue and Bi, Wei and Cucchiara, Rita and Sebe, Nicu and Wang, Wei}, title = {Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20382-20391} }
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Guangcong and Zhou, Xianpan and Li, Xuewei and Qi, Zhongang and Shan, Ying and Li, Xi}, title = {LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22490-22499} }
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Xuan and Wang, Yaohua and Lin, Ming and Huang, Yilun and Tang, Hao and Sun, Xiuyu and Wang, Yanzhi}, title = {DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6163-6173} }
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yifan and Han, Hu and Shan, Shiguang and Chen, Xilin}, title = {DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24070-24079} }
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Bo and Xue, Kaitao and Liu, Bin and Lai, Yu-Kun}, title = {BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1952-1961} }
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Benjin and Wang, Zhe and Shi, Shaoshuai and Xu, Hang and Hong, Lanqing and Li, Hongsheng}, title = {ConQueR: Query Contrast Voxel-DETR for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9296-9305} }
Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Frey_2023_CVPR, author = {Frey, Markus and Doeller, Christian F. and Barry, Caswell}, title = {Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2113-2121} }
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Su and Saharia, Chitwan and Montgomery, Ceslee and Pont-Tuset, Jordi and Noy, Shai and Pellegrini, Stefano and Onoe, Yasumasa and Laszlo, Sarah and Fleet, David J. and Soricut, Radu and Baldridge, Jason and Norouzi, Mohammad and Anderson, Peter and Chan, William}, title = {Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18359-18369} }
Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haiping and Liu, Yuan and Dong, Zhen and Guo, Yulan and Liu, Yu-Shen and Wang, Wenping and Yang, Bisheng}, title = {Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9506-9515} }
A Probabilistic Framework for Lifelong Test-Time Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Brahma_2023_CVPR, author = {Brahma, Dhanajit and Rai, Piyush}, title = {A Probabilistic Framework for Lifelong Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3582-3591} }
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sung-Bin_2023_CVPR, author = {Sung-Bin, Kim and Senocak, Arda and Ha, Hyunwoo and Owens, Andrew and Oh, Tae-Hyun}, title = {Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6430-6440} }
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Fanghua and Wang, Xintao and Cao, Mingdeng and Li, Gen and Shan, Ying and Dong, Chao}, title = {OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13283-13292} }
Text With Knowledge Graph Augmented Transformer for Video Captioning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gu_2023_CVPR, author = {Gu, Xin and Chen, Guang and Wang, Yufei and Zhang, Libo and Luo, Tiejian and Wen, Longyin}, title = {Text With Knowledge Graph Augmented Transformer for Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18941-18951} }
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Radenovic_2023_CVPR, author = {Radenovic, Filip and Dubey, Abhimanyu and Kadian, Abhishek and Mihaylov, Todor and Vandenhende, Simon and Patel, Yash and Wen, Yi and Ramanathan, Vignesh and Mahajan, Dhruv}, title = {Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6967-6977} }
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Zhiqiang and Sheng, Xiaoxiao and Wang, Longguang and Guo, Yulan and Liu, Qiong and Zhou, Xi}, title = {PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1212-1222} }
IS-GGT: Iterative Scene Graph Generation With Generative Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Kundu_2023_CVPR, author = {Kundu, Sanjoy and Aakur, Sathyanarayanan N.}, title = {IS-GGT: Iterative Scene Graph Generation With Generative Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6292-6301} }
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bohdal_2023_CVPR, author = {Bohdal, Ondrej and Tian, Yinbing and Zong, Yongshuo and Chavhan, Ruchika and Li, Da and Gouk, Henry and Guo, Li and Hospedales, Timothy}, title = {Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7693-7703} }
Multimodal Industrial Anomaly Detection via Hybrid Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yue and Peng, Jinlong and Zhang, Jiangning and Yi, Ran and Wang, Yabiao and Wang, Chengjie}, title = {Multimodal Industrial Anomaly Detection via Hybrid Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8032-8041} }
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Wending and Yan, Xu and Liao, Yinghong and Lin, Yuankai and Huang, Jin and Zhao, Gangming and Cui, Shuguang and Li, Zhen}, title = {BEV@DC: Bird's-Eye View Assisted Training for Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9233-9242} }
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Tianheng and Wang, Xinggang and Chen, Shaoyu and Zhang, Qian and Liu, Wenyu}, title = {BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3145-3154} }
Change-Aware Sampling and Contrastive Learning for Satellite Images-
[pdf]
[supp]
[bibtex]@InProceedings{Mall_2023_CVPR, author = {Mall, Utkarsh and Hariharan, Bharath and Bala, Kavita}, title = {Change-Aware Sampling and Contrastive Learning for Satellite Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5261-5270} }
Large-Scale Training Data Search for Object Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Yue and Gedeon, Tom and Zheng, Liang}, title = {Large-Scale Training Data Search for Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15568-15578} }
Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2023_CVPR, author = {Yuan, Mingze and Xia, Yingda and Dong, Hexin and Chen, Zifan and Yao, Jiawen and Qiu, Mingyan and Yan, Ke and Yin, Xiaoli and Shi, Yu and Chen, Xin and Liu, Zaiyi and Dong, Bin and Zhou, Jingren and Lu, Le and Zhang, Ling and Zhang, Li}, title = {Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23879-23889} }
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2023_CVPR, author = {Cui, Kaiwen and Yu, Yingchen and Zhan, Fangneng and Liao, Shengcai and Lu, Shijian and Xing, Eric P.}, title = {KD-DLGAN: Data Limited Image Generation via Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3872-3882} }
Batch Model Consolidation: A Multi-Task Model Consolidation Framework-
[pdf]
[supp]
[bibtex]@InProceedings{Fostiropoulos_2023_CVPR, author = {Fostiropoulos, Iordanis and Zhu, Jiaye and Itti, Laurent}, title = {Batch Model Consolidation: A Multi-Task Model Consolidation Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3664-3676} }
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition-
[pdf]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Xinqi and Chen, Xueli and Jiang, Mingjie and Shahid, Ali Raza and Yan, Hong}, title = {SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13834-13843} }
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhixin and Zhang, Ziying and Zhang, Xiaoyun and Zheng, Huangjie and Zhou, Mingyuan and Zhang, Ya and Wang, Yanfeng}, title = {DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1704-1713} }
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Hao and Chen, Ziyan and Chen, Huanran and Wang, Yongtao and Zhang, Kevin}, title = {T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20514-20523} }
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Song and Li, Wentong and Liu, Wenyu and Liu, Xiaolu and Zhu, Jianke}, title = {LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5186-5195} }
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Haoqian and Chen, Keyu and Liu, Haozhe and Zhuge, Mingchen and Li, Bing and Qiao, Ruizhi and Shu, Xiujun and Gan, Bei and Xu, Liangsheng and Ren, Bo and Xu, Mengmeng and Zhang, Wentian and Ramachandra, Raghavendra and Lin, Chia-Wen and Ghanem, Bernard}, title = {NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10669-10680} }
Token Contrast for Weakly-Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ru_2023_CVPR, author = {Ru, Lixiang and Zheng, Heliang and Zhan, Yibing and Du, Bo}, title = {Token Contrast for Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3093-3102} }
LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Shengjie and Liu, Xiaoming}, title = {LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5003-5012} }
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Xiaole and Zhao, Xile and Liu, Jun and Wang, Jianli and Miao, Yuchun and Zeng, Tieyong}, title = {Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9883-9892} }
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shabani_2023_CVPR, author = {Shabani, Mohammad Amin and Hosseini, Sepidehsadat and Furukawa, Yasutaka}, title = {HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5466-5475} }
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Yuanhao and Wang, Ruochen and Cheng, Minhao and Yu, Felix and Hsieh, Cho-Jui}, title = {FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16323-16332} }
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Haibao and Yang, Wenxian and Ruan, Hongzhi and Yang, Zhenwei and Tang, Yingjuan and Gao, Xu and Hao, Xin and Shi, Yifeng and Pan, Yifeng and Sun, Ning and Song, Juan and Yuan, Jirui and Luo, Ping and Nie, Zaiqing}, title = {V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5486-5495} }
PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiu_2023_CVPR, author = {Qiu, Zhongwei and Yang, Qiansheng and Wang, Jian and Feng, Haocheng and Han, Junyu and Ding, Errui and Xu, Chang and Fu, Dongmei and Wang, Jingdong}, title = {PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21254-21263} }
Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization-
[pdf]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Chen and Peng, Bo and Li, Zheyang and Tan, Wenming and Ren, Ye and Xiao, Jun and Pu, Shiliang}, title = {Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16196-16205} }
LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection-
[pdf]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Jinsheng and Wu, Yuanxu and Chen, Yunhua and Wang, Shurui and Wang, Zhongyuan and Ma, Jiayi}, title = {LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14613-14622} }
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hoyer_2023_CVPR, author = {Hoyer, Lukas and Dai, Dengxin and Wang, Haoran and Van Gool, Luc}, title = {MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11721-11732} }
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Youngwook and Kim, Jae Myung and Jeong, Jieun and Schmid, Cordelia and Akata, Zeynep and Lee, Jungwoo}, title = {Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3408-3417} }
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images-
[pdf]
[supp]
[bibtex]@InProceedings{Gosala_2023_CVPR, author = {Gosala, Nikhil and Petek, K\"ursat and Drews-Jr, Paulo L. J. and Burgard, Wolfram and Valada, Abhinav}, title = {SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14901-14910} }
Unifying Vision, Text, and Layout for Universal Document Processing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zineng and Yang, Ziyi and Wang, Guoxin and Fang, Yuwei and Liu, Yang and Zhu, Chenguang and Zeng, Michael and Zhang, Cha and Bansal, Mohit}, title = {Unifying Vision, Text, and Layout for Universal Document Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19254-19264} }
SparsePose: Sparse-View Camera Pose Regression and Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sinha_2023_CVPR, author = {Sinha, Samarth and Zhang, Jason Y. and Tagliasacchi, Andrea and Gilitschenski, Igor and Lindell, David B.}, title = {SparsePose: Sparse-View Camera Pose Regression and Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21349-21359} }
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Weixuan and Zhang, Jiayi and Wang, Jianyuan and Liu, Zheyuan and Zhong, Yiran and Feng, Tianpeng and Guo, Yandong and Zhang, Yanhao and Barnes, Nick}, title = {Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6420-6429} }
VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yiming and Yu, Zhiding and Choy, Christopher and Xiao, Chaowei and Alvarez, Jose M. and Fidler, Sanja and Feng, Chen and Anandkumar, Anima}, title = {VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9087-9098} }
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shang_2023_CVPR, author = {Shang, Wei and Ren, Dongwei and Yang, Yi and Zhang, Hongzhi and Ma, Kede and Zuo, Wangmeng}, title = {Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13935-13944} }
Flow Supervision for Deformable NeRF-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chaoyang and MacDonald, Lachlan Ewen and Jeni, L\'aszl\'o A. and Lucey, Simon}, title = {Flow Supervision for Deformable NeRF}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21128-21137} }
MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Gong_2023_CVPR, author = {Gong, Xinyu and Mohan, Sreyas and Dhingra, Naina and Bazin, Jean-Charles and Li, Yilei and Wang, Zhangyang and Ranjan, Rakesh}, title = {MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6481-6491} }
Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Rui and Li, Wei and Hu, Zhipeng and Li, Lincheng and Zou, Zhengxia and Shi, Zhenwei and Fan, Changjie}, title = {Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21013-21023} }
PIVOT: Prompting for Video Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Villa_2023_CVPR, author = {Villa, Andr\'es and Alc\'azar, Juan Le\'on and Alfarra, Motasem and Alhamoud, Kumail and Hurtado, Julio and Heilbron, Fabian Caba and Soto, Alvaro and Ghanem, Bernard}, title = {PIVOT: Prompting for Video Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24214-24223} }
Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation-
[pdf]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Jingda and Liu, Si-Qi and Zhang, Bochao and Yuen, Pong C.}, title = {Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10355-10364} }
Panoptic Video Scene Graph Generation-
[pdf]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Jingkang and Peng, Wenxuan and Li, Xiangtai and Guo, Zujin and Chen, Liangyu and Li, Bo and Ma, Zheng and Zhou, Kaiyang and Zhang, Wayne and Loy, Chen Change and Liu, Ziwei}, title = {Panoptic Video Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18675-18685} }
3D Video Object Detection With Learnable Object-Centric Global Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Jiawei and Chen, Yuntao and Wang, Naiyan and Zhang, Zhaoxiang}, title = {3D Video Object Detection With Learnable Object-Centric Global Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5106-5115} }
Improving the Transferability of Adversarial Samples by Path-Augmented Method-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jianping and Huang, Jen-tse and Wang, Wenxuan and Li, Yichen and Wu, Weibin and Wang, Xiaosen and Su, Yuxin and Lyu, Michael R.}, title = {Improving the Transferability of Adversarial Samples by Path-Augmented Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8173-8182} }
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Dobler_2023_CVPR, author = {D\"obler, Mario and Marsden, Robert A. and Yang, Bin}, title = {Robust Mean Teacher for Continual and Gradual Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7704-7714} }
Understanding Imbalanced Semantic Segmentation Through Neural Collapse-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2023_CVPR, author = {Zhong, Zhisheng and Cui, Jiequan and Yang, Yibo and Wu, Xiaoyang and Qi, Xiaojuan and Zhang, Xiangyu and Jia, Jiaya}, title = {Understanding Imbalanced Semantic Segmentation Through Neural Collapse}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19550-19560} }
MOVES: Manipulated Objects in Video Enable Segmentation-
[pdf]
[bibtex]@InProceedings{Higgins_2023_CVPR, author = {Higgins, Richard E. L. and Fouhey, David F.}, title = {MOVES: Manipulated Objects in Video Enable Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6334-6343} }
Generating Holistic 3D Human Motion From Speech-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Hongwei and Liang, Hualin and Liu, Yifei and Cao, Qiong and Wen, Yandong and Bolkart, Timo and Tao, Dacheng and Black, Michael J.}, title = {Generating Holistic 3D Human Motion From Speech}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {469-480} }
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Bowen and Huang, Jinchi and Jia, Rongfei and Lv, Chengfei and Fu, Huan}, title = {NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8476-8485} }
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ning_2023_CVPR, author = {Ning, Shan and Qiu, Longtian and Liu, Yongfei and He, Xuming}, title = {HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23507-23517} }
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ling_2023_CVPR, author = {Ling, Jingwang and Wang, Zhibo and Xu, Feng}, title = {ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {175-185} }
Generalized UAV Object Detection via Frequency Domain Disentanglement-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Kunyu and Fu, Xueyang and Huang, Yukun and Cao, Chengzhi and Shi, Gege and Zha, Zheng-Jun}, title = {Generalized UAV Object Detection via Frequency Domain Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1064-1073} }
Boosting Weakly-Supervised Temporal Action Localization With Text Information-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Guozhang and Cheng, De and Ding, Xinpeng and Wang, Nannan and Wang, Xiaoyu and Gao, Xinbo}, title = {Boosting Weakly-Supervised Temporal Action Localization With Text Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10648-10657} }
DINER: Disorder-Invariant Implicit Neural Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Shaowen and Zhu, Hao and Liu, Zhen and Zhang, Qi and Zhou, You and Cao, Xun and Ma, Zhan}, title = {DINER: Disorder-Invariant Implicit Neural Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6143-6152} }
A Light Touch Approach to Teaching Transformers Multi-View Geometry-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhalgat_2023_CVPR, author = {Bhalgat, Yash and Henriques, Jo\~ao F. and Zisserman, Andrew}, title = {A Light Touch Approach to Teaching Transformers Multi-View Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4958-4969} }
Trade-Off Between Robustness and Accuracy of Vision Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yanxi and Xu, Chang}, title = {Trade-Off Between Robustness and Accuracy of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7558-7568} }
Focused and Collaborative Feedback Integration for Interactive Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Qiaoqiao and Zhang, Hui and Yong, Jun-Hai}, title = {Focused and Collaborative Feedback Integration for Interactive Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18643-18652} }
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Gupta_2023_CVPR, author = {Gupta, Rohit and Roy, Anirban and Christensen, Claire and Kim, Sujeong and Gerard, Sarah and Cincebeaux, Madeline and Divakaran, Ajay and Grindal, Todd and Shah, Mubarak}, title = {Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19923-19933} }
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Zheng and Yu, Hao and Wang, Changjian and Peng, Yuxing and Xu, Kai}, title = {Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5394-5403} }
Source-Free Adaptive Gaze Estimation by Uncertainty Reduction-
[pdf]
[supp]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Xin and Zeng, Jiabei and Shan, Shiguang and Chen, Xilin}, title = {Source-Free Adaptive Gaze Estimation by Uncertainty Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22035-22045} }
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Xuran and Ye, Tianzhu and Xia, Zhuofan and Song, Shiji and Huang, Gao}, title = {Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2082-2091} }
NeRF-Supervised Deep Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tosi_2023_CVPR, author = {Tosi, Fabio and Tonioni, Alessio and De Gregorio, Daniele and Poggi, Matteo}, title = {NeRF-Supervised Deep Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {855-866} }
Decoupled Multimodal Distilling for Emotion Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yong and Wang, Yuanzhi and Cui, Zhen}, title = {Decoupled Multimodal Distilling for Emotion Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6631-6640} }
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Yingjun and Shen, Jiayi and Zhen, Xiantong and Snoek, Cees G. M.}, title = {SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19944-19954} }
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bangunharcana_2023_CVPR, author = {Bangunharcana, Antyanta and Magd, Ahmed and Kim, Kyung-Soo}, title = {DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {726-738} }
Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Lianzhe and Zhou, Shiji and Zhang, Shanghang and Chu, Xu and Chang, Heng and Zhu, Wenwu}, title = {Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7826-7835} }
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ramos_2023_CVPR, author = {Ramos, Rita and Martins, Bruno and Elliott, Desmond and Kementchedjhieva, Yova}, title = {SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2840-2849} }
Unifying Layout Generation With a Decoupled Diffusion Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hui_2023_CVPR, author = {Hui, Mude and Zhang, Zhizheng and Zhang, Xiaoyi and Xie, Wenxuan and Wang, Yuwang and Lu, Yan}, title = {Unifying Layout Generation With a Decoupled Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1942-1951} }
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Jihyun and Sung, Minhyuk and Choi, Honggyu and Kim, Tae-Kyun}, title = {Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21169-21178} }
Long-Term Visual Localization With Mobile Sensors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Shen and Liu, Yu and Wang, Long and Shen, Zehong and Peng, Zhen and Liu, Haomin and Zhang, Maojun and Zhang, Guofeng and Zhou, Xiaowei}, title = {Long-Term Visual Localization With Mobile Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17245-17255} }
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Leyva-Vallina_2023_CVPR, author = {Leyva-Vallina, Mar{\'\i}a and Strisciuglio, Nicola and Petkov, Nicolai}, title = {Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23487-23496} }
Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Wonhyeok and Im, Sunghoon}, title = {Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3779-3788} }
Relightable Neural Human Assets From Multi-View Gradient Illuminations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Taotao and He, Kai and Wu, Di and Xu, Teng and Zhang, Qixuan and Shao, Kuixiang and Chen, Wenzheng and Xu, Lan and Yu, Jingyi}, title = {Relightable Neural Human Assets From Multi-View Gradient Illuminations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4315-4327} }
Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism-
[pdf]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Tinglei and Liu, Jiaxuan and Yang, Jufeng}, title = {Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2850-2860} }
Imitation Learning As State Matching via Differentiable Physics-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Siwei and Ma, Xiao and Xu, Zhongwen}, title = {Imitation Learning As State Matching via Differentiable Physics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7846-7855} }
OpenMix: Exploring Outlier Samples for Misclassification Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Fei and Cheng, Zhen and Zhang, Xu-Yao and Liu, Cheng-Lin}, title = {OpenMix: Exploring Outlier Samples for Misclassification Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12074-12083} }
Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Feiyu and Shao, Jie and Zhu, Shuyuan and Shen, Heng Tao}, title = {Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10761-10770} }
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ruibo and Shi, Hanyu and Fu, Ziang and Wang, Zhe and Lin, Guosheng}, title = {Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17599-17608} }
TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Hao and Cheng, Xu and Peng, Wei}, title = {TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3541-3550} }
DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Xiaoning and Sun, Huaijiang and Li, Bin and Wei, Dong and Li, Weiqing and Lu, Jianfeng}, title = {DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5527-5536} }
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes-
[pdf]
[supp]
[bibtex]@InProceedings{Clark_2023_CVPR, author = {Clark, Brandon and Kerrigan, Alec and Kulkarni, Parth Parag and Cepeda, Vicente Vivanco and Shah, Mubarak}, title = {Where We Are and What We're Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23182-23190} }
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Munir_2023_CVPR, author = {Munir, Muhammad Akhtar and Khan, Muhammad Haris and Khan, Salman and Khan, Fahad Shahbaz}, title = {Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11474-11483} }
DyLiN: Making Light Field Networks Dynamic-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Heng and Julin, Joel and Milacski, Zolt\'an \'A. and Niinuma, Koichiro and Jeni, L\'aszl\'o A.}, title = {DyLiN: Making Light Field Networks Dynamic}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12397-12406} }
Critical Learning Periods for Multisensory Integration in Deep Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kleinman_2023_CVPR, author = {Kleinman, Michael and Achille, Alessandro and Soatto, Stefano}, title = {Critical Learning Periods for Multisensory Integration in Deep Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24296-24305} }
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Du and Liang, Jie and Zhang, Xindong and Liu, Ming and Zeng, Hui and Zhang, Lei}, title = {Human Guided Ground-Truth Generation for Realistic Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14082-14091} }
GarmentTracking: Category-Level Garment Pose Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Han and Xu, Wenqiang and Zhang, Jieyi and Tang, Tutian and Li, Yutong and Du, Wenxin and Ye, Ruolin and Lu, Cewu}, title = {GarmentTracking: Category-Level Garment Pose Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21233-21242} }
Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Feng and Zhang, Hao and Xu, Huaizhe and Liu, Shilong and Zhang, Lei and Ni, Lionel M. and Shum, Heung-Yeung}, title = {Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3041-3050} }
Align and Attend: Multimodal Summarization With Dual Contrastive Losses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Bo and Wang, Jun and Qiu, Jielin and Bui, Trung and Shrivastava, Abhinav and Wang, Zhaowen}, title = {Align and Attend: Multimodal Summarization With Dual Contrastive Losses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14867-14878} }
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Son_2023_CVPR, author = {Son, Minjung and Park, Jeong Joon and Guibas, Leonidas and Wetzstein, Gordon}, title = {SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8507-8517} }
Self-Supervised AutoFlow-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Hsin-Ping and Herrmann, Charles and Hur, Junhwa and Lu, Erika and Sargent, Kyle and Stone, Austin and Yang, Ming-Hsuan and Sun, Deqing}, title = {Self-Supervised AutoFlow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11412-11421} }
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Duowen and Bai, Yunhao and Shen, Wei and Li, Qingli and Yu, Lequan and Wang, Yan}, title = {MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23869-23878} }
Neuralangelo: High-Fidelity Neural Surface Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhaoshuo and M\"uller, Thomas and Evans, Alex and Taylor, Russell H. and Unberath, Mathias and Liu, Ming-Yu and Lin, Chen-Hsuan}, title = {Neuralangelo: High-Fidelity Neural Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8456-8465} }
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration-
[pdf]
[supp]
[bibtex]@InProceedings{Saxena_2023_CVPR, author = {Saxena, Divya and Cao, Jiannong and Xu, Jiahao and Kulshrestha, Tarun}, title = {Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16230-16240} }
Dimensionality-Varying Diffusion Process-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Han and Feng, Ruili and Yang, Zhantao and Huang, Lianghua and Liu, Yu and Zhang, Yifei and Shen, Yujun and Zhao, Deli and Zhou, Jingren and Cheng, Fan}, title = {Dimensionality-Varying Diffusion Process}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14307-14316} }
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Xiao and Zhu, Xiatian and Yu, Licheng and Zhang, Li and Song, Yi-Zhe and Xiang, Tao}, title = {FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2669-2680} }
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Puhua and Sun, Mingze and Huang, Ruqi}, title = {Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21835-21845} }
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Bu_2023_CVPR, author = {Bu, Tong and Ding, Jianhao and Hao, Zecheng and Yu, Zhaofei}, title = {Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7896-7906} }
Few-Shot Geometry-Aware Keypoint Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Xingzhe and Bharaj, Gaurav and Ferman, David and Rhodin, Helge and Garrido, Pablo}, title = {Few-Shot Geometry-Aware Keypoint Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21337-21348} }
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Anciukevicius_2023_CVPR, author = {Anciukevi\v{c}ius, Titas and Xu, Zexiang and Fisher, Matthew and Henderson, Paul and Bilen, Hakan and Mitra, Niloy J. and Guerrero, Paul}, title = {RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12608-12618} }
Adaptive Data-Free Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qian_2023_CVPR, author = {Qian, Biao and Wang, Yang and Hong, Richang and Wang, Meng}, title = {Adaptive Data-Free Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7960-7968} }
Neural Vector Fields: Implicit Representation by Explicit Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Xianghui and Lin, Guosheng and Chen, Zhenghao and Zhou, Luping}, title = {Neural Vector Fields: Implicit Representation by Explicit Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16727-16738} }
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures-
[pdf]
[arXiv]
[bibtex]@InProceedings{Metzer_2023_CVPR, author = {Metzer, Gal and Richardson, Elad and Patashnik, Or and Giryes, Raja and Cohen-Or, Daniel}, title = {Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12663-12673} }
Learning Generative Structure Prior for Blind Text Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiaoming and Zuo, Wangmeng and Loy, Chen Change}, title = {Learning Generative Structure Prior for Blind Text Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10103-10113} }
Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Ziwei and Li, Chen and Yang, Linlin and Zheng, Xiaoxu and Mi, Michael Bi and Lee, Gim Hee and Yao, Angela}, title = {Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {544-553} }
Open-Vocabulary Attribute Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bravo_2023_CVPR, author = {Bravo, Mar{\'\i}a A. and Mittal, Sudhanshu and Ging, Simon and Brox, Thomas}, title = {Open-Vocabulary Attribute Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7041-7050} }
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Qingjie and Xie, Yutong and Lu, Zilin and Xia, Yong}, title = {PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15671-15680} }
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2023_CVPR, author = {Fang, Shaoheng and Wang, Zi and Zhong, Yiqi and Ge, Junhao and Chen, Siheng}, title = {TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1368-1378} }
Ground-Truth Free Meta-Learning for Deep Compressive Sampling-
[pdf]
[supp]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Xinran and Quan, Yuhui and Pang, Tongyao and Ji, Hui}, title = {Ground-Truth Free Meta-Learning for Deep Compressive Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9947-9956} }
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Qing and Feng, Huifang and Shi, Kanle and Gao, Yue and Fang, Yi and Liu, Yu-Shen and Han, Zhizhong}, title = {SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13591-13600} }
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jeong_2023_CVPR, author = {Jeong, Jisoo and Cai, Hong and Garrepalli, Risheek and Porikli, Fatih}, title = {DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13691-13700} }
Test of Time: Instilling Video-Language Models With a Sense of Time-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bagad_2023_CVPR, author = {Bagad, Piyush and Tapaswi, Makarand and Snoek, Cees G. M.}, title = {Test of Time: Instilling Video-Language Models With a Sense of Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2503-2516} }
Learning To Segment Every Referring Object Point by Point-
[pdf]
[supp]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Mengxue and Wu, Yu and Wei, Yunchao and Liu, Wu and Liang, Xiaodan and Zhao, Yao}, title = {Learning To Segment Every Referring Object Point by Point}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3021-3030} }
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Chakravarthula_2023_CVPR, author = {Chakravarthula, Praneeth and D{\textquoteright}Souza, Jim Aldon and Tseng, Ethan and Bartusek, Joe and Heide, Felix}, title = {Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {982-991} }
OpenScene: 3D Scene Understanding With Open Vocabularies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Songyou and Genova, Kyle and Jiang, Chiyu {\textquotedblleft}Max{\textquotedblright} and Tagliasacchi, Andrea and Pollefeys, Marc and Funkhouser, Thomas}, title = {OpenScene: 3D Scene Understanding With Open Vocabularies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {815-824} }
Movies2Scenes: Using Movie Metadata To Learn Scene Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Shixing and Liu, Chun-Hao and Hao, Xiang and Nie, Xiaohan and Arap, Maxim and Hamid, Raffay}, title = {Movies2Scenes: Using Movie Metadata To Learn Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6535-6544} }
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jia_2023_CVPR, author = {Jia, Xiaosong and Wu, Penghao and Chen, Li and Xie, Jiangwei and He, Conghui and Yan, Junchi and Li, Hongyang}, title = {Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21983-21994} }
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haiyang and Shi, Chen and Shi, Shaoshuai and Lei, Meng and Wang, Sen and He, Di and Schiele, Bernt and Wang, Liwei}, title = {DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13520-13529} }
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Siyuan and Ye, Tianzhu and Zhang, Shen and Tang, Yao and Liang, Jiajun}, title = {Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2092-2101} }
Enhancing the Self-Universality for Transferable Targeted Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Zhipeng and Chen, Jingjing and Wu, Zuxuan and Jiang, Yu-Gang}, title = {Enhancing the Self-Universality for Transferable Targeted Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12281-12290} }
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Zhijie and Zheng, Zishuo and Lin, Chunyu and Nie, Lang and Liao, Kang and Zheng, Shuai and Zhao, Yao}, title = {Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17337-17345} }
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Chengwei and Lin, Wenbin and Xu, Feng}, title = {EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8317-8327} }
Neural Map Prior for Autonomous Driving-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Xuan and Liu, Yicheng and Yuan, Tianyuan and Wang, Yue and Wang, Yilun and Zhao, Hang}, title = {Neural Map Prior for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17535-17544} }
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Yuexiao and Li, Huixia and Zheng, Xiawu and Xiao, Xuefeng and Wang, Rui and Wen, Shilei and Pan, Xin and Chao, Fei and Ji, Rongrong}, title = {Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7950-7959} }
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration-
[pdf]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Junle and Ren, Luwei and Zhang, Yu and Zhou, Wenhui and Lin, Lili and Dai, Guojun}, title = {PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17702-17711} }
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jun-Kun and Lyu, Jipeng and Wang, Yu-Xiong}, title = {NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12439-12448} }
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiefeng and Bian, Siyuan and Liu, Qi and Tang, Jiasheng and Wang, Fan and Lu, Cewu}, title = {NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12933-12942} }
Masked Image Modeling With Local Multi-Scale Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Haoqing and Tang, Yehui and Wang, Yunhe and Guo, Jianyuan and Deng, Zhi-Hong and Han, Kai}, title = {Masked Image Modeling With Local Multi-Scale Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2122-2131} }
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Maheshwari_2023_CVPR, author = {Maheshwari, Shubh and Narain, Rahul and Hebbalaguppe, Ramya}, title = {Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12836-12846} }
GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Huo_2023_CVPR, author = {Huo, Jingyang and Sun, Qiang and Jiang, Boyan and Lin, Haitao and Fu, Yanwei}, title = {GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23212-23221} }
KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Zhongzhen and Zhang, Xiaofan and Zhang, Shaoting}, title = {KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19809-19818} }
Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Riqiang and Lou, Bin and Xu, Zhoubing and Comaniciu, Dorin and Kamen, Ali}, title = {Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {715-725} }
Randomized Adversarial Training via Taylor Expansion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Gaojie and Yi, Xinping and Wu, Dengyu and Mu, Ronghui and Huang, Xiaowei}, title = {Randomized Adversarial Training via Taylor Expansion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16447-16457} }
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model-
[pdf]
[supp]
[bibtex]@InProceedings{Potamias_2023_CVPR, author = {Potamias, Rolandos Alexandros and Ploumpis, Stylianos and Moschoglou, Stylianos and Triantafyllou, Vasileios and Zafeiriou, Stefanos}, title = {Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4670-4680} }
Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Tianxin and Ding, Zhonggan and Zhang, Jiangning and Tai, Ying and Zhang, Zhenyu and Chen, Mingang and Wang, Chengjie and Liu, Yong}, title = {Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12208-12217} }
Progressive Neighbor Consistency Mining for Correspondence Pruning-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xin and Yang, Jufeng}, title = {Progressive Neighbor Consistency Mining for Correspondence Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9527-9537} }
Learning To Zoom and Unzoom-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Thavamani_2023_CVPR, author = {Thavamani, Chittesh and Li, Mengtian and Ferroni, Francesco and Ramanan, Deva}, title = {Learning To Zoom and Unzoom}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5086-5095} }
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Wenjin and Hu, Yunqing and Chen, Qianglong and Zhang, Yin}, title = {Task Difficulty Aware Parameter Allocation \& Regularization for Lifelong Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7776-7785} }
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lian_2023_CVPR, author = {Lian, Long and Wu, Zhirong and Yu, Stella X.}, title = {Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14582-14591} }
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jie and Li, Zilong and Zhu, Yin and Zhang, Junping and Pu, Jian}, title = {From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7876-7885} }
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zimeng and Zuo, Binghui and Long, Zhiyu and Wang, Yangang}, title = {Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12125-12136} }
Understanding and Improving Features Learned in Deep Functional Maps-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Attaiki_2023_CVPR, author = {Attaiki, Souhaib and Ovsjanikov, Maks}, title = {Understanding and Improving Features Learned in Deep Functional Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1316-1326} }
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Jin and Zhang, Jialing and Liu, Xihui and Darrell, Trevor and Shelhamer, Evan and Wang, Dequan}, title = {Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11786-11796} }
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Geng_2023_CVPR, author = {Geng, Haoran and Li, Ziming and Geng, Yiran and Chen, Jiayi and Dong, Hao and Wang, He}, title = {PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2978-2988} }
Polynomial Implicit Neural Representations for Large Diverse Datasets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2023_CVPR, author = {Singh, Rajhans and Shukla, Ankita and Turaga, Pavan}, title = {Polynomial Implicit Neural Representations for Large Diverse Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2041-2051} }
Neural Video Compression With Diverse Contexts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jiahao and Li, Bin and Lu, Yan}, title = {Neural Video Compression With Diverse Contexts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22616-22626} }
High-Frequency Stereo Matching Network-
[pdf]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Haoliang and Zhou, Huizhou and Zhang, Yongjun and Chen, Jie and Yang, Yitong and Zhao, Yong}, title = {High-Frequency Stereo Matching Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1327-1336} }
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Inoue_2023_CVPR, author = {Inoue, Naoto and Kikuchi, Kotaro and Simo-Serra, Edgar and Otani, Mayu and Yamaguchi, Kota}, title = {LayoutDM: Discrete Diffusion Model for Controllable Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10167-10176} }
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Jingpei and Richter, Florian and Yip, Michael C.}, title = {Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21296-21306} }
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Heppert_2023_CVPR, author = {Heppert, Nick and Irshad, Muhammad Zubair and Zakharov, Sergey and Liu, Katherine and Ambrus, Rares Andrei and Bohg, Jeannette and Valada, Abhinav and Kollar, Thomas}, title = {CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21201-21210} }
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations-
[pdf]
[bibtex]@InProceedings{Achlioptas_2023_CVPR, author = {Achlioptas, Panos and Huang, Ian and Sung, Minhyuk and Tulyakov, Sergey and Guibas, Leonidas}, title = {ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12685-12694} }
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Chengzhi and Fu, Xueyang and Liu, Hongjian and Huang, Yukun and Wang, Kunyu and Luo, Jiebo and Zha, Zheng-Jun}, title = {Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17990-17999} }
Regularizing Second-Order Influences for Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Zhicheng and Mu, Yadong and Hua, Gang}, title = {Regularizing Second-Order Influences for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20166-20175} }
Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Rui and Liu, Dong}, title = {Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2279-2288} }
Super-Resolution Neural Operator-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Min and Zhang, Xuesong}, title = {Super-Resolution Neural Operator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18247-18256} }
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Lin and Greer, Hastings and Vialard, Fran\c{c}ois-Xavier and Kwitt, Roland and Est\'epar, Ra\'ul San Jos\'e and Rushmore, Richard Jarrett and Makris, Nikolaos and Bouix, Sylvain and Niethammer, Marc}, title = {GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18084-18094} }
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Meng and Liu, Yu-Shen and Gao, Yue and Shi, Kanle and Fang, Yi and Han, Zhizhong}, title = {LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21856-21865} }
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Liwen and Zhang, Xinyan and Zhang, Youcheng and Guo, Yufei and Chen, Yuanpei and Huang, Xuhui and Ma, Zhe}, title = {PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17577-17586} }
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jang_2023_CVPR, author = {Jang, Junbong and Lee, Kwonmoo and Kim, Tae-Kyun}, title = {Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {227-236} }
Explaining Image Classifiers With Multiscale Directional Image Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Kolek_2023_CVPR, author = {Kolek, Stefan and Windesheim, Robert and Andrade-Loarca, Hector and Kutyniok, Gitta and Levie, Ron}, title = {Explaining Image Classifiers With Multiscale Directional Image Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18600-18609} }
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lei_2023_CVPR, author = {Lei, Jiabao and Tang, Jiapeng and Jia, Kui}, title = {RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8422-8434} }
Distribution Shift Inversion for Out-of-Distribution Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Runpeng and Liu, Songhua and Yang, Xingyi and Wang, Xinchao}, title = {Distribution Shift Inversion for Out-of-Distribution Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3592-3602} }
Deep Polarization Reconstruction With PDAVIS Events-
[pdf]
[supp]
[bibtex]@InProceedings{Mei_2023_CVPR, author = {Mei, Haiyang and Wang, Zuowen and Yang, Xin and Wei, Xiaopeng and Delbruck, Tobi}, title = {Deep Polarization Reconstruction With PDAVIS Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22149-22158} }
VideoTrack: Learning To Track Objects via Video Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Fei and Chu, Lei and Li, Jiahao and Lu, Yan and Ma, Chao}, title = {VideoTrack: Learning To Track Objects via Video Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22826-22835} }
System-Status-Aware Adaptive Network for Online Streaming Video Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Foo_2023_CVPR, author = {Foo, Lin Geng and Gong, Jia and Fan, Zhipeng and Liu, Jun}, title = {System-Status-Aware Adaptive Network for Online Streaming Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10514-10523} }
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chung_2023_CVPR, author = {Chung, Hyungjin and Kim, Jeongsol and Kim, Sehui and Ye, Jong Chul}, title = {Parallel Diffusion Models of Operator and Image for Blind Inverse Problems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6059-6069} }
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Hyesong and Lee, Hunsang and Song, Wonil and Jeon, Sangryul and Sohn, Kwanghoon and Min, Dongbo}, title = {Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15072-15082} }
Semidefinite Relaxations for Robust Multiview Triangulation-
[pdf]
[supp]
[bibtex]@InProceedings{Harenstam-Nielsen_2023_CVPR, author = {H\"arenstam-Nielsen, Linus and Zeller, Niclas and Cremers, Daniel}, title = {Semidefinite Relaxations for Robust Multiview Triangulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {749-757} }
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Dahyun and Koniusz, Piotr and Cho, Minsu and Murray, Naila}, title = {Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification \& Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19627-19638} }
FFCV: Accelerating Training by Removing Data Bottlenecks-
[pdf]
[supp]
[bibtex]@InProceedings{Leclerc_2023_CVPR, author = {Leclerc, Guillaume and Ilyas, Andrew and Engstrom, Logan and Park, Sung Min and Salman, Hadi and M\k{a}dry, Aleksander}, title = {FFCV: Accelerating Training by Removing Data Bottlenecks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12011-12020} }
Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gan_2023_CVPR, author = {Gan, Bei and Shu, Xiujun and Qiao, Ruizhi and Wu, Haoqian and Chen, Keyu and Li, Hanjun and Ren, Bo}, title = {Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18898-18907} }
Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Heng and Liu, Daqing and Zheng, Qi and Su, Bing}, title = {Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2225-2234} }
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Hao and Hong, Lanqing and Li, Aoxue and Hu, Tianyang and Li, Zhenguo and Lee, Gim Hee and Wang, Liwei}, title = {ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16508-16517} }
Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Dahun and Angelova, Anelia and Kuo, Weicheng}, title = {Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11144-11154} }
PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kuang_2023_CVPR, author = {Kuang, Zhengfei and Luan, Fujun and Bi, Sai and Shu, Zhixin and Wetzstein, Gordon and Sunkavalli, Kalyan}, title = {PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20691-20700} }
Towards Unsupervised Object Detection From LiDAR Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Lunjun and Yang, Anqi Joyce and Xiong, Yuwen and Casas, Sergio and Yang, Bin and Ren, Mengye and Urtasun, Raquel}, title = {Towards Unsupervised Object Detection From LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9317-9328} }
Contrastive Mean Teacher for Domain Adaptive Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Shengcao and Joshi, Dhiraj and Gui, Liang-Yan and Wang, Yu-Xiong}, title = {Contrastive Mean Teacher for Domain Adaptive Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23839-23848} }
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Ziyun and Ge, Yuying and Liu, Xihui and Chen, Bin and Luo, Ping and Xia, Shu-Tao and Ge, Yixiao}, title = {Learning Transferable Spatiotemporal Representations From Natural Script Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23079-23089} }
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Zhiwen and Li, Chen and Lee, Gim Hee}, title = {NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8285-8295} }
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Hiuyi and Zhang, Peirong and Wu, Sihang and Zhang, Jiaxin and Zhu, Qiyuan and Xie, Zecheng and Li, Jing and Ding, Kai and Jin, Lianwen}, title = {M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15138-15147} }
RealFusion: 360deg Reconstruction of Any Object From a Single Image-
[pdf]
[supp]
[bibtex]@InProceedings{Melas-Kyriazi_2023_CVPR, author = {Melas-Kyriazi, Luke and Laina, Iro and Rupprecht, Christian and Vedaldi, Andrea}, title = {RealFusion: 360deg Reconstruction of Any Object From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8446-8455} }
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Yiting and Wei, Fangyun and Bao, Jianmin and Chen, Dong and Zhang, Wenqiang}, title = {CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19016-19026} }
Relational Space-Time Query in Long-Form Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Xitong and Chu, Fu-Jen and Feiszli, Matt and Goyal, Raghav and Torresani, Lorenzo and Tran, Du}, title = {Relational Space-Time Query in Long-Form Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6398-6408} }
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yukang and Liu, Jianhui and Zhang, Xiangyu and Qi, Xiaojuan and Jia, Jiaya}, title = {LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13488-13498} }
Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jiaqi and Hu, Xiaowei and Zhu, Lei and Dou, Qi and Dai, Jifeng and Qiao, Yu and Heng, Pheng-Ann}, title = {Video Dehazing via a Multi-Range Temporal Alignment Network With Physical Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18053-18062} }
3D Concept Learning and Reasoning From Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2023_CVPR, author = {Hong, Yining and Lin, Chunru and Du, Yilun and Chen, Zhenfang and Tenenbaum, Joshua B. and Gan, Chuang}, title = {3D Concept Learning and Reasoning From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9202-9212} }
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Junheum and Kim, Jintae and Kim, Chang-Su}, title = {BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1568-1577} }
Integrally Pre-Trained Transformer Pyramid Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Yunjie and Xie, Lingxi and Wang, Zhaozhi and Wei, Longhui and Zhang, Xiaopeng and Jiao, Jianbin and Wang, Yaowei and Tian, Qi and Ye, Qixiang}, title = {Integrally Pre-Trained Transformer Pyramid Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18610-18620} }
Soft Augmentation for Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yang and Yan, Shen and Leal-Taix\'e, Laura and Hays, James and Ramanan, Deva}, title = {Soft Augmentation for Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16241-16250} }
Learning From Unique Perspectives: User-Aware Saliency Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Shi and Valliappan, Nachiappan and Shen, Shaolei and Ye, Xinyu and Kohlhoff, Kai and He, Junfeng}, title = {Learning From Unique Perspectives: User-Aware Saliency Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2701-2710} }
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jianhui and Li, Jianmin and Zhang, Haoji and Liu, Shilong and Wang, Zhengyi and Xiao, Zihao and Zheng, Kaiwen and Zhu, Jun}, title = {PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8549-8558} }
MaskSketch: Unpaired Structure-Guided Masked Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bashkirova_2023_CVPR, author = {Bashkirova, Dina and Lezama, Jos\'e and Sohn, Kihyuk and Saenko, Kate and Essa, Irfan}, title = {MaskSketch: Unpaired Structure-Guided Masked Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1879-1889} }
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Yuheng and Xu, Chenfeng and Wei, Xiaobao and Xie, Xiaodong and Tomizuka, Masayoshi and Keutzer, Kurt and Zhang, Shanghang}, title = {Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1190-1199} }
Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity-
[pdf]
[supp]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Dongping and Gao, Xitong and Zhao, Yiren and Xu, Cheng-Zhong}, title = {Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20432-20441} }
Detecting Backdoors in Pre-Trained Encoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Shiwei and Tao, Guanhong and Cheng, Siyuan and Shen, Guangyu and Xu, Xiangzhe and Liu, Yingqi and Zhang, Kaiyuan and Ma, Shiqing and Zhang, Xiangyu}, title = {Detecting Backdoors in Pre-Trained Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16352-16362} }
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pathak_2023_CVPR, author = {Pathak, Arkanath and Dufour, Nicholas}, title = {Sequential Training of GANs Against GAN-Classifiers Reveals Correlated ''Knowledge Gaps'' Present Among Independently Trained GAN Instances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24460-24469} }
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Guoqiang and Niwa, Kenta and Kleijn, W. Bastiaan}, title = {Lookahead Diffusion Probabilistic Models for Refining Mean Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1421-1429} }
TensoIR: Tensorial Inverse Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Haian and Liu, Isabella and Xu, Peijia and Zhang, Xiaoshuai and Han, Songfang and Bi, Sai and Zhou, Xiaowei and Xu, Zexiang and Su, Hao}, title = {TensoIR: Tensorial Inverse Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {165-174} }
NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization-
[pdf]
[supp]
[bibtex]@InProceedings{Shin_2023_CVPR, author = {Shin, Juncheol and So, Junhyuk and Park, Sein and Kang, Seungyeop and Yoo, Sungjoo and Park, Eunhyeok}, title = {NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3852-3861} }
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Shuting and Ding, Henghui and Jiang, Wei}, title = {Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11238-11247} }
Long Range Pooling for 3D Large-Scale Scene Understanding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiang-Li and Guo, Meng-Hao and Mu, Tai-Jiang and Martin, Ralph R. and Hu, Shi-Min}, title = {Long Range Pooling for 3D Large-Scale Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10300-10311} }
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States-
[pdf]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Heming and Li, Lincheng and Huang, Zi and Yu, Xin}, title = {Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2563-2573} }
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiang and Qian, Xuelin and Liang, Litian and Kong, Lingjie and Dong, Qiaole and Chen, Jiejun and Liu, Dingxia and Yao, Xiuzhong and Fu, Yanwei}, title = {Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15681-15690} }
Probabilistic Knowledge Distillation of Face Ensembles-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jianqing and Li, Shen and Deng, Ailin and Xiong, Miao and Wu, Jiaying and Wu, Jiaxiang and Ding, Shouhong and Hooi, Bryan}, title = {Probabilistic Knowledge Distillation of Face Ensembles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3489-3498} }
Twin Contrastive Learning With Noisy Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Zhizhong and Zhang, Junping and Shan, Hongming}, title = {Twin Contrastive Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11661-11670} }
TriVol: Point Cloud Rendering via Triple Volumes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Tao and Xu, Xiaogang and Chu, Ruihang and Jia, Jiaya}, title = {TriVol: Point Cloud Rendering via Triple Volumes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20732-20741} }
(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ziming and Guo, Song and Lu, Xiaocheng and Guo, Jingcai and Zhang, Jiewei and Zeng, Yue and Huo, Fushuo}, title = {(ML)\${\textasciicircum}2\$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23859-23868} }
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Congyi and Zhu, Feida and Wen, Shilei}, title = {MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {564-573} }
Asymmetric Feature Fusion for Image Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Hui and Wang, Min and Zhou, Wengang and Lu, Zhenbo and Li, Houqiang}, title = {Asymmetric Feature Fusion for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11082-11092} }
CREPE: Can Vision-Language Foundation Models Reason Compositionally?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Zixian and Hong, Jerry and Gul, Mustafa Omer and Gandhi, Mona and Gao, Irena and Krishna, Ranjay}, title = {CREPE: Can Vision-Language Foundation Models Reason Compositionally?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10910-10921} }
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Heyuan and Wang, Bo and Cheng, Yu and Kankanhalli, Mohan and Tan, Robby T.}, title = {DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4531-4540} }
MoStGAN-V: Video Generation With Temporal Motion Styles-
[pdf]
[supp]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Xiaoqian and Li, Xiang and Elhoseiny, Mohamed}, title = {MoStGAN-V: Video Generation With Temporal Motion Styles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5652-5661} }
Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Tao and Wang, Shiguang and Wang, Ke and Yang, Linqi and Jiang, Zhiqiang and Zhang, Xingcheng and Dai, Kun and Li, Ruifeng and Cheng, Jian}, title = {Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1233-1243} }
HandsOff: Labeled Dataset Generation With No Additional Human Annotations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Austin and Vasileva, Mariya I. and Dave, Achal and Seshadri, Arjun}, title = {HandsOff: Labeled Dataset Generation With No Additional Human Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7991-8000} }
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Linzhi and Li, Yulong and Tian, Hongbo and Yang, Yue and Li, Xiangang and Deng, Weihong and Ye, Jieping}, title = {Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {693-703} }
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Haojie and Chen, Junsong and Wang, Lijun and Lu, Huchuan}, title = {ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5126-5135} }
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Wenhui and Bao, Hangbo and Dong, Li and Bjorck, Johan and Peng, Zhiliang and Liu, Qiang and Aggarwal, Kriti and Mohammed, Owais Khan and Singhal, Saksham and Som, Subhojit and Wei, Furu}, title = {Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19175-19186} }
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Qianjiang and Liu, Daizong and Hu, Wei}, title = {Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17556-17566} }
Efficient Verification of Neural Networks Against LVM-Based Specifications-
[pdf]
[supp]
[bibtex]@InProceedings{Hanspal_2023_CVPR, author = {Hanspal, Harleen and Lomuscio, Alessio}, title = {Efficient Verification of Neural Networks Against LVM-Based Specifications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3894-3903} }
Learning Action Changes by Measuring Verb-Adverb Textual Relationships-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moltisanti_2023_CVPR, author = {Moltisanti, Davide and Keller, Frank and Bilen, Hakan and Sevilla-Lara, Laura}, title = {Learning Action Changes by Measuring Verb-Adverb Textual Relationships}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23110-23118} }
Feature Aggregated Queries for Transformer-Based Video Object Detectors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cui_2023_CVPR, author = {Cui, Yiming}, title = {Feature Aggregated Queries for Transformer-Based Video Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6365-6376} }
Context-Aware Pretraining for Efficient Blind Image Decomposition-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chao and Zheng, Zhedong and Quan, Ruijie and Sun, Yifan and Yang, Yi}, title = {Context-Aware Pretraining for Efficient Blind Image Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18186-18195} }
Weakly Supervised Posture Mining for Fine-Grained Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zhenchao and Yang, Hualin and Chen, Calvin Yu-Chian}, title = {Weakly Supervised Posture Mining for Fine-Grained Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23735-23744} }
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Linjie and Gan, Zhe and Lin, Kevin and Lin, Chung-Ching and Liu, Zicheng and Liu, Ce and Wang, Lijuan}, title = {LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23119-23129} }
Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Pilhyeon and Kim, Taeoh and Shim, Minho and Wee, Dongyoon and Byun, Hyeran}, title = {Decomposed Cross-Modal Distillation for RGB-Based Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2373-2383} }
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lei_2023_CVPR, author = {Lei, Jiarui and Hu, Xiaobo and Wang, Yue and Liu, Dong}, title = {PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14143-14152} }
On-the-Fly Category Discovery-
[pdf]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Ruoyi and Chang, Dongliang and Liang, Kongming and Hospedales, Timothy and Song, Yi-Zhe and Ma, Zhanyu}, title = {On-the-Fly Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11691-11700} }
A Unified Knowledge Distillation Framework for Deep Directed Graphical Models-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yizhuo and Liang, Kaizhao and Zeng, Zhe and Yao, Shuochao and Shao, Huajie}, title = {A Unified Knowledge Distillation Framework for Deep Directed Graphical Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7795-7804} }
MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, JunYong and Lee, SeokYeong and Park, Haesol and Jung, Seung-Won and Kim, Ig-Jae and Cho, Junghyun}, title = {MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8392-8401} }
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset-
[pdf]
[supp]
[bibtex]@InProceedings{Narayan_2023_CVPR, author = {Narayan, Kartik and Agarwal, Harsh and Thakral, Kartik and Mittal, Surbhi and Vatsa, Mayank and Singh, Richa}, title = {DF-Platter: Multi-Face Heterogeneous Deepfake Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9739-9748} }
Shifted Diffusion for Text-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Yufan and Liu, Bingchen and Zhu, Yizhe and Yang, Xiao and Chen, Changyou and Xu, Jinhui}, title = {Shifted Diffusion for Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10157-10166} }
Robust Unsupervised StyleGAN Image Restoration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Poirier-Ginter_2023_CVPR, author = {Poirier-Ginter, Yohan and Lalonde, Jean-Fran\c{c}ois}, title = {Robust Unsupervised StyleGAN Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22292-22301} }
Blemish-Aware and Progressive Face Retouching With Limited Paired Data-
[pdf]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Lianxin and Xue, Wen and Xu, Zhen and Wu, Si and Yu, Zhiwen and Wong, Hau San}, title = {Blemish-Aware and Progressive Face Retouching With Limited Paired Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5599-5608} }
Event-Based Frame Interpolation With Ad-Hoc Deblurring-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Lei and Sakaridis, Christos and Liang, Jingyun and Sun, Peng and Cao, Jiezhang and Zhang, Kai and Jiang, Qi and Wang, Kaiwei and Van Gool, Luc}, title = {Event-Based Frame Interpolation With Ad-Hoc Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18043-18052} }
OvarNet: Towards Open-Vocabulary Object Attribute Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Keyan and Jiang, Xiaolong and Hu, Yao and Tang, Xu and Gao, Yan and Chen, Jianqi and Xie, Weidi}, title = {OvarNet: Towards Open-Vocabulary Object Attribute Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23518-23527} }
Detecting and Grounding Multi-Modal Media Manipulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2023_CVPR, author = {Shao, Rui and Wu, Tianxing and Liu, Ziwei}, title = {Detecting and Grounding Multi-Modal Media Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6904-6913} }
Boosting Detection in Crowd Analysis via Underutilized Output Features-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Shaokai and Yang, Fengyu}, title = {Boosting Detection in Crowd Analysis via Underutilized Output Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15609-15618} }
Human Pose As Compositional Tokens-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Geng_2023_CVPR, author = {Geng, Zigang and Wang, Chunyu and Wei, Yixuan and Liu, Ze and Li, Houqiang and Hu, Han}, title = {Human Pose As Compositional Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {660-671} }
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yan and Pan, Liyuan and Liu, Liu and Liu, Miaomiao}, title = {K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13263-13272} }
3D Line Mapping Revisited-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Shaohui and Yu, Yifan and Pautrat, R\'emi and Pollefeys, Marc and Larsson, Viktor}, title = {3D Line Mapping Revisited}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21445-21455} }
DartBlur: Privacy Preservation With Detection Artifact Suppression-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Baowei and Bai, Bing and Lin, Haozhe and Wang, Yu and Guo, Yuchen and Fang, Lu}, title = {DartBlur: Privacy Preservation With Detection Artifact Suppression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16479-16488} }
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ravichandran_2023_CVPR, author = {Ravichandran, Siddarth and Texler, Ond\v{r}ej and Dinev, Dimitar and Kang, Hyun Jae}, title = {Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4585-4594} }
Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Veksler_2023_CVPR, author = {Veksler, Olga}, title = {Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7360-7369} }
Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Li and Yang, Zetong and Shi, Shaoshuai and Golyanik, Vladislav and Dai, Dengxin and Schiele, Bernt}, title = {Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1168-1178} }
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yawei and Fan, Yuchen and Xiang, Xiaoyu and Demandolx, Denis and Ranjan, Rakesh and Timofte, Radu and Van Gool, Luc}, title = {Efficient and Explicit Modelling of Image Hierarchies for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18278-18289} }
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Litrico_2023_CVPR, author = {Litrico, Mattia and Del Bue, Alessio and Morerio, Pietro}, title = {Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7640-7650} }
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sengupta_2023_CVPR, author = {Sengupta, Akash and Budvytis, Ignas and Cipolla, Roberto}, title = {HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4779-4789} }
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Xinyuan and He, Yuhang and Dong, Songlin and Cheng, Jie and Wei, Xing and Gong, Yihong}, title = {DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24236-24245} }
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jiayu and Zhao, Kang and Zhang, Shiwei and Zhang, Yingya and Shen, Yujun and Zhao, Deli and Zhou, Jingren}, title = {LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13844-13853} }
Generalizable Local Feature Pre-Training for Deformable Shape Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Attaiki_2023_CVPR, author = {Attaiki, Souhaib and Li, Lei and Ovsjanikov, Maks}, title = {Generalizable Local Feature Pre-Training for Deformable Shape Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13650-13661} }
TarViS: A Unified Approach for Target-Based Video Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Athar_2023_CVPR, author = {Athar, Ali and Hermans, Alexander and Luiten, Jonathon and Ramanan, Deva and Leibe, Bastian}, title = {TarViS: A Unified Approach for Target-Based Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18738-18748} }
Progressive Random Convolutions for Single Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Seokeon and Das, Debasmit and Choi, Sungha and Yang, Seunghan and Park, Hyunsin and Yun, Sungrack}, title = {Progressive Random Convolutions for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10312-10322} }
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ruo and Wang, Binghui and Bilgic, Mustafa}, title = {IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23725-23734} }
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-Free Upsampling Module in Arbitrary-Scale Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Gaochao and Sun, Qian and Zhang, Luo and Su, Ran and Shi, Jianfeng and He, Ying}, title = {OPE-SR: Orthogonal Position Encoding for Designing a Parameter-Free Upsampling Module in Arbitrary-Scale Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10009-10020} }
Implicit Surface Contrastive Clustering for LiDAR Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zaiwei and Bai, Min and Li, Erran}, title = {Implicit Surface Contrastive Clustering for LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21716-21725} }
EC2: Emergent Communication for Embodied Control-
[pdf]
[supp]
[bibtex]@InProceedings{Mu_2023_CVPR, author = {Mu, Yao and Yao, Shunyu and Ding, Mingyu and Luo, Ping and Gan, Chuang}, title = {EC2: Emergent Communication for Embodied Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6704-6714} }
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Fangfu and Zhang, Chubin and Zheng, Yu and Duan, Yueqi}, title = {Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17386-17396} }
DynamicDet: A Unified Dynamic Architecture for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Zhihao and Wang, Yongtao and Zhang, Jinhe and Chu, Xiaojie}, title = {DynamicDet: A Unified Dynamic Architecture for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6282-6291} }
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Naeem_2023_CVPR, author = {Naeem, Muhammad Ferjad and Khan, Muhammad Gul Zain Ali and Xian, Yongqin and Afzal, Muhammad Zeshan and Stricker, Didier and Van Gool, Luc and Tombari, Federico}, title = {I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15169-15179} }
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation-
[pdf]
[supp]
[bibtex]@InProceedings{Suo_2023_CVPR, author = {Suo, Simon and Wong, Kelvin and Xu, Justin and Tu, James and Cui, Alexander and Casas, Sergio and Urtasun, Raquel}, title = {MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9622-9631} }
ORCa: Glossy Objects As Radiance-Field Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tiwary_2023_CVPR, author = {Tiwary, Kushagra and Dave, Akshat and Behari, Nikhil and Klinghoffer, Tzofi and Veeraraghavan, Ashok and Raskar, Ramesh}, title = {ORCa: Glossy Objects As Radiance-Field Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20773-20782} }
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Pu and Guo, Jianwei and Zhang, Xiaopeng and Yan, Dong-Ming}, title = {SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16816-16826} }
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Zhao and Hayat, Munawar and Yang, Yuwei and Guo, Yulan and Lei, Yinjie}, title = {Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10984-10994} }
MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Shiguang and Xie, Tao and Cheng, Jian and Zhang, Xingcheng and Liu, Haijun}, title = {MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20094-20104} }
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval-
[pdf]
[bibtex]@InProceedings{Hao_2023_CVPR, author = {Hao, Xiaoshuai and Zhang, Wanqian and Wu, Dayan and Zhu, Fei and Li, Bo}, title = {Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18962-18972} }
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sinha_2023_CVPR, author = {Sinha, Samarth and Shapovalov, Roman and Reizenstein, Jeremy and Rocco, Ignacio and Neverova, Natalia and Vedaldi, Andrea and Novotny, David}, title = {Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4881-4891} }
Generalized Decoding for Pixel, Image, and Language-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zou_2023_CVPR, author = {Zou, Xueyan and Dou, Zi-Yi and Yang, Jianwei and Gan, Zhe and Li, Linjie and Li, Chunyuan and Dai, Xiyang and Behl, Harkirat and Wang, Jianfeng and Yuan, Lu and Peng, Nanyun and Wang, Lijuan and Lee, Yong Jae and Gao, Jianfeng}, title = {Generalized Decoding for Pixel, Image, and Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15116-15127} }
Towards Unified Scene Text Spotting Based on Sequence Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kil_2023_CVPR, author = {Kil, Taeho and Kim, Seonghyeon and Seo, Sukmin and Kim, Yoonsik and Kim, Daehee}, title = {Towards Unified Scene Text Spotting Based on Sequence Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15223-15232} }
Normal-Guided Garment UV Prediction for Human Re-Texturing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jafarian_2023_CVPR, author = {Jafarian, Yasamin and Wang, Tuanfeng Y. and Ceylan, Duygu and Yang, Jimei and Carr, Nathan and Zhou, Yi and Park, Hyun Soo}, title = {Normal-Guided Garment UV Prediction for Human Re-Texturing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4627-4636} }
Learning Compact Representations for LiDAR Completion and Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Yuwen and Ma, Wei-Chiu and Wang, Jingkang and Urtasun, Raquel}, title = {Learning Compact Representations for LiDAR Completion and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1074-1083} }
Computational Flash Photography Through Intrinsics-
[pdf]
[supp]
[bibtex]@InProceedings{Maralan_2023_CVPR, author = {Maralan, Sepideh Sarajian and Careaga, Chris and Aksoy, Yagiz}, title = {Computational Flash Photography Through Intrinsics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16654-16662} }
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings-
[pdf]
[supp]
[bibtex]@InProceedings{Trosten_2023_CVPR, author = {Trosten, Daniel J. and Chakraborty, Rwiddhi and L{\o}kse, Sigurd and Wickstr{\o}m, Kristoffer Knutsen and Jenssen, Robert and Kampffmeyer, Michael C.}, title = {Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7527-7536} }
Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Nan and Pan, Zhiyi and Li, Thomas H. and Gao, Wei and Li, Ge}, title = {Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1244-1254} }
SpaText: Spatio-Textual Representation for Controllable Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Avrahami_2023_CVPR, author = {Avrahami, Omri and Hayes, Thomas and Gafni, Oran and Gupta, Sonal and Taigman, Yaniv and Parikh, Devi and Lischinski, Dani and Fried, Ohad and Yin, Xi}, title = {SpaText: Spatio-Textual Representation for Controllable Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18370-18380} }
The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects-
[pdf]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Ruohan and Dou, Yiming and Li, Hao and Agarwal, Tanmay and Bohg, Jeannette and Li, Yunzhu and Fei-Fei, Li and Wu, Jiajun}, title = {The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17276-17286} }
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients-
[pdf]
[supp]
[bibtex]@InProceedings{Ilhan_2023_CVPR, author = {Ilhan, Fatih and Su, Gong and Liu, Ling}, title = {ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24532-24541} }
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Klingner_2023_CVPR, author = {Klingner, Marvin and Borse, Shubhankar and Kumar, Varun Ravi and Rezaei, Behnaz and Narayanan, Venkatraman and Yogamani, Senthil and Porikli, Fatih}, title = {X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13343-13353} }
PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations-
[pdf]
[supp]
[bibtex]@InProceedings{Guerreiro_2023_CVPR, author = {Guerreiro, Julian Jorge Andrade and Nakazawa, Mitsuru and Stenger, Bj\"orn}, title = {PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5917-5926} }
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Zixuan and Shen, Li and Wang, Zhenyi and Liu, Tongliang and Yuan, Chun and Tao, Dacheng}, title = {Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7736-7745} }
Egocentric Video Task Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Zihui and Song, Yale and Grauman, Kristen and Torresani, Lorenzo}, title = {Egocentric Video Task Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2310-2320} }
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yoshimura_2023_CVPR, author = {Yoshimura, Masakazu and Otsuka, Junji and Irie, Atsushi and Ohashi, Takeshi}, title = {Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14007-14017} }
Reliable and Interpretable Personalized Federated Learning-
[pdf]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Zixuan and Yang, Liu and Wang, Qilong and Han, Yahong and Hu, Qinghua}, title = {Reliable and Interpretable Personalized Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20422-20431} }
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Wei and Chan, Antoni B.}, title = {Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21663-21673} }
AdamsFormer for Spatial Action Localization in the Future-
[pdf]
[supp]
[bibtex]@InProceedings{Chi_2023_CVPR, author = {Chi, Hyung-gun and Lee, Kwonjoon and Agarwal, Nakul and Xu, Yi and Ramani, Karthik and Choi, Chiho}, title = {AdamsFormer for Spatial Action Localization in the Future}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17885-17895} }
Leveraging per Image-Token Consistency for Vision-Language Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gou_2023_CVPR, author = {Gou, Yunhao and Ko, Tom and Yang, Hansi and Kwok, James and Zhang, Yu and Wang, Mingxuan}, title = {Leveraging per Image-Token Consistency for Vision-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19155-19164} }
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Ruegg_2023_CVPR, author = {R\"uegg, Nadine and Tripathi, Shashank and Schindler, Konrad and Black, Michael J. and Zuffi, Silvia}, title = {BITE: Beyond Priors for Improved Three-D Dog Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8867-8876} }
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Chao_2023_CVPR, author = {Chao, Jiahao and Zhou, Zhou and Gao, Hongfan and Gong, Jiali and Yang, Zhengfeng and Zeng, Zhenbing and Dehbi, Lydia}, title = {Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14102-14111} }
UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement-
[pdf]
[supp]
[bibtex]@InProceedings{You_2023_CVPR, author = {You, Sisi and Yao, Hantao and Bao, Bing-Kun and Xu, Changsheng}, title = {UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21876-21886} }
On the Stability-Plasticity Dilemma of Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Dongwan and Han, Bohyung}, title = {On the Stability-Plasticity Dilemma of Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20196-20204} }
Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Tianli and Xue, Mengqi and Zhang, Jiangtao and Zhang, Haofei and Wang, Yu and Cheng, Lechao and Song, Jie and Song, Mingli}, title = {Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20176-20185} }
Gaussian Label Distribution Learning for Spherical Image Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Hang and Liu, Xinyuan and Zhao, Qiang and Ma, Yike and Yan, Chenggang and Dai, Feng}, title = {Gaussian Label Distribution Learning for Spherical Image Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1033-1042} }
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity-
[pdf]
[supp]
[bibtex]@InProceedings{Takagi_2023_CVPR, author = {Takagi, Yu and Nishimoto, Shinji}, title = {High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14453-14463} }
L-CoIns: Language-Based Colorization With Instance Awareness-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Zheng and Weng, Shuchen and Zhang, Peixuan and Li, Yu and Li, Si and Shi, Boxin}, title = {L-CoIns: Language-Based Colorization With Instance Awareness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19221-19230} }
On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Trosten_2023_CVPR, author = {Trosten, Daniel J. and L{\o}kse, Sigurd and Jenssen, Robert and Kampffmeyer, Michael C.}, title = {On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23976-23985} }
Activating More Pixels in Image Super-Resolution Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xiangyu and Wang, Xintao and Zhou, Jiantao and Qiao, Yu and Dong, Chao}, title = {Activating More Pixels in Image Super-Resolution Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22367-22377} }
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Chi_2023_CVPR, author = {Chi, Xiaowei and Liu, Jiaming and Lu, Ming and Zhang, Rongyu and Wang, Zhaoqing and Guo, Yandong and Zhang, Shanghang}, title = {BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17461-17470} }
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Simin and Chen, Hanlin and Haque, Mirazul and Liu, Cong and Yang, Wei}, title = {The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24585-24594} }
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xuhai and Zhang, Jiangning and Xu, Chao and Wang, Yabiao and Wang, Chengjie and Liu, Yong}, title = {Better ''CMOS'' Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1651-1661} }
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Liang and Zhang, Boshen and Zhang, Jiangning and Zhang, Wuhao and Gan, Zhenye and Tian, Guanzhong and Zhu, Wenbing and Wang, Yabiao and Wang, Chengjie}, title = {MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7370-7379} }
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nejjar_2023_CVPR, author = {Nejjar, Ismail and Wang, Qin and Fink, Olga}, title = {DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11744-11754} }
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Yunhao and Chen, Duowen and Li, Qingli and Shen, Wei and Wang, Yan}, title = {Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11514-11524} }
Learning Discriminative Representations for Skeleton Based Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Huanyu and Liu, Qingjie and Wang, Yunhong}, title = {Learning Discriminative Representations for Skeleton Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10608-10617} }
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Allan and Kim, Moo Jin and Wang, Lirui and Florence, Pete and Finn, Chelsea}, title = {NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17907-17917} }
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Shitao and Tang, Sicong and Tagliasacchi, Andrea and Tan, Ping and Furukawa, Yasutaka}, title = {NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {929-939} }
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zechuan and Yu, Hongshan and Yang, Zhengeng and Chen, Tongjia and Akhtar, Naveed}, title = {AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1012-1021} }
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Yukang and Han, Kai and Wong, Kwan-Yee K.}, title = {SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4647-4657} }
Deep Depth Estimation From Thermal Image-
[pdf]
[supp]
[bibtex]@InProceedings{Shin_2023_CVPR, author = {Shin, Ukcheol and Park, Jinsun and Kweon, In So}, title = {Deep Depth Estimation From Thermal Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1043-1053} }
Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Olson_2023_CVPR, author = {Olson, Matthew L. and Liu, Shusen and Anirudh, Rushil and Thiagarajan, Jayaraman J. and Bremer, Peer-Timo and Wong, Weng-Keen}, title = {Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7981-7990} }
Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Shaowei and Gupta, Saurabh and Wang, Shenlong}, title = {Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21138-21147} }
Backdoor Defense via Adaptively Splitting Poisoned Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Kuofeng and Bai, Yang and Gu, Jindong and Yang, Yong and Xia, Shu-Tao}, title = {Backdoor Defense via Adaptively Splitting Poisoned Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4005-4014} }
Neural Congealing: Aligning Images to a Joint Semantic Atlas-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ofri-Amar_2023_CVPR, author = {Ofri-Amar, Dolev and Geyer, Michal and Kasten, Yoni and Dekel, Tali}, title = {Neural Congealing: Aligning Images to a Joint Semantic Atlas}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19403-19412} }
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Jiahuan and Chang, Jiahao and He, Jianfeng and Zhang, Tianzhu and Yu, Jiyang and Wu, Feng}, title = {Adaptive Spot-Guided Transformer for Consistent Local Feature Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21898-21908} }
Wide-Angle Rectification via Content-Aware Conformal Mapping-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Qi and Li, Hongdong and Wang, Qing}, title = {Wide-Angle Rectification via Content-Aware Conformal Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17357-17365} }
Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhuo_2023_CVPR, author = {Zhuo, Li{\textquoteright}an and Cao, Jian and Wang, Qi and Zhang, Bang and Bo, Liefeng}, title = {Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {650-659} }
Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xintong and Wang, Jianyu and Xiao, Leping and Fu, Xing and Qiu, Lingyun and Shi, Zuoqiang}, title = {Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13303-13312} }
SINE: SINgle Image Editing With Text-to-Image Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhixing and Han, Ligong and Ghosh, Arnab and Metaxas, Dimitris N. and Ren, Jian}, title = {SINE: SINgle Image Editing With Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6027-6037} }
Probabilistic Debiasing of Scene Graphs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Biswas_2023_CVPR, author = {Biswas, Bashirul Azam and Ji, Qiang}, title = {Probabilistic Debiasing of Scene Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10429-10438} }
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ye and Qiao, Lingfeng and Lu, Changchong and Yin, Di and Lin, Chen and Peng, Haoyuan and Ren, Bo}, title = {OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3551-3560} }
Token Turing Machines-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ryoo_2023_CVPR, author = {Ryoo, Michael S. and Gopalakrishnan, Keerthana and Kahatapitiya, Kumara and Xiao, Ted and Rao, Kanishka and Stone, Austin and Lu, Yao and Ibarz, Julian and Arnab, Anurag}, title = {Token Turing Machines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19070-19081} }
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chung_2023_CVPR, author = {Chung, Hyungjin and Ryu, Dohoon and McCann, Michael T. and Klasky, Marc L. and Ye, Jong Chul}, title = {Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22542-22551} }
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation-
[pdf]
[bibtex]@InProceedings{Wong_2023_CVPR, author = {Wong, Chi-Chong}, title = {Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4413-4422} }
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pajouheshgar_2023_CVPR, author = {Pajouheshgar, Ehsan and Xu, Yitao and Zhang, Tong and S\"usstrunk, Sabine}, title = {DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20742-20751} }
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Shuting and Ding, Henghui and Jiang, Wei}, title = {Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19498-19507} }
RelightableHands: Efficient Neural Relighting of Articulated Hand Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iwase_2023_CVPR, author = {Iwase, Shun and Saito, Shunsuke and Simon, Tomas and Lombardi, Stephen and Bagautdinov, Timur and Joshi, Rohan and Prada, Fabian and Shiratori, Takaaki and Sheikh, Yaser and Saragih, Jason}, title = {RelightableHands: Efficient Neural Relighting of Articulated Hand Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16663-16673} }
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization-
[pdf]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Chunghwan and Kim, Jaihoon and Yun, Chanhyuk and Hong, Je Hyeong}, title = {Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17266-17275} }
Depth Estimation From Camera Image and mmWave Radar Point Cloud-
[pdf]
[supp]
[bibtex]@InProceedings{Singh_2023_CVPR, author = {Singh, Akash Deep and Ba, Yunhao and Sarker, Ankur and Zhang, Howard and Kadambi, Achuta and Soatto, Stefano and Srivastava, Mani and Wong, Alex}, title = {Depth Estimation From Camera Image and mmWave Radar Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9275-9285} }
Learning Event Guided High Dynamic Range Video Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Yixin and Han, Jin and Liang, Jinxiu and Sato, Imari and Shi, Boxin}, title = {Learning Event Guided High Dynamic Range Video Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13924-13934} }
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Rixin and Wei, Jiafu and Zhang, Qian and Qi, Ruihua and Yang, Xi and Li, Chuntao}, title = {Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3103-3113} }
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective-
[pdf]
[bibtex]@InProceedings{Xiong_2023_CVPR, author = {Xiong, Junwen and Wang, Ganglai and Zhang, Peng and Huang, Wei and Zha, Yufei and Zhai, Guangtao}, title = {CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6441-6450} }
Learning Expressive Prompting With Residuals for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Das_2023_CVPR, author = {Das, Rajshekhar and Dukler, Yonatan and Ravichandran, Avinash and Swaminathan, Ashwin}, title = {Learning Expressive Prompting With Residuals for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3366-3377} }
Prototypical Residual Networks for Anomaly Detection and Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Hui and Wu, Zuxuan and Wang, Zheng and Chen, Zhineng and Jiang, Yu-Gang}, title = {Prototypical Residual Networks for Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16281-16291} }
What Happened 3 Seconds Ago? Inferring the Past With Thermal Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zitian and Ye, Wenjie and Ma, Wei-Chiu and Zhao, Hang}, title = {What Happened 3 Seconds Ago? Inferring the Past With Thermal Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17111-17120} }
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yanan and Tang, Chi-Keung and Tai, Yu-Wing}, title = {Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14112-14121} }
AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jung_2023_CVPR, author = {Jung, Hyunyoung and Hui, Zhuo and Luo, Lei and Yang, Haitao and Liu, Feng and Yoo, Sungjoo and Ranjan, Rakesh and Demandolx, Denis}, title = {AnyFlow: Arbitrary Scale Optical Flow With Implicit Neural Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5455-5465} }
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mansour_2023_CVPR, author = {Mansour, Youssef and Heckel, Reinhard}, title = {Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14018-14027} }
Vector Quantization With Self-Attention for Quality-Independent Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zhou and Dong, Weisheng and Li, Xin and Huang, Mengluan and Sun, Yulin and Shi, Guangming}, title = {Vector Quantization With Self-Attention for Quality-Independent Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24438-24448} }
Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Zuhao and Wu, Xiao-Ming and Zheng, Dian and Lin, Kun-Yu and Zheng, Wei-Shi}, title = {Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24500-24510} }
Diffusion-Based Signed Distance Fields for 3D Shape Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Shim_2023_CVPR, author = {Shim, Jaehyeok and Kang, Changwoo and Joo, Kyungdon}, title = {Diffusion-Based Signed Distance Fields for 3D Shape Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20887-20897} }
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Yilin and Pan, Hao and Yang, Lei and Pan, Jia and Komura, Taku and Wang, Wenping}, title = {Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21243-21253} }
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Linfeng and Gao, Chengying and Zou, Changqing}, title = {CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18300-18309} }
FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Karpikova_2023_CVPR, author = {Karpikova, Polina and Radionova, Ekaterina and Yaschenko, Anastasia and Spiridonov, Andrei and Kostyushko, Leonid and Fabbricatore, Riccardo and Ivakhnenko, Aleksei}, title = {FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12032-12043} }
Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Lao_2023_CVPR, author = {Lao, Jiangwei and Hong, Weixiang and Guo, Xin and Zhang, Yingying and Wang, Jian and Chen, Jingdong and Chu, Wei}, title = {Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14763-14772} }
Federated Domain Generalization With Generalization Adjustment-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Ruipeng and Xu, Qinwei and Yao, Jiangchao and Zhang, Ya and Tian, Qi and Wang, Yanfeng}, title = {Federated Domain Generalization With Generalization Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3954-3963} }
Tunable Convolutions With Parametric Multi-Loss Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Maggioni_2023_CVPR, author = {Maggioni, Matteo and Tanay, Thomas and Babiloni, Francesca and McDonagh, Steven and Leonardis, Ale\v{s}}, title = {Tunable Convolutions With Parametric Multi-Loss Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20226-20236} }
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cha_2023_CVPR, author = {Cha, Junbum and Mun, Jonghwan and Roh, Byungseok}, title = {Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11165-11174} }
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cermelli_2023_CVPR, author = {Cermelli, Fabio and Cord, Matthieu and Douillard, Arthur}, title = {CoMFormer: Continual Learning in Semantic and Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3010-3020} }
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Maoyuan and Zhang, Jing and Zhao, Shanshan and Liu, Juhua and Liu, Tongliang and Du, Bo and Tao, Dacheng}, title = {DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19348-19357} }
Conditional Generation of Audio From Video via Foley Analogies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Yuexi and Chen, Ziyang and Salamon, Justin and Russell, Bryan and Owens, Andrew}, title = {Conditional Generation of Audio From Video via Foley Analogies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2426-2436} }
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2023_CVPR, author = {Qi, Xingqun and Liu, Chen and Sun, Muyi and Li, Lincheng and Fan, Changjie and Yu, Xin}, title = {Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4616-4626} }
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ruiz_2023_CVPR, author = {Ruiz, Nataniel and Li, Yuanzhen and Jampani, Varun and Pritch, Yael and Rubinstein, Michael and Aberman, Kfir}, title = {DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22500-22510} }
MOSO: Decomposing MOtion, Scene and Object for Video Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Mingzhen and Wang, Weining and Zhu, Xinxin and Liu, Jing}, title = {MOSO: Decomposing MOtion, Scene and Object for Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18727-18737} }
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chugunov_2023_CVPR, author = {Chugunov, Ilya and Zhang, Yuxuan and Heide, Felix}, title = {Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13240-13251} }
Learning Video Representations From Large Language Models-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Yue and Misra, Ishan and Kr\"ahenb\"uhl, Philipp and Girdhar, Rohit}, title = {Learning Video Representations From Large Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6586-6597} }
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Liyan and Wang, Weihan and Mordohai, Philippos}, title = {Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17235-17244} }
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares-
[pdf]
[supp]
[bibtex]@InProceedings{Muhle_2023_CVPR, author = {Muhle, Dominik and Koestler, Lukas and Jatavallabhula, Krishna Murthy and Cremers, Daniel}, title = {Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13102-13112} }
Samples With Low Loss Curvature Improve Data Efficiency-
[pdf]
[supp]
[bibtex]@InProceedings{Garg_2023_CVPR, author = {Garg, Isha and Roy, Kaushik}, title = {Samples With Low Loss Curvature Improve Data Efficiency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20290-20300} }
Towards Effective Visual Representations for Partial-Label Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2023_CVPR, author = {Xia, Shiyu and Lv, Jiaqi and Xu, Ning and Niu, Gang and Geng, Xin}, title = {Towards Effective Visual Representations for Partial-Label Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15589-15598} }
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Xiaoyi and Bao, Jianmin and Zheng, Yinglin and Zhang, Ting and Chen, Dongdong and Yang, Hao and Zeng, Ming and Zhang, Weiming and Yuan, Lu and Chen, Dong and Wen, Fang and Yu, Nenghai}, title = {MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10995-11005} }
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Feng and Wu, Bichen and Dai, Xiaoliang and Li, Kunpeng and Zhao, Yinan and Zhang, Hang and Zhang, Peizhao and Vajda, Peter and Marculescu, Diana}, title = {Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7061-7070} }
A Loopback Network for Explainable Microvascular Invasion Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Shengxuming and Shi, Tianqi and Jiang, Yang and Zhang, Xiuming and Lei, Jie and Feng, Zunlei and Song, Mingli}, title = {A Loopback Network for Explainable Microvascular Invasion Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7443-7453} }
TINC: Tree-Structured Implicit Neural Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Runzhao}, title = {TINC: Tree-Structured Implicit Neural Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18517-18526} }
Unifying Short and Long-Term Tracking With Graph Hierarchies-
[pdf]
[supp]
[bibtex]@InProceedings{Cetintas_2023_CVPR, author = {Cetintas, Orcun and Bras\'o, Guillem and Leal-Taix\'e, Laura}, title = {Unifying Short and Long-Term Tracking With Graph Hierarchies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22877-22887} }
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Yuxiang and Ji, Zhilong and Wu, Xiaohe and Bai, Jinfeng and Zhang, Lei and Zuo, Wangmeng}, title = {Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11248-11258} }
MIME: Human-Aware 3D Scene Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Hongwei and Huang, Chun-Hao P. and Tripathi, Shashank and Hering, Lea and Thies, Justus and Black, Michael J.}, title = {MIME: Human-Aware 3D Scene Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12965-12976} }
Re-Basin via Implicit Sinkhorn Differentiation-
[pdf]
[supp]
[bibtex]@InProceedings{Pena_2023_CVPR, author = {Pe\~na, Fidel A. Guerrero and Medeiros, Heitor Rapela and Dubail, Thomas and Aminbeidokhti, Masih and Granger, Eric and Pedersoli, Marco}, title = {Re-Basin via Implicit Sinkhorn Differentiation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20237-20246} }
NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Xiangyu and Du, Dong and Chen, Weikai and Zhao, Zhiyou and Nie, Yinyu and Han, Xiaoguang}, title = {NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13601-13610} }
ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Zixuan and Jampani, Varun and Thai, Anh and Li, Yuanzhen and Stojanov, Stefan and Rehg, James M.}, title = {ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12912-12922} }
Supervised Masked Knowledge Distillation for Few-Shot Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Han and Han, Guangxing and Ma, Jiawei and Huang, Shiyuan and Lin, Xudong and Chang, Shih-Fu}, title = {Supervised Masked Knowledge Distillation for Few-Shot Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19649-19659} }
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Rui-Qi and Duan, Zheng-Peng and Guo, Chun-Le and Chai, Zhi and Li, Chongyi}, title = {RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22282-22291} }
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Isaac-Medina_2023_CVPR, author = {Isaac-Medina, Brian K. S. and Willcocks, Chris G. and Breckon, Toby P.}, title = {Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {66-75} }
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Yi and Wang, Yufei and Yang, Wenhan and Lu, Shijian and Tan, Yap-Peng and Kot, Alex C.}, title = {Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12250-12259} }
Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Micaelli_2023_CVPR, author = {Micaelli, Paul and Vahdat, Arash and Yin, Hongxu and Kautz, Jan and Molchanov, Pavlo}, title = {Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22814-22825} }
Generalized Relation Modeling for Transformer Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Shenyuan and Zhou, Chunluan and Zhang, Jun}, title = {Generalized Relation Modeling for Transformer Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18686-18695} }
Non-Line-of-Sight Imaging With Signal Superresolution Network-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jianyu and Liu, Xintong and Xiao, Leping and Shi, Zuoqiang and Qiu, Lingyun and Fu, Xing}, title = {Non-Line-of-Sight Imaging With Signal Superresolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17420-17429} }
WildLight: In-the-Wild Inverse Rendering With a Flashlight-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Ziang and Li, Junxuan and Li, Hongdong}, title = {WildLight: In-the-Wild Inverse Rendering With a Flashlight}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4305-4314} }
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Zheheng and Rahmani, Hossein and Black, Sue and Williams, Bryan M.}, title = {A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {758-767} }
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seo_2023_CVPR, author = {Seo, Seunghyeon and Han, Donghoon and Chang, Yeonjin and Kwak, Nojun}, title = {MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20659-20668} }
A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kamath_2023_CVPR, author = {Kamath, Aishwarya and Anderson, Peter and Wang, Su and Koh, Jing Yu and Ku, Alexander and Waters, Austin and Yang, Yinfei and Baldridge, Jason and Parekh, Zarana}, title = {A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10813-10823} }
Layout-Based Causal Inference for Object Navigation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Sixian and Song, Xinhang and Li, Weijie and Bai, Yubing and Yu, Xinyao and Jiang, Shuqiang}, title = {Layout-Based Causal Inference for Object Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10792-10802} }
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yuanyuan and Wang, Wenbin and Zhan, Yibing and Feng, Shaoze and Liu, Kejun and Chen, Zhe}, title = {Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9717-9728} }
Cross-Domain 3D Hand Pose Estimation With Dual Modalities-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Qiuxia and Yang, Linlin and Yao, Angela}, title = {Cross-Domain 3D Hand Pose Estimation With Dual Modalities}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17184-17193} }
Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Barattin_2023_CVPR, author = {Barattin, Simone and Tzelepis, Christos and Patras, Ioannis and Sebe, Nicu}, title = {Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8001-8010} }
Inverse Rendering of Translucent Objects Using Physical and Neural Renderers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Chenhao and Ngo, Trung Thanh and Nagahara, Hajime}, title = {Inverse Rendering of Translucent Objects Using Physical and Neural Renderers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12510-12520} }
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration-
[pdf]
[supp]
[bibtex]@InProceedings{Oksuz_2023_CVPR, author = {Oksuz, Kemal and Joy, Tom and Dokania, Puneet K.}, title = {Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9263-9274} }
Ensemble-Based Blackbox Attacks on Dense Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Zikui and Tan, Yaoteng and Asif, M. Salman}, title = {Ensemble-Based Blackbox Attacks on Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4045-4055} }
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues-
[pdf]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Xingyu and Deng, Jiankang and Ma, Chao and Yan, Yichao and Yang, Xiaokang}, title = {Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4511-4520} }
Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Kai and Patel, Deep and Kruus, Erik and Min, Martin Renqiang}, title = {Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14643-14652} }
SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yinglong and Ma, Chao and Liu, Jianzhuang}, title = {SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3677-3686} }
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yulin and Liu, Haoran and Yin, Yingda and Wang, Yang and Chen, Baoquan and Wang, He}, title = {Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21264-21273} }
SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Izquierdo_2023_CVPR, author = {Izquierdo, Sergio and Civera, Javier}, title = {SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21466-21476} }
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Youngjae and Chung, Jiwan and Yun, Heeseung and Hessel, Jack and Park, Jae Sung and Lu, Ximing and Zellers, Rowan and Ammanabrolu, Prithviraj and Le Bras, Ronan and Kim, Gunhee and Choi, Yejin}, title = {Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10845-10856} }
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ko_2023_CVPR, author = {Ko, Dohwan and Choi, Joonmyung and Choi, Hyeong Kyu and On, Kyoung-Woon and Roh, Byungseok and Kim, Hyunwoo J.}, title = {MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20105-20115} }
Dense Network Expansion for Class Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Zhiyuan and Li, Yunsheng and Lyu, Jiancheng and Gao, Dashan and Vasconcelos, Nuno}, title = {Dense Network Expansion for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11858-11867} }
Meta-Personalizing Vision-Language Models To Find Named Instances in Video-
[pdf]
[supp]
[bibtex]@InProceedings{Yeh_2023_CVPR, author = {Yeh, Chun-Hsiao and Russell, Bryan and Sivic, Josef and Heilbron, Fabian Caba and Jenni, Simon}, title = {Meta-Personalizing Vision-Language Models To Find Named Instances in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19123-19132} }
Regularize Implicit Neural Representation by Itself-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhemin and Wang, Hongxia and Meng, Deyu}, title = {Regularize Implicit Neural Representation by Itself}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10280-10288} }
Egocentric Audio-Visual Object Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Chao and Tian, Yapeng and Kumar, Anurag and Xu, Chenliang}, title = {Egocentric Audio-Visual Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22910-22921} }
DropKey for Vision Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Bonan and Hu, Yinhan and Nie, Xuecheng and Han, Congying and Jiang, Xiangjian and Guo, Tiande and Liu, Luoqi}, title = {DropKey for Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22700-22709} }
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model-
[pdf]
[supp]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Zixuan and Guo, Lanqing and Wen, Bihan}, title = {sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1683-1691} }
Meta Architecture for Point Cloud Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Haojia and Zheng, Xiawu and Li, Lijiang and Chao, Fei and Wang, Shanshan and Wang, Yan and Tian, Yonghong and Ji, Rongrong}, title = {Meta Architecture for Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17682-17691} }
Ambiguous Medical Image Segmentation Using Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rahman_2023_CVPR, author = {Rahman, Aimon and Valanarasu, Jeya Maria Jose and Hacihaliloglu, Ilker and Patel, Vishal M.}, title = {Ambiguous Medical Image Segmentation Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11536-11546} }
CIRCLE: Capture in Rich Contextual Environments-
[pdf]
[supp]
[bibtex]@InProceedings{Araujo_2023_CVPR, author = {Ara\'ujo, Jo\~ao Pedro and Li, Jiaman and Vetrivel, Karthik and Agarwal, Rishi and Wu, Jiajun and Gopinath, Deepak and Clegg, Alexander William and Liu, Karen}, title = {CIRCLE: Capture in Rich Contextual Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21211-21221} }
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Lihe and Qi, Lei and Feng, Litong and Zhang, Wayne and Shi, Yinghuan}, title = {Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7236-7246} }
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Paliwal_2023_CVPR, author = {Paliwal, Avinash and Tsarov, Andrii and Kalantari, Nima Khademi}, title = {Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {888-898} }
PyPose: A Library for Robot Learning With Physics-Based Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chen and Gao, Dasong and Xu, Kuan and Geng, Junyi and Hu, Yaoyu and Qiu, Yuheng and Li, Bowen and Yang, Fan and Moon, Brady and Pandey, Abhinav and Aryan and Xu, Jiahe and Wu, Tianhao and He, Haonan and Huang, Daning and Ren, Zhongqiang and Zhao, Shibo and Fu, Taimeng and Reddy, Pranay and Lin, Xiao and Wang, Wenshan and Shi, Jingnan and Talak, Rajat and Cao, Kun and Du, Yi and Wang, Han and Yu, Huai and Wang, Shanzhao and Chen, Siyu and Kashyap, Ananth and Bandaru, Rohan and Dantu, Karthik and Wu, Jiajun and Xie, Lihua and Carlone, Luca and Hutter, Marco and Scherer, Sebastian}, title = {PyPose: A Library for Robot Learning With Physics-Based Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22024-22034} }
Make Landscape Flatter in Differentially Private Federated Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Yifan and Liu, Yingqi and Wei, Kang and Shen, Li and Wang, Xueqian and Tao, Dacheng}, title = {Make Landscape Flatter in Differentially Private Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24552-24562} }
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Oh_2023_CVPR, author = {Oh, Changdae and Hwang, Hyeji and Lee, Hee-young and Lim, YongTaek and Jung, Geunyoung and Jung, Jiyoung and Choi, Hosik and Song, Kyungwoo}, title = {BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24224-24235} }
DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuqing and Wang, Yizhi and Yu, Longhui and Zhu, Yuesheng and Lian, Zhouhui}, title = {DeepVecFont-v2: Exploiting Transformers To Synthesize Vector Fonts With Higher Quality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18320-18328} }
pCON: Polarimetric Coordinate Networks for Neural Scene Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Peters_2023_CVPR, author = {Peters, Henry and Ba, Yunhao and Kadambi, Achuta}, title = {pCON: Polarimetric Coordinate Networks for Neural Scene Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16579-16589} }
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Hyolim and Kim, Hanjung and An, Joungbin and Cho, Minsu and Kim, Seon Joo}, title = {Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6514-6523} }
Visibility Aware Human-Object Interaction Tracking From Single RGB Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Xianghui and Bhatnagar, Bharat Lal and Pons-Moll, Gerard}, title = {Visibility Aware Human-Object Interaction Tracking From Single RGB Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4757-4768} }
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fervers_2023_CVPR, author = {Fervers, Florian and Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer}, title = {Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21621-21631} }
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zongrui and Zheng, Qian and Shi, Boxin and Pan, Gang and Jiang, Xudong}, title = {DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8381-8391} }
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Dong and Wang, Shuang and Zang, Qi and Quan, Dou and Ye, Xiutiao and Jiao, Licheng}, title = {Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11733-11743} }
Continuous Landmark Detection With 3D Queries-
[pdf]
[supp]
[bibtex]@InProceedings{Chandran_2023_CVPR, author = {Chandran, Prashanth and Zoss, Gaspard and Gotardo, Paulo and Bradley, Derek}, title = {Continuous Landmark Detection With 3D Queries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16858-16867} }
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mohammadi_2023_CVPR, author = {Mohammadi, Kiarash and Zhao, He and Zhai, Mengyao and Tung, Frederick}, title = {Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15783-15792} }
Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zhen and Zhang, Zhizhong and Tan, Xin and Liu, Jun and Qu, Yanyun and Xie, Yuan and Ma, Lizhuang}, title = {Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3718-3727} }
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Shuaizheng and Zhang, Xindong and Sun, Lingchen and Liang, Zhetong and Zeng, Hui and Zhang, Lei}, title = {Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13966-13975} }
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Zhijian and Yang, Xinyu and Tang, Haotian and Yang, Shang and Han, Song}, title = {FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1200-1211} }
Unbiased Scene Graph Generation in Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nag_2023_CVPR, author = {Nag, Sayak and Min, Kyle and Tripathi, Subarna and Roy-Chowdhury, Amit K.}, title = {Unbiased Scene Graph Generation in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22803-22813} }
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuan and Yu, Kun and Chen, Chen and Hu, Xiyuan and Peng, Silong}, title = {Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7278-7287} }
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Ming Y. and Chen, Bowen and Zhang, Andrew and Williamson, Drew F. K. and Chen, Richard J. and Ding, Tong and Le, Long Phi and Chuang, Yung-Sung and Mahmood, Faisal}, title = {Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19764-19775} }
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Difei and Zhou, Luowei and Ji, Lei and Zhu, Linchao and Yang, Yi and Shou, Mike Zheng}, title = {MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14773-14783} }
PMR: Prototypical Modal Rebalance for Multimodal Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Yunfeng and Xu, Wenchao and Wang, Haozhao and Wang, Junxiao and Guo, Song}, title = {PMR: Prototypical Modal Rebalance for Multimodal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20029-20038} }
Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Boyang and Ma, Kehua and Wu, Suping and Yuan, Zhixiang}, title = {Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5662-5670} }
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Voynov_2023_CVPR, author = {Voynov, Oleg and Bobrovskikh, Gleb and Karpyshev, Pavel and Galochkin, Saveliy and Ardelean, Andrei-Timotei and Bozhenko, Arseniy and Karmanova, Ekaterina and Kopanev, Pavel and Labutin-Rymsho, Yaroslav and Rakhimov, Ruslan and Safin, Aleksandr and Serpiva, Valerii and Artemov, Alexey and Burnaev, Evgeny and Tsetserukou, Dzmitry and Zorin, Denis}, title = {Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21392-21403} }
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses-
[pdf]
[supp]
[bibtex]@InProceedings{Chelani_2023_CVPR, author = {Chelani, Kunal and Sattler, Torsten and Kahl, Fredrik and Kukelova, Zuzana}, title = {Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13132-13141} }
Learning Anchor Transformations for 3D Garment Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Fang and Li, Zekun and Huang, Shaoli and Weng, Junwu and Zhou, Tianfei and Xie, Guo-Sen and Wang, Jue and Shan, Ying}, title = {Learning Anchor Transformations for 3D Garment Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {491-500} }
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Lilang and Zhang, Jiahang and Liu, Jiaying}, title = {Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2363-2372} }
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yuechen and He, Zexin and Xing, Jinbo and Yao, Xufeng and Jia, Jiaya}, title = {Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4242-4251} }
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360deg-
[pdf]
[supp]
[bibtex]@InProceedings{An_2023_CVPR, author = {An, Sizhe and Xu, Hongyi and Shi, Yichun and Song, Guoxian and Ogras, Umit Y. and Luo, Linjie}, title = {PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360deg}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20950-20959} }
Rethinking Feature-Based Knowledge Distillation for Face Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jingzhi and Guo, Zidong and Li, Hui and Han, Seungju and Baek, Ji-won and Yang, Min and Yang, Ran and Suh, Sungjoo}, title = {Rethinking Feature-Based Knowledge Distillation for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20156-20165} }
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Min_2023_CVPR, author = {Min, Zhixiang and Zhuang, Bingbing and Schulter, Samuel and Liu, Buyu and Dunn, Enrique and Chandraker, Manmohan}, title = {NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21404-21414} }
Tree Instance Segmentation With Temporal Contour Graph-
[pdf]
[supp]
[bibtex]@InProceedings{Firoze_2023_CVPR, author = {Firoze, Adnan and Wingren, Cameron and Yeh, Raymond A. and Benes, Bedrich and Aliaga, Daniel}, title = {Tree Instance Segmentation With Temporal Contour Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2193-2202} }
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories-
[pdf]
[supp]
[bibtex]@InProceedings{Bafghi_2023_CVPR, author = {Bafghi, Reza Akbarian and Gurari, Danna}, title = {A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16261-16270} }
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xiaogeng and Li, Minghui and Wang, Haoyu and Hu, Shengshan and Ye, Dengpan and Jin, Hai and Wu, Libing and Xiao, Chaowei}, title = {Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16363-16372} }
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation-
[pdf]
[supp]
[bibtex]@InProceedings{Williams_2023_CVPR, author = {Williams, Phoenix Neale and Li, Ke}, title = {Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12291-12301} }
Renderable Neural Radiance Map for Visual Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kwon_2023_CVPR, author = {Kwon, Obin and Park, Jeongho and Oh, Songhwai}, title = {Renderable Neural Radiance Map for Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9099-9108} }
Revisiting Reverse Distillation for Anomaly Detection-
[pdf]
[bibtex]@InProceedings{Tien_2023_CVPR, author = {Tien, Tran Dinh and Nguyen, Anh Tuan and Tran, Nguyen Hoang and Huy, Ta Duc and Duong, Soan T.M. and Nguyen, Chanh D. Tr. and Truong, Steven Q. H.}, title = {Revisiting Reverse Distillation for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24511-24520} }
Diffusion-Based Generation, Optimization, and Planning in 3D Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Siyuan and Wang, Zan and Li, Puhao and Jia, Baoxiong and Liu, Tengyu and Zhu, Yixin and Liang, Wei and Zhu, Song-Chun}, title = {Diffusion-Based Generation, Optimization, and Planning in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16750-16761} }
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Jaehoon and Jung, Dongki and Lee, Taejae and Kim, Sangwook and Jung, Youngdong and Manocha, Dinesh and Lee, Donghwan}, title = {TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16674-16684} }
Meta-Causal Learning for Single Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jin and Gao, Zhi and Wu, Xinxiao and Luo, Jiebo}, title = {Meta-Causal Learning for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7683-7692} }
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Yun and Tang, Danhang and Zhang, Yinda and Xue, Xiangyang and Fu, Yanwei}, title = {Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5354-5363} }
Trainable Projected Gradient Method for Robust Fine-Tuning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Junjiao and He, Zecheng and Dai, Xiaoliang and Ma, Chih-Yao and Liu, Yen-Cheng and Kira, Zsolt}, title = {Trainable Projected Gradient Method for Robust Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7836-7845} }
Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details-
[pdf]
[supp]
[bibtex]@InProceedings{Hwang_2023_CVPR, author = {Hwang, Inwoo and Kim, Hyeonwoo and Kim, Young Min}, title = {Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1890-1899} }
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuning and Zhang, Pu and Bai, Lei and Xue, Jianru}, title = {FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-Tail Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1400-1409} }
MP-Former: Mask-Piloted Transformer for Image Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Hao and Li, Feng and Xu, Huaizhe and Huang, Shijia and Liu, Shilong and Ni, Lionel M. and Zhang, Lei}, title = {MP-Former: Mask-Piloted Transformer for Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18074-18083} }
HDR Imaging With Spatially Varying Signal-to-Noise Ratios-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chi_2023_CVPR, author = {Chi, Yiheng and Zhang, Xingguang and Chan, Stanley H.}, title = {HDR Imaging With Spatially Varying Signal-to-Noise Ratios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5724-5734} }
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Sun-Ao and Zhang, Yiheng and Qiu, Zhaofan and Xie, Hongtao and Zhang, Yongdong and Yao, Ting}, title = {Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11319-11328} }
TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Jiacheng and Wang, Hao and Feng, Jiashi and Lin, Guosheng and Yap, Kim-Hui}, title = {TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16805-16815} }
Are Deep Neural Networks SMARTer Than Second Graders?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cherian_2023_CVPR, author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Smith, Kevin A. and Tenenbaum, Joshua B.}, title = {Are Deep Neural Networks SMARTer Than Second Graders?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10834-10844} }
Reliability in Semantic Segmentation: Are We on the Right Track?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{de_Jorge_2023_CVPR, author = {de Jorge, Pau and Volpi, Riccardo and Torr, Philip H.S. and Rogez, Gr\'egory}, title = {Reliability in Semantic Segmentation: Are We on the Right Track?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7173-7182} }
Video Test-Time Adaptation for Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Wei and Mirza, Muhammad Jehanzeb and Kozinski, Mateusz and Possegger, Horst and Kuehne, Hilde and Bischof, Horst}, title = {Video Test-Time Adaptation for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22952-22961} }
Bi-Level Meta-Learning for Few-Shot Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Xiaorong and Song, Xinhang and Jiang, Shuqiang}, title = {Bi-Level Meta-Learning for Few-Shot Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15900-15910} }
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2023_CVPR, author = {Shao, Ruizhi and Zheng, Zerong and Tu, Hanzhang and Liu, Boning and Zhang, Hongwen and Liu, Yebin}, title = {Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16632-16642} }
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bertiche_2023_CVPR, author = {Bertiche, Hugo and Mitra, Niloy J. and Kulkarni, Kuldeep and Huang, Chun-Hao P. and Wang, Tuanfeng Y. and Madadi, Meysam and Escalera, Sergio and Ceylan, Duygu}, title = {Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {459-468} }
Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Ziqian and Tan, Feitong and Huang, Zeng and Sarkar, Kripasindhu and Tang, Danhang and Qiu, Di and Meka, Abhimitra and Du, Ruofei and Dou, Mingsong and Orts-Escolano, Sergio and Pandey, Rohit and Tan, Ping and Beeler, Thabo and Fanello, Sean and Zhang, Yinda}, title = {Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16890-16900} }
Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hu and Chen, Yuanhong and Ma, Congbo and Avery, Jodie and Hull, Louise and Carneiro, Gustavo}, title = {Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15878-15887} }
Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Xinhua and Wu, Yanmin and Jia, Mengxi and Wang, Qian and Zhang, Jian}, title = {Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4947-4957} }
Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mu_2023_CVPR, author = {Mu, Bingxu and Niu, Zhenxing and Wang, Le and Wang, Xue and Miao, Qiguang and Jin, Rong and Hua, Gang}, title = {Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20495-20503} }
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Zhaoyun and Guo, Jiaqi and Sun, Shizhao and Deng, Huayu and Wu, Zhongkai and Mijovic, Vuksan and Yang, Zijiang James and Lou, Jian-Guang and Zhang, Dongmei}, title = {LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18403-18412} }
DisWOT: Student Architecture Search for Distillation WithOut Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Peijie and Li, Lujun and Wei, Zimian}, title = {DisWOT: Student Architecture Search for Distillation WithOut Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11898-11908} }
Stare at What You See: Masked Image Modeling Without Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2023_CVPR, author = {Xue, Hongwei and Gao, Peng and Li, Hongyang and Qiao, Yu and Sun, Hao and Li, Houqiang and Luo, Jiebo}, title = {Stare at What You See: Masked Image Modeling Without Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22732-22741} }
Joint Visual Grounding and Tracking With Natural Language Specification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Li and Zhou, Zikun and Mao, Kaige and He, Zhenyu}, title = {Joint Visual Grounding and Tracking With Natural Language Specification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23151-23160} }
Neural Kaleidoscopic Space Sculpting-
[pdf]
[supp]
[bibtex]@InProceedings{Ahn_2023_CVPR, author = {Ahn, Byeongjoo and De Zeeuw, Michael and Gkioulekas, Ioannis and Sankaranarayanan, Aswin C.}, title = {Neural Kaleidoscopic Space Sculpting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4349-4358} }
Few-Shot Semantic Image Synthesis With Class Affinity Transfer-
[pdf]
[supp]
[bibtex]@InProceedings{Careil_2023_CVPR, author = {Careil, Marl\`ene and Verbeek, Jakob and Lathuili\`ere, St\'ephane}, title = {Few-Shot Semantic Image Synthesis With Class Affinity Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23611-23620} }
Implicit Identity Driven Deepfake Face Swapping Detection-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Baojin and Wang, Zhongyuan and Yang, Jifan and Ai, Jiaxin and Zou, Qin and Wang, Qian and Ye, Dengpan}, title = {Implicit Identity Driven Deepfake Face Swapping Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4490-4499} }
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yixin and Wang, Zilei and He, Weinan}, title = {Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7619-7629} }
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Haiyu and Bezold, Grace and Bhatta, Aman and Bowyer, Kevin W.}, title = {Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8588-8597} }
One-to-Few Label Assignment for End-to-End Dense Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Shuai and Li, Minghan and Li, Ruihuang and He, Chenhang and Zhang, Lei}, title = {One-to-Few Label Assignment for End-to-End Dense Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7350-7359} }
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lo_2023_CVPR, author = {Lo, Shao-Yuan and Oza, Poojan and Chennupati, Sumanth and Galindo, Alejandro and Patel, Vishal M.}, title = {Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10534-10543} }
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Wenhai and Dai, Jifeng and Chen, Zhe and Huang, Zhenhang and Li, Zhiqi and Zhu, Xizhou and Hu, Xiaowei and Lu, Tong and Lu, Lewei and Li, Hongsheng and Wang, Xiaogang and Qiao, Yu}, title = {InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14408-14419} }
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Ping and Zhang, Xingpeng and Li, Ye and Tao, Ju and Xiao, Bin and Wang, Bing and Jiang, Zongjie}, title = {DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15836-15845} }
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones-
[pdf]
[supp]
[bibtex]@InProceedings{Sariyildiz_2023_CVPR, author = {Sar{\i}y{\i}ld{\i}z, Mert B\"ulent and Alahari, Karteek and Larlus, Diane and Kalantidis, Yannis}, title = {Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8011-8021} }
Mind the Label Shift of Augmentation-Based Graph OOD Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Junchi and Liang, Jian and He, Ran}, title = {Mind the Label Shift of Augmentation-Based Graph OOD Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11620-11630} }
Unsupervised Intrinsic Image Decomposition With LiDAR Intensity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sato_2023_CVPR, author = {Sato, Shogo and Yao, Yasuhiro and Yoshida, Taiga and Kaneko, Takuhiro and Ando, Shingo and Shimamura, Jun}, title = {Unsupervised Intrinsic Image Decomposition With LiDAR Intensity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13466-13475} }
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sungyeon and Jeong, Boseung and Kwak, Suha}, title = {HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19903-19912} }
Diffusion Probabilistic Model Made Slim-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Xingyi and Zhou, Daquan and Feng, Jiashi and Wang, Xinchao}, title = {Diffusion Probabilistic Model Made Slim}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22552-22562} }
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Junyi and Ma, Xingchen and Blaschko, Matthew B.}, title = {Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24542-24551} }
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Chuandong and Gao, Chenqiang and Liu, Fangcen and Li, Pengcheng and Meng, Deyu and Gao, Xinbo}, title = {Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23819-23828} }
Interactive and Explainable Region-Guided Radiology Report Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Tanida_2023_CVPR, author = {Tanida, Tim and M\"uller, Philip and Kaissis, Georgios and Rueckert, Daniel}, title = {Interactive and Explainable Region-Guided Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7433-7442} }
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Karim_2023_CVPR, author = {Karim, Rezaul and Zhao, He and Wildes, Richard P. and Siam, Mennatullah}, title = {MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6323-6333} }
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yiqun and Skorokhodov, Ivan and Wonka, Peter}, title = {PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12598-12607} }
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Ziqin and Lei, Yinjie and Zhang, Bowen and Liu, Lingqiao and Liu, Yifan}, title = {ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11175-11185} }
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Haozhe and Zhang, Wentian and Li, Bing and Wu, Haoqian and He, Nanjun and Huang, Yawen and Li, Yuexiang and Ghanem, Bernard and Zheng, Yefeng}, title = {AdaptiveMix: Improving GAN Training via Feature Space Shrinkage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16219-16229} }
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Haoming and Tunanyan, Hazarapet and Wang, Kai and Navasardyan, Shant and Wang, Zhangyang and Shi, Humphrey}, title = {Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14267-14276} }
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Mingu and Song, Heon and Park, Seonwook and Yoo, Donggeun and Pereira, S\'ergio}, title = {Benchmarking Self-Supervised Learning on Diverse Pathology Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3344-3354} }
Planning-Oriented Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Yihan and Yang, Jiazhi and Chen, Li and Li, Keyu and Sima, Chonghao and Zhu, Xizhou and Chai, Siqi and Du, Senyao and Lin, Tianwei and Wang, Wenhai and Lu, Lewei and Jia, Xiaosong and Liu, Qiang and Dai, Jifeng and Qiao, Yu and Li, Hongyang}, title = {Planning-Oriented Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17853-17862} }
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pham_2023_CVPR, author = {Pham, Bang-Dang and Tran, Phong and Tran, Anh and Pham, Cuong and Nguyen, Rang and Hoai, Minh}, title = {HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9843-9852} }
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders-
[pdf]
[supp]
[bibtex]@InProceedings{Sha_2023_CVPR, author = {Sha, Zeyang and He, Xinlei and Yu, Ning and Backes, Michael and Zhang, Yang}, title = {Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16373-16383} }
Document Image Shadow Removal Guided by Color-Aware Background-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Ling and He, Yinghao and Zhang, Qing and Liu, Zheng and Zhang, Xiaolong and Xiao, Chunxia}, title = {Document Image Shadow Removal Guided by Color-Aware Background}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1818-1827} }
Independent Component Alignment for Multi-Task Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Senushkin_2023_CVPR, author = {Senushkin, Dmitry and Patakin, Nikolay and Kuznetsov, Arseny and Konushin, Anton}, title = {Independent Component Alignment for Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20083-20093} }
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision-
[pdf]
[supp]
[bibtex]@InProceedings{Tripathi_2023_CVPR, author = {Tripathi, Aditay and Singh, Rishubh and Chakraborty, Anirban and Shenoy, Pradeep}, title = {Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24470-24479} }
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration-
[pdf]
[supp]
[bibtex]@InProceedings{Hsu_2023_CVPR, author = {Hsu, Wei-Ning and Remez, Tal and Shi, Bowen and Donley, Jacob and Adi, Yossi}, title = {ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18795-18805} }
Improved Distribution Matching for Dataset Condensation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Ganlong and Li, Guanbin and Qin, Yipeng and Yu, Yizhou}, title = {Improved Distribution Matching for Dataset Condensation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7856-7865} }
Feature Separation and Recalibration for Adversarial Robustness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Woo Jae and Cho, Yoonki and Jung, Junsik and Yoon, Sung-Eui}, title = {Feature Separation and Recalibration for Adversarial Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8183-8192} }
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Xiaoshuai and Kundu, Abhijit and Funkhouser, Thomas and Guibas, Leonidas and Su, Hao and Genova, Kyle}, title = {Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8274-8284} }
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Yuqi and Chen, Minghao and Wang, Wenxiao and Wu, Boxi and Li, Ke and Lin, Binbin and Liu, Haifeng and He, Xiaofei}, title = {CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15305-15314} }
Slimmable Dataset Condensation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Songhua and Ye, Jingwen and Yu, Runpeng and Wang, Xinchao}, title = {Slimmable Dataset Condensation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3759-3768} }
Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Junyi and Zhang, Zhilu and Liu, Xiaoyu and Feng, Chaoyu and Wang, Xiaotao and Lei, Lei and Zuo, Wangmeng}, title = {Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9914-9924} }
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Shikang and Chen, Jiachen and Han, Hu and Jiang, Shuqiang}, title = {Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24266-24275} }
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language-
[pdf]
[supp]
[bibtex]@InProceedings{Sanghi_2023_CVPR, author = {Sanghi, Aditya and Fu, Rao and Liu, Vivian and Willis, Karl D.D. and Shayani, Hooman and Khasahmadi, Amir H. and Sridhar, Srinath and Ritchie, Daniel}, title = {CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18339-18348} }
Mask-Free Video Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ke_2023_CVPR, author = {Ke, Lei and Danelljan, Martin and Ding, Henghui and Tai, Yu-Wing and Tang, Chi-Keung and Yu, Fisher}, title = {Mask-Free Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22857-22866} }
Continual Detection Transformer for Incremental Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yaoyao and Schiele, Bernt and Vedaldi, Andrea and Rupprecht, Christian}, title = {Continual Detection Transformer for Incremental Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23799-23808} }
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yu and Li, Yadong and Wang, Hongbin}, title = {Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18878-18887} }
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Beitong and Lu, Jing and Liu, Kerui and Xu, Yunlu and Cheng, Zhanzhan and Niu, Yi}, title = {HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24017-24026} }
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Jiaxian and Li, Junnan and Li, Dongxu and Tiong, Anthony Meng Huat and Li, Boyang and Tao, Dacheng and Hoi, Steven}, title = {From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10867-10877} }
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Qiuhong Anna and Ding, Sijie and Park, Jeong Joon and Sajnani, Rahul and Poulenard, Adrien and Sridhar, Srinath and Guibas, Leonidas}, title = {LEGO-Net: Learning Regular Rearrangements of Objects in Rooms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19037-19047} }
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Junjie and Li, Pengyu and Geng, Yifeng and Xie, Xuansong}, title = {FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23663-23672} }
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Jinkun and Pang, Jiangmiao and Weng, Xinshuo and Khirodkar, Rawal and Kitani, Kris}, title = {Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9686-9696} }
Multi-View Azimuth Stereo via Tangent Space Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Xu and Santo, Hiroaki and Okura, Fumio and Matsushita, Yasuyuki}, title = {Multi-View Azimuth Stereo via Tangent Space Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {825-834} }
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Ajay and Xie, Amber and Abbeel, Pieter}, title = {VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1911-1920} }
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kang_2023_CVPR, author = {Kang, Gi-Cheon and Kim, Sungdong and Kim, Jin-Hwa and Kwak, Donghyun and Zhang, Byoung-Tak}, title = {The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6746-6756} }
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Xiuwei and Wang, Ziwei and Zhou, Jie and Lu, Jiwen}, title = {Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5313-5322} }
Transformer-Based Learned Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Gartner_2023_CVPR, author = {G\"artner, Erik and Metz, Luke and Andriluka, Mykhaylo and Freeman, C. Daniel and Sminchisescu, Cristian}, title = {Transformer-Based Learned Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11970-11979} }
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Somepalli_2023_CVPR, author = {Somepalli, Gowthami and Singla, Vasu and Goldblum, Micah and Geiping, Jonas and Goldstein, Tom}, title = {Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6048-6058} }
Neuralizer: General Neuroimage Analysis Without Re-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Czolbe_2023_CVPR, author = {Czolbe, Steffen and Dalca, Adrian V.}, title = {Neuralizer: General Neuroimage Analysis Without Re-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6217-6230} }
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jie and Zhang, Yongshan and Zhou, Yicong}, title = {Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9925-9934} }
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Simin and Zhang, Shuning and Chen, Gujun and Wang, Dong and Feng, Pu and Wang, Jiakai and Liu, Aishan and Yi, Xin and Liu, Xianglong}, title = {Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12324-12333} }
Visual Prompt Multi-Modal Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Jiawen and Lai, Simiao and Chen, Xin and Wang, Dong and Lu, Huchuan}, title = {Visual Prompt Multi-Modal Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9516-9526} }
Self-Supervised Representation Learning for CAD-
[pdf]
[supp]
[bibtex]@InProceedings{Jones_2023_CVPR, author = {Jones, Benjamin T. and Hu, Michael and Kodnongbua, Milin and Kim, Vladimir G. and Schulz, Adriana}, title = {Self-Supervised Representation Learning for CAD}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21327-21336} }
DETRs With Hybrid Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jia_2023_CVPR, author = {Jia, Ding and Yuan, Yuhui and He, Haodi and Wu, Xiaopei and Yu, Haojun and Lin, Weihong and Sun, Lei and Zhang, Chao and Hu, Han}, title = {DETRs With Hybrid Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19702-19712} }
Dealing With Cross-Task Class Discrimination in Online Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Yiduo and Liu, Bing and Zhao, Dongyan}, title = {Dealing With Cross-Task Class Discrimination in Online Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11878-11887} }
Angelic Patches for Improving Third-Party Object Detector Performance-
[pdf]
[supp]
[bibtex]@InProceedings{Si_2023_CVPR, author = {Si, Wenwen and Li, Shuo and Park, Sangdon and Lee, Insup and Bastani, Osbert}, title = {Angelic Patches for Improving Third-Party Object Detector Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24638-24647} }
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Yinzhen and Wan, Weikang and Zhang, Jialiang and Liu, Haoran and Shan, Zikang and Shen, Hao and Wang, Ruicheng and Geng, Haoran and Weng, Yijia and Chen, Jiayi and Liu, Tengyu and Yi, Li and Wang, He}, title = {UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4737-4746} }
A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Yijia and Xu, Bo and Ouyang, Zhanpeng and Li, Hongdong}, title = {A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {739-748} }
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Da and Gao, Feng and Thattai, Govind and Johnston, Michael and Chang, Kai-Wei}, title = {GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10951-10961} }
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yuan_2023_CVPR, author = {Yuan, Jiakang and Zhang, Bo and Yan, Xiangchao and Chen, Tao and Shi, Botian and Li, Yikang and Qiao, Yu}, title = {Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15599-15608} }
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Xudong and Tiwari, Simran and Huang, Shiyuan and Li, Manling and Shou, Mike Zheng and Ji, Heng and Chang, Shih-Fu}, title = {Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14846-14855} }
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{VS_2023_CVPR, author = {VS, Vibashan and Yu, Ning and Xing, Chen and Qin, Can and Gao, Mingfei and Niebles, Juan Carlos and Patel, Vishal M. and Xu, Ran}, title = {Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23539-23549} }
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhuoyang and Dong, Yuhao and Liu, Yunze and Yi, Li}, title = {Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17661-17670} }
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Bowen and Tremblay, Jonathan and Blukis, Valts and Tyree, Stephen and M\"uller, Thomas and Evans, Alex and Fox, Dieter and Kautz, Jan and Birchfield, Stan}, title = {BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {606-617} }
Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion-
[pdf]
[bibtex]@InProceedings{Cui_2023_CVPR, author = {Cui, Yufeng and Kang, Yimei}, title = {Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17949-17957} }
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Hao and Huang, Jing and Cui, Huili and Lin, Haozhe and Lai, Yu-Kun and Fang, Lu and Li, Kun}, title = {Crowd3D: Towards Hundreds of People Reconstruction From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8937-8946} }
Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Wen_2023_CVPR, author = {Wen, Jie and Liu, Chengliang and Xu, Gehui and Wu, Zhihao and Huang, Chao and Fei, Lunke and Xu, Yong}, title = {Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15712-15721} }
Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ruoshi and Vondrick, Carl}, title = {Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12531-12542} }
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Cheng and Hou, Xinhai and Kondepudi, Akhil and Chowdury, Asadur and Freudiger, Christian W. and Orringer, Daniel A. and Lee, Honglak and Hollon, Todd C.}, title = {Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19798-19808} }
ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Tianyi and Sun, Yifan and Yang, Zongxin and Yang, Yi}, title = {ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19754-19763} }
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Qiu_2023_CVPR, author = {Qiu, Benliu and Li, Hongliang and Wen, Haitao and Qiu, Heqian and Wang, Lanxiao and Meng, Fanman and Wu, Qingbo and Pan, Lili}, title = {CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16016-16025} }
A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting-
[pdf]
[supp]
[bibtex]@InProceedings{Bowman_2023_CVPR, author = {Bowman, Benjamin and Achille, Alessandro and Zancato, Luca and Trager, Matthew and Perera, Pramuditha and Paolini, Giovanni and Soatto, Stefano}, title = {A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14984-14993} }
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiaodan and Chen, Yuefeng and Zhu, Yao and Wang, Shuhui and Zhang, Rong and Xue, Hui}, title = {ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20371-20381} }
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Zeyin and Zhao, Yifan and Shi, Yujun and Peng, Peixi and Yuan, Li and Tian, Yonghong}, title = {Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24183-24192} }
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yuxin and Ma, Zongyang and Zhang, Ziqi and Qi, Zhongang and Yuan, Chunfeng and Shan, Ying and Li, Bing and Hu, Weiming and Qie, Xiaohu and Wu, Jianping}, title = {ViLEM: Visual-Language Error Modeling for Image-Text Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11018-11027} }
Egocentric Auditory Attention Localization in Conversations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ryan_2023_CVPR, author = {Ryan, Fiona and Jiang, Hao and Shukla, Abhinav and Rehg, James M. and Ithapu, Vamsi Krishna}, title = {Egocentric Auditory Attention Localization in Conversations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14663-14674} }
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Huajun and Qiao, Bo and Yang, Lingxiao and Lai, Jianhuang and Xie, Xiaohua}, title = {Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7257-7267} }
AltFreezing for More General Video Face Forgery Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhendong and Bao, Jianmin and Zhou, Wengang and Wang, Weilun and Li, Houqiang}, title = {AltFreezing for More General Video Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4129-4138} }
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Hao-Wei and Xu, Yu-Syuan and Hong, Min-Fong and Tsai, Yi-Min and Kuo, Hsien-Kai and Lee, Chun-Yi}, title = {Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18257-18267} }
Learning Partial Correlation Based Deep Visual Representation for Image Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rahman_2023_CVPR, author = {Rahman, Saimunur and Koniusz, Piotr and Wang, Lei and Zhou, Luping and Moghadam, Peyman and Sun, Changming}, title = {Learning Partial Correlation Based Deep Visual Representation for Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6231-6240} }
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2023_CVPR, author = {Cai, Shaofei and Wang, Zihao and Ma, Xiaojian and Liu, Anji and Liang, Yitao}, title = {Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13734-13744} }
MoDi: Unconditional Motion Synthesis From Diverse Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Raab_2023_CVPR, author = {Raab, Sigal and Leibovitch, Inbal and Li, Peizhuo and Aberman, Kfir and Sorkine-Hornung, Olga and Cohen-Or, Daniel}, title = {MoDi: Unconditional Motion Synthesis From Diverse Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13873-13883} }
Visual Localization Using Imperfect 3D Models From the Internet-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Panek_2023_CVPR, author = {Panek, Vojtech and Kukelova, Zuzana and Sattler, Torsten}, title = {Visual Localization Using Imperfect 3D Models From the Internet}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13175-13186} }
Network-Free, Unsupervised Semantic Segmentation With Synthetic Images-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Qianli and Gadde, Raghudeep and Liao, Wentong and Ramon, Eduard and Martinez, Aleix}, title = {Network-Free, Unsupervised Semantic Segmentation With Synthetic Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23602-23610} }
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Bohao and Tian, Zhuotao and Wu, Xiaoyang and Wang, Chengyao and Liu, Shu and Su, Jingyong and Jia, Jiaya}, title = {Hierarchical Dense Correlation Distillation for Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23641-23651} }
PVO: Panoptic Visual Odometry-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Weicai and Lan, Xinyue and Chen, Shuo and Ming, Yuhang and Yu, Xingyuan and Bao, Hujun and Cui, Zhaopeng and Zhang, Guofeng}, title = {PVO: Panoptic Visual Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9579-9589} }
Generative Diffusion Prior for Unified Image Restoration and Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fei_2023_CVPR, author = {Fei, Ben and Lyu, Zhaoyang and Pan, Liang and Zhang, Junzhe and Yang, Weidong and Luo, Tianyue and Zhang, Bo and Dai, Bo}, title = {Generative Diffusion Prior for Unified Image Restoration and Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9935-9946} }
Real-Time Controllable Denoising for Image and Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhaoyang and Jiang, Yitong and Shao, Wenqi and Wang, Xiaogang and Luo, Ping and Lin, Kaimo and Gu, Jinwei}, title = {Real-Time Controllable Denoising for Image and Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14028-14038} }
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ngo_2023_CVPR, author = {Ngo, Tuan Duc and Hua, Binh-Son and Nguyen, Khoi}, title = {ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13550-13559} }
Hi4D: 4D Instance Segmentation of Close Human Interaction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Yifei and Guo, Chen and Kaufmann, Manuel and Zarate, Juan Jose and Song, Jie and Hilliges, Otmar}, title = {Hi4D: 4D Instance Segmentation of Close Human Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17016-17027} }
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble-
[pdf]
[supp]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Chun-Han and Hung, Wei-Chih and Li, Yuanzhen and Rubinstein, Michael and Yang, Ming-Hsuan and Jampani, Varun}, title = {Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4853-4862} }
IterativePFN: True Iterative Point Cloud Filtering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{de_Silva_Edirimuni_2023_CVPR, author = {de Silva Edirimuni, Dasith and Lu, Xuequan and Shao, Zhiwen and Li, Gang and Robles-Kelly, Antonio and He, Ying}, title = {IterativePFN: True Iterative Point Cloud Filtering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13530-13539} }
Computationally Budgeted Continual Learning: What Does Matter?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Prabhu_2023_CVPR, author = {Prabhu, Ameya and Al Kader Hammoud, Hasan Abed and Dokania, Puneet K. and Torr, Philip H.S. and Lim, Ser-Nam and Ghanem, Bernard and Bibi, Adel}, title = {Computationally Budgeted Continual Learning: What Does Matter?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3698-3707} }
Decentralized Learning With Multi-Headed Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhmoginov_2023_CVPR, author = {Zhmoginov, Andrey and Sandler, Mark and Miller, Nolan and Kristiansen, Gus and Vladymyrov, Max}, title = {Decentralized Learning With Multi-Headed Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8053-8063} }
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2023_CVPR, author = {Xiang, Tiange and Zhang, Yixiao and Lu, Yongyi and Yuille, Alan L. and Zhang, Chaoyi and Cai, Weidong and Zhou, Zongwei}, title = {SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23890-23901} }
CF-Font: Content Fusion for Few-Shot Font Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chi and Zhou, Min and Ge, Tiezheng and Jiang, Yuning and Bao, Hujun and Xu, Weiwei}, title = {CF-Font: Content Fusion for Few-Shot Font Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1858-1867} }
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Liangzu and K\"ummerle, Christian and Vidal, Ren\'e}, title = {On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17808-17818} }
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Wenbin and Jamonnak, Suphanut and Gou, Liang and Ren, Liu}, title = {CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11207-11216} }
Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Jiaqi and Wang, Siwei and Dong, Zhibin and Liu, Xinwang and Zhu, En}, title = {Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11600-11609} }
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Congqi and Lu, Yue and Wang, Peng and Zhang, Yanning}, title = {A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20392-20401} }
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yuxiao and Yuan, Jianbo and Tian, Yu and Geng, Shijie and Li, Xinyu and Zhou, Ding and Metaxas, Dimitris N. and Yang, Hongxia}, title = {Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15095-15104} }
3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Lei and Koniusz, Piotr}, title = {3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5620-5631} }
HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Shixiang and Chen, Cheng and Xie, Qingsong and Chen, Meilin and Wang, Yizhou and Ci, Yuanzheng and Bai, Lei and Zhu, Feng and Yang, Haiyang and Yi, Li and Zhao, Rui and Ouyang, Wanli}, title = {HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21970-21982} }
Heterogeneous Continual Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Madaan_2023_CVPR, author = {Madaan, Divyam and Yin, Hongxu and Byeon, Wonmin and Kautz, Jan and Molchanov, Pavlo}, title = {Heterogeneous Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15985-15995} }
Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Heng and Pavone, Marco}, title = {Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8947-8958} }
Transformer Scale Gate for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Hengcan and Hayat, Munawar and Cai, Jianfei}, title = {Transformer Scale Gate for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3051-3060} }
Deep Graph Reprogramming-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jing_2023_CVPR, author = {Jing, Yongcheng and Yuan, Chongbin and Ju, Li and Yang, Yiding and Wang, Xinchao and Tao, Dacheng}, title = {Deep Graph Reprogramming}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24345-24354} }
Compacting Binary Neural Networks by Sparse Kernel Selection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yikai and Huang, Wenbing and Dong, Yinpeng and Sun, Fuchun and Yao, Anbang}, title = {Compacting Binary Neural Networks by Sparse Kernel Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24374-24383} }
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets-
[pdf]
[supp]
[bibtex]@InProceedings{Liao_2023_CVPR, author = {Liao, Peng and Jin, Yaochu and Du, Wenli}, title = {EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3643-3653} }
3D-Aware Multi-Class Image-to-Image Translation With NeRFs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Senmao and van de Weijer, Joost and Wang, Yaxing and Khan, Fahad Shahbaz and Liu, Meiqin and Yang, Jian}, title = {3D-Aware Multi-Class Image-to-Image Translation With NeRFs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12652-12662} }
Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator-
[pdf]
[supp]
[bibtex]@InProceedings{Cui_2023_CVPR, author = {Cui, Jiali and Wu, Ying Nian and Han, Tian}, title = {Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3603-3612} }
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Zesen and Ye, Mang}, title = {Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9548-9558} }
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding-
[pdf]
[supp]
[bibtex]@InProceedings{Alexandre_2023_CVPR, author = {Alexandre, David and Hang, Hsueh-Ming and Peng, Wen-Hsiao}, title = {Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10249-10258} }
Benchmarking Robustness of 3D Object Detection to Common Corruptions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Yinpeng and Kang, Caixin and Zhang, Jinlai and Zhu, Zijian and Wang, Yikai and Yang, Xiao and Su, Hang and Wei, Xingxing and Zhu, Jun}, title = {Benchmarking Robustness of 3D Object Detection to Common Corruptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1022-1032} }
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Liulei and Wang, Wenguan and Zhou, Tianfei and Li, Jianwu and Yang, Yi}, title = {Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18706-18716} }
Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zijiao and Qing, Jiaxin and Xiang, Tiange and Yue, Wan Lin and Zhou, Juan Helen}, title = {Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22710-22720} }
PointAvatar: Deformable Point-Based Head Avatars From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Yufeng and Yifan, Wang and Wetzstein, Gordon and Black, Michael J. and Hilliges, Otmar}, title = {PointAvatar: Deformable Point-Based Head Avatars From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21057-21067} }
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tong_2023_CVPR, author = {Tong, Jinguang and Muthu, Sundaram and Maken, Fahira Afzal and Nguyen, Chuong and Li, Hongdong}, title = {Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12555-12564} }
OrienterNet: Visual Localization in 2D Public Maps With Neural Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sarlin_2023_CVPR, author = {Sarlin, Paul-Edouard and DeTone, Daniel and Yang, Tsun-Yi and Avetisyan, Armen and Straub, Julian and Malisiewicz, Tomasz and Bul\`o, Samuel Rota and Newcombe, Richard and Kontschieder, Peter and Balntas, Vasileios}, title = {OrienterNet: Visual Localization in 2D Public Maps With Neural Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21632-21642} }
PMatch: Paired Masked Image Modeling for Dense Geometric Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Shengjie and Liu, Xiaoming}, title = {PMatch: Paired Masked Image Modeling for Dense Geometric Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21909-21918} }
Neural Voting Field for Camera-Space 3D Hand Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Lin and Lin, Chung-Ching and Lin, Kevin and Liang, Lin and Wang, Lijuan and Yuan, Junsong and Liu, Zicheng}, title = {Neural Voting Field for Camera-Space 3D Hand Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8969-8978} }
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Xiaoyu and Huang, Po-Yao and Liang, Junwei and de Melo, Celso M. and Hauptmann, Alexander G.}, title = {STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1526-1536} }
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zizheng and Huang, Jie and Chang, Jiahao and Zhou, Man and Yu, Hu and Zhang, Jinghao and Zhao, Feng}, title = {Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14059-14070} }
High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Chao and Zhu, Junwei and Zhang, Jiangning and Han, Yue and Chu, Wenqing and Tai, Ying and Wang, Chengjie and Xie, Zhifeng and Liu, Yong}, title = {High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6609-6619} }
Masked and Adaptive Transformer for Exemplar Based Image Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Chang and Gao, Fei and Ma, Biao and Lin, Yuhao and Wang, Nannan and Xu, Gang}, title = {Masked and Adaptive Transformer for Exemplar Based Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22418-22427} }
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Tianyu and Ferenczi, Bryce and Purkait, Pulak and Drummond, Tom and Rezatofighi, Hamid and van den Hengel, Anton}, title = {Knowledge Combination To Learn Rotated Detection Without Rotated Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15518-15527} }
Teaching Matters: Investigating the Role of Supervision in Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Walmer_2023_CVPR, author = {Walmer, Matthew and Suri, Saksham and Gupta, Kamal and Shrivastava, Abhinav}, title = {Teaching Matters: Investigating the Role of Supervision in Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7486-7496} }
Imagic: Text-Based Real Image Editing With Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kawar_2023_CVPR, author = {Kawar, Bahjat and Zada, Shiran and Lang, Oran and Tov, Omer and Chang, Huiwen and Dekel, Tali and Mosseri, Inbar and Irani, Michal}, title = {Imagic: Text-Based Real Image Editing With Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6007-6017} }
Pointersect: Neural Rendering With Cloud-Ray Intersection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Jen-Hao Rick and Chen, Wei-Yu and Ranjan, Anurag and Yi, Kwang Moo and Tuzel, Oncel}, title = {Pointersect: Neural Rendering With Cloud-Ray Intersection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8359-8369} }
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Long_2023_CVPR, author = {Long, Sifan and Zhao, Zhen and Pi, Jimin and Wang, Shengsheng and Wang, Jingdong}, title = {Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10334-10343} }
You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?-
[pdf]
[supp]
[bibtex]@InProceedings{Yuan_2023_CVPR, author = {Yuan, Zenghui and Zhou, Pan and Zou, Kai and Cheng, Yu}, title = {You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24605-24615} }
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chow_2023_CVPR, author = {Chow, Ka-Ho and Liu, Ling and Wei, Wenqi and Ilhan, Fatih and Wu, Yanzhao}, title = {STDLens: Model Hijacking-Resilient Federated Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16343-16351} }
Contrastive Grouping With Transformer for Referring Image Segmentation-
[pdf]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Jiajin and Zheng, Ge and Shi, Cheng and Yang, Sibei}, title = {Contrastive Grouping With Transformer for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23570-23580} }
MagicPony: Learning Articulated 3D Animals in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Shangzhe and Li, Ruining and Jakab, Tomas and Rupprecht, Christian and Vedaldi, Andrea}, title = {MagicPony: Learning Articulated 3D Animals in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8792-8802} }
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Grainger_2023_CVPR, author = {Grainger, Ryan and Paniagua, Thomas and Song, Xi and Cuntoor, Naresh and Lee, Mun Wai and Wu, Tianfu}, title = {PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18568-18578} }
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Xindi and Lau, KwunFung and Ferroni, Francesco and O\v{s}ep, Aljo\v{s}a and Ramanan, Deva}, title = {Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17514-17523} }
LightPainter: Interactive Portrait Relighting With Freehand Scribble-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mei_2023_CVPR, author = {Mei, Yiqun and Zhang, He and Zhang, Xuaner and Zhang, Jianming and Shu, Zhixin and Wang, Yilin and Wei, Zijun and Yan, Shi and Jung, HyunJoon and Patel, Vishal M.}, title = {LightPainter: Interactive Portrait Relighting With Freehand Scribble}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {195-205} }
Affordances From Human Videos as a Versatile Representation for Robotics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bahl_2023_CVPR, author = {Bahl, Shikhar and Mendonca, Russell and Chen, Lili and Jain, Unnat and Pathak, Deepak}, title = {Affordances From Human Videos as a Versatile Representation for Robotics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13778-13790} }
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Chao and Liu, Yu-Shen and Han, Zhizhong}, title = {Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17712-17723} }
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhen and Zhu, Zuo-Liang and Han, Ling-Hao and Hou, Qibin and Guo, Chun-Le and Cheng, Ming-Ming}, title = {AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9801-9810} }
Vision Transformers Are Parameter-Efficient Audio-Visual Learners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Yan-Bo and Sung, Yi-Lin and Lei, Jie and Bansal, Mohit and Bertasius, Gedas}, title = {Vision Transformers Are Parameter-Efficient Audio-Visual Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2299-2309} }
Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Jinshan and Xu, Boming and Dong, Jiangxin and Ge, Jianjun and Tang, Jinhui}, title = {Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22191-22200} }
Training Debiased Subnetworks With Contrastive Weight Pruning-
[pdf]
[supp]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Geon Yeong and Lee, Sangmin and Lee, Sang Wan and Ye, Jong Chul}, title = {Training Debiased Subnetworks With Contrastive Weight Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7929-7938} }
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xuanyao and Liu, Zhijian and Tang, Haotian and Yi, Li and Zhao, Hang and Han, Song}, title = {SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2061-2070} }
Prototype-Based Embedding Network for Scene Graph Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Chaofan and Lyu, Xinyu and Gao, Lianli and Dai, Bo and Song, Jingkuan}, title = {Prototype-Based Embedding Network for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22783-22792} }
Toward RAW Object Detection: A New Benchmark and a New Model-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Ruikang and Chen, Chang and Peng, Jingyang and Li, Cheng and Huang, Yibin and Song, Fenglong and Yan, Youliang and Xiong, Zhiwei}, title = {Toward RAW Object Detection: A New Benchmark and a New Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13384-13393} }
Music-Driven Group Choreography-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_2023_CVPR, author = {Le, Nhat and Pham, Thang and Do, Tuong and Tjiputra, Erman and Tran, Quang D. and Nguyen, Anh}, title = {Music-Driven Group Choreography}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8673-8682} }
Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Mengyuan and Gao, Junyu and Xu, Changsheng}, title = {Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14741-14750} }
Efficient Movie Scene Detection Using State-Space Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Islam_2023_CVPR, author = {Islam, Md Mohaiminul and Hasan, Mahmudul and Athrey, Kishan Shamsundar and Braskich, Tony and Bertasius, Gedas}, title = {Efficient Movie Scene Detection Using State-Space Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18749-18758} }
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline-
[pdf]
[supp]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Wei and Li, Jingjing and Bian, Cheng and Zhou, Zongwei and Zhao, Jiaying and Yuille, Alan L. and Cheng, Li}, title = {Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1094-1104} }
Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Kaiyuan and Li, Yunheng and Liu, Shenglan and Tan, Chenwei and Shao, Zihang}, title = {Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6503-6513} }
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Yubin and He, Yuze and Li, Yanghao and Li, Jisheng and Han, Yuxing and Wen, Jiangtao and Liu, Yong-Jin}, title = {Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22627-22637} }
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Zhenglin and Li, Huaxia and Liu, Hong and Wang, Nanyang and Yu, Gang and Ji, Rongrong}, title = {STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15475-15484} }
A Meta-Learning Approach to Predicting Performance and Data Requirements-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jain_2023_CVPR, author = {Jain, Achin and Swaminathan, Gurumurthy and Favaro, Paolo and Yang, Hao and Ravichandran, Avinash and Harutyunyan, Hrayr and Achille, Alessandro and Dabeer, Onkar and Schiele, Bernt and Swaminathan, Ashwin and Soatto, Stefano}, title = {A Meta-Learning Approach to Predicting Performance and Data Requirements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3623-3632} }
Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jiadong and Qian, Xinyuan and Zhang, Malu and Tan, Robby T. and Li, Haizhou}, title = {Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14653-14662} }
Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aoshima_2023_CVPR, author = {Aoshima, Takehiro and Matsubara, Takashi}, title = {Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5957-5967} }
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Yuhui and Pan, Chen and Wang, Guoqing and Yang, Yang and Wei, Jiwei and Li, Chongyi and Shen, Heng Tao}, title = {Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1662-1671} }
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network-
[pdf]
[supp]
[bibtex]@InProceedings{Huynh_2023_CVPR, author = {Huynh, Chuong and Zhou, Yuqian and Lin, Zhe and Barnes, Connelly and Shechtman, Eli and Amirghodsi, Sohrab and Shrivastava, Abhinav}, title = {SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14518-14527} }
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Wan_2023_CVPR, author = {Wan, Ziyu and Richardt, Christian and Bo\v{z}i\v{c}, Alja\v{z} and Li, Chao and Rengarajan, Vijay and Nam, Seonghyeon and Xiang, Xiaoyu and Li, Tuotuo and Zhu, Bo and Ranjan, Rakesh and Liao, Jing}, title = {Learning Neural Duplex Radiance Fields for Real-Time View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8307-8316} }
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xiaohang and Chen, Xuanhong and Ni, Bingbing and Wang, Hang and Tong, Zhengyan and Liu, Yutian}, title = {Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1786-1795} }
Towards Modality-Agnostic Person Re-Identification With Descriptive Query-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Cuiqun and Ye, Mang and Jiang, Ding}, title = {Towards Modality-Agnostic Person Re-Identification With Descriptive Query}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15128-15137} }
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Aming and Deng, Cheng}, title = {Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23956-23965} }
Occlusion-Free Scene Recovery via Neural Radiance Fields-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Chengxuan and Wan, Renjie and Tang, Yunkai and Shi, Boxin}, title = {Occlusion-Free Scene Recovery via Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20722-20731} }
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Ying}, title = {OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3924-3933} }
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions-
[pdf]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Weijia and Hou, Saihui and Zhang, Chunjie and Cao, Chunshui and Liu, Xu and Huang, Yongzhen and Zhao, Yao}, title = {An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13824-13833} }
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Xiwen and Niu, Minzhe and Han, Jianhua and Xu, Hang and Xu, Chunjing and Liang, Xiaodan}, title = {Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9611-9621} }
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Otani_2023_CVPR, author = {Otani, Mayu and Togashi, Riku and Sawai, Yu and Ishigami, Ryosuke and Nakashima, Yuta and Rahtu, Esa and Heikkil\"a, Janne and Satoh, Shin{\textquoteright}ichi}, title = {Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14277-14286} }
Semi-Supervised Domain Adaptation With Source Label Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Yu-Chu and Lin, Hsuan-Tien}, title = {Semi-Supervised Domain Adaptation With Source Label Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24100-24109} }
Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhiyang and Zhang, Yu and Zou, Dongqing and Chen, Xijun and Ren, Jimmy S. and Ren, Shunqing}, title = {Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22159-22168} }
FlowGrad: Controlling the Output of Generative ODEs With Gradients-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Xingchao and Wu, Lemeng and Zhang, Shujian and Gong, Chengyue and Ping, Wei and Liu, Qiang}, title = {FlowGrad: Controlling the Output of Generative ODEs With Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24335-24344} }
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions-
[pdf]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Yurui and Wang, Tianyu and Fu, Xueyang and Yang, Xuanyu and Guo, Xin and Dai, Jifeng and Qiao, Yu and Hu, Xiaowei}, title = {Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21747-21758} }
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yuhan and Dou, Yishun and Chen, Xuanhong and Ni, Bingbing and Sun, Yilin and Liu, Yutian and Wang, Fuzhen}, title = {Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16784-16794} }
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zicheng and Zhao, Zhen and Xing, Xiaoxia and Xu, Dong and Kong, Xiangyu and Zhou, Luping}, title = {Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19585-19595} }
Learning a 3D Morphable Face Reflectance Model From Low-Cost Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Yuxuan and Wang, Zhibo and Xu, Feng}, title = {Learning a 3D Morphable Face Reflectance Model From Low-Cost Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8598-8608} }
SCoDA: Domain Adaptive Shape Completion for Real Scans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Yushuang and Yan, Zizheng and Chen, Ce and Wei, Lai and Li, Xiao and Li, Guanbin and Li, Yihao and Cui, Shuguang and Han, Xiaoguang}, title = {SCoDA: Domain Adaptive Shape Completion for Real Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17630-17641} }
Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Si-Yuan and Zhang, Runmin and Luo, Lun and Yu, Beinan and Sheng, Zehua and Li, Junwei and Shen, Hui-Liang}, title = {Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9833-9842} }
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Jingsen and Huo, Yuchi and Ye, Qi and Luan, Fujun and Li, Jifan and Xi, Dianbing and Wang, Lisha and Tang, Rui and Hua, Wei and Bao, Hujun and Wang, Rui}, title = {I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12489-12498} }
DLBD: A Self-Supervised Direct-Learned Binary Descriptor-
[pdf]
[bibtex]@InProceedings{Xiao_2023_CVPR, author = {Xiao, Bin and Hu, Yang and Liu, Bo and Bi, Xiuli and Li, Weisheng and Gao, Xinbo}, title = {DLBD: A Self-Supervised Direct-Learned Binary Descriptor}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15846-15855} }
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiao_2023_CVPR, author = {Qiao, Pengchong and Wei, Zhidan and Wang, Yu and Wang, Zhennan and Song, Guoli and Xu, Fan and Ji, Xiangyang and Liu, Chang and Chen, Jie}, title = {Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15465-15474} }
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Agaram_2023_CVPR, author = {Agaram, Rohith and Dewan, Shaurya and Sajnani, Rahul and Poulenard, Adrien and Krishna, Madhava and Sridhar, Srinath}, title = {Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4500-4510} }
TransFlow: Transformer As Flow Learner-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Yawen and Wang, Qifan and Ma, Siqi and Geng, Tong and Chen, Yingjie Victor and Chen, Huaijin and Liu, Dongfang}, title = {TransFlow: Transformer As Flow Learner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18063-18073} }
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhen and Wang, Lingli and Cheng, Mofang and Pan, Cihui and Yang, Jiaqi}, title = {Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12499-12509} }
AutoFocusFormer: Image Segmentation off the Grid-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ziwen_2023_CVPR, author = {Ziwen, Chen and Patnaik, Kaushik and Zhai, Shuangfei and Wan, Alvin and Ren, Zhile and Schwing, Alexander G. and Colburn, Alex and Fuxin, Li}, title = {AutoFocusFormer: Image Segmentation off the Grid}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18227-18236} }
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Tao_2023_CVPR, author = {Tao, Ran and Chen, Hao and Savvides, Marios}, title = {Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15752-15761} }
SMPConv: Self-Moving Point Representations for Continuous Convolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Sanghyeon and Park, Eunbyung}, title = {SMPConv: Self-Moving Point Representations for Continuous Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10289-10299} }
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search-
[pdf]
[supp]
[bibtex]@InProceedings{Shamshad_2023_CVPR, author = {Shamshad, Fahad and Naseer, Muzammal and Nandakumar, Karthik}, title = {CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20595-20605} }
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Jingqiu and Huang, Linjiang and Wang, Liang and Liu, Si and Li, Hongsheng}, title = {Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23003-23012} }
PRISE: Demystifying Deep Lucas-Kanade With Strongly Star-Convex Constraints for Multimodel Image Alignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yiqing and Huang, Xinming and Zhang, Ziming}, title = {PRISE: Demystifying Deep Lucas-Kanade With Strongly Star-Convex Constraints for Multimodel Image Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13187-13197} }
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bannur_2023_CVPR, author = {Bannur, Shruthi and Hyland, Stephanie and Liu, Qianchu and P\'erez-Garc{\'\i}a, Fernando and Ilse, Maximilian and Castro, Daniel C. and Boecking, Benedikt and Sharma, Harshita and Bouzid, Kenza and Thieme, Anja and Schwaighofer, Anton and Wetscherek, Maria and Lungren, Matthew P. and Nori, Aditya and Alvarez-Valle, Javier and Oktay, Ozan}, title = {Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15016-15027} }
Simple Cues Lead to a Strong Multi-Object Tracker-
[pdf]
[supp]
[bibtex]@InProceedings{Seidenschwarz_2023_CVPR, author = {Seidenschwarz, Jenny and Bras\'o, Guillem and Serrano, V{\'\i}ctor Castro and Elezi, Ismail and Leal-Taix\'e, Laura}, title = {Simple Cues Lead to a Strong Multi-Object Tracker}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13813-13823} }
Marching-Primitives: Shape Abstraction From Signed Distance Function-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Weixiao and Wu, Yuwei and Ruan, Sipu and Chirikjian, Gregory S.}, title = {Marching-Primitives: Shape Abstraction From Signed Distance Function}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8771-8780} }
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing-
[pdf]
[supp]
[bibtex]@InProceedings{Lim_2023_CVPR, author = {Lim, Jongin and Kim, Youngdong and Kim, Byungjai and Ahn, Chanho and Shin, Jinwoo and Yang, Eunho and Han, Seungju}, title = {BiasAdv: Bias-Adversarial Augmentation for Model Debiasing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3832-3841} }
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zixiang and Bai, Haowen and Zhang, Jiangshe and Zhang, Yulun and Xu, Shuang and Lin, Zudi and Timofte, Radu and Van Gool, Luc}, title = {CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5906-5916} }
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Ding and Ye, Mang}, title = {Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2787-2797} }
REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Ziniu and Iscen, Ahmet and Sun, Chen and Wang, Zirui and Chang, Kai-Wei and Sun, Yizhou and Schmid, Cordelia and Ross, David A. and Fathi, Alireza}, title = {REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23369-23379} }
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Patel_2023_CVPR, author = {Patel, Gaurav and Mopuri, Konda Reddy and Qiu, Qiang}, title = {Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7786-7794} }
Why Is the Winner the Best?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eisenmann_2023_CVPR, author = {Eisenmann, Matthias and Reinke, Annika and Weru, Vivienn and Tizabi, Minu D. and Isensee, Fabian and Adler, Tim J. and Ali, Sharib and Andrearczyk, Vincent and Aubreville, Marc and Baid, Ujjwal and Bakas, Spyridon and Balu, Niranjan and Bano, Sophia and Bernal, Jorge and Bodenstedt, Sebastian and Casella, Alessandro and Cheplygina, Veronika and Daum, Marie and de Bruijne, Marleen and Depeursinge, Adrien and Dorent, Reuben and Egger, Jan and Ellis, David G. and Engelhardt, Sandy and Ganz, Melanie and Ghatwary, Noha and Girard, Gabriel and Godau, Patrick and Gupta, Anubha and Hansen, Lasse and Harada, Kanako and Heinrich, Mattias P. and Heller, Nicholas and Hering, Alessa and Huaulm\'e, Arnaud and Jannin, Pierre and Kavur, Ali Emre and Kodym, Old\v{r}ich and Kozubek, Michal and Li, Jianning and Li, Hongwei and Ma, Jun and Mart{\'\i}n-Isla, Carlos and Menze, Bjoern and Noble, Alison and Oreiller, Valentin and Padoy, Nicolas and Pati, Sarthak and Payette, Kelly and R\"adsch, Tim and Rafael-Pati\~no, Jonathan and Bawa, Vivek Singh and Speidel, Stefanie and Sudre, Carole H. and van Wijnen, Kimberlin and Wagner, Martin and Wei, Donglai and Yamlahi, Amine and Yap, Moi Hoon and Yuan, Chun and Zenk, Maximilian and Zia, Aneeq and Zimmerer, David and Aydogan, Dogu Baran and Bhattarai, Binod and Bloch, Louise and Br\"ungel, Raphael and Cho, Jihoon and Choi, Chanyeol and Dou, Qi and Ezhov, Ivan and Friedrich, Christoph M. and Fuller, Clifton D. and Gaire, Rebati Raman and Galdran, Adrian and Faura, \'Alvaro Garc{\'\i}a and Grammatikopoulou, Maria and Hong, SeulGi and Jahanifar, Mostafa and Jang, Ikbeom and Kadkhodamohammadi, Abdolrahim and Kang, Inha and Kofler, Florian and Kondo, Satoshi and Kuijf, Hugo and Li, Mingxing and Luu, Minh and Martin\v{c}i\v{c}, Toma\v{z} and Morais, Pedro and Naser, Mohamed A. and Oliveira, Bruno and Owen, David and Pang, Subeen and Park, Jinah and Park, Sung-Hong and Plotka, Szymon and Puybareau, Elodie and Rajpoot, Nasir and Ryu, Kanghyun and Saeed, Numan and Shephard, Adam and Shi, Pengcheng and \v{S}tepec, Dejan and Subedi, Ronast and Tochon, Guillaume and Torres, Helena R. and Urien, Helene and Vila\c{c}a, Jo\~ao L. and Wahid, Kareem A. and Wang, Haojie and Wang, Jiacheng and Wang, Liansheng and Wang, Xiyue and Wiestler, Benedikt and Wodzinski, Marek and Xia, Fangfang and Xie, Juanying and Xiong, Zhiwei and Yang, Sen and Yang, Yanwu and Zhao, Zixuan and Maier-Hein, Klaus and J\"ager, Paul F. and Kopp-Schneider, Annette and Maier-Hein, Lena}, title = {Why Is the Winner the Best?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19955-19966} }
HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Ting and Li, Yehao and Pan, Yingwei and Mei, Tao}, title = {HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21846-21855} }
PointVector: A Vector Representation in Point Cloud Analysis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Xin and Zhang, WenYu and Ding, Qing and Zhang, XinMing}, title = {PointVector: A Vector Representation in Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9455-9465} }
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Cong and He, Yonghao and Peng, Junran and Zhang, Qian and Sui, Wei and Zhang, Zhaoxiang}, title = {BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9590-9599} }
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zhengwei and Lin, Meng and Zhong, Xian and Wu, Yu and Wang, Zheng}, title = {Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1472-1481} }
Use Your Head: Improving Long-Tail Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Perrett_2023_CVPR, author = {Perrett, Toby and Sinha, Saptarshi and Burghardt, Tilo and Mirmehdi, Majid and Damen, Dima}, title = {Use Your Head: Improving Long-Tail Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2415-2425} }
Revisiting the P3P Problem-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2023_CVPR, author = {Ding, Yaqing and Yang, Jian and Larsson, Viktor and Olsson, Carl and \r{A}str\"om, Kalle}, title = {Revisiting the P3P Problem}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4872-4880} }
Generic-to-Specific Distillation of Masked Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Wei and Peng, Zhiliang and Dong, Li and Wei, Furu and Jiao, Jianbin and Ye, Qixiang}, title = {Generic-to-Specific Distillation of Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15996-16005} }
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Shuhong and Zhang, Kevin and Shi, Yichun and Wang, Heng and Zhu, Yiheng and Song, Guoxian and An, Sizhe and Kristjansson, Janus and Yang, Xiao and Zwicker, Matthias}, title = {PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21068-21077} }
Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Cong_2023_CVPR, author = {Cong, Ruixuan and Yang, Da and Chen, Rongshan and Wang, Sizhe and Cui, Zhenglong and Sheng, Hao}, title = {Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9172-9181} }
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dave_2023_CVPR, author = {Dave, Ishan Rajendrakumar and Rizve, Mamshad Nayeem and Chen, Chen and Shah, Mubarak}, title = {TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2341-2352} }
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yifan and Holynski, Aleksander and Zhang, Xiuming and Zhang, Xuaner}, title = {SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20792-20802} }
Private Image Generation With Dual-Purpose Auxiliary Classifier-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Chen and Liu, Daochang and Ma, Siqi and Nepal, Surya and Xu, Chang}, title = {Private Image Generation With Dual-Purpose Auxiliary Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20361-20370} }
3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture-
[pdf]
[supp]
[bibtex]@InProceedings{Naik_2023_CVPR, author = {Naik, Hemal and Chan, Alex Hoi Hang and Yang, Junran and Delacoux, Mathilde and Couzin, Iain D. and Kano, Fumihiro and Nagy, M\'at\'e}, title = {3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21274-21284} }
SOOD: Towards Semi-Supervised Oriented Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hua_2023_CVPR, author = {Hua, Wei and Liang, Dingkang and Li, Jingyu and Liu, Xiaolong and Zou, Zhikang and Ye, Xiaoqing and Bai, Xiang}, title = {SOOD: Towards Semi-Supervised Oriented Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15558-15567} }
Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hachiuma_2023_CVPR, author = {Hachiuma, Ryo and Sato, Fumiaki and Sekii, Taiki}, title = {Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22962-22971} }
Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zins_2023_CVPR, author = {Zins, Pierre and Xu, Yuanlu and Boyer, Edmond and Wuhrer, Stefanie and Tung, Tony}, title = {Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16696-16706} }
Beyond mAP: Towards Better Evaluation of Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jena_2023_CVPR, author = {Jena, Rohit and Zhornyak, Lukas and Doiphode, Nehal and Chaudhari, Pratik and Buch, Vivek and Gee, James and Shi, Jianbo}, title = {Beyond mAP: Towards Better Evaluation of Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11309-11318} }
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Ruicheng and Li, Chongyi and Chen, Huaijin and Li, Shuai and Gu, Jinwei and Loy, Chen Change}, title = {Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5013-5022} }
Improving Cross-Modal Retrieval With Set of Diverse Embeddings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Dongwon and Kim, Namyup and Kwak, Suha}, title = {Improving Cross-Modal Retrieval With Set of Diverse Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23422-23431} }
BASiS: Batch Aligned Spectral Embedding Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Streicher_2023_CVPR, author = {Streicher, Or and Cohen, Ido and Gilboa, Guy}, title = {BASiS: Batch Aligned Spectral Embedding Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10396-10405} }
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views-
[pdf]
[supp]
[bibtex]@InProceedings{Bansal_2023_CVPR, author = {Bansal, Aayush and Zollh\"ofer, Michael}, title = {Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {290-299} }
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Minchul and Liu, Feng and Jain, Anil and Liu, Xiaoming}, title = {DCFace: Synthetic Face Generation With Dual Condition Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12715-12725} }
CRAFT: Concept Recursive Activation FacTorization for Explainability-
[pdf]
[supp]
[bibtex]@InProceedings{Fel_2023_CVPR, author = {Fel, Thomas and Picard, Agustin and B\'ethune, Louis and Boissin, Thibaut and Vigouroux, David and Colin, Julien and Cad\`ene, R\'emi and Serre, Thomas}, title = {CRAFT: Concept Recursive Activation FacTorization for Explainability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2711-2721} }
Policy Adaptation From Foundation Model Feedback-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2023_CVPR, author = {Ge, Yuying and Macaluso, Annabella and Li, Li Erran and Luo, Ping and Wang, Xiaolong}, title = {Policy Adaptation From Foundation Model Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19059-19069} }
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives-
[pdf]
[arXiv]
[bibtex]@InProceedings{Widdowson_2023_CVPR, author = {Widdowson, Daniel and Kurlin, Vitaliy}, title = {Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1275-1284} }
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Haram and Lee, Jeongmin and Yang, Jihoon}, title = {N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2071-2081} }
Semi-DETR: Semi-Supervised Object Detection With Detection Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiacheng and Lin, Xiangru and Zhang, Wei and Wang, Kuo and Tan, Xiao and Han, Junyu and Ding, Errui and Wang, Jingdong and Li, Guanbin}, title = {Semi-DETR: Semi-Supervised Object Detection With Detection Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23809-23818} }
Infinite Photorealistic Worlds Using Procedural Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Raistrick_2023_CVPR, author = {Raistrick, Alexander and Lipson, Lahav and Ma, Zeyu and Mei, Lingjie and Wang, Mingzhe and Zuo, Yiming and Kayan, Karhan and Wen, Hongyu and Han, Beining and Wang, Yihan and Newell, Alejandro and Law, Hei and Goyal, Ankit and Yang, Kaiyu and Deng, Jia}, title = {Infinite Photorealistic Worlds Using Procedural Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12630-12641} }
Diversity-Measurable Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Wenrui and Chang, Hong and Ma, Bingpeng and Shan, Shiguang and Chen, Xilin}, title = {Diversity-Measurable Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12147-12156} }
Hybrid Neural Rendering for Large-Scale Scenes With Motion Blur-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2023_CVPR, author = {Dai, Peng and Zhang, Yinda and Yu, Xin and Lyu, Xiaoyang and Qi, Xiaojuan}, title = {Hybrid Neural Rendering for Large-Scale Scenes With Motion Blur}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {154-164} }
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Seung Ho and Moon, Young Su and Cho, Nam Ik}, title = {Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1725-1735} }
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Zhenyu and Huang, Zaiyu and Dong, Xin and Zhao, Fuwei and Dong, Haoye and Zhang, Xijin and Zhu, Feida and Liang, Xiaodan}, title = {GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23550-23559} }
A Large-Scale Robustness Analysis of Video Action Recognition Models-
[pdf]
[supp]
[bibtex]@InProceedings{Schiappa_2023_CVPR, author = {Schiappa, Madeline Chantry and Biyani, Naman and Kamtam, Prudvi and Vyas, Shruti and Palangi, Hamid and Vineet, Vibhav and Rawat, Yogesh S.}, title = {A Large-Scale Robustness Analysis of Video Action Recognition Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14698-14708} }
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Xiaocheng and Guo, Song and Liu, Ziming and Guo, Jingcai}, title = {Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23560-23569} }
Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Shengyang and Gong, Xiaojin}, title = {Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22846-22856} }
All-in-Focus Imaging From Event Focal Stack-
[pdf]
[supp]
[bibtex]@InProceedings{Lou_2023_CVPR, author = {Lou, Hanyue and Teng, Minggui and Yang, Yixin and Shi, Boxin}, title = {All-in-Focus Imaging From Event Focal Stack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17366-17375} }
Video Probabilistic Diffusion Models in Projected Latent Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Sihyun and Sohn, Kihyuk and Kim, Subin and Shin, Jinwoo}, title = {Video Probabilistic Diffusion Models in Projected Latent Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18456-18466} }
Learning 3D Scene Priors With 2D Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nie_2023_CVPR, author = {Nie, Yinyu and Dai, Angela and Han, Xiaoguang and Nie{\ss}ner, Matthias}, title = {Learning 3D Scene Priors With 2D Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {792-802} }
Blind Video Deflickering by Neural Filtering With a Flawed Atlas-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lei_2023_CVPR, author = {Lei, Chenyang and Ren, Xuanchi and Zhang, Zhaoxiang and Chen, Qifeng}, title = {Blind Video Deflickering by Neural Filtering With a Flawed Atlas}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10439-10448} }
Label-Free Liver Tumor Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Qixin and Chen, Yixiong and Xiao, Junfei and Sun, Shuwen and Chen, Jieneng and Yuille, Alan L. and Zhou, Zongwei}, title = {Label-Free Liver Tumor Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7422-7432} }
Grid-Guided Neural Radiance Fields for Large Urban Scenes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Linning and Xiangli, Yuanbo and Peng, Sida and Pan, Xingang and Zhao, Nanxuan and Theobalt, Christian and Dai, Bo and Lin, Dahua}, title = {Grid-Guided Neural Radiance Fields for Large Urban Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8296-8306} }
Defining and Quantifying the Emergence of Sparse Concepts in DNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Jie and Li, Mingjie and Chen, Qirui and Deng, Huiqi and Zhang, Quanshi}, title = {Defining and Quantifying the Emergence of Sparse Concepts in DNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20280-20289} }
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Garcia_2023_CVPR, author = {Garcia, Noa and Hirota, Yusuke and Wu, Yankun and Nakashima, Yuta}, title = {Uncurated Image-Text Datasets: Shedding Light on Demographic Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6957-6966} }
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Jie and Wu, Jie and Yan, Pengxiang and Li, Ming and Yuxi, Ren and Xiao, Xuefeng and Wang, Yitong and Wang, Rui and Wen, Shilei and Pan, Xin and Wang, Xingang}, title = {FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19446-19455} }
AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seo_2023_CVPR, author = {Seo, Paul Hongsuck and Nagrani, Arsha and Schmid, Cordelia}, title = {AVFormer: Injecting Vision Into Frozen Speech Models for Zero-Shot AV-ASR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22922-22931} }
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Jiawei and Pavone, Marco and Wang, Yue}, title = {FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8254-8263} }
Adversarial Robustness via Random Projection Filters-
[pdf]
[supp]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Minjing and Xu, Chang}, title = {Adversarial Robustness via Random Projection Filters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4077-4086} }
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Jaeill and Kang, Suhyun and Hwang, Duhun and Shin, Jungwook and Rhee, Wonjong}, title = {VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3799-3810} }
Self-Guided Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Vincent Tao and Zhang, David W. and Asano, Yuki M. and Burghouts, Gertjan J. and Snoek, Cees G. M.}, title = {Self-Guided Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18413-18422} }
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Ziyan and Nam, Giljoo and Stuyck, Tuur and Lombardi, Stephen and Cao, Chen and Saragih, Jason and Zollh\"ofer, Michael and Hodgins, Jessica and Lassner, Christoph}, title = {NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8641-8651} }
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Yihan and Jiang, Chenhan and Mao, Jiageng and Han, Jianhua and Ye, Chaoqiang and Huang, Qingqiu and Yeung, Dit-Yan and Yang, Zhen and Liang, Xiaodan and Xu, Hang}, title = {CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15244-15253} }
HNeRV: A Hybrid Neural Representation for Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Hao and Gwilliam, Matthew and Lim, Ser-Nam and Shrivastava, Abhinav}, title = {HNeRV: A Hybrid Neural Representation for Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10270-10279} }
Model-Agnostic Gender Debiased Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hirota_2023_CVPR, author = {Hirota, Yusuke and Nakashima, Yuta and Garcia, Noa}, title = {Model-Agnostic Gender Debiased Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15191-15200} }
Local Implicit Ray Function for Generalizable Radiance Field Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Xin and Zhang, Qi and Feng, Ying and Li, Xiaoyu and Wang, Xuan and Wang, Qing}, title = {Local Implicit Ray Function for Generalizable Radiance Field Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {97-107} }
One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Weichuang and Zhang, Longhao and Wang, Dong and Zhao, Bin and Wang, Zhigang and Chen, Mulin and Zhang, Bang and Wang, Zhongjian and Bo, Liefeng and Li, Xuelong}, title = {One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17969-17978} }
FitMe: Deep Photorealistic 3D Morphable Model Avatars-
[pdf]
[supp]
[bibtex]@InProceedings{Lattas_2023_CVPR, author = {Lattas, Alexandros and Moschoglou, Stylianos and Ploumpis, Stylianos and Gecer, Baris and Deng, Jiankang and Zafeiriou, Stefanos}, title = {FitMe: Deep Photorealistic 3D Morphable Model Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8629-8640} }
Dense Distinct Query for End-to-End Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Shilong and Wang, Xinjiang and Wang, Jiaqi and Pang, Jiangmiao and Lyu, Chengqi and Zhang, Wenwei and Luo, Ping and Chen, Kai}, title = {Dense Distinct Query for End-to-End Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7329-7338} }
CLIPPO: Image-and-Language Understanding From Pixels Only-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tschannen_2023_CVPR, author = {Tschannen, Michael and Mustafa, Basil and Houlsby, Neil}, title = {CLIPPO: Image-and-Language Understanding From Pixels Only}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11006-11017} }
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Peng_2023_CVPR, author = {Peng, Xiaogang and Mao, Siyuan and Wu, Zizhao}, title = {Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17121-17130} }
Conditional Image-to-Video Generation With Latent Flow Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ni_2023_CVPR, author = {Ni, Haomiao and Shi, Changhao and Li, Kai and Huang, Sharon X. and Min, Martin Renqiang}, title = {Conditional Image-to-Video Generation With Latent Flow Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18444-18455} }
Virtual Sparse Convolution for Multimodal 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Hai and Wen, Chenglu and Shi, Shaoshuai and Li, Xin and Wang, Cheng}, title = {Virtual Sparse Convolution for Multimodal 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21653-21662} }
DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zongheng and Sun, Yifan and Liu, Si and Yang, Yi}, title = {DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11422-11432} }
Divide and Adapt: Active Domain Adaptation via Customized Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Duojun and Li, Jichang and Chen, Weikai and Huang, Junshi and Chai, Zhenhua and Li, Guanbin}, title = {Divide and Adapt: Active Domain Adaptation via Customized Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7651-7660} }
Towards Universal Fake Image Detectors That Generalize Across Generative Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ojha_2023_CVPR, author = {Ojha, Utkarsh and Li, Yuheng and Lee, Yong Jae}, title = {Towards Universal Fake Image Detectors That Generalize Across Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24480-24489} }
Towards Bridging the Performance Gaps of Joint Energy-Based Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Xiulong and Su, Qing and Ji, Shihao}, title = {Towards Bridging the Performance Gaps of Joint Energy-Based Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15732-15741} }
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Yunfan and Wang, Zipeng and Liu, Minjie and Wang, Hongjian and Wang, Lin}, title = {Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1557-1567} }
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Xu and Zhu, Jinjing and Liu, Yexin and Cao, Zidong and Fu, Chong and Wang, Lin}, title = {Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1285-1295} }
expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Iglesias_2023_CVPR, author = {Iglesias, Jos\'e Pedro and Nilsson, Amanda and Olsson, Carl}, title = {expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8959-8968} }
OpenGait: Revisiting Gait Recognition Towards Better Practicality-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Chao and Liang, Junhao and Shen, Chuanfu and Hou, Saihui and Huang, Yongzhen and Yu, Shiqi}, title = {OpenGait: Revisiting Gait Recognition Towards Better Practicality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9707-9716} }
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zhen and Zhou, Shijie and Park, Jeong Joon and Paschalidou, Despoina and You, Suya and Wetzstein, Gordon and Guibas, Leonidas and Kadambi, Achuta}, title = {ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {259-270} }
Learning Debiased Representations via Conditional Attribute Interpolation-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yi-Kai and Wang, Qi-Wei and Zhan, De-Chuan and Ye, Han-Jia}, title = {Learning Debiased Representations via Conditional Attribute Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7599-7608} }
A Large-Scale Homography Benchmark-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Barath_2023_CVPR, author = {Barath, Daniel and Mishkin, Dmytro and Polic, Michal and F\"orstner, Wolfgang and Matas, Jiri}, title = {A Large-Scale Homography Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21360-21370} }
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Wenbin and Fan, Zhichen and Huo, Jing and Gao, Yang}, title = {Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3449-3458} }
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhicheng and Wang, Lijuan and Yang, Jufeng}, title = {Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18888-18897} }
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Kangning and Zhu, Weicheng and Shen, Yiqiu and Liu, Sheng and Razavian, Narges and Geras, Krzysztof J. and Fernandez-Granda, Carlos}, title = {Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3355-3365} }
Consistent View Synthesis With Pose-Guided Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tseng_2023_CVPR, author = {Tseng, Hung-Yu and Li, Qinbo and Kim, Changil and Alsisan, Suhib and Huang, Jia-Bin and Kopf, Johannes}, title = {Consistent View Synthesis With Pose-Guided Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16773-16783} }
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiao_2023_CVPR, author = {Jiao, Yang and Jie, Zequn and Chen, Shaoxiang and Chen, Jingjing and Ma, Lin and Jiang, Yu-Gang}, title = {MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21643-21652} }
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Geng_2023_CVPR, author = {Geng, Tiantian and Wang, Teng and Duan, Jinming and Cong, Runmin and Zheng, Feng}, title = {Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22942-22951} }
Weak-Shot Object Detection Through Mutual Knowledge Transfer-
[pdf]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Xuanyi and Wan, Weitao and Sun, Chong and Li, Chen}, title = {Weak-Shot Object Detection Through Mutual Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19671-19680} }
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Gwanghyun and Chun, Se Young}, title = {DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14203-14213} }
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Dingkang and Xie, Jiahao and Zou, Zhikang and Ye, Xiaoqing and Xu, Wei and Bai, Xiang}, title = {CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2893-2903} }
Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Wen-jin and Xie, Weiying and Jiang, Kai and Li, Yunsong and Lei, Jie and Fang, Leyuan}, title = {Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22272-22281} }
Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond-
[pdf]
[supp]
[bibtex]@InProceedings{Fei_2023_CVPR, author = {Fei, Zhengcong and Fan, Mingyuan and Zhu, Li and Huang, Junshi and Wei, Xiaoming and Wei, Xiaolin}, title = {Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24449-24459} }
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Yixuan and Cao, Yue and Zhang, Zheng and Peng, Houwen and Yao, Zhuliang and Xie, Zhenda and Hu, Han and Guo, Baining}, title = {iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2776-2786} }
Learning Neural Volumetric Representations of Dynamic Humans in Minutes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Geng_2023_CVPR, author = {Geng, Chen and Peng, Sida and Xu, Zhen and Bao, Hujun and Zhou, Xiaowei}, title = {Learning Neural Volumetric Representations of Dynamic Humans in Minutes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8759-8770} }
Streaming Video Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Yucheng and Luo, Chong and Tang, Chuanxin and Chen, Dongdong and Codella, Noel and Zha, Zheng-Jun}, title = {Streaming Video Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14602-14612} }
CapDet: Unifying Dense Captioning and Open-World Detection Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Long_2023_CVPR, author = {Long, Yanxin and Wen, Youpeng and Han, Jianhua and Xu, Hang and Ren, Pengzhen and Zhang, Wei and Zhao, Shen and Liang, Xiaodan}, title = {CapDet: Unifying Dense Captioning and Open-World Detection Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15233-15243} }
Bayesian Posterior Approximation With Stochastic Ensembles-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Balabanov_2023_CVPR, author = {Balabanov, Oleksandr and Mehlig, Bernhard and Linander, Hampus}, title = {Bayesian Posterior Approximation With Stochastic Ensembles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13701-13711} }
RILS: Masked Visual Reconstruction in Language Semantic Space-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Shusheng and Ge, Yixiao and Yi, Kun and Li, Dian and Shan, Ying and Qie, Xiaohu and Wang, Xinggang}, title = {RILS: Masked Visual Reconstruction in Language Semantic Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23304-23314} }
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Wenju and Li, Qingyong and Zhang, Jing and Wang, Wen and Geng, Yangli-ao}, title = {Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20186-20195} }
R2Former: Unified Retrieval and Reranking Transformer for Place Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Sijie and Yang, Linjie and Chen, Chen and Shah, Mubarak and Shen, Xiaohui and Wang, Heng}, title = {R2Former: Unified Retrieval and Reranking Transformer for Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19370-19380} }
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Donghao and Gu, Chunbin and Xu, Junde and Liu, Furui and Wang, Qiong and Chen, Guangyong and Heng, Pheng-Ann}, title = {RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3312-3322} }
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Changfeng and Chen, Yinuo and Guo, Pengxiao and Guo, Jie and Wang, Chongjun and Guo, Yanwen}, title = {Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13560-13569} }
Modality-Agnostic Debiasing for Single Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Sanqing and Pan, Yingwei and Chen, Guang and Yao, Ting and Jiang, Changjun and Mei, Tao}, title = {Modality-Agnostic Debiasing for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24142-24151} }
Difficulty-Based Sampling for Debiased Contrastive Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Jang_2023_CVPR, author = {Jang, Taeuk and Wang, Xiaoqian}, title = {Difficulty-Based Sampling for Debiased Contrastive Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24039-24048} }
Masked Motion Encoding for Self-Supervised Video Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Xinyu and Chen, Peihao and Chen, Liangwei and Li, Changhao and Li, Thomas H. and Tan, Mingkui and Gan, Chuang}, title = {Masked Motion Encoding for Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2235-2245} }
CompletionFormer: Depth Completion With Convolutions and Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Youmin and Guo, Xianda and Poggi, Matteo and Zhu, Zheng and Huang, Guan and Mattoccia, Stefano}, title = {CompletionFormer: Depth Completion With Convolutions and Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18527-18536} }
Comprehensive and Delicate: An Efficient Transformer for Image Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Haiyu and Gou, Yuanbiao and Li, Boyun and Peng, Dezhong and Lv, Jiancheng and Peng, Xi}, title = {Comprehensive and Delicate: An Efficient Transformer for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14122-14132} }
Zero-Shot Model Diagnosis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Jinqi and Wang, Zhaoning and Wu, Chen Henry and Huang, Dong and De la Torre, Fernando}, title = {Zero-Shot Model Diagnosis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11631-11640} }
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ziyan and Kafle, Kushal and Dernoncourt, Franck and Ordonez, Vicente}, title = {Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19165-19174} }
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Zhanhao and Chu, Wenda and Zhu, Xiaopei and Zhang, Hui and Zhang, Bo and Hu, Xiaolin}, title = {Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16975-16984} }
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Lanqing and Wang, Chong and Yang, Wenhan and Huang, Siyu and Wang, Yufei and Pfister, Hanspeter and Wen, Bihan}, title = {ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14049-14058} }
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Bai_2023_CVPR, author = {Bai, Haoran and Kang, Di and Zhang, Haoxian and Pan, Jinshan and Bao, Linchao}, title = {FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {362-371} }
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Changdi and Zhao, Pu and Li, Yanyu and Niu, Wei and Guan, Jiexiong and Tang, Hao and Qin, Minghai and Ren, Bin and Lin, Xue and Wang, Yanzhi}, title = {Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15402-15412} }
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Chunming and Li, Kai and Zhang, Yachao and Tang, Longxiang and Zhang, Yulun and Guo, Zhenhua and Li, Xiu}, title = {Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22046-22055} }
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Jintao and Wang, Na and Qi, Lei and Shi, Yinghuan}, title = {ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24132-24141} }
NLOST: Non-Line-of-Sight Imaging With Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yue and Peng, Jiayong and Ye, Juntian and Zhang, Yueyi and Xu, Feihu and Xiong, Zhiwei}, title = {NLOST: Non-Line-of-Sight Imaging With Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13313-13322} }
Text-Visual Prompting for Efficient 2D Temporal Video Grounding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yimeng and Chen, Xin and Jia, Jinghan and Liu, Sijia and Ding, Ke}, title = {Text-Visual Prompting for Efficient 2D Temporal Video Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14794-14804} }
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Yiming and Cao, Yan-Pei and Shan, Ying}, title = {SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {108-118} }
Learning Visual Representations via Language-Guided Sampling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{El_Banani_2023_CVPR, author = {El Banani, Mohamed and Desai, Karan and Johnson, Justin}, title = {Learning Visual Representations via Language-Guided Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19208-19220} }
Logical Implications for Visual Question Answering Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Tascon-Morales_2023_CVPR, author = {Tascon-Morales, Sergio and M\'arquez-Neila, Pablo and Sznitman, Raphael}, title = {Logical Implications for Visual Question Answering Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6725-6735} }
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yu-Tao and Wang, Li and Yang, Jie and Chen, Weikai and Meng, Xiaoxu and Yang, Bo and Gao, Lin}, title = {NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {237-247} }
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Hao and Liu, Songhua and Lin, Tianwei and Huang, Shaoli and Li, Fu and He, Dongliang and Wang, Xinchao}, title = {Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18329-18338} }
Affordance Diffusion: Synthesizing Hand-Object Interactions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Yufei and Li, Xueting and Gupta, Abhinav and De Mello, Shalini and Birchfield, Stan and Song, Jiaming and Tulsiani, Shubham and Liu, Sifei}, title = {Affordance Diffusion: Synthesizing Hand-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22479-22489} }
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Yunfan and Yi, Renjiao and Gao, Zhirui and Zhu, Chenyang and Cai, Zhiping and Xu, Kai}, title = {NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8486-8495} }
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Yuting and Yang, Guanyu and Ge, Rongjun and Chen, Yang and Coatrieux, Jean-Louis and Wang, Boyu and Li, Shuo}, title = {Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9538-9547} }
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Ran and Tian, Haoyuan and Gu, Zhihao and Lai, Yu-Kun and Rosin, Paul L.}, title = {Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22388-22397} }
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Mingye and Xu, Mutian and He, Tong and Ouyang, Wanli and Wang, Yali and Han, Xiaoguang and Qiao, Yu}, title = {MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4380-4390} }
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tumanyan_2023_CVPR, author = {Tumanyan, Narek and Geyer, Michal and Bagon, Shai and Dekel, Tali}, title = {Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1921-1930} }
Inverting the Imaging Process by Learning an Implicit Camera Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Xin and Zhang, Qi and Feng, Ying and Li, Hongdong and Wang, Qing}, title = {Inverting the Imaging Process by Learning an Implicit Camera Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21456-21465} }
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation-
[pdf]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Tianlei and Guo, Fangtai and Meng, Qiwei and Zhu, Shiqiang and Xi, Xiangming and Wang, Wen and Mu, Zonghao and Song, Wei}, title = {Fast Contextual Scene Graph Generation With Unbiased Context Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6302-6311} }
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Li and Shum, Hubert P. H. and Breckon, Toby P.}, title = {Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9361-9371} }
Re-Thinking Federated Active Learning Based on Inter-Class Diversity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, SangMook and Bae, Sangmin and Song, Hwanjun and Yun, Se-Young}, title = {Re-Thinking Federated Active Learning Based on Inter-Class Diversity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3944-3953} }
Enhanced Training of Query-Based Object Detection via Selective Query Recollection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Fangyi and Zhang, Han and Hu, Kai and Huang, Yu-Kai and Zhu, Chenchen and Savvides, Marios}, title = {Enhanced Training of Query-Based Object Detection via Selective Query Recollection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23756-23765} }
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bandara_2023_CVPR, author = {Bandara, Wele Gedara Chaminda and Patel, Naman and Gholami, Ali and Nikkhah, Mehdi and Agrawal, Motilal and Patel, Vishal M.}, title = {AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14507-14517} }
Detecting Human-Object Contact in Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yixin and Dwivedi, Sai Kumar and Black, Michael J. and Tzionas, Dimitrios}, title = {Detecting Human-Object Contact in Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17100-17110} }
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering-
[pdf]
[bibtex]@InProceedings{Long_2023_CVPR, author = {Long, Fuchen and Yao, Ting and Qiu, Zhaofan and Li, Lusong and Mei, Tao}, title = {PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21824-21834} }
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Jiezhang and Wang, Qin and Xian, Yongqin and Li, Yawei and Ni, Bingbing and Pi, Zhiming and Zhang, Kai and Zhang, Yulun and Timofte, Radu and Van Gool, Luc}, title = {CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1796-1807} }
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yu and Qiao, Pengchong and Liu, Chang and Song, Guoli and Zheng, Xiawu and Chen, Jie}, title = {Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23849-23858} }
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks-
[pdf]
[supp]
[bibtex]@InProceedings{Frosio_2023_CVPR, author = {Frosio, Iuri and Kautz, Jan}, title = {The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4067-4076} }
GaitGCI: Generative Counterfactual Intervention for Gait Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Dou_2023_CVPR, author = {Dou, Huanzhang and Zhang, Pengyi and Su, Wei and Yu, Yunlong and Lin, Yining and Li, Xi}, title = {GaitGCI: Generative Counterfactual Intervention for Gait Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5578-5588} }
Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Qi and Li, Yaxin and Shen, Jiangrong and Liu, Jian K. and Tang, Huajin and Pan, Gang}, title = {Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7886-7895} }
Understanding and Improving Visual Prompting: A Label-Mapping Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Aochuan and Yao, Yuguang and Chen, Pin-Yu and Zhang, Yihua and Liu, Sijia}, title = {Understanding and Improving Visual Prompting: A Label-Mapping Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19133-19143} }
Directional Connectivity-Based Segmentation of Medical Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ziyun and Farsiu, Sina}, title = {Directional Connectivity-Based Segmentation of Medical Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11525-11535} }
Towards Flexible Multi-Modal Document Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Inoue_2023_CVPR, author = {Inoue, Naoto and Kikuchi, Kotaro and Simo-Serra, Edgar and Otani, Mayu and Yamaguchi, Kota}, title = {Towards Flexible Multi-Modal Document Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14287-14296} }
DegAE: A New Pretraining Paradigm for Low-Level Vision-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yihao and He, Jingwen and Gu, Jinjin and Kong, Xiangtao and Qiao, Yu and Dong, Chao}, title = {DegAE: A New Pretraining Paradigm for Low-Level Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23292-23303} }
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Cote_2023_CVPR, author = {C\^ot\'e, Geoffroi and Mannan, Fahim and Thibault, Simon and Lalonde, Jean-Fran\c{c}ois and Heide, Felix}, title = {The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20803-20812} }
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Guangrui and Kang, Guoliang and Wang, Xiaohan and Wei, Yunchao and Yang, Yi}, title = {Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20464-20474} }
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xiangyang and Wang, Zihan and Yang, Jiahao and Wang, Yaowei and Jiang, Shuqiang}, title = {KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2583-2592} }
LiDAR-in-the-Loop Hyperparameter Optimization-
[pdf]
[supp]
[bibtex]@InProceedings{Goudreault_2023_CVPR, author = {Goudreault, F\'elix and Scheuble, Dominik and Bijelic, Mario and Robidoux, Nicolas and Heide, Felix}, title = {LiDAR-in-the-Loop Hyperparameter Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13404-13414} }
Local 3D Editing via 3D Distillation of CLIP Knowledge-
[pdf]
[supp]
[bibtex]@InProceedings{Hyung_2023_CVPR, author = {Hyung, Junha and Hwang, Sungwon and Kim, Daejin and Lee, Hyunji and Choo, Jaegul}, title = {Local 3D Editing via 3D Distillation of CLIP Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12674-12684} }
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jingyi and Vaidya, Tushar and Wu, Yufei and Chandra, Saket and Lai, Zhangsheng and Chong, Kai Fong Ernest}, title = {Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6715-6724} }
3D-Aware Conditional Image Synthesis-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Kangle and Yang, Gengshan and Ramanan, Deva and Zhu, Jun-Yan}, title = {3D-Aware Conditional Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4434-4445} }
Understanding Deep Generative Models With Generalized Empirical Likelihoods-
[pdf]
[supp]
[bibtex]@InProceedings{Ravuri_2023_CVPR, author = {Ravuri, Suman and Rey, M\'elanie and Mohamed, Shakir and Deisenroth, Marc Peter}, title = {Understanding Deep Generative Models With Generalized Empirical Likelihoods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24395-24405} }
ABCD: Arbitrary Bitwise Coefficient for De-Quantization-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Woo Kyoung and Lee, Byeonghun and Park, Sang Hyun and Jin, Kyong Hwan}, title = {ABCD: Arbitrary Bitwise Coefficient for De-Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5876-5885} }
Event-Based Blurry Frame Interpolation Under Blind Exposure-
[pdf]
[supp]
[bibtex]@InProceedings{Weng_2023_CVPR, author = {Weng, Wenming and Zhang, Yueyi and Xiong, Zhiwei}, title = {Event-Based Blurry Frame Interpolation Under Blind Exposure}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1588-1598} }
Human Body Shape Completion With Implicit Shape and Flow Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Boyao and Meng, Di and Franco, Jean-S\'ebastien and Boyer, Edmond}, title = {Human Body Shape Completion With Implicit Shape and Flow Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12901-12911} }
Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Asokan_2023_CVPR, author = {Asokan, Siddarth and Seelamantula, Chandra Sekhar}, title = {Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3883-3893} }
CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval-
[pdf]
[supp]
[bibtex]@InProceedings{Pei_2023_CVPR, author = {Pei, Renjing and Liu, Jianzhuang and Li, Weimian and Shao, Bin and Xu, Songcen and Dai, Peng and Lu, Juwei and Yan, Youliang}, title = {CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18983-18992} }
ScaleDet: A Scalable Multi-Dataset Object Detector-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yanbei and Wang, Manchen and Mittal, Abhay and Xu, Zhenlin and Favaro, Paolo and Tighe, Joseph and Modolo, Davide}, title = {ScaleDet: A Scalable Multi-Dataset Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7288-7297} }
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lv_2023_CVPR, author = {Lv, Hui and Yue, Zhongqi and Sun, Qianru and Luo, Bin and Cui, Zhen and Zhang, Hanwang}, title = {Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8022-8031} }
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Lei and Yu, Kaicheng and Tang, Tao and Li, Jun and Yuan, Kun and Wang, Li and Zhang, Xinyu and Chen, Peng}, title = {BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21611-21620} }
Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yongqiang and Hu, Zhipeng and Wu, Haoqian and Zhao, Minda and Li, Lincheng and Zou, Zhengxia and Fan, Changjie}, title = {Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4359-4368} }
Modular Memorability: Tiered Representations for Video Memorability Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Dumont_2023_CVPR, author = {Dumont, Th\'eo and Hevia, Juan Segundo and Fosco, Camilo L.}, title = {Modular Memorability: Tiered Representations for Video Memorability Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10751-10760} }
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Das_2023_CVPR, author = {Das, Anurag and Xian, Yongqin and Dai, Dengxin and Schiele, Bernt}, title = {Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15434-15443} }
Language-Guided Music Recommendation for Video via Prompt Analogies-
[pdf]
[supp]
[bibtex]@InProceedings{McKee_2023_CVPR, author = {McKee, Daniel and Salamon, Justin and Sivic, Josef and Russell, Bryan}, title = {Language-Guided Music Recommendation for Video via Prompt Analogies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14784-14793} }
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Chen and Liu, Shuming and Mangalam, Karttikeya and Ghanem, Bernard}, title = {Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10637-10647} }
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Yushun and Zhang, Ce and Xu, Heng and Chen, Shuoshuo and Cheng, Jie and Leng, Luziwei and Guo, Qinghai and He, Zhihai}, title = {Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3728-3738} }
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid-
[pdf]
[supp]
[bibtex]@InProceedings{Rivas-Manzaneque_2023_CVPR, author = {Rivas-Manzaneque, Fernando and Sierra-Acosta, Jorge and Penate-Sanchez, Adrian and Moreno-Noguer, Francesc and Ribeiro, Angela}, title = {NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12417-12427} }
MVImgNet: A Large-Scale Dataset of Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Xianggang and Xu, Mutian and Zhang, Yidan and Liu, Haolin and Ye, Chongjie and Wu, Yushuang and Yan, Zizheng and Zhu, Chenming and Xiong, Zhangyang and Liang, Tianyou and Chen, Guanying and Cui, Shuguang and Han, Xiaoguang}, title = {MVImgNet: A Large-Scale Dataset of Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9150-9161} }
LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bulat_2023_CVPR, author = {Bulat, Adrian and Tzimiropoulos, Georgios}, title = {LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision \& Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23232-23241} }
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Shichao and Wang, Jin and Ji, Renhe and Liang, Jiajun and Fan, Haoqiang and Ge, Zheng}, title = {Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3994-4004} }
Learning Federated Visual Prompt in Null Space for MRI Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Chun-Mei and Li, Bangjun and Xu, Xinxing and Liu, Yong and Fu, Huazhu and Zuo, Wangmeng}, title = {Learning Federated Visual Prompt in Null Space for MRI Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8064-8073} }
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Hui and Jia, Kui}, title = {A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15954-15964} }
Data-Driven Feature Tracking for Event Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Messikommer_2023_CVPR, author = {Messikommer, Nico and Fang, Carter and Gehrig, Mathias and Scaramuzza, Davide}, title = {Data-Driven Feature Tracking for Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5642-5651} }
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Nunes_2023_CVPR, author = {Nunes, Lucas and Wiesmann, Louis and Marcuzzi, Rodrigo and Chen, Xieyuanli and Behley, Jens and Stachniss, Cyrill}, title = {Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5217-5228} }
AutoAD: Movie Description in Context-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Tengda and Bain, Max and Nagrani, Arsha and Varol, G\"ul and Xie, Weidi and Zisserman, Andrew}, title = {AutoAD: Movie Description in Context}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18930-18940} }
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Shuai and Zhao, Wenliang and Meng, Zibin and Li, Wanhua and Zhu, Zheng and Zhou, Jie and Lu, Jiwen}, title = {DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1982-1991} }
Autoregressive Visual Tracking-
[pdf]
[bibtex]@InProceedings{Wei_2023_CVPR, author = {Wei, Xing and Bai, Yifan and Zheng, Yongchao and Shi, Dahu and Gong, Yihong}, title = {Autoregressive Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9697-9706} }
SceneComposer: Any-Level Semantic Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Yu and Lin, Zhe and Zhang, Jianming and Liu, Qing and Collomosse, John and Kuen, Jason and Patel, Vishal M.}, title = {SceneComposer: Any-Level Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22468-22478} }
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2023_CVPR, author = {Tu, Cheng-Hao and Mai, Zheda and Chao, Wei-Lun}, title = {Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7725-7735} }
MaPLe: Multi-Modal Prompt Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Khattak_2023_CVPR, author = {Khattak, Muhammad Uzair and Rasheed, Hanoona and Maaz, Muhammad and Khan, Salman and Khan, Fahad Shahbaz}, title = {MaPLe: Multi-Modal Prompt Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19113-19122} }
Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Chenchen and Zhou, Min and Ge, Tiezheng and Jiang, Yuning and Xu, Weiwei}, title = {Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10114-10123} }
Compressing Volumetric Radiance Fields to 1 MB-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Lingzhi and Shen, Zhen and Wang, Zhongshu and Shen, Li and Bo, Liefeng}, title = {Compressing Volumetric Radiance Fields to 1 MB}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4222-4231} }
Real-Time 6K Image Rescaling With Rate-Distortion Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2023_CVPR, author = {Qi, Chenyang and Yang, Xin and Cheng, Ka Leong and Chen, Ying-Cong and Chen, Qifeng}, title = {Real-Time 6K Image Rescaling With Rate-Distortion Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14092-14101} }
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues-
[pdf]
[supp]
[bibtex]@InProceedings{Walz_2023_CVPR, author = {Walz, Stefanie and Bijelic, Mario and Ramazzina, Andrea and Walia, Amanpreet and Mannan, Fahim and Heide, Felix}, title = {Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13252-13262} }
Label Information Bottleneck for Label Enhancement-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Qinghai and Zhu, Jihua and Tang, Haoyu}, title = {Label Information Bottleneck for Label Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7497-7506} }
Multi-Modal Representation Learning With Text-Driven Soft Masks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Jaeyoo and Han, Bohyung}, title = {Multi-Modal Representation Learning With Text-Driven Soft Masks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2798-2807} }
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mondal_2023_CVPR, author = {Mondal, Sounak and Yang, Zhibo and Ahn, Seoyoung and Samaras, Dimitris and Zelinsky, Gregory and Hoai, Minh}, title = {Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1441-1450} }
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Jun and Hu, Ming and Coker, Darren J. and Berumen, Michael L. and Costelloe, Blair and Beery, Sara and Rohrbach, Anna and Elhoseiny, Mohamed}, title = {MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13052-13061} }
Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Xingyu and Wang, Baoyuan and Shum, Heung-Yeung}, title = {Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8683-8693} }
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuan and Sun, Rui and Zhang, Tianzhu}, title = {Rethinking the Correlation in Few-Shot Segmentation: A Buoys View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7183-7192} }
VindLU: A Recipe for Effective Video-and-Language Pretraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2023_CVPR, author = {Cheng, Feng and Wang, Xizi and Lei, Jie and Crandall, David and Bansal, Mohit and Bertasius, Gedas}, title = {VindLU: A Recipe for Effective Video-and-Language Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10739-10750} }
Scaling Language-Image Pre-Training via Masking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Yanghao and Fan, Haoqi and Hu, Ronghang and Feichtenhofer, Christoph and He, Kaiming}, title = {Scaling Language-Image Pre-Training via Masking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23390-23400} }
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Hongyi and Song, Guoxian and Jiang, Zihang and Zhang, Jianfeng and Shi, Yichun and Liu, Jing and Ma, Wanchun and Feng, Jiashi and Luo, Linjie}, title = {OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12814-12824} }
DiffRF: Rendering-Guided 3D Radiance Field Diffusion-
[pdf]
[supp]
[bibtex]@InProceedings{Muller_2023_CVPR, author = {M\"uller, Norman and Siddiqui, Yawar and Porzi, Lorenzo and Bul\`o, Samuel Rota and Kontschieder, Peter and Nie{\ss}ner, Matthias}, title = {DiffRF: Rendering-Guided 3D Radiance Field Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4328-4338} }
DNF: Decouple and Feedback Network for Seeing in the Dark-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Xin and Han, Ling-Hao and Li, Zhen and Guo, Chun-Le and Chai, Zhi and Li, Chongyi}, title = {DNF: Decouple and Feedback Network for Seeing in the Dark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18135-18144} }
SUDS: Scalable Urban Dynamic Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Turki_2023_CVPR, author = {Turki, Haithem and Zhang, Jason Y. and Ferroni, Francesco and Ramanan, Deva}, title = {SUDS: Scalable Urban Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12375-12385} }
Deformable Mesh Transformer for 3D Human Mesh Recovery-
[pdf]
[supp]
[bibtex]@InProceedings{Yoshiyasu_2023_CVPR, author = {Yoshiyasu, Yusuke}, title = {Deformable Mesh Transformer for 3D Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17006-17015} }
Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting-
[pdf]
[bibtex]@InProceedings{Wasim_2023_CVPR, author = {Wasim, Syed Talal and Naseer, Muzammal and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23034-23044} }
HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Linfang and Wang, Chen and Sun, Yinghan and Dasgupta, Esha and Chen, Hua and Leonardis, Ale\v{s} and Zhang, Wei and Chang, Hyung Jin}, title = {HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17163-17173} }
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gan_2023_CVPR, author = {Gan, Yulu and Pan, Mingjie and Zhang, Rongyu and Ling, Zijian and Zhao, Lingran and Liu, Jiaming and Zhang, Shanghang}, title = {Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12157-12166} }
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Chuan and Yang, Xi and Wu, Bojian and Han, Zhizhong and Chang, Yi}, title = {Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6884-6893} }
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization-
[pdf]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Huan and Yang, Wenfei and Zhang, Tianzhu and Zhang, Yongdong}, title = {Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2394-2404} }
LayoutDM: Transformer-Based Diffusion Model for Layout Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chai_2023_CVPR, author = {Chai, Shang and Zhuang, Liansheng and Yan, Fengying}, title = {LayoutDM: Transformer-Based Diffusion Model for Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18349-18358} }
HandNeRF: Neural Radiance Fields for Animatable Interacting Hands-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Zhiyang and Zhou, Wengang and Wang, Min and Li, Li and Li, Houqiang}, title = {HandNeRF: Neural Radiance Fields for Animatable Interacting Hands}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21078-21087} }
ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources-
[pdf]
[bibtex]@InProceedings{van_Amsterdam_2023_CVPR, author = {van Amsterdam, Beatrice and Kadkhodamohammadi, Abdolrahim and Luengo, Imanol and Stoyanov, Danail}, title = {ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2384-2393} }
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Croce_2023_CVPR, author = {Croce, Francesco and Rebuffi, Sylvestre-Alvise and Shelhamer, Evan and Gowal, Sven}, title = {Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12313-12323} }
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup-
[pdf]
[supp]
[bibtex]@InProceedings{Byun_2023_CVPR, author = {Byun, Junyoung and Kwon, Myung-Joon and Cho, Seungju and Kim, Yoonji and Kim, Changick}, title = {Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24648-24657} }
Ingredient-Oriented Multi-Degradation Learning for Image Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jinghao and Huang, Jie and Yao, Mingde and Yang, Zizheng and Yu, Hu and Zhou, Man and Zhao, Feng}, title = {Ingredient-Oriented Multi-Degradation Learning for Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5825-5835} }
How To Prevent the Continuous Damage of Noises To Model Training?-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Xiaotian and Jiang, Yang and Shi, Tianqi and Feng, Zunlei and Wang, Yuexuan and Song, Mingli and Sun, Li}, title = {How To Prevent the Continuous Damage of Noises To Model Training?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12054-12063} }
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhiheng and Evtimov, Ivan and Gordo, Albert and Hazirbas, Caner and Hassner, Tal and Ferrer, Cristian Canton and Xu, Chenliang and Ibrahim, Mark}, title = {A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20071-20082} }
Skinned Motion Retargeting With Residual Perception of Motion Semantics & Geometry-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiaxu and Weng, Junwu and Kang, Di and Zhao, Fang and Huang, Shaoli and Zhe, Xuefei and Bao, Linchao and Shan, Ying and Wang, Jue and Tu, Zhigang}, title = {Skinned Motion Retargeting With Residual Perception of Motion Semantics \& Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13864-13872} }
Weakly-Supervised Single-View Image Relighting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Renjiao and Zhu, Chenyang and Xu, Kai}, title = {Weakly-Supervised Single-View Image Relighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8402-8411} }
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ying-Tian and Zhang, Zhifei and Guo, Yuan-Chen and Fisher, Matthew and Wang, Zhaowen and Zhang, Song-Hai}, title = {DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14193-14202} }
Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nguyen_2023_CVPR, author = {Nguyen, Thuan Hoang and Van Le, Thanh and Tran, Anh}, title = {Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22408-22417} }
ReasonNet: End-to-End Driving With Temporal and Global Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Shao_2023_CVPR, author = {Shao, Hao and Wang, Letian and Chen, Ruobing and Waslander, Steven L. and Li, Hongsheng and Liu, Yu}, title = {ReasonNet: End-to-End Driving With Temporal and Global Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13723-13733} }
Learning Situation Hyper-Graphs for Video Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Urooj_2023_CVPR, author = {Urooj, Aisha and Kuehne, Hilde and Wu, Bo and Chheu, Kim and Bousselham, Walid and Gan, Chuang and Lobo, Niels and Shah, Mubarak}, title = {Learning Situation Hyper-Graphs for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14879-14889} }
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Hao and Wang, Tianyu and Tang, Xiao and Fu, Chi-Wing}, title = {H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17048-17058} }
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Tiancheng and Yu, Zhimiao and Hu, Hongyu and Xu, Yi and Chen, Chang-Wen}, title = {Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19830-19839} }
GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ruzzi_2023_CVPR, author = {Ruzzi, Alessandro and Shi, Xiangwei and Wang, Xi and Li, Gengyan and De Mello, Shalini and Chang, Hyung Jin and Zhang, Xucong and Hilliges, Otmar}, title = {GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9676-9685} }
How Can Objects Help Action Recognition?-
[pdf]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Xingyi and Arnab, Anurag and Sun, Chen and Schmid, Cordelia}, title = {How Can Objects Help Action Recognition?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2353-2362} }
Realistic Saliency Guided Image Enhancement-
[pdf]
[supp]
[bibtex]@InProceedings{Miangoleh_2023_CVPR, author = {Miangoleh, S. Mahdi H. and Bylinskii, Zoya and Kee, Eric and Shechtman, Eli and Aksoy, Ya\u{g}iz}, title = {Realistic Saliency Guided Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {186-194} }
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2023_CVPR, author = {Dai, Yudi and Lin, Yitai and Lin, Xiping and Wen, Chenglu and Xu, Lan and Yi, Hongwei and Shen, Siqi and Ma, Yuexin and Wang, Cheng}, title = {SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {682-692} }
SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization-
[pdf]
[supp]
[bibtex]@InProceedings{Pietrantoni_2023_CVPR, author = {Pietrantoni, Maxime and Humenberger, Martin and Sattler, Torsten and Csurka, Gabriela}, title = {SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15380-15391} }
Efficient Hierarchical Entropy Model for Learned Point Cloud Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Rui and Fu, Chunyang and Liu, Shan and Li, Ge}, title = {Efficient Hierarchical Entropy Model for Learned Point Cloud Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14368-14377} }
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yuan-Chih and Lu, Chun-Shien}, title = {RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23936-23945} }
ActMAD: Activation Matching To Align Distributions for Test-Time-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mirza_2023_CVPR, author = {Mirza, Muhammad Jehanzeb and Soneira, Pol Jan\'e and Lin, Wei and Kozinski, Mateusz and Possegger, Horst and Bischof, Horst}, title = {ActMAD: Activation Matching To Align Distributions for Test-Time-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24152-24161} }
DKM: Dense Kernelized Feature Matching for Geometry Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Edstedt_2023_CVPR, author = {Edstedt, Johan and Athanasiadis, Ioannis and Wadenb\"ack, M\r{a}rten and Felsberg, Michael}, title = {DKM: Dense Kernelized Feature Matching for Geometry Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17765-17775} }
Image Cropping With Spatial-Aware Feature and Rank Consistency-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Chao and Niu, Li and Zhang, Bo and Zhang, Liqing}, title = {Image Cropping With Spatial-Aware Feature and Rank Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10052-10061} }
SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2023_CVPR, author = {Cao, Defu and Wang, Zhaowen and Echevarria, Jose and Liu, Yan}, title = {SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10093-10102} }
Structured 3D Features for Reconstructing Controllable Avatars-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Corona_2023_CVPR, author = {Corona, Enric and Zanfir, Mihai and Alldieck, Thiemo and Bazavan, Eduard Gabriel and Zanfir, Andrei and Sminchisescu, Cristian}, title = {Structured 3D Features for Reconstructing Controllable Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16954-16964} }
Mask-Guided Matting in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Park_2023_CVPR, author = {Park, Kwanyong and Woo, Sanghyun and Oh, Seoung Wug and Kweon, In So and Lee, Joon-Young}, title = {Mask-Guided Matting in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1992-2001} }
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pu_2023_CVPR, author = {Pu, Nan and Zhong, Zhun and Sebe, Nicu}, title = {Dynamic Conceptional Contrastive Learning for Generalized Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7579-7588} }
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Quan_2023_CVPR, author = {Quan, Yuhui and Wu, Zicong and Ji, Hui}, title = {Neumann Network With Recursive Kernels for Single Image Defocus Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5754-5763} }
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Yichen and Lu, Han and Yan, Junchi and Yang, Xiaokang and Tomizuka, Masayoshi and Zhan, Wei}, title = {Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23715-23724} }
Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Jiao_2023_CVPR, author = {Jiao, Yang and Gao, Yan and Meng, Jingjing and Shang, Jin and Sun, Yi}, title = {Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11050-11059} }
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yi and Wang, Ruili and Fan, Xin and Wang, Tianzhu and He, Xiangjian}, title = {Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10031-10040} }
Leveraging Temporal Context in Low Representational Power Regimes-
[pdf]
[supp]
[bibtex]@InProceedings{Fosco_2023_CVPR, author = {Fosco, Camilo L. and Jin, SouYoung and Josephs, Emilie and Oliva, Aude}, title = {Leveraging Temporal Context in Low Representational Power Regimes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10693-10703} }
Guided Recommendation for Model Fine-Tuning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Hao and Fowlkes, Charless and Yang, Hao and Dabeer, Onkar and Tu, Zhuowen and Soatto, Stefano}, title = {Guided Recommendation for Model Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3633-3642} }
Masked Image Training for Generalizable Deep Image Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Haoyu and Gu, Jinjin and Liu, Yihao and Magid, Salma Abdel and Dong, Chao and Wang, Qiong and Pfister, Hanspeter and Zhu, Lei}, title = {Masked Image Training for Generalizable Deep Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1692-1703} }
In-Hand 3D Object Scanning From an RGB Sequence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hampali_2023_CVPR, author = {Hampali, Shreyas and Hodan, Tomas and Tran, Luan and Ma, Lingni and Keskin, Cem and Lepetit, Vincent}, title = {In-Hand 3D Object Scanning From an RGB Sequence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17079-17088} }
Zero-Shot Referring Image Segmentation With Global-Local Context Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Seonghoon and Seo, Paul Hongsuck and Son, Jeany}, title = {Zero-Shot Referring Image Segmentation With Global-Local Context Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19456-19465} }
SketchXAI: A First Look at Explainability for Human Sketches-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Zhiyu and Gryaditskaya, Yulia and Li, Ke and Pang, Kaiyue and Xiang, Tao and Song, Yi-Zhe}, title = {SketchXAI: A First Look at Explainability for Human Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23327-23337} }
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Brazil_2023_CVPR, author = {Brazil, Garrick and Kumar, Abhinav and Straub, Julian and Ravi, Nikhila and Johnson, Justin and Gkioxari, Georgia}, title = {Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13154-13164} }
OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels-
[pdf]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Chuanwen and Ren, Yilong and Xie, Xike}, title = {OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16164-16174} }
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cha_2023_CVPR, author = {Cha, Sungmin and Cho, Sungjun and Hwang, Dasol and Hong, Sunwon and Lee, Moontae and Moon, Taesup}, title = {Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20127-20136} }
OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images-
[pdf]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Sheng and Wang, Daochuan and Liu, Yun-Hui}, title = {OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21529-21538} }
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Duan_2023_CVPR, author = {Duan, Luwen and Wu, Min and Mao, Lijian and Yin, Jun and Xiong, Jianping and Li, Xi}, title = {RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22398-22407} }
Octree Guided Unoriented Surface Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Koneputugodage_2023_CVPR, author = {Koneputugodage, Chamin Hewa and Ben-Shabat, Yizhak and Gould, Stephen}, title = {Octree Guided Unoriented Surface Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16717-16726} }
Rigidity-Aware Detection for 6D Object Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hai_2023_CVPR, author = {Hai, Yang and Song, Rui and Li, Jiaojiao and Salzmann, Mathieu and Hu, Yinlin}, title = {Rigidity-Aware Detection for 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8927-8936} }
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Xinglin and Chen, Jiajing and Ouyang, Jinhui and Deng, Hanhui and Velipasalar, Senem and Wu, Di}, title = {ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21781-21790} }
Clover: Towards a Unified Video-Language Alignment and Fusion Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Jingjia and Li, Yinan and Feng, Jiashi and Wu, Xinglong and Sun, Xiaoshuai and Ji, Rongrong}, title = {Clover: Towards a Unified Video-Language Alignment and Fusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14856-14866} }
Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tao_2023_CVPR, author = {Tao, Runzhou and Han, Wencheng and Qiu, Zhongying and Xu, Cheng-Zhong and Shen, Jianbing}, title = {Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17482-17492} }
Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Assran_2023_CVPR, author = {Assran, Mahmoud and Duval, Quentin and Misra, Ishan and Bojanowski, Piotr and Vincent, Pascal and Rabbat, Michael and LeCun, Yann and Ballas, Nicolas}, title = {Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15619-15629} }
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Yanmin and Cheng, Xinhua and Zhang, Renrui and Cheng, Zesen and Zhang, Jian}, title = {EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19231-19242} }
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image-
[pdf]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Changlong and Xiao, Yang and Wu, Cunlin and Zhang, Mingyang and Zheng, Jinghong and Cao, Zhiguo and Zhou, Joey Tianyi}, title = {A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8846-8855} }
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Caixia and Huang, Yaping and Pu, Mengyang and Guan, Qingji and Huang, Li and Ling, Haibin}, title = {The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15507-15517} }
DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2023_CVPR, author = {Lee, Dogyoon and Lee, Minhyeok and Shin, Chajin and Lee, Sangyoun}, title = {DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12386-12396} }
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Jingjing and Zheng, Nanning}, title = {MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24203-24213} }
Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Ji and Wang, Weixi and Nan, Yuesong and Ji, Hui}, title = {Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13986-13996} }
DeAR: Debiasing Vision-Language Models With Additive Residuals-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Seth_2023_CVPR, author = {Seth, Ashish and Hemani, Mayur and Agarwal, Chirag}, title = {DeAR: Debiasing Vision-Language Models With Additive Residuals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6820-6829} }
E2PN: Efficient SE(3)-Equivariant Point Network-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Minghan and Ghaffari, Maani and Clark, William A. and Peng, Huei}, title = {E2PN: Efficient SE(3)-Equivariant Point Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1223-1232} }
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2023_CVPR, author = {Kong, Xiangwen and Zhang, Xiangyu}, title = {Understanding Masked Image Modeling via Learning Occlusion Invariant Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6241-6251} }
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Siwon and Oh, Jinoh and Lee, Sungjin and Yu, Seunghak and Do, Jaeyoung and Taghavi, Tara}, title = {Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10942-10950} }
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Xiaotao and Huang, Zhewei and Huang, Ailin and Xu, Jun and Zhou, Shuchang}, title = {A Dynamic Multi-Scale Voxel Flow Network for Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6121-6131} }
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Shengchao and Liu, Weizhou and Hu, Chen and Zhou, Shuchang and Ma, Chao}, title = {UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5116-5125} }
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Huimin and Xie, Shiao and Lin, Lanfen and Tong, Ruofeng and Chen, Yen-Wei and Li, Yuexiang and Wang, Hong and Huang, Yawen and Zheng, Yefeng}, title = {SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11340-11349} }
Fine-Tuned CLIP Models Are Efficient Video Learners-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rasheed_2023_CVPR, author = {Rasheed, Hanoona and Khattak, Muhammad Uzair and Maaz, Muhammad and Khan, Salman and Khan, Fahad Shahbaz}, title = {Fine-Tuned CLIP Models Are Efficient Video Learners}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6545-6554} }
Towards Open-World Segmentation of Parts-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Tai-Yu and Liu, Qing and Chao, Wei-Lun and Price, Brian}, title = {Towards Open-World Segmentation of Parts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15392-15401} }
Stitchable Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2023_CVPR, author = {Pan, Zizheng and Cai, Jianfei and Zhuang, Bohan}, title = {Stitchable Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16102-16112} }
Collaborative Diffusion for Multi-Modal Face Generation and Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Ziqi and Chan, Kelvin C.K. and Jiang, Yuming and Liu, Ziwei}, title = {Collaborative Diffusion for Multi-Modal Face Generation and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6080-6090} }
DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Borse_2023_CVPR, author = {Borse, Shubhankar and Das, Debasmit and Park, Hyojin and Cai, Hong and Garrepalli, Risheek and Porikli, Fatih}, title = {DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19466-19477} }
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision-
[pdf]
[supp]
[bibtex]@InProceedings{Guedon_2023_CVPR, author = {Gu\'edon, Antoine and Monnier, Tom and Monasse, Pascal and Lepetit, Vincent}, title = {MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {940-951} }
Audio-Visual Grouping Network for Sound Localization From Mixtures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mo_2023_CVPR, author = {Mo, Shentong and Tian, Yapeng}, title = {Audio-Visual Grouping Network for Sound Localization From Mixtures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10565-10574} }
Fair Federated Medical Image Segmentation via Client Contribution Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Meirui and Roth, Holger R. and Li, Wenqi and Yang, Dong and Zhao, Can and Nath, Vishwesh and Xu, Daguang and Dou, Qi and Xu, Ziyue}, title = {Fair Federated Medical Image Segmentation via Client Contribution Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16302-16311} }
Dynamic Generative Targeted Attacks With Pattern Injection-
[pdf]
[supp]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Weiwei and Xu, Nanqing and Zhang, Tianzhu and Zhang, Yongdong}, title = {Dynamic Generative Targeted Attacks With Pattern Injection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16404-16414} }
Tracking Multiple Deformable Objects in Egocentric Videos-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Mingzhen and Li, Xiaoxing and Hu, Jun and Peng, Honghong and Lyu, Siwei}, title = {Tracking Multiple Deformable Objects in Egocentric Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1461-1471} }
Visual Recognition by Request-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Chufeng and Xie, Lingxi and Zhang, Xiaopeng and Hu, Xiaolin and Tian, Qi}, title = {Visual Recognition by Request}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15265-15274} }
SmartBrush: Text and Shape Guided Object Inpainting With Diffusion Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Shaoan and Zhang, Zhifei and Lin, Zhe and Hinz, Tobias and Zhang, Kun}, title = {SmartBrush: Text and Shape Guided Object Inpainting With Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22428-22437} }
REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Qiu_2023_CVPR, author = {Qiu, Lingteng and Chen, Guanying and Zhou, Jiapeng and Xu, Mutian and Wang, Junle and Han, Xiaoguang}, title = {REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4637-4646} }
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking-
[pdf]
[supp]
[bibtex]@InProceedings{Vendrow_2023_CVPR, author = {Vendrow, Edward and Le, Duy Tho and Cai, Jianfei and Rezatofighi, Hamid}, title = {JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4811-4820} }
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection-
[pdf]
[bibtex]@InProceedings{Gao_2023_CVPR, author = {Gao, Yipeng and Lin, Kun-Yu and Yan, Junkai and Wang, Yaowei and Zheng, Wei-Shi}, title = {AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3261-3271} }
RUST: Latent Neural Scene Representations From Unposed Imagery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sajjadi_2023_CVPR, author = {Sajjadi, Mehdi S. M. and Mahendran, Aravindh and Kipf, Thomas and Pot, Etienne and Duckworth, Daniel and Lu\v{c}i\'c, Mario and Greff, Klaus}, title = {RUST: Latent Neural Scene Representations From Unposed Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17297-17306} }
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jinghuai and Jia, Jinyuan and Liu, Hongbin and Gong, Neil Zhenqiang}, title = {PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9496-9505} }
Open Set Action Recognition via Multi-Label Evidential Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Chen and Du, Dawei and Hoogs, Anthony and Funk, Christopher}, title = {Open Set Action Recognition via Multi-Label Evidential Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22982-22991} }
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ji_2023_CVPR, author = {Ji, Yatai and Wang, Junjie and Gong, Yuan and Zhang, Lin and Zhu, Yanru and Wang, Hongfa and Zhang, Jiaxing and Sakai, Tetsuya and Yang, Yujiu}, title = {MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23262-23271} }
DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective-
[pdf]
[supp]
[bibtex]@InProceedings{Mai_2023_CVPR, author = {Mai, Huayu and Sun, Rui and Zhang, Tianzhu and Xiong, Zhiwei and Wu, Feng}, title = {DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19617-19626} }
Federated Learning With Data-Agnostic Distribution Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Duan_2023_CVPR, author = {Duan, Jian-hui and Li, Wenzhong and Zou, Derun and Li, Ruichen and Lu, Sanglu}, title = {Federated Learning With Data-Agnostic Distribution Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8074-8083} }
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Wenhao and Luo, Haipeng and Fang, Bo and Wang, Jingdong and Ouyang, Wanli}, title = {Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10704-10713} }
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Man and Li, Feng and Zhang, Chunjie and Wei, Yunchao and Bai, Huihui and Zhao, Yao}, title = {Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15337-15346} }
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mehta_2023_CVPR, author = {Mehta, Nancy and Dudhane, Akshay and Murala, Subrahmanyam and Zamir, Syed Waqas and Khan, Salman and Khan, Fahad Shahbaz}, title = {Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22201-22210} }
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Shuquan and Xie, Yujia and Chen, Dongdong and Xu, Yichong and Yuan, Lu and Zhu, Chenguang and Liao, Jing}, title = {Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2634-2645} }
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning-
[pdf]
[bibtex]@InProceedings{Suo_2023_CVPR, author = {Suo, Wei and Sun, Mengyang and Liu, Weisong and Gao, Yiqi and Wang, Peng and Zhang, Yanning and Wu, Qi}, title = {S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2646-2656} }
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Donggun and Jang, Hyeonjoong and Kim, Inchul and Kim, Min H.}, title = {Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5023-5032} }
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Yeonguk and Shin, Sungho and Lee, Seongju and Jun, Changhyun and Lee, Kyoobin}, title = {Block Selection Method for Using Feature Norm in Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15701-15711} }
PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jiacong and Xiong, Zixiang and Bhattacharyya, Shankar P.}, title = {PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19529-19539} }
Four-View Geometry With Unknown Radial Distortion-
[pdf]
[supp]
[bibtex]@InProceedings{Hruby_2023_CVPR, author = {Hruby, Petr and Korotynskiy, Viktor and Duff, Timothy and Oeding, Luke and Pollefeys, Marc and Pajdla, Tomas and Larsson, Viktor}, title = {Four-View Geometry With Unknown Radial Distortion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8990-9000} }
Rethinking Optical Flow From Geometric Matching Consistent Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Qiaole and Cao, Chenjie and Fu, Yanwei}, title = {Rethinking Optical Flow From Geometric Matching Consistent Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1337-1347} }
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Qiang and Su, Huangyuan and Zhang, Jieyu and Hou, Xinwen}, title = {Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20215-20225} }
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Linfeng and Dong, Runpei and Tai, Hung-Shuo and Ma, Kaisheng}, title = {PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21791-21801} }
Learning Optical Expansion From Scale Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Ling_2023_CVPR, author = {Ling, Han and Sun, Yinghui and Sun, Quansen and Ren, Zhenwen}, title = {Learning Optical Expansion From Scale Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5445-5454} }
LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Sheng and Huynh, Cong Phuoc and Chen, Cong and Arap, Maxim and Hamid, Raffay}, title = {LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18290-18299} }
How To Prevent the Poor Performance Clients for Personalized Federated Learning?-
[pdf]
[supp]
[bibtex]@InProceedings{Qu_2023_CVPR, author = {Qu, Zhe and Li, Xingyu and Han, Xiao and Duan, Rui and Shen, Chengchao and Chen, Lixing}, title = {How To Prevent the Poor Performance Clients for Personalized Federated Learning?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12167-12176} }
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Bingnan and Zhang, Mi and Zhang, Zhan and Zhang, Zhili and Hu, Xiangyun}, title = {TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1265-1274} }
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second-
[pdf]
[supp]
[bibtex]@InProceedings{Berges_2023_CVPR, author = {Berges, Vincent-Pierre and Szot, Andrew and Chaplot, Devendra Singh and Gokaslan, Aaron and Mottaghi, Roozbeh and Batra, Dhruv and Undersander, Eric}, title = {Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13767-13777} }
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Diqiong and Song, Dan and Tong, Ruofeng and Tang, Min}, title = {StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {352-361} }
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Wenteng and Xue, Feng and Liu, Yihao and Zhong, Guofeng and Ming, Anlong}, title = {Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3230-3239} }
Discriminator-Cooperated Feature Map Distillation for GAN Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Tie and Lin, Mingbao and You, Lizhou and Chao, Fei and Ji, Rongrong}, title = {Discriminator-Cooperated Feature Map Distillation for GAN Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20351-20360} }
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection-
[pdf]
[bibtex]@InProceedings{Tan_2023_CVPR, author = {Tan, Chuangchuang and Zhao, Yao and Wei, Shikui and Gu, Guanghua and Wei, Yunchao}, title = {Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12105-12114} }
Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Fel_2023_CVPR, author = {Fel, Thomas and Ducoffe, Melanie and Vigouroux, David and Cad\`ene, R\'emi and Capelle, Mika\"el and Nicod\`eme, Claire and Serre, Thomas}, title = {Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16153-16163} }
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fu_2023_CVPR, author = {Fu, Yuqian and Xie, Yu and Fu, Yanwei and Jiang, Yu-Gang}, title = {StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24575-24584} }
Multi-Concept Customization of Text-to-Image Diffusion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kumari_2023_CVPR, author = {Kumari, Nupur and Zhang, Bingliang and Zhang, Richard and Shechtman, Eli and Zhu, Jun-Yan}, title = {Multi-Concept Customization of Text-to-Image Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1931-1941} }
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tejankar_2023_CVPR, author = {Tejankar, Ajinkya and Sanjabi, Maziar and Wang, Qifan and Wang, Sinong and Firooz, Hamed and Pirsiavash, Hamed and Tan, Liang}, title = {Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12239-12249} }
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Yan and Li, Mengke and Lu, Yang and Cheung, Yiu-ming and Wang, Hanzi}, title = {Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23695-23704} }
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kalluri_2023_CVPR, author = {Kalluri, Tarun and Xu, Wangdong and Chandraker, Manmohan}, title = {GeoNet: Benchmarking Unsupervised Adaptation Across Geographies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15368-15379} }
Context De-Confounded Emotion Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Dingkang and Chen, Zhaoyu and Wang, Yuzheng and Wang, Shunli and Li, Mingcheng and Liu, Siao and Zhao, Xiao and Huang, Shuai and Dong, Zhiyan and Zhai, Peng and Zhang, Lihua}, title = {Context De-Confounded Emotion Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19005-19015} }
LinK: Linear Kernel for LiDAR-Based 3D Perception-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2023_CVPR, author = {Lu, Tao and Ding, Xiang and Liu, Haisong and Wu, Gangshan and Wang, Limin}, title = {LinK: Linear Kernel for LiDAR-Based 3D Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1105-1115} }
CP3: Channel Pruning Plug-In for Point-Based Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Yaomin and Liu, Ning and Che, Zhengping and Xu, Zhiyuan and Shen, Chaomin and Peng, Yaxin and Zhang, Guixu and Liu, Xinmei and Feng, Feifei and Tang, Jian}, title = {CP3: Channel Pruning Plug-In for Point-Based Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5302-5312} }
InstructPix2Pix: Learning To Follow Image Editing Instructions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Brooks_2023_CVPR, author = {Brooks, Tim and Holynski, Aleksander and Efros, Alexei A.}, title = {InstructPix2Pix: Learning To Follow Image Editing Instructions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18392-18402} }
Learning Transformation-Predictive Representations for Detection and Description of Local Features-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zihao and Wu, Chunxu and Yang, Yifei and Li, Zhen}, title = {Learning Transformation-Predictive Representations for Detection and Description of Local Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11464-11473} }
Two-Way Multi-Label Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Kobayashi_2023_CVPR, author = {Kobayashi, Takumi}, title = {Two-Way Multi-Label Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7476-7485} }
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Duomin and Deng, Yu and Yin, Zixin and Shum, Heung-Yeung and Wang, Baoyuan}, title = {Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17979-17989} }
Breaking the "Object" in Video Object Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tokmakov_2023_CVPR, author = {Tokmakov, Pavel and Li, Jie and Gaidon, Adrien}, title = {Breaking the ''Object'' in Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22836-22845} }
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Mengmeng and Li, Yanghao and Fu, Cheng-Yang and Ghanem, Bernard and Xiang, Tao and P\'erez-R\'ua, Juan-Manuel}, title = {Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2593-2603} }
Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces-
[pdf]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Likang and Chen, Lei}, title = {Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12576-12587} }
ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2023_CVPR, author = {Jin, Shiwei and Wang, Zhen and Wang, Lei and Bi, Ning and Nguyen, Truong}, title = {ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5547-5556} }
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zhihong and Zhang, Ruifei and Song, Yibing and Wan, Xiang and Li, Guanbin}, title = {Advancing Visual Grounding With Scene Knowledge: Benchmark and Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15039-15049} }
Noisy Correspondence Learning With Meta Similarity Correction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Haochen and Miao, Kaiyao and Zheng, Qinghua and Luo, Minnan}, title = {Noisy Correspondence Learning With Meta Similarity Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7517-7526} }
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gadre_2023_CVPR, author = {Gadre, Samir Yitzhak and Wortsman, Mitchell and Ilharco, Gabriel and Schmidt, Ludwig and Song, Shuran}, title = {CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23171-23181} }
CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection-
[pdf]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yabo and Wang, Jinghua and Huang, Chao and Wang, Yaowei and Xu, Yong}, title = {CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23776-23786} }
Multiview Compressive Coding for 3D Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Chao-Yuan and Johnson, Justin and Malik, Jitendra and Feichtenhofer, Christoph and Gkioxari, Georgia}, title = {Multiview Compressive Coding for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9065-9075} }
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Grigorev_2023_CVPR, author = {Grigorev, Artur and Black, Michael J. and Hilliges, Otmar}, title = {HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16965-16974} }
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling-
[pdf]
[supp]
[bibtex]@InProceedings{Attal_2023_CVPR, author = {Attal, Benjamin and Huang, Jia-Bin and Richardt, Christian and Zollh\"ofer, Michael and Kopf, Johannes and O{\textquoteright}Toole, Matthew and Kim, Changil}, title = {HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16610-16620} }
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Piergiovanni_2023_CVPR, author = {Piergiovanni, AJ and Kuo, Weicheng and Angelova, Anelia}, title = {Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2214-2224} }
Modeling Entities As Semantic Points for Visual Information Extraction in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Zhibo and Long, Rujiao and Wang, Pengfei and Song, Sibo and Zhong, Humen and Cheng, Wenqing and Bai, Xiang and Yao, Cong}, title = {Modeling Entities As Semantic Points for Visual Information Extraction in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15358-15367} }
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Miles_2023_CVPR, author = {Miles, Roy and Yucel, Mehmet Kerim and Manganelli, Bruno and Sa\`a-Garriga, Albert}, title = {MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10480-10490} }
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2023_CVPR, author = {Lin, Huiwei and Zhang, Baoquan and Feng, Shanshan and Li, Xutao and Ye, Yunming}, title = {PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24246-24255} }
Pose Synchronization Under Multiple Pair-Wise Relative Poses-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Yifan and Huang, Qixing}, title = {Pose Synchronization Under Multiple Pair-Wise Relative Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13072-13081} }
Unsupervised Continual Semantic Adaptation Through Neural Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Zhizheng and Milano, Francesco and Frey, Jonas and Siegwart, Roland and Blum, Hermann and Cadena, Cesar}, title = {Unsupervised Continual Semantic Adaptation Through Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3031-3040} }
Controllable Light Diffusion for Portraits-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Futschik_2023_CVPR, author = {Futschik, David and Ritland, Kelvin and Vecore, James and Fanello, Sean and Orts-Escolano, Sergio and Curless, Brian and S\'ykora, Daniel and Pandey, Rohit}, title = {Controllable Light Diffusion for Portraits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8412-8421} }
Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Tianjiao and Foo, Lin Geng and Hu, Ping and Shang, Xindi and Rahmani, Hossein and Yuan, Zehuan and Liu, Jun}, title = {Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {24027-24038} }
Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Mingjun and Qin, Lingyun and Chen, Weijie and Pu, Shiliang and Zhang, Lei}, title = {Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8103-8112} }
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feng_2023_CVPR, author = {Feng, Chen and Patras, Ioannis}, title = {MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19913-19922} }
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Hao and Zhang, Dingwen and Liu, Nian and Cheng, Lechao and Dai, Yalun and Zhang, Chao and Wang, Xinggang and Han, Junwei}, title = {Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15485-15494} }
Virtual Occlusions Through Implicit Depth-
[pdf]
[arXiv]
[bibtex]@InProceedings{Watson_2023_CVPR, author = {Watson, Jamie and Sayed, Mohamed and Qureshi, Zawar and Brostow, Gabriel J. and Vicente, Sara and Mac Aodha, Oisin and Firman, Michael}, title = {Virtual Occlusions Through Implicit Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9053-9064} }
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion-
[pdf]
[supp]
[bibtex]@InProceedings{Yin_2023_CVPR, author = {Yin, Shenglin and Yao, Kelu and Shi, Sheng and Du, Yangzhou and Xiao, Zhen}, title = {AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20544-20553} }
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{VS_2023_CVPR, author = {VS, Vibashan and Oza, Poojan and Patel, Vishal M.}, title = {Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3520-3530} }
Instant Multi-View Head Capture Through Learnable Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Bolkart_2023_CVPR, author = {Bolkart, Timo and Li, Tianye and Black, Michael J.}, title = {Instant Multi-View Head Capture Through Learnable Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {768-779} }
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Fengyi and Gurram, Akhil and Liu, Ziyuan and Wang, He and Knoll, Alois}, title = {DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15866-15877} }
DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion-
[pdf]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Wenliang and Rao, Yongming and Shi, Weikang and Liu, Zuyan and Zhou, Jie and Lu, Jiwen}, title = {DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8568-8577} }
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Bokui and Yan, Xinchen and Qi, Charles R. and Najibi, Mahyar and Deng, Boyang and Guibas, Leonidas and Zhou, Yin and Anguelov, Dragomir}, title = {GINA-3D: Learning To Generate Implicit Neural Assets in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4913-4926} }
Consistent Direct Time-of-Flight Video Depth Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Zhanghao and Ye, Wei and Xiong, Jinhui and Choe, Gyeongmin and Wang, Jialiang and Su, Shuochen and Ranjan, Rakesh}, title = {Consistent Direct Time-of-Flight Video Depth Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5075-5085} }
Crossing the Gap: Domain Generalization for Image Captioning-
[pdf]
[supp]
[bibtex]@InProceedings{Ren_2023_CVPR, author = {Ren, Yuchen and Mao, Zhendong and Fang, Shancheng and Lu, Yan and He, Tong and Du, Hao and Zhang, Yongdong and Ouyang, Wanli}, title = {Crossing the Gap: Domain Generalization for Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2871-2880} }
Probabilistic Prompt Learning for Dense Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kwon_2023_CVPR, author = {Kwon, Hyeongjun and Song, Taeyong and Jeong, Somi and Kim, Jin and Jang, Jinhyun and Sohn, Kwanghoon}, title = {Probabilistic Prompt Learning for Dense Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6768-6777} }
Learned Image Compression With Mixed Transformer-CNN Architectures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Jinming and Sun, Heming and Katto, Jiro}, title = {Learned Image Compression With Mixed Transformer-CNN Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14388-14397} }
Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yunfei and Huo, Xiaoyang and Chen, Tianyi and Wu, Si and Wong, Hau San}, title = {Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7392-7401} }
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2023_CVPR, author = {Meng, Xiaoxu and Chen, Weikai and Yang, Bo}, title = {NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {248-258} }
Quantum Multi-Model Fitting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Farina_2023_CVPR, author = {Farina, Matteo and Magri, Luca and Menapace, Willi and Ricci, Elisa and Golyanik, Vladislav and Arrigoni, Federica}, title = {Quantum Multi-Model Fitting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13640-13649} }
SPARF: Neural Radiance Fields From Sparse and Noisy Poses-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Truong_2023_CVPR, author = {Truong, Prune and Rakotosaona, Marie-Julie and Manhardt, Fabian and Tombari, Federico}, title = {SPARF: Neural Radiance Fields From Sparse and Noisy Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4190-4200} }
ABLE-NeRF: Attention-Based Rendering With Learnable Embeddings for Neural Radiance Field-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2023_CVPR, author = {Tang, Zhe Jun and Cham, Tat-Jen and Zhao, Haiyu}, title = {ABLE-NeRF: Attention-Based Rendering With Learnable Embeddings for Neural Radiance Field}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16559-16568} }
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2023_CVPR, author = {Yao, Jie-En and Tsao, Li-Yuan and Lo, Yi-Chen and Tseng, Roy and Chang, Chia-Che and Lee, Chun-Yi}, title = {Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1776-1785} }
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Jeong_2023_CVPR, author = {Jeong, Jongheon and Zou, Yang and Kim, Taewan and Zhang, Dongqing and Ravichandran, Avinash and Dabeer, Onkar}, title = {WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19606-19616} }
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rosu_2023_CVPR, author = {Rosu, Radu Alexandru and Behnke, Sven}, title = {PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8466-8475} }
TriDet: Temporal Action Detection With Relative Boundary Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Dingfeng and Zhong, Yujie and Cao, Qiong and Ma, Lin and Li, Jia and Tao, Dacheng}, title = {TriDet: Temporal Action Detection With Relative Boundary Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18857-18866} }
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Meng_2023_CVPR, author = {Meng, Lingchen and Dai, Xiyang and Chen, Yinpeng and Zhang, Pengchuan and Chen, Dongdong and Liu, Mengchen and Wang, Jianfeng and Wu, Zuxuan and Yuan, Lu and Jiang, Yu-Gang}, title = {Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11402-11411} }
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Jiale and Wang, Xintao and Cheng, Weihao and Cao, Yan-Pei and Shan, Ying and Qie, Xiaohu and Gao, Shenghua}, title = {Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20908-20918} }
Adversarial Normalization: I Can Visualize Everything (ICE)-
[pdf]
[bibtex]@InProceedings{Choi_2023_CVPR, author = {Choi, Hoyoung and Jin, Seungwan and Han, Kyungsik}, title = {Adversarial Normalization: I Can Visualize Everything (ICE)}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12115-12124} }
Reinforcement Learning-Based Black-Box Model Inversion Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Gyojin and Choi, Jaehyun and Lee, Haeil and Kim, Junmo}, title = {Reinforcement Learning-Based Black-Box Model Inversion Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20504-20513} }
Learning a Deep Color Difference Metric for Photographic Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Haoyu and Wang, Zhihua and Yang, Yang and Sun, Qilin and Ma, Kede}, title = {Learning a Deep Color Difference Metric for Photographic Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22242-22251} }
1000 FPS HDR Video With a Spike-RGB Hybrid Camera-
[pdf]
[supp]
[bibtex]@InProceedings{Chang_2023_CVPR, author = {Chang, Yakun and Zhou, Chu and Hong, Yuchen and Hu, Liwen and Xu, Chao and Huang, Tiejun and Shi, Boxin}, title = {1000 FPS HDR Video With a Spike-RGB Hybrid Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22180-22190} }
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Yichen and Xu, Mai and Jiang, Lai and Sigal, Leonid and Chen, Yunjin}, title = {DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21519-21528} }
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs-
[pdf]
[supp]
[bibtex]@InProceedings{Arsomngern_2023_CVPR, author = {Arsomngern, Pattaramanee and Nutanong, Sarana and Suwajanakorn, Supasorn}, title = {Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21371-21381} }
Texts as Images in Prompt Tuning for Multi-Label Image Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Zixian and Dong, Bowen and Ji, Zhilong and Bai, Jinfeng and Guo, Yiwen and Zuo, Wangmeng}, title = {Texts as Images in Prompt Tuning for Multi-Label Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2808-2817} }
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kan_2023_CVPR, author = {Kan, Zhehan and Chen, Shuoshuo and Zhang, Ce and Tang, Yushun and He, Zhihai}, title = {Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5537-5546} }
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Runqi and Zheng, Hao and Duan, Xiaoyue and Liu, Jianzhuang and Lu, Yuning and Wang, Tian and Xu, Songcen and Zhang, Baochang}, title = {Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23445-23454} }
Referring Multi-Object Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Dongming and Han, Wencheng and Wang, Tiancai and Dong, Xingping and Zhang, Xiangyu and Shen, Jianbing}, title = {Referring Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14633-14642} }
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Goyal_2023_CVPR, author = {Goyal, Sachin and Kumar, Ananya and Garg, Sankalp and Kolter, Zico and Raghunathan, Aditi}, title = {Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19338-19347} }
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2023_CVPR, author = {Luo, Kangyang and Li, Xiang and Lan, Yunshi and Gao, Ming}, title = {GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3708-3717} }
Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training-
[pdf]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Yifei and Yang, Lijin and Sato, Yoichi}, title = {Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18908-18918} }
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning-
[pdf]
[bibtex]@InProceedings{Yu_2023_CVPR, author = {Yu, Zhongzhi and Wu, Shang and Fu, Yonggan and Zhang, Shunyao and Lin, Yingyan (Celine)}, title = {Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11102-11112} }
A Strong Baseline for Generalized Few-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hajimiri_2023_CVPR, author = {Hajimiri, Sina and Boudiaf, Malik and Ben Ayed, Ismail and Dolz, Jose}, title = {A Strong Baseline for Generalized Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11269-11278} }
AutoRecon: Automated 3D Object Discovery and Reconstruction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yuang and He, Xingyi and Peng, Sida and Lin, Haotong and Bao, Hujun and Zhou, Xiaowei}, title = {AutoRecon: Automated 3D Object Discovery and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21382-21391} }
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2023_CVPR, author = {Zheng, Ce and Liu, Xianpeng and Qi, Guo-Jun and Chen, Chen}, title = {POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1611-1620} }
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Cheng and Fan, Leidong and Xue, Ziyu and Jiang, Xiuhua}, title = {Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22231-22241} }
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2023_CVPR, author = {Deng, Yu and Wang, Baoyuan and Shum, Heung-Yeung}, title = {Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4423-4433} }
Patch-Craft Self-Supervised Training for Correlated Image Denoising-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vaksman_2023_CVPR, author = {Vaksman, Gregory and Elad, Michael}, title = {Patch-Craft Self-Supervised Training for Correlated Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5795-5804} }
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Rui and Gong, Dong and Yin, Wei and Chen, Hao and Zhu, Yu and Wang, Kaixuan and Chen, Xiaozhi and Sun, Jinqiu and Zhang, Yanning}, title = {Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21539-21548} }
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pi_2023_CVPR, author = {Pi, Renjie and Zhang, Weizhong and Xie, Yueqi and Gao, Jiahui and Wang, Xiaoyu and Kim, Sunghun and Chen, Qifeng}, title = {DynaFed: Tackling Client Data Heterogeneity With Global Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12177-12186} }
Bias-Eliminating Augmentation Learning for Debiased Federated Learning-
[pdf]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Yuan-Yi and Lin, Ci-Siang and Wang, Yu-Chiang Frank}, title = {Bias-Eliminating Augmentation Learning for Debiased Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20442-20452} }
DistilPose: Tokenized Pose Regression With Heatmap Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Suhang and Zhang, Yingyi and Hu, Jie and Cao, Liujuan and Zhang, Shengchuan and Shen, Lei and Wang, Jun and Ding, Shouhong and Ji, Rongrong}, title = {DistilPose: Tokenized Pose Regression With Heatmap Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2163-2172} }
Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2023_CVPR, author = {Zhu, Zijian and Zhang, Yichi and Chen, Hai and Dong, Yinpeng and Zhao, Shu and Ding, Wenbo and Zhong, Jiachen and Zheng, Shibao}, title = {Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21600-21610} }
Neural Volumetric Memory for Visual Locomotion Control-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Ruihan and Yang, Ge and Wang, Xiaolong}, title = {Neural Volumetric Memory for Visual Locomotion Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1430-1440} }
CUF: Continuous Upsampling Filters-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vasconcelos_2023_CVPR, author = {Vasconcelos, Cristina N. and Oztireli, Cengiz and Matthews, Mark and Hashemi, Milad and Swersky, Kevin and Tagliasacchi, Andrea}, title = {CUF: Continuous Upsampling Filters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9999-10008} }
Generalist: Decoupling Natural and Robust Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hongjun and Wang, Yisen}, title = {Generalist: Decoupling Natural and Robust Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20554-20563} }
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Yihao and Wang, Zhigang and Zhao, Bin and Wang, Dong and Chen, Mulin and Li, Xuelong}, title = {Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {972-981} }
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shigeto_2023_CVPR, author = {Shigeto, Yutaro and Shimbo, Masashi and Yoshikawa, Yuya and Takeuchi, Akikazu}, title = {Learning Decorrelated Representations Efficiently Using Fast Fourier Transform}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2052-2060} }
Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Do_2023_CVPR, author = {Do, Hoseok and Yoo, EunKyung and Kim, Taehyeong and Lee, Chul and Choi, Jin Young}, title = {Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8529-8538} }
Explicit Visual Prompting for Low-Level Structure Segmentations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Weihuang and Shen, Xi and Pun, Chi-Man and Cun, Xiaodong}, title = {Explicit Visual Prompting for Low-Level Structure Segmentations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19434-19445} }
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Jiechao and Liu, Yong and Xu, Hongteng}, title = {HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11990-12000} }
Two-Shot Video Object Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Kun and Li, Xiao and Wei, Fangyun and Wang, Jinglu and Zhang, Chenbin and Wang, Ping and Lu, Yan}, title = {Two-Shot Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2257-2267} }
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Zian and Shen, Tianchang and Gao, Jun and Huang, Shengyu and Munkberg, Jacob and Hasselgren, Jon and Gojcic, Zan and Chen, Wenzheng and Fidler, Sanja}, title = {Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8370-8380} }
Practical Network Acceleration With Tiny Sets-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Guo-Hua and Wu, Jianxin}, title = {Practical Network Acceleration With Tiny Sets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20331-20340} }
NeRF-RPN: A General Framework for Object Detection in NeRFs-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2023_CVPR, author = {Hu, Benran and Huang, Junkai and Liu, Yichen and Tai, Yu-Wing and Tang, Chi-Keung}, title = {NeRF-RPN: A General Framework for Object Detection in NeRFs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {23528-23538} }
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Kotovenko_2023_CVPR, author = {Kotovenko, Dmytro and Ma, Pingchuan and Milbich, Timo and Ommer, Bj\"orn}, title = {Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11070-11081} }
Masked Wavelet Representation for Compact Neural Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rho_2023_CVPR, author = {Rho, Daniel and Lee, Byeonghyeon and Nam, Seungtae and Lee, Joo Chan and Ko, Jong Hwan and Park, Eunbyung}, title = {Masked Wavelet Representation for Compact Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20680-20690} }
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Anthony and Zhang, Kevin and Zhang, Renrui and Wang, Zihan and Lu, Yuheng and Guo, Yandong and Zhang, Shanghang}, title = {PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5291-5301} }
ObjectStitch: Object Compositing With Diffusion Model-
[pdf]
[supp]
[bibtex]@InProceedings{Song_2023_CVPR, author = {Song, Yizhi and Zhang, Zhifei and Lin, Zhe and Cohen, Scott and Price, Brian and Zhang, Jianming and Kim, Soo Ye and Aliaga, Daniel}, title = {ObjectStitch: Object Compositing With Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18310-18319} }
High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Jiaxin and Ouyang, Hao and Piao, Jingtan and Lei, Chenyang and Chen, Qifeng}, title = {High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {321-331} }
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2023_CVPR, author = {Huang, Shaofei and Shen, Zhenwei and Huang, Zehao and Ding, Zi-han and Dai, Jiao and Han, Jizhong and Wang, Naiyan and Liu, Si}, title = {Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17451-17460} }
Class-Balancing Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qin_2023_CVPR, author = {Qin, Yiming and Zheng, Huangjie and Yao, Jiangchao and Zhou, Mingyuan and Zhang, Ya}, title = {Class-Balancing Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18434-18443} }
AstroNet: When Astrocyte Meets Artificial Neural Network-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2023_CVPR, author = {Han, Mengqiao and Pan, Liyuan and Liu, Xiabi}, title = {AstroNet: When Astrocyte Meets Artificial Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20258-20268} }
Feature Alignment and Uniformity for Test Time Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Shuai and Zhang, Daoan and Yan, Zipei and Zhang, Jianguo and Li, Rui}, title = {Feature Alignment and Uniformity for Test Time Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20050-20060} }
Balanced Product of Calibrated Experts for Long-Tailed Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Aimar_2023_CVPR, author = {Aimar, Emanuel Sanchez and Jonnarth, Arvi and Felsberg, Michael and Kuhlmann, Marco}, title = {Balanced Product of Calibrated Experts for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19967-19977} }
Single Image Backdoor Inversion via Robust Smoothed Classifiers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Mingjie and Kolter, Zico}, title = {Single Image Backdoor Inversion via Robust Smoothed Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8113-8122} }
PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding-
[pdf]
[supp]
[bibtex]@InProceedings{Ling_2023_CVPR, author = {Ling, Zhixin and Xing, Zhen and Zhou, Xiangdong and Cao, Manliang and Zhou, Guichun}, title = {PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17755-17764} }
Parameter Efficient Local Implicit Image Function Network for Face Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sarkar_2023_CVPR, author = {Sarkar, Mausoom and Nikitha, SR and Hemani, Mayur and Jain, Rishabh and Krishnamurthy, Balaji}, title = {Parameter Efficient Local Implicit Image Function Network for Face Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20970-20980} }
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lei_2023_CVPR, author = {Lei, Biwen and Ren, Jianqiang and Feng, Mengyang and Cui, Miaomiao and Xie, Xuansong}, title = {A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {394-403} }
PersonNeRF: Personalized Reconstruction From Photo Collections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Weng_2023_CVPR, author = {Weng, Chung-Yi and Srinivasan, Pratul P. and Curless, Brian and Kemelmacher-Shlizerman, Ira}, title = {PersonNeRF: Personalized Reconstruction From Photo Collections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {524-533} }
Enhanced Multimodal Representation Learning With Cross-Modal KD-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Mengxi and Xing, Linyu and Wang, Yu and Zhang, Ya}, title = {Enhanced Multimodal Representation Learning With Cross-Modal KD}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11766-11775} }
Learning a Depth Covariance Function-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dexheimer_2023_CVPR, author = {Dexheimer, Eric and Davison, Andrew J.}, title = {Learning a Depth Covariance Function}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13122-13131} }
Evading DeepFake Detectors via Adversarial Statistical Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hou_2023_CVPR, author = {Hou, Yang and Guo, Qing and Huang, Yihao and Xie, Xiaofei and Ma, Lei and Zhao, Jianjun}, title = {Evading DeepFake Detectors via Adversarial Statistical Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12271-12280} }
Referring Image Matting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jizhizi and Zhang, Jing and Tao, Dacheng}, title = {Referring Image Matting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22448-22457} }
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Runsheng and Xia, Xin and Li, Jinlong and Li, Hanzhao and Zhang, Shuo and Tu, Zhengzhong and Meng, Zonglin and Xiang, Hao and Dong, Xiaoyu and Song, Rui and Yu, Hongkai and Zhou, Bolei and Ma, Jiaqi}, title = {V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13712-13722} }
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases-
[pdf]
[supp]
[bibtex]@InProceedings{Basu_2023_CVPR, author = {Basu, Abhipsa and Addepalli, Sravanti and Babu, R. Venkatesh}, title = {RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11671-11680} }
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Dejia and Jiang, Yifan and Wang, Peihao and Fan, Zhiwen and Wang, Yi and Wang, Zhangyang}, title = {NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4479-4489} }
ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2023_CVPR, author = {Gu, Junru and Hu, Chenxu and Zhang, Tianyuan and Chen, Xuanyao and Wang, Yilun and Wang, Yue and Zhao, Hang}, title = {ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5496-5506} }
Modality-Invariant Visual Odometry for Embodied Vision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Memmel_2023_CVPR, author = {Memmel, Marius and Bachmann, Roman and Zamir, Amir}, title = {Modality-Invariant Visual Odometry for Embodied Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21549-21559} }
What You Can Reconstruct From a Shadow-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Ruoshi and Menon, Sachit and Mao, Chengzhi and Park, Dennis and Stent, Simon and Vondrick, Carl}, title = {What You Can Reconstruct From a Shadow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17059-17068} }
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Bowei and Huang, Yecheng and Chen, Jiaxin and Huang, Di}, title = {Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13435-13444} }
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2023_CVPR, author = {Shen, Chuanfu and Fan, Chao and Wu, Wei and Wang, Rui and Huang, George Q. and Yu, Shiqi}, title = {LidarGait: Benchmarking 3D Gait Recognition With Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1054-1063} }
Command-Driven Articulated Object Understanding and Manipulation-
[pdf]
[supp]
[bibtex]@InProceedings{Chu_2023_CVPR, author = {Chu, Ruihang and Liu, Zhengzhe and Ye, Xiaoqing and Tan, Xiao and Qi, Xiaojuan and Fu, Chi-Wing and Jia, Jiaya}, title = {Command-Driven Articulated Object Understanding and Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {8813-8823} }
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{He_2023_CVPR, author = {He, Jianfeng and Gao, Yuan and Zhang, Tianzhu and Zhang, Zhe and Wu, Feng}, title = {D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2904-2914} }
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Smith_2023_CVPR, author = {Smith, James Seale and Cascante-Bonilla, Paola and Arbelle, Assaf and Kim, Donghyun and Panda, Rameswar and Cox, David and Yang, Diyi and Kira, Zsolt and Feris, Rogerio and Karlinsky, Leonid}, title = {ConStruct-VL: Data-Free Continual Structured VL Concepts Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {14994-15004} }
Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Feng and Zeng, Ailing and Liu, Shilong and Zhang, Hao and Li, Hongyang and Zhang, Lei and Ni, Lionel M.}, title = {Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18558-18567} }
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2023_CVPR, author = {Liang, Zhihao and Huang, Zhangjin and Ding, Changxing and Jia, Kui}, title = {HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13165-13174} }
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction-
[pdf]
[supp]
[bibtex]@InProceedings{Fan_2023_CVPR, author = {Fan, Bin and Mao, Yuxin and Dai, Yuchao and Wan, Zhexiong and Liu, Qi}, title = {Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5671-5681} }
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2023_CVPR, author = {Xie, Yi and Zhang, Huaidong and Xu, Xuemiao and Zhu, Jianqing and He, Shengfeng}, title = {Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16006-16015} }
Federated Incremental Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2023_CVPR, author = {Dong, Jiahua and Zhang, Duzhen and Cong, Yang and Cong, Wei and Ding, Henghui and Dai, Dengxin}, title = {Federated Incremental Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3934-3943} }
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data-
[pdf]
[supp]
[bibtex]@InProceedings{Zeng_2023_CVPR, author = {Zeng, Libing and Chen, Lele and Bao, Wentao and Li, Zhong and Xu, Yi and Yuan, Junsong and Kalantari, Nima Khademi}, title = {3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12747-12758} }
Attention-Based Point Cloud Edge Sampling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Chengzhi and Zheng, Junwei and Pfrommer, Julius and Beyerer, J\"urgen}, title = {Attention-Based Point Cloud Edge Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5333-5343} }
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2023_CVPR, author = {Du, Yuming and Kips, Robin and Pumarola, Albert and Starke, Sebastian and Thabet, Ali and Sanakoyeu, Artsiom}, title = {Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {481-490} }
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zhiqin and Funkhouser, Thomas and Hedman, Peter and Tagliasacchi, Andrea}, title = {MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16569-16578} }
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation-
[pdf]
[bibtex]@InProceedings{Basak_2023_CVPR, author = {Basak, Hritam and Yin, Zhaozheng}, title = {Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19786-19797} }
Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhenyu and Chen, Renwang and Cao, Weijian and Tai, Ying and Wang, Chengjie}, title = {Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {382-393} }
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lan_2023_CVPR, author = {Lan, Yushi and Meng, Xuyi and Yang, Shuai and Loy, Chen Change and Dai, Bo}, title = {Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20940-20949} }
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Melas-Kyriazi_2023_CVPR, author = {Melas-Kyriazi, Luke and Rupprecht, Christian and Vedaldi, Andrea}, title = {PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12923-12932} }
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Hanjing and Joshi, Dhiraj and Wang, Shiqiang and Ji, Qiang}, title = {Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12044-12053} }
Manipulating Transfer Learning for Property Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2023_CVPR, author = {Tian, Yulong and Suya, Fnu and Suri, Anshuman and Xu, Fengyuan and Evans, David}, title = {Manipulating Transfer Learning for Property Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15975-15984} }
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2023_CVPR, author = {Yang, Lixin and Xu, Jian and Zhong, Licheng and Zhan, Xinyu and Wang, Zhicheng and Wu, Kejian and Lu, Cewu}, title = {POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21108-21117} }
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Ao_2023_CVPR, author = {Ao, Sheng and Hu, Qingyong and Wang, Hanyun and Xu, Kai and Guo, Yulan}, title = {BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1255-1264} }
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Stegmuller_2023_CVPR, author = {Stegm\"uller, Thomas and Lebailly, Tim and Bozorgtabar, Behzad and Tuytelaars, Tinne and Thiran, Jean-Philippe}, title = {CrOC: Cross-View Online Clustering for Dense Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7000-7009} }
Class Adaptive Network Calibration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Bingyuan and Rony, J\'er\^ome and Galdran, Adrian and Dolz, Jose and Ben Ayed, Ismail}, title = {Class Adaptive Network Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16070-16079} }
DrapeNet: Garment Generation and Self-Supervised Draping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{De_Luigi_2023_CVPR, author = {De Luigi, Luca and Li, Ren and Guillard, Beno{\^\i}t and Salzmann, Mathieu and Fua, Pascal}, title = {DrapeNet: Garment Generation and Self-Supervised Draping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1451-1460} }
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces-
[pdf]
[supp]
[bibtex]@InProceedings{Shamshad_2023_CVPR, author = {Shamshad, Fahad and Srivatsan, Koushik and Nandakumar, Karthik}, title = {Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16469-16478} }
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xinjiang and Liu, Zeyu and Hu, Yu and Xi, Wei and Yu, Wenxian and Zou, Danping}, title = {FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7630-7639} }
Progressively Optimized Local Radiance Fields for Robust View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meuleman_2023_CVPR, author = {Meuleman, Andr\'eas and Liu, Yu-Lun and Gao, Chen and Huang, Jia-Bin and Kim, Changil and Kim, Min H. and Kopf, Johannes}, title = {Progressively Optimized Local Radiance Fields for Robust View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16539-16548} }
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Gongjie and Luo, Zhipeng and Tian, Zichen and Zhang, Jingyi and Zhang, Xiaoqin and Lu, Shijian}, title = {Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6206-6216} }
Delivering Arbitrary-Modal Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jiaming and Liu, Ruiping and Shi, Hao and Yang, Kailun and Rei{\ss}, Simon and Peng, Kunyu and Fu, Haodong and Wang, Kaiwei and Stiefelhagen, Rainer}, title = {Delivering Arbitrary-Modal Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {1136-1147} }
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Zhe and Peng, Rui and Hu, Yuxi and Wang, Ronggang}, title = {GeoMVSNet: Learning Multi-View Stereo With Geometry Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21508-21518} }
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Xinjiang and Yang, Xingyi and Zhang, Shilong and Li, Yijiang and Feng, Litong and Fang, Shijie and Lyu, Chengqi and Chen, Kai and Zhang, Wayne}, title = {Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3240-3249} }
OCTET: Object-Aware Counterfactual Explanations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zemni_2023_CVPR, author = {Zemni, Mehdi and Chen, Micka\"el and Zablocki, \'Eloi and Ben-Younes, H\'edi and P\'erez, Patrick and Cord, Matthieu}, title = {OCTET: Object-Aware Counterfactual Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15062-15071} }
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tomar_2023_CVPR, author = {Tomar, Devavrat and Vray, Guillaume and Bozorgtabar, Behzad and Thiran, Jean-Philippe}, title = {TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20341-20350} }
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2023_CVPR, author = {Zhao, Qi and Asif, M. Salman and Ma, Zhan}, title = {DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2031-2040} }
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension-
[pdf]
[bibtex]@InProceedings{Sun_2023_CVPR, author = {Sun, Jiamu and Luo, Gen and Zhou, Yiyi and Sun, Xiaoshuai and Jiang, Guannan and Wang, Zhiyu and Ji, Rongrong}, title = {RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19144-19154} }
Handwritten Text Generation From Visual Archetypes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pippi_2023_CVPR, author = {Pippi, Vittorio and Cascianelli, Silvia and Cucchiara, Rita}, title = {Handwritten Text Generation From Visual Archetypes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22458-22467} }
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge-
[pdf]
[supp]
[bibtex]@InProceedings{Spratley_2023_CVPR, author = {Spratley, Steven and Ehinger, Krista A. and Miller, Tim}, title = {Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19082-19091} }
FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures-
[pdf]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Weijie and Wang, Xinyan and Wang, Yuhang}, title = {FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19776-19785} }
Polarized Color Image Denoising-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Zhuoxiao and Jiang, Haiyang and Cao, Mingdeng and Zheng, Yinqiang}, title = {Polarized Color Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9873-9882} }
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Gong_2023_CVPR, author = {Gong, Rui and Wang, Qin and Danelljan, Martin and Dai, Dengxin and Van Gool, Luc}, title = {Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7225-7235} }
Hyperbolic Contrastive Learning for Visual Representations Beyond Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ge_2023_CVPR, author = {Ge, Songwei and Mishra, Shlok and Kornblith, Simon and Li, Chun-Liang and Jacobs, David}, title = {Hyperbolic Contrastive Learning for Visual Representations Beyond Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6840-6849} }
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Blattmann_2023_CVPR, author = {Blattmann, Andreas and Rombach, Robin and Ling, Huan and Dockhorn, Tim and Kim, Seung Wook and Fidler, Sanja and Kreis, Karsten}, title = {Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22563-22575} }
AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2023_CVPR, author = {Jiang, Yifan and Hedman, Peter and Mildenhall, Ben and Xu, Dejia and Barron, Jonathan T. and Wang, Zhangyang and Xue, Tianfan}, title = {AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {46-55} }
NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Yi_2023_CVPR, author = {Yi, Yun and Zhang, Haokui and Hu, Wenze and Wang, Nannan and Wang, Xiaoyu}, title = {NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7715-7724} }
Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View-
[pdf]
[supp]
[bibtex]@InProceedings{Cho_2023_CVPR, author = {Cho, Hanbyel and Cho, Yooshin and Ahn, Jaesung and Kim, Junmo}, title = {Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {21148-21158} }
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Jingyi and Huang, Jiaxing and Zhang, Xiaoqin and Lu, Shijian}, title = {UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11227-11237} }
Non-Contrastive Learning Meets Language-Image Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Jinghao and Dong, Li and Gan, Zhe and Wang, Lijuan and Wei, Furu}, title = {Non-Contrastive Learning Meets Language-Image Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {11028-11038} }
Teaching Structured Vision & Language Concepts to Vision & Language Models-
[pdf]
[supp]
[bibtex]@InProceedings{Doveh_2023_CVPR, author = {Doveh, Sivan and Arbelle, Assaf and Harary, Sivan and Schwartz, Eli and Herzig, Roei and Giryes, Raja and Feris, Rogerio and Panda, Rameswar and Ullman, Shimon and Karlinsky, Leonid}, title = {Teaching Structured Vision \& Language Concepts to Vision \& Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2657-2668} }
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction-
[pdf]
[supp]
[bibtex]@InProceedings{Kawahara_2023_CVPR, author = {Kawahara, Ryo and Kuo, Meng-Yu Jennifer and Nobuhara, Shohei}, title = {Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20813-20822} }
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Yue and Wang, Xuan and Chen, Xingyu and Zhang, Qi and Li, Xiaoyu and Guo, Yu and Wang, Jue and Wang, Fei}, title = {UV Volumes for Real-Time Rendering of Editable Free-View Human Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16621-16631} }
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mokady_2023_CVPR, author = {Mokady, Ron and Hertz, Amir and Aberman, Kfir and Pritch, Yael and Cohen-Or, Daniel}, title = {NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6038-6047} }
JacobiNeRF: NeRF Shaping With Mutual Information Gradients-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Xiaomeng and Yang, Yanchao and Mo, Kaichun and Pan, Boxiao and Yi, Li and Guibas, Leonidas}, title = {JacobiNeRF: NeRF Shaping With Mutual Information Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16498-16507} }
Selective Structured State-Spaces for Long-Form Video Understanding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2023_CVPR, author = {Wang, Jue and Zhu, Wentao and Wang, Pichao and Yu, Xiang and Liu, Linda and Omar, Mohamed and Hamid, Raffay}, title = {Selective Structured State-Spaces for Long-Form Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6387-6397} }
Open-Set Representation Learning Through Combinatorial Embedding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2023_CVPR, author = {Kim, Geeho and Kang, Junoh and Han, Bohyung}, title = {Open-Set Representation Learning Through Combinatorial Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19744-19753} }
Multi-View Stereo Representation Revist: Region-Aware MVSNet-
[pdf]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yisu and Zhu, Jianke and Lin, Lixiang}, title = {Multi-View Stereo Representation Revist: Region-Aware MVSNet}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {17376-17385} }
A Unified HDR Imaging Method With Pixel and Patch Level-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Qingsen and Chen, Weiye and Zhang, Song and Zhu, Yu and Sun, Jinqiu and Zhang, Yanning}, title = {A Unified HDR Imaging Method With Pixel and Patch Level}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22211-22220} }
Motion Information Propagation for Neural Video Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Qi_2023_CVPR, author = {Qi, Linfeng and Li, Jiahao and Li, Bin and Li, Houqiang and Lu, Yan}, title = {Motion Information Propagation for Neural Video Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {6111-6120} }
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses-
[pdf]
[supp]
[bibtex]@InProceedings{Brachmann_2023_CVPR, author = {Brachmann, Eric and Cavallari, Tommaso and Prisacariu, Victor Adrian}, title = {Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {5044-5053} }
Switchable Representation Learning Framework With Self-Compatibility-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2023_CVPR, author = {Wu, Shengsen and Bai, Yan and Lou, Yihang and Linghu, Xiongkun and He, Jianzhong and Duan, Ling-Yu}, title = {Switchable Representation Learning Framework With Self-Compatibility}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15943-15953} }
Partial Network Cloning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2023_CVPR, author = {Ye, Jingwen and Liu, Songhua and Wang, Xinchao}, title = {Partial Network Cloning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {20137-20146} }
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2023_CVPR, author = {Zhang, Yuang and Wang, Tiancai and Zhang, Xiangyu}, title = {MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {22056-22065} }
Zero-Shot Dual-Lens Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2023_CVPR, author = {Xu, Ruikang and Yao, Mingde and Xiong, Zhiwei}, title = {Zero-Shot Dual-Lens Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {9130-9139} }
Robust Dynamic Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yu-Lun and Gao, Chen and Meuleman, Andr\'eas and Tseng, Hung-Yu and Saraf, Ayush and Kim, Changil and Chuang, Yung-Yu and Kopf, Johannes and Huang, Jia-Bin}, title = {Robust Dynamic Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {13-23} }
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Jialu and Bansal, Mohit}, title = {Improving Vision-and-Language Navigation by Generating Future-View Image Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {10803-10812} }
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shetty_2023_CVPR, author = {Shetty, Karthik and Birkhold, Annette and Jaganathan, Srikrishna and Strobel, Norbert and Kowarschik, Markus and Maier, Andreas and Egger, Bernhard}, title = {PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {574-584} }
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2023_CVPR, author = {Liu, Yuchen and Wang, Yaoming and Chen, Yabo and Dai, Wenrui and Li, Chenglin and Zou, Junni and Xiong, Hongkai}, title = {Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3510-3519} }
Interactive Segmentation of Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Goel_2023_CVPR, author = {Goel, Rahul and Sirikonda, Dhawal and Saini, Saurabh and Narayanan, P. J.}, title = {Interactive Segmentation of Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4201-4211} }
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2023_CVPR, author = {Chen, Zerui and Chen, Shizhe and Schmid, Cordelia and Laptev, Ivan}, title = {gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12890-12900} }
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kalb_2023_CVPR, author = {Kalb, Tobias and Beyerer, J\"urgen}, title = {Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {19508-19518} }
Neural Texture Synthesis With Guided Correspondence-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2023_CVPR, author = {Zhou, Yang and Chen, Kaijian and Xiao, Rongjun and Huang, Hui}, title = {Neural Texture Synthesis With Guided Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {18095-18104} }
Exploring and Utilizing Pattern Imbalance-
[pdf]
[supp]
[bibtex]@InProceedings{Mei_2023_CVPR, author = {Mei, Shibin and Zhao, Chenglong and Yuan, Shengchao and Ni, Bingbing}, title = {Exploring and Utilizing Pattern Imbalance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {7569-7578} }
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2023_CVPR, author = {Li, Tang and Qiao, Fengchun and Ma, Mengmeng and Peng, Xi}, title = {Are Data-Driven Explanations Robust Against Out-of-Distribution Data?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3821-3831} }
Top-Down Visual Attention From Analysis by Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2023_CVPR, author = {Shi, Baifeng and Darrell, Trevor and Wang, Xin}, title = {Top-Down Visual Attention From Analysis by Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {2102-2112} }
Hierarchical Fine-Grained Image Forgery Detection and Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2023_CVPR, author = {Guo, Xiao and Liu, Xiaohong and Ren, Zhiyuan and Grosz, Steven and Masi, Iacopo and Liu, Xiaoming}, title = {Hierarchical Fine-Grained Image Forgery Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {3155-3165} }
CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2023_CVPR, author = {Yan, Ming and Wang, Xin and Dai, Yudi and Shen, Siqi and Wen, Chenglu and Xu, Lan and Ma, Yuexin and Wang, Cheng}, title = {CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12977-12988} }
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lamb_2023_CVPR, author = {Lamb, Nikolas and Palmer, Cameron and Molloy, Benjamin and Banerjee, Sean and Banerjee, Natasha Kholgade}, title = {Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {4681-4691} }
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gunawan_2023_CVPR, author = {Gunawan, Agus and Kim, Soo Ye and Sim, Hyeonjun and Lee, Jae-Ho and Kim, Munchurl}, title = {Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {12460-12469} }
Interactive Cartoonization With Controllable Perceptual Factors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ahn_2023_CVPR, author = {Ahn, Namhyuk and Kwon, Patrick and Back, Jihye and Hong, Kibeom and Kim, Seungkwon}, title = {Interactive Cartoonization With Controllable Perceptual Factors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {16827-16835} }
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2023_CVPR, author = {Ma, Yanbiao and Jiao, Licheng and Liu, Fang and Yang, Shuyuan and Liu, Xu and Li, Lingling}, title = {Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2023}, pages = {15824-15835} }
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