Papers
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GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation-
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[bibtex]@InProceedings{Bailoni_2022_CVPR, author = {Bailoni, Alberto and Pape, Constantin and H\"utsch, Nathan and Wolf, Steffen and Beier, Thorsten and Kreshuk, Anna and Hamprecht, Fred A.}, title = {GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11645-11655} }
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures-
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[bibtex]@InProceedings{Niu_2022_CVPR, author = {Niu, Chengjie and Li, Manyi and Xu, Kai and Zhang, Hao}, title = {RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11779-11788} }
Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification-
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[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Yang and Zhang, Weifeng and Xiang, Chao and Zheng, Tu and Cai, Deng and He, Xiaofei}, title = {Learning To Affiliate: Mutual Centralized Learning for Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14411-14420} }
CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly-
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[bibtex]@InProceedings{Yu_2022_CVPR, author = {Yu, Fenggen and Chen, Zhiqin and Li, Manyi and Sanghi, Aditya and Shayani, Hooman and Mahdavi-Amiri, Ali and Zhang, Hao}, title = {CAPRI-Net: Learning Compact CAD Shapes With Adaptive Primitive Assembly}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11768-11778} }
Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization-
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[arXiv]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Eunji and Kim, Siwon and Lee, Jungbeom and Kim, Hyunwoo and Yoon, Sungroh}, title = {Bridging the Gap Between Classification and Localization for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14258-14267} }
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM-
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[bibtex]@InProceedings{Zhu_2022_CVPR, author = {Zhu, Zihan and Peng, Songyou and Larsson, Viktor and Xu, Weiwei and Bao, Hujun and Cui, Zhaopeng and Oswald, Martin R. and Pollefeys, Marc}, title = {NICE-SLAM: Neural Implicit Scalable Encoding for SLAM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12786-12796} }
Cross-Modal Map Learning for Vision and Language Navigation-
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[arXiv]
[bibtex]@InProceedings{Georgakis_2022_CVPR, author = {Georgakis, Georgios and Schmeckpeper, Karl and Wanchoo, Karan and Dan, Soham and Miltsakaki, Eleni and Roth, Dan and Daniilidis, Kostas}, title = {Cross-Modal Map Learning for Vision and Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15460-15470} }
Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding-
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[arXiv]
[bibtex]@InProceedings{Dong_2022_CVPR, author = {Dong, Qiaole and Cao, Chenjie and Fu, Yanwei}, title = {Incremental Transformer Structure Enhanced Image Inpainting With Masking Positional Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11358-11368} }
CRIS: CLIP-Driven Referring Image Segmentation-
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[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Zhaoqing and Lu, Yu and Li, Qiang and Tao, Xunqiang and Guo, Yandong and Gong, Mingming and Liu, Tongliang}, title = {CRIS: CLIP-Driven Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11686-11695} }
Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World-
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[arXiv]
[bibtex]@InProceedings{Zhu_2022_CVPR, author = {Zhu, Xiaopei and Hu, Zhanhao and Huang, Siyuan and Li, Jianmin and Hu, Xiaolin}, title = {Infrared Invisible Clothing: Hiding From Infrared Detectors at Multiple Angles in Real World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13317-13326} }
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation-
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[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Zitian and Nie, Xuecheng and Qu, Xiaochao and Chen, Yunpeng and Liu, Si}, title = {Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13096-13105} }
Searching the Deployable Convolution Neural Networks for GPUs-
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[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Linnan and Yu, Chenhan and Salian, Satish and Kierat, Slawomir and Migacz, Szymon and Florea, Alex Fit}, title = {Searching the Deployable Convolution Neural Networks for GPUs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12227-12236} }
DeepFake Disrupter: The Detector of DeepFake Is My Friend-
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[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Xueyu and Huang, Jiajun and Ma, Siqi and Nepal, Surya and Xu, Chang}, title = {DeepFake Disrupter: The Detector of DeepFake Is My Friend}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14920-14929} }
Long-Short Temporal Contrastive Learning of Video Transformers-
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[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Jue and Bertasius, Gedas and Tran, Du and Torresani, Lorenzo}, title = {Long-Short Temporal Contrastive Learning of Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14010-14020} }
Drop the GAN: In Defense of Patches Nearest Neighbors As Single Image Generative Models-
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[arXiv]
[bibtex]@InProceedings{Granot_2022_CVPR, author = {Granot, Niv and Feinstein, Ben and Shocher, Assaf and Bagon, Shai and Irani, Michal}, title = {Drop the GAN: In Defense of Patches Nearest Neighbors As Single Image Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13460-13469} }
SIOD: Single Instance Annotated per Category per Image for Object Detection-
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[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Hanjun and Pan, Xingjia and Yan, Ke and Tang, Fan and Zheng, Wei-Shi}, title = {SIOD: Single Instance Annotated per Category per Image for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14197-14206} }
Online Learning of Reusable Abstract Models for Object Goal Navigation-
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[arXiv]
[bibtex]@InProceedings{Campari_2022_CVPR, author = {Campari, Tommaso and Lamanna, Leonardo and Traverso, Paolo and Serafini, Luciano and Ballan, Lamberto}, title = {Online Learning of Reusable Abstract Models for Object Goal Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14870-14879} }
SimMatch: Semi-Supervised Learning With Similarity Matching-
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[arXiv]
[bibtex]@InProceedings{Zheng_2022_CVPR, author = {Zheng, Mingkai and You, Shan and Huang, Lang and Wang, Fei and Qian, Chen and Xu, Chang}, title = {SimMatch: Semi-Supervised Learning With Similarity Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14471-14481} }
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks-
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[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Wanyu and Lan, Hao and Wang, Hao and Li, Baochun}, title = {OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13729-13738} }
EfficientNeRF Efficient Neural Radiance Fields-
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[arXiv]
[bibtex]@InProceedings{Hu_2022_CVPR, author = {Hu, Tao and Liu, Shu and Chen, Yilun and Shen, Tiancheng and Jia, Jiaya}, title = {EfficientNeRF Efficient Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12902-12911} }
Quantifying Societal Bias Amplification in Image Captioning-
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[arXiv]
[bibtex]@InProceedings{Hirota_2022_CVPR, author = {Hirota, Yusuke and Nakashima, Yuta and Garcia, Noa}, title = {Quantifying Societal Bias Amplification in Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13450-13459} }
StyleSwin: Transformer-Based GAN for High-Resolution Image Generation-
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[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Bowen and Gu, Shuyang and Zhang, Bo and Bao, Jianmin and Chen, Dong and Wen, Fang and Wang, Yong and Guo, Baining}, title = {StyleSwin: Transformer-Based GAN for High-Resolution Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11304-11314} }
Reinforced Structured State-Evolution for Vision-Language Navigation-
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[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Jinyu and Gao, Chen and Meng, Erli and Zhang, Qiong and Liu, Si}, title = {Reinforced Structured State-Evolution for Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15450-15459} }
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations-
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[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Jongwan and Lee, DongJin and Na, Byunggook and Park, Seongsik and Yoon, Sungroh}, title = {E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13556-13565} }
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning-
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[arXiv]
[bibtex]@InProceedings{Fan_2022_CVPR, author = {Fan, Yue and Dai, Dengxin and Kukleva, Anna and Schiele, Bernt}, title = {CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14574-14584} }
Discovering Objects That Can Move-
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[arXiv]
[bibtex]@InProceedings{Bao_2022_CVPR, author = {Bao, Zhipeng and Tokmakov, Pavel and Jabri, Allan and Wang, Yu-Xiong and Gaidon, Adrien and Hebert, Martial}, title = {Discovering Objects That Can Move}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11789-11798} }
Self-Supervised Learning of Object Parts for Semantic Segmentation-
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[arXiv]
[bibtex]@InProceedings{Ziegler_2022_CVPR, author = {Ziegler, Adrian and Asano, Yuki M.}, title = {Self-Supervised Learning of Object Parts for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14502-14511} }
Swin Transformer V2: Scaling Up Capacity and Resolution-
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[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Ze and Hu, Han and Lin, Yutong and Yao, Zhuliang and Xie, Zhenda and Wei, Yixuan and Ning, Jia and Cao, Yue and Zhang, Zheng and Dong, Li and Wei, Furu and Guo, Baining}, title = {Swin Transformer V2: Scaling Up Capacity and Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12009-12019} }
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints-
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[bibtex]@InProceedings{Zhao_2022_CVPR, author = {Zhao, Zhendong and Chen, Xiaojun and Xuan, Yuexin and Dong, Ye and Wang, Dakui and Liang, Kaitai}, title = {DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15213-15222} }
Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization-
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[bibtex]@InProceedings{Xia_2022_CVPR, author = {Xia, Kun and Wang, Le and Zhou, Sanping and Zheng, Nanning and Tang, Wei}, title = {Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13884-13893} }
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising-
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[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Feng and Zhang, Hao and Liu, Shilong and Guo, Jian and Ni, Lionel M. and Zhang, Lei}, title = {DN-DETR: Accelerate DETR Training by Introducing Query DeNoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13619-13627} }
RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging-
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[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Heng and Cui, Zhaopeng and Liu, Shuaicheng and Tan, Ping}, title = {RAGO: Recurrent Graph Optimizer for Multiple Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15787-15796} }
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search-
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[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Minbin and Huang, Zhijian and Li, Changlin and Chen, Xin and Xu, Hang and Li, Zhenguo and Liang, Xiaodan}, title = {Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11881-11891} }
On Aliased Resizing and Surprising Subtleties in GAN Evaluation-
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[arXiv]
[bibtex]@InProceedings{Parmar_2022_CVPR, author = {Parmar, Gaurav and Zhang, Richard and Zhu, Jun-Yan}, title = {On Aliased Resizing and Surprising Subtleties in GAN Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11410-11420} }
Virtual Elastic Objects-
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[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Hsiao-yu and Tretschk, Edith and Stuyck, Tuur and Kadlecek, Petr and Kavan, Ladislav and Vouga, Etienne and Lassner, Christoph}, title = {Virtual Elastic Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15827-15837} }
DiSparse: Disentangled Sparsification for Multitask Model Compression-
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[bibtex]@InProceedings{Sun_2022_CVPR, author = {Sun, Xinglong and Hassani, Ali and Wang, Zhangyang and Huang, Gao and Shi, Humphrey}, title = {DiSparse: Disentangled Sparsification for Multitask Model Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12382-12392} }
Towards Efficient and Scalable Sharpness-Aware Minimization-
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[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Yong and Mai, Siqi and Chen, Xiangning and Hsieh, Cho-Jui and You, Yang}, title = {Towards Efficient and Scalable Sharpness-Aware Minimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12360-12370} }
Few-Shot Head Swapping in the Wild-
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[supp]
[arXiv]
[bibtex]@InProceedings{Shu_2022_CVPR, author = {Shu, Changyong and Wu, Hemao and Zhou, Hang and Liu, Jiaming and Hong, Zhibin and Ding, Changxing and Han, Junyu and Liu, Jingtuo and Ding, Errui and Wang, Jingdong}, title = {Few-Shot Head Swapping in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10789-10798} }
ICON: Implicit Clothed Humans Obtained From Normals-
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[arXiv]
[bibtex]@InProceedings{Xiu_2022_CVPR, author = {Xiu, Yuliang and Yang, Jinlong and Tzionas, Dimitrios and Black, Michael J.}, title = {ICON: Implicit Clothed Humans Obtained From Normals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13296-13306} }
Shape From Polarization for Complex Scenes in the Wild-
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[arXiv]
[bibtex]@InProceedings{Lei_2022_CVPR, author = {Lei, Chenyang and Qi, Chenyang and Xie, Jiaxin and Fan, Na and Koltun, Vladlen and Chen, Qifeng}, title = {Shape From Polarization for Complex Scenes in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12632-12641} }
Glass Segmentation Using Intensity and Spectral Polarization Cues-
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[bibtex]@InProceedings{Mei_2022_CVPR, author = {Mei, Haiyang and Dong, Bo and Dong, Wen and Yang, Jiaxi and Baek, Seung-Hwan and Heide, Felix and Peers, Pieter and Wei, Xiaopeng and Yang, Xin}, title = {Glass Segmentation Using Intensity and Spectral Polarization Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12622-12631} }
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment-
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[arXiv]
[bibtex]@InProceedings{Xiao_2022_CVPR, author = {Xiao, Jiayu and Li, Liang and Wang, Chaofei and Zha, Zheng-Jun and Huang, Qingming}, title = {Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11204-11213} }
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection-
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[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2022_CVPR, author = {Xie, Chenxi and Xia, Changqun and Ma, Mingcan and Zhao, Zhirui and Chen, Xiaowu and Li, Jia}, title = {Pyramid Grafting Network for One-Stage High Resolution Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11717-11726} }
Enhancing Adversarial Training With Second-Order Statistics of Weights-
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[arXiv]
[bibtex]@InProceedings{Jin_2022_CVPR, author = {Jin, Gaojie and Yi, Xinping and Huang, Wei and Schewe, Sven and Huang, Xiaowei}, title = {Enhancing Adversarial Training With Second-Order Statistics of Weights}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15273-15283} }
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo-
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[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chaoning and Zhang, Kang and Pham, Trung X. and Niu, Axi and Qiao, Zhinan and Yoo, Chang D. and Kweon, In So}, title = {Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14441-14450} }
UniCoRN: A Unified Conditional Image Repainting Network-
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[bibtex]@InProceedings{Sun_2022_CVPR, author = {Sun, Jimeng and Weng, Shuchen and Chang, Zheng and Li, Si and Shi, Boxin}, title = {UniCoRN: A Unified Conditional Image Repainting Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11369-11378} }
Forecasting Characteristic 3D Poses of Human Actions-
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[supp]
[arXiv]
[bibtex]@InProceedings{Diller_2022_CVPR, author = {Diller, Christian and Funkhouser, Thomas and Dai, Angela}, title = {Forecasting Characteristic 3D Poses of Human Actions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15914-15923} }
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection-
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[arXiv]
[bibtex]@InProceedings{Ristea_2022_CVPR, author = {Ristea, Nicolae-C\u{a}t\u{a}lin and Madan, Neelu and Ionescu, Radu Tudor and Nasrollahi, Kamal and Khan, Fahad Shahbaz and Moeslund, Thomas B. and Shah, Mubarak}, title = {Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13576-13586} }
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients-
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[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Kaidong and Zhang, Ziming and Zhong, Cuncong and Wang, Guanghui}, title = {Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15294-15304} }
Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input-
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[arXiv]
[bibtex]@InProceedings{Byun_2022_CVPR, author = {Byun, Junyoung and Cho, Seungju and Kwon, Myung-Joon and Kim, Hee-Seon and Kim, Changick}, title = {Improving the Transferability of Targeted Adversarial Examples Through Object-Based Diverse Input}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15244-15253} }
Splicing ViT Features for Semantic Appearance Transfer-
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[bibtex]@InProceedings{Tumanyan_2022_CVPR, author = {Tumanyan, Narek and Bar-Tal, Omer and Bagon, Shai and Dekel, Tali}, title = {Splicing ViT Features for Semantic Appearance Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10748-10757} }
Putting People in Their Place: Monocular Regression of 3D People in Depth-
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[supp]
[arXiv]
[bibtex]@InProceedings{Sun_2022_CVPR, author = {Sun, Yu and Liu, Wu and Bao, Qian and Fu, Yili and Mei, Tao and Black, Michael J.}, title = {Putting People in Their Place: Monocular Regression of 3D People in Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13243-13252} }
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis-
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[arXiv]
[bibtex]@InProceedings{Ren_2022_CVPR, author = {Ren, Yurui and Fan, Xiaoqing and Li, Ge and Liu, Shan and Li, Thomas H.}, title = {Neural Texture Extraction and Distribution for Controllable Person Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13535-13544} }
Dual-Path Image Inpainting With Auxiliary GAN Inversion-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Wentao and Niu, Li and Zhang, Jianfu and Yang, Xue and Zhang, Liqing}, title = {Dual-Path Image Inpainting With Auxiliary GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11421-11430} }
Generative Flows With Invertible Attentions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sukthanker_2022_CVPR, author = {Sukthanker, Rhea Sanjay and Huang, Zhiwu and Kumar, Suryansh and Timofte, Radu and Van Gool, Luc}, title = {Generative Flows With Invertible Attentions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11234-11243} }
Estimating Fine-Grained Noise Model via Contrastive Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zou_2022_CVPR, author = {Zou, Yunhao and Fu, Ying}, title = {Estimating Fine-Grained Noise Model via Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12682-12691} }
Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2022_CVPR, author = {Ye, Jiabo and Tian, Junfeng and Yan, Ming and Yang, Xiaoshan and Wang, Xuwu and Zhang, Ji and He, Liang and Lin, Xin}, title = {Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15502-15512} }
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Aung_2022_CVPR, author = {Aung, Aye Phyu Phyu and Wang, Xinrun and Yu, Runsheng and An, Bo and Jayavelu, Senthilnath and Li, Xiaoli}, title = {DO-GAN: A Double Oracle Framework for Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11275-11284} }
Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2022_CVPR, author = {Yuan, Liangzhe and Qian, Rui and Cui, Yin and Gong, Boqing and Schroff, Florian and Yang, Ming-Hsuan and Adam, Hartwig and Liu, Ting}, title = {Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13977-13986} }
APES: Articulated Part Extraction From Sprite Sheets-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Zhan and Fisher, Matthew and Zhou, Yang and Aneja, Deepali and Dudhat, Rushikesh and Yi, Li and Kalogerakis, Evangelos}, title = {APES: Articulated Part Extraction From Sprite Sheets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11635-11644} }
Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2022_CVPR, author = {Jiang, Xiaoke and Li, Donghai and Chen, Hao and Zheng, Ye and Zhao, Rui and Wu, Liwei}, title = {Uni6D: A Unified CNN Framework Without Projection Breakdown for 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11174-11184} }
SPAMs: Structured Implicit Parametric Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Palafox_2022_CVPR, author = {Palafox, Pablo and Sarafianos, Nikolaos and Tung, Tony and Dai, Angela}, title = {SPAMs: Structured Implicit Parametric Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12851-12860} }
DETReg: Unsupervised Pretraining With Region Priors for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bar_2022_CVPR, author = {Bar, Amir and Wang, Xin and Kantorov, Vadim and Reed, Colorado J. and Herzig, Roei and Chechik, Gal and Rohrbach, Anna and Darrell, Trevor and Globerson, Amir}, title = {DETReg: Unsupervised Pretraining With Region Priors for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14605-14615} }
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Ye and Cheng, Yaya and Gao, Lianli and Liu, Xianglong and Zhang, Qilong and Song, Jingkuan}, title = {Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15105-15114} }
Salvage of Supervision in Weakly Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sui_2022_CVPR, author = {Sui, Lin and Zhang, Chen-Lin and Wu, Jianxin}, title = {Salvage of Supervision in Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14227-14236} }
Cross-View Transformers for Real-Time Map-View Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zhou_2022_CVPR, author = {Zhou, Brady and Kr\"ahenb\"uhl, Philipp}, title = {Cross-View Transformers for Real-Time Map-View Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13760-13769} }
Controllable Dynamic Multi-Task Architectures-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Raychaudhuri_2022_CVPR, author = {Raychaudhuri, Dripta S. and Suh, Yumin and Schulter, Samuel and Yu, Xiang and Faraki, Masoud and Roy-Chowdhury, Amit K. and Chandraker, Manmohan}, title = {Controllable Dynamic Multi-Task Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10955-10964} }
Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Elkerdawy_2022_CVPR, author = {Elkerdawy, Sara and Elhoushi, Mostafa and Zhang, Hong and Ray, Nilanjan}, title = {Fire Together Wire Together: A Dynamic Pruning Approach With Self-Supervised Mask Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12454-12463} }
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection-
[pdf]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Yifan and Zhang, Wenbo and Wang, Lijun and Liu, Ting and Lu, Huchuan}, title = {Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11727-11736} }
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Linfeng and Chen, Xin and Tu, Xiaobing and Wan, Pengfei and Xu, Ning and Ma, Kaisheng}, title = {Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12464-12474} }
Improving Adversarial Transferability via Neuron Attribution-Based Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jianping and Wu, Weibin and Huang, Jen-tse and Huang, Yizhan and Wang, Wenxuan and Su, Yuxin and Lyu, Michael R.}, title = {Improving Adversarial Transferability via Neuron Attribution-Based Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14993-15002} }
Better Trigger Inversion Optimization in Backdoor Scanning-
[pdf]
[supp]
[bibtex]@InProceedings{Tao_2022_CVPR, author = {Tao, Guanhong and Shen, Guangyu and Liu, Yingqi and An, Shengwei and Xu, Qiuling and Ma, Shiqing and Li, Pan and Zhang, Xiangyu}, title = {Better Trigger Inversion Optimization in Backdoor Scanning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13368-13378} }
Distribution Consistent Neural Architecture Search-
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[bibtex]@InProceedings{Pan_2022_CVPR, author = {Pan, Junyi and Sun, Chong and Zhou, Yizhou and Zhang, Ying and Li, Chen}, title = {Distribution Consistent Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10884-10893} }
FreeSOLO: Learning To Segment Objects Without Annotations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Xinlong and Yu, Zhiding and De Mello, Shalini and Kautz, Jan and Anandkumar, Anima and Shen, Chunhua and Alvarez, Jose M.}, title = {FreeSOLO: Learning To Segment Objects Without Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14176-14186} }
Enhancing Adversarial Robustness for Deep Metric Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2022_CVPR, author = {Zhou, Mo and Patel, Vishal M.}, title = {Enhancing Adversarial Robustness for Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15325-15334} }
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gu_2022_CVPR, author = {Gu, Jiaqi and Kwon, Hyoukjun and Wang, Dilin and Ye, Wei and Li, Meng and Chen, Yu-Hsin and Lai, Liangzhen and Chandra, Vikas and Pan, David Z.}, title = {Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12094-12103} }
Lite-MDETR: A Lightweight Multi-Modal Detector-
[pdf]
[bibtex]@InProceedings{Lou_2022_CVPR, author = {Lou, Qian and Hsu, Yen-Chang and Uzkent, Burak and Hua, Ting and Shen, Yilin and Jin, Hongxia}, title = {Lite-MDETR: A Lightweight Multi-Modal Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12206-12215} }
Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Soucek_2022_CVPR, author = {Sou\v{c}ek, Tom\'a\v{s} and Alayrac, Jean-Baptiste and Miech, Antoine and Laptev, Ivan and Sivic, Josef}, title = {Look for the Change: Learning Object States and State-Modifying Actions From Untrimmed Web Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13956-13966} }
Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Muli and Zhu, Yuehua and Yu, Jiaping and Wu, Aming and Deng, Cheng}, title = {Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14268-14277} }
Programmatic Concept Learning for Human Motion Description and Synthesis-
[pdf]
[supp]
[bibtex]@InProceedings{Kulal_2022_CVPR, author = {Kulal, Sumith and Mao, Jiayuan and Aiken, Alex and Wu, Jiajun}, title = {Programmatic Concept Learning for Human Motion Description and Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13843-13852} }
Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Garau_2022_CVPR, author = {Garau, Nicola and Bisagno, Niccol\`o and Sambugaro, Zeno and Conci, Nicola}, title = {Interpretable Part-Whole Hierarchies and Conceptual-Semantic Relationships in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13689-13698} }
Less Is More: Generating Grounded Navigation Instructions From Landmarks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Su and Montgomery, Ceslee and Orbay, Jordi and Birodkar, Vighnesh and Faust, Aleksandra and Gur, Izzeddin and Jaques, Natasha and Waters, Austin and Baldridge, Jason and Anderson, Peter}, title = {Less Is More: Generating Grounded Navigation Instructions From Landmarks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15428-15438} }
CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Ke and Zhuang, Xiahai}, title = {CycleMix: A Holistic Strategy for Medical Image Segmentation From Scribble Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11656-11665} }
Image Based Reconstruction of Liquids From 2D Surface Detections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Richter_2022_CVPR, author = {Richter, Florian and Orosco, Ryan K. and Yip, Michael C.}, title = {Image Based Reconstruction of Liquids From 2D Surface Detections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13811-13820} }
Contextual Outpainting With Object-Level Contrastive Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Jiacheng and Chen, Chang and Xiong, Zhiwei}, title = {Contextual Outpainting With Object-Level Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11451-11460} }
Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Sheng and Nie, Xiaohan and Hamid, Raffay}, title = {Depth-Guided Sparse Structure-From-Motion for Movies and TV Shows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15980-15989} }
When Does Contrastive Visual Representation Learning Work?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cole_2022_CVPR, author = {Cole, Elijah and Yang, Xuan and Wilber, Kimberly and Mac Aodha, Oisin and Belongie, Serge}, title = {When Does Contrastive Visual Representation Learning Work?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14755-14764} }
One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2022_CVPR, author = {Song, Chan Hee and Kil, Jihyung and Pan, Tai-Yu and Sadler, Brian M. and Chao, Wei-Lun and Su, Yu}, title = {One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15482-15491} }
Scene Consistency Representation Learning for Video Scene Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2022_CVPR, author = {Wu, Haoqian and Chen, Keyu and Luo, Yanan and Qiao, Ruizhi and Ren, Bo and Liu, Haozhe and Xie, Weicheng and Shen, Linlin}, title = {Scene Consistency Representation Learning for Video Scene Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14021-14030} }
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pang_2022_CVPR, author = {Pang, Tianyu and Zhang, Huishuai and He, Di and Dong, Yinpeng and Su, Hang and Chen, Wei and Zhu, Jun and Liu, Tie-Yan}, title = {Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15223-15233} }
How Well Do Sparse ImageNet Models Transfer?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Iofinova_2022_CVPR, author = {Iofinova, Eugenia and Peste, Alexandra and Kurtz, Mark and Alistarh, Dan}, title = {How Well Do Sparse ImageNet Models Transfer?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12266-12276} }
REX: Reasoning-Aware and Grounded Explanation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Shi and Zhao, Qi}, title = {REX: Reasoning-Aware and Grounded Explanation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15586-15595} }
Dynamic Dual-Output Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Benny_2022_CVPR, author = {Benny, Yaniv and Wolf, Lior}, title = {Dynamic Dual-Output Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11482-11491} }
JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Willis_2022_CVPR, author = {Willis, Karl D.D. and Jayaraman, Pradeep Kumar and Chu, Hang and Tian, Yunsheng and Li, Yifei and Grandi, Daniele and Sanghi, Aditya and Tran, Linh and Lambourne, Joseph G. and Solar-Lezama, Armando and Matusik, Wojciech}, title = {JoinABLe: Learning Bottom-Up Assembly of Parametric CAD Joints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15849-15860} }
AEGNN: Asynchronous Event-Based Graph Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Schaefer_2022_CVPR, author = {Schaefer, Simon and Gehrig, Daniel and Scaramuzza, Davide}, title = {AEGNN: Asynchronous Event-Based Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12371-12381} }
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Humayun_2022_CVPR, author = {Humayun, Ahmed Imtiaz and Balestriero, Randall and Baraniuk, Richard}, title = {Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10641-10650} }
Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Yuan-kui and Lien, Yun-Hsuan and Wang, Yu-Shuen}, title = {Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11244-11253} }
MAT: Mask-Aware Transformer for Large Hole Image Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Wenbo and Lin, Zhe and Zhou, Kun and Qi, Lu and Wang, Yi and Jia, Jiaya}, title = {MAT: Mask-Aware Transformer for Large Hole Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10758-10768} }
Uncertainty-Aware Deep Multi-View Photometric Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kaya_2022_CVPR, author = {Kaya, Berk and Kumar, Suryansh and Oliveira, Carlos and Ferrari, Vittorio and Van Gool, Luc}, title = {Uncertainty-Aware Deep Multi-View Photometric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12601-12611} }
Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Zizheng and Jin, Xin and Zheng, Kecheng and Zhao, Feng}, title = {Unleashing Potential of Unsupervised Pre-Training With Intra-Identity Regularization for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14298-14307} }
MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2022_CVPR, author = {Fang, Jiemin and Xie, Lingxi and Wang, Xinggang and Zhang, Xiaopeng and Liu, Wenyu and Tian, Qi}, title = {MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12063-12072} }
Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning-
[pdf]
[bibtex]@InProceedings{Meng_2022_CVPR, author = {Meng, Jian and Yang, Li and Shin, Jinwoo and Fan, Deliang and Seo, Jae-sun}, title = {Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12257-12265} }
Universal Photometric Stereo Network Using Global Lighting Contexts-
[pdf]
[supp]
[bibtex]@InProceedings{Ikehata_2022_CVPR, author = {Ikehata, Satoshi}, title = {Universal Photometric Stereo Network Using Global Lighting Contexts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12591-12600} }
Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhan_2022_CVPR, author = {Zhan, Yu and Li, Fenghai and Weng, Renliang and Choi, Wongun}, title = {Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13116-13125} }
ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization-
[pdf]
[supp]
[bibtex]@InProceedings{He_2022_CVPR, author = {He, Bo and Yang, Xitong and Kang, Le and Cheng, Zhiyu and Zhou, Xin and Shrivastava, Abhinav}, title = {ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13925-13935} }
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2022_CVPR, author = {Ding, Xiaohan and Zhang, Xiangyu and Han, Jungong and Ding, Guiguang}, title = {Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11963-11975} }
End-to-End Multi-Person Pose Estimation With Transformers-
[pdf]
[bibtex]@InProceedings{Shi_2022_CVPR, author = {Shi, Dahu and Wei, Xing and Li, Liangqi and Ren, Ye and Tan, Wenming}, title = {End-to-End Multi-Person Pose Estimation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11069-11078} }
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Dongli and Deng, Jinhong and Li, Wen}, title = {Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14187-14196} }
3DeformRS: Certifying Spatial Deformations on Point Clouds-
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[supp]
[bibtex]@InProceedings{S._2022_CVPR, author = {S., Gabriel P\'erez and P\'erez, Juan C. and Alfarra, Motasem and Giancola, Silvio and Ghanem, Bernard}, title = {3DeformRS: Certifying Spatial Deformations on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15169-15179} }
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Chenhongyi and Huang, Zehao and Wang, Naiyan}, title = {QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13668-13677} }
BEHAVE: Dataset and Method for Tracking Human Object Interactions-
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[supp]
[arXiv]
[bibtex]@InProceedings{Bhatnagar_2022_CVPR, author = {Bhatnagar, Bharat Lal and Xie, Xianghui and Petrov, Ilya A. and Sminchisescu, Cristian and Theobalt, Christian and Pons-Moll, Gerard}, title = {BEHAVE: Dataset and Method for Tracking Human Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15935-15946} }
Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Jian and Liu, Lingjie and Xu, Weipeng and Sarkar, Kripasindhu and Luvizon, Diogo and Theobalt, Christian}, title = {Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13157-13166} }
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search-
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[bibtex]@InProceedings{Xie_2022_CVPR, author = {Xie, Pengtao and Du, Xuefeng}, title = {Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11922-11932} }
HyperInverter: Improving StyleGAN Inversion via Hypernetwork-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dinh_2022_CVPR, author = {Dinh, Tan M. and Tran, Anh Tuan and Nguyen, Rang and Hua, Binh-Son}, title = {HyperInverter: Improving StyleGAN Inversion via Hypernetwork}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11389-11398} }
Dataset Distillation by Matching Training Trajectories-
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[arXiv]
[bibtex]@InProceedings{Cazenavette_2022_CVPR, author = {Cazenavette, George and Wang, Tongzhou and Torralba, Antonio and Efros, Alexei A. and Zhu, Jun-Yan}, title = {Dataset Distillation by Matching Training Trajectories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10718-10727} }
Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2022_CVPR, author = {Hu, Minghui and Wang, Yujie and Cham, Tat-Jen and Yang, Jianfei and Suganthan, P.N.}, title = {Global Context With Discrete Diffusion in Vector Quantised Modelling for Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11502-11511} }
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Merrill_2022_CVPR, author = {Merrill, Nathaniel and Guo, Yuliang and Zuo, Xingxing and Huang, Xinyu and Leutenegger, Stefan and Peng, Xi and Ren, Liu and Huang, Guoquan}, title = {Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14901-14910} }
Towards Multimodal Depth Estimation From Light Fields-
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[supp]
[arXiv]
[bibtex]@InProceedings{Leistner_2022_CVPR, author = {Leistner, Titus and Mackowiak, Radek and Ardizzone, Lynton and K\"othe, Ullrich and Rother, Carsten}, title = {Towards Multimodal Depth Estimation From Light Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12953-12961} }
Learning To Recognize Procedural Activities With Distant Supervision-
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[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Xudong and Petroni, Fabio and Bertasius, Gedas and Rohrbach, Marcus and Chang, Shih-Fu and Torresani, Lorenzo}, title = {Learning To Recognize Procedural Activities With Distant Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13853-13863} }
Weakly Supervised Rotation-Invariant Aerial Object Detection Network-
[pdf]
[bibtex]@InProceedings{Feng_2022_CVPR, author = {Feng, Xiaoxu and Yao, Xiwen and Cheng, Gong and Han, Junwei}, title = {Weakly Supervised Rotation-Invariant Aerial Object Detection Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14146-14155} }
Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2022_CVPR, author = {Zhao, Wangbo and Wang, Kai and Chu, Xiangxiang and Xue, Fuzhao and Wang, Xinchao and You, Yang}, title = {Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11737-11746} }
Deformable Video Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Jue and Torresani, Lorenzo}, title = {Deformable Video Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14053-14062} }
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Shaohan and Shi, Yunpeng and Lerman, Gilad}, title = {Fast, Accurate and Memory-Efficient Partial Permutation Synchronization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15735-15743} }
ScaleNet: A Shallow Architecture for Scale Estimation-
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[supp]
[bibtex]@InProceedings{Barroso-Laguna_2022_CVPR, author = {Barroso-Laguna, Axel and Tian, Yurun and Mikolajczyk, Krystian}, title = {ScaleNet: A Shallow Architecture for Scale Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12808-12818} }
Bounded Adversarial Attack on Deep Content Features-
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[supp]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Qiuling and Tao, Guanhong and Zhang, Xiangyu}, title = {Bounded Adversarial Attack on Deep Content Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15203-15212} }
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chikontwe_2022_CVPR, author = {Chikontwe, Philip and Kim, Soopil and Park, Sang Hyun}, title = {CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14554-14563} }
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations-
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[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2022_CVPR, author = {Peng, Zirui and Li, Shaofeng and Chen, Guoxing and Zhang, Cheng and Zhu, Haojin and Xue, Minhui}, title = {Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13430-13439} }
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Jianan and Lu, Guansong and Xu, Hang and Li, Zhenguo and Xu, Chunjing and Fu, Yanwei}, title = {ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10707-10717} }
Robust Image Forgery Detection Over Online Social Network Shared Images-
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[supp]
[bibtex]@InProceedings{Wu_2022_CVPR, author = {Wu, Haiwei and Zhou, Jiantao and Tian, Jinyu and Liu, Jun}, title = {Robust Image Forgery Detection Over Online Social Network Shared Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13440-13449} }
Text2Mesh: Text-Driven Neural Stylization for Meshes-
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[supp]
[bibtex]@InProceedings{Michel_2022_CVPR, author = {Michel, Oscar and Bar-On, Roi and Liu, Richard and Benaim, Sagie and Hanocka, Rana}, title = {Text2Mesh: Text-Driven Neural Stylization for Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13492-13502} }
FWD: Real-Time Novel View Synthesis With Forward Warping and Depth-
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[supp]
[bibtex]@InProceedings{Cao_2022_CVPR, author = {Cao, Ang and Rockwell, Chris and Johnson, Justin}, title = {FWD: Real-Time Novel View Synthesis With Forward Warping and Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15713-15724} }
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image-
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[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Zhang and Tian, Zhiqiang and Zhu, Jihua and Li, Ce and Du, Shaoyi}, title = {C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11676-11685} }
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection-
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[supp]
[arXiv]
[bibtex]@InProceedings{Haliassos_2022_CVPR, author = {Haliassos, Alexandros and Mira, Rodrigo and Petridis, Stavros and Pantic, Maja}, title = {Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14950-14962} }
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Miao and Pan, Shirui and Chang, Xiaojun and Su, Steven and Hu, Jilin and Haffari, Gholamreza (Reza) and Yang, Bin}, title = {BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11871-11880} }
Weakly Supervised Object Localization As Domain Adaption-
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[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2022_CVPR, author = {Zhu, Lei and She, Qi and Chen, Qian and You, Yunfei and Wang, Boyu and Lu, Yanye}, title = {Weakly Supervised Object Localization As Domain Adaption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14637-14646} }
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Jie and Bao, Yanqi and Xie, Guo-Sen and Xiong, Huan and Sonke, Jan-Jakob and Gavves, Efstratios}, title = {Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11553-11562} }
Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error-
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[supp]
[bibtex]@InProceedings{Jeon_2022_CVPR, author = {Jeon, Yongkweon and Lee, Chungman and Cho, Eulrang and Ro, Yeonju}, title = {Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12329-12338} }
MatteFormer: Transformer-Based Image Matting via Prior-Tokens-
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[supp]
[arXiv]
[bibtex]@InProceedings{Park_2022_CVPR, author = {Park, GyuTae and Son, SungJoon and Yoo, JaeYoung and Kim, SeHo and Kwak, Nojun}, title = {MatteFormer: Transformer-Based Image Matting via Prior-Tokens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11696-11706} }
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes-
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[supp]
[bibtex]@InProceedings{Bao_2022_CVPR, author = {Bao, Jun and Liu, Buyu and Yu, Jun}, title = {ESCNet: Gaze Target Detection With the Understanding of 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14126-14135} }
Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Uy_2022_CVPR, author = {Uy, Mikaela Angelina and Chang, Yen-Yu and Sung, Minhyuk and Goel, Purvi and Lambourne, Joseph G. and Birdal, Tolga and Guibas, Leonidas J.}, title = {Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11850-11860} }
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Wenhao and Liu, Hong and Tang, Hao and Wang, Pichao and Van Gool, Luc}, title = {MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13147-13156} }
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Tianhan and Fujita, Yasuhiro and Matsumoto, Eiichi}, title = {Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15883-15892} }
Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lou_2022_CVPR, author = {Lou, Chao and Han, Wenjuan and Lin, Yuhuan and Zheng, Zilong}, title = {Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs With Language Structures via Dependency Relationships}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15607-15616} }
Query and Attention Augmentation for Knowledge-Based Explainable Reasoning-
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[supp]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yifeng and Jiang, Ming and Zhao, Qi}, title = {Query and Attention Augmentation for Knowledge-Based Explainable Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15576-15585} }
Interactron: Embodied Adaptive Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kotar_2022_CVPR, author = {Kotar, Klemen and Mottaghi, Roozbeh}, title = {Interactron: Embodied Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14860-14869} }
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2022_CVPR, author = {Wu, Chao-Yuan and Li, Yanghao and Mangalam, Karttikeya and Fan, Haoqi and Xiong, Bo and Malik, Jitendra and Feichtenhofer, Christoph}, title = {MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13587-13597} }
Multidimensional Belief Quantification for Label-Efficient Meta-Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pandey_2022_CVPR, author = {Pandey, Deep Shankar and Yu, Qi}, title = {Multidimensional Belief Quantification for Label-Efficient Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14391-14400} }
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks-
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[bibtex]@InProceedings{Yin_2022_CVPR, author = {Yin, Miao and Sui, Yang and Yang, Wanzhao and Zang, Xiao and Gong, Yu and Yuan, Bo}, title = {HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12299-12308} }
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hong_2022_CVPR, author = {Hong, Yicong and Wang, Zun and Wu, Qi and Gould, Stephen}, title = {Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15439-15449} }
Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Tianyang and Wen, Xin and Liu, Yu-Shen and Su, Hua and Han, Zhizhong}, title = {Learning Deep Implicit Functions for 3D Shapes With Dynamic Code Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12840-12850} }
Reversible Vision Transformers-
[pdf]
[supp]
[bibtex]@InProceedings{Mangalam_2022_CVPR, author = {Mangalam, Karttikeya and Fan, Haoqi and Li, Yanghao and Wu, Chao-Yuan and Xiong, Bo and Feichtenhofer, Christoph and Malik, Jitendra}, title = {Reversible Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10830-10840} }
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2022_CVPR, author = {Hu, Shengshan and Liu, Xiaogeng and Zhang, Yechao and Li, Minghui and Zhang, Leo Yu and Jin, Hai and Wu, Libing}, title = {Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15014-15023} }
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Zhenguang and Feng, Runyang and Chen, Haoming and Wu, Shuang and Gao, Yixing and Gao, Yunjun and Wang, Xiang}, title = {Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11006-11016} }
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing-
[pdf]
[bibtex]@InProceedings{Parmar_2022_CVPR, author = {Parmar, Gaurav and Li, Yijun and Lu, Jingwan and Zhang, Richard and Zhu, Jun-Yan and Singh, Krishna Kumar}, title = {Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11399-11409} }
Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Yangtao and Shen, Xi and Hu, Shell Xu and Yuan, Yuan and Crowley, James L. and Vaufreydaz, Dominique}, title = {Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14543-14553} }
Towards Robust Adaptive Object Detection Under Noisy Annotations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Xinyu and Li, Wuyang and Yang, Qiushi and Li, Baopu and Yuan, Yixuan}, title = {Towards Robust Adaptive Object Detection Under Noisy Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14207-14216} }
Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ma_2022_CVPR, author = {Ma, Zongyang and Luo, Guan and Gao, Jin and Li, Liang and Chen, Yuxin and Wang, Shaoru and Zhang, Congxuan and Hu, Weiming}, title = {Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14074-14083} }
COAP: Compositional Articulated Occupancy of People-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mihajlovic_2022_CVPR, author = {Mihajlovic, Marko and Saito, Shunsuke and Bansal, Aayush and Zollh\"ofer, Michael and Tang, Siyu}, title = {COAP: Compositional Articulated Occupancy of People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13201-13210} }
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Hanqing and Liang, Wei and Shen, Jianbing and Van Gool, Luc and Wang, Wenguan}, title = {Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15471-15481} }
Motion-Adjustable Neural Implicit Video Representation-
[pdf]
[bibtex]@InProceedings{Mai_2022_CVPR, author = {Mai, Long and Liu, Feng}, title = {Motion-Adjustable Neural Implicit Video Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10738-10747} }
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization-
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[supp]
[arXiv]
[bibtex]@InProceedings{Mirza_2022_CVPR, author = {Mirza, M. Jehanzeb and Micorek, Jakub and Possegger, Horst and Bischof, Horst}, title = {The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14765-14775} }
Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Du_2022_CVPR, author = {Du, Yu and Wei, Fangyun and Zhang, Zihe and Shi, Miaojing and Gao, Yue and Li, Guoqi}, title = {Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14084-14093} }
General Incremental Learning With Domain-Aware Categorical Representations-
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[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2022_CVPR, author = {Xie, Jiangwei and Yan, Shipeng and He, Xuming}, title = {General Incremental Learning With Domain-Aware Categorical Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14351-14360} }
ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Isabella and Yang, Edward and Tao, Jianyu and Chen, Rui and Zhang, Xiaoshuai and Ran, Qing and Liu, Zhu and Su, Hao}, title = {ActiveZero: Mixed Domain Learning for Active Stereovision With Zero Annotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13033-13042} }
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Xianing and Cao, Qiong and Zhong, Yujie and Zhang, Jing and Gao, Shenghua and Tao, Dacheng}, title = {DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12052-12062} }
ContrastMask: Contrastive Learning To Segment Every Thing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Xuehui and Zhao, Kai and Zhang, Ruixin and Ding, Shouhong and Wang, Yan and Shen, Wei}, title = {ContrastMask: Contrastive Learning To Segment Every Thing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11604-11613} }
Rep-Net: Efficient On-Device Learning via Feature Reprogramming-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Li and Rakin, Adnan Siraj and Fan, Deliang}, title = {Rep-Net: Efficient On-Device Learning via Feature Reprogramming}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12277-12286} }
Implicit Motion Handling for Video Camouflaged Object Detection-
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[supp]
[arXiv]
[bibtex]@InProceedings{Cheng_2022_CVPR, author = {Cheng, Xuelian and Xiong, Huan and Fan, Deng-Ping and Zhong, Yiran and Harandi, Mehrtash and Drummond, Tom and Ge, Zongyuan}, title = {Implicit Motion Handling for Video Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13864-13873} }
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Mouxing and Huang, Zhenyu and Hu, Peng and Li, Taihao and Lv, Jiancheng and Peng, Xi}, title = {Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14308-14317} }
MetaFormer Is Actually What You Need for Vision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2022_CVPR, author = {Yu, Weihao and Luo, Mi and Zhou, Pan and Si, Chenyang and Zhou, Yichen and Wang, Xinchao and Feng, Jiashi and Yan, Shuicheng}, title = {MetaFormer Is Actually What You Need for Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10819-10829} }
Knowledge Distillation via the Target-Aware Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Sihao and Xie, Hongwei and Wang, Bing and Yu, Kaicheng and Chang, Xiaojun and Liang, Xiaodan and Wang, Gang}, title = {Knowledge Distillation via the Target-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10915-10924} }
Recurring the Transformer for Video Action Recognition-
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[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Jiewen and Dong, Xingbo and Liu, Liujun and Zhang, Chao and Shen, Jiajun and Yu, Dahai}, title = {Recurring the Transformer for Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14063-14073} }
Subspace Adversarial Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Tao and Wu, Yingwen and Chen, Sizhe and Fang, Kun and Huang, Xiaolin}, title = {Subspace Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13409-13418} }
Background Activation Suppression for Weakly Supervised Object Localization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2022_CVPR, author = {Wu, Pingyu and Zhai, Wei and Cao, Yang}, title = {Background Activation Suppression for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14248-14257} }
Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Rozumnyi_2022_CVPR, author = {Rozumnyi, Denys and Oswald, Martin R. and Ferrari, Vittorio and Pollefeys, Marc}, title = {Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15990-15999} }
Hallucinated Neural Radiance Fields in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Xingyu and Zhang, Qi and Li, Xiaoyu and Chen, Yue and Feng, Ying and Wang, Xuan and Wang, Jue}, title = {Hallucinated Neural Radiance Fields in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12943-12952} }
Backdoor Attacks on Self-Supervised Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saha_2022_CVPR, author = {Saha, Aniruddha and Tejankar, Ajinkya and Koohpayegani, Soroush Abbasi and Pirsiavash, Hamed}, title = {Backdoor Attacks on Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13337-13346} }
Multimodal Token Fusion for Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Yikai and Chen, Xinghao and Cao, Lele and Huang, Wenbing and Sun, Fuchun and Wang, Yunhe}, title = {Multimodal Token Fusion for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12186-12195} }
FLAVA: A Foundational Language and Vision Alignment Model-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Singh_2022_CVPR, author = {Singh, Amanpreet and Hu, Ronghang and Goswami, Vedanuj and Couairon, Guillaume and Galuba, Wojciech and Rohrbach, Marcus and Kiela, Douwe}, title = {FLAVA: A Foundational Language and Vision Alignment Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15638-15650} }
OCSampler: Compressing Videos to One Clip With Single-Step Sampling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Jintao and Duan, Haodong and Chen, Kai and Lin, Dahua and Wang, Limin}, title = {OCSampler: Compressing Videos to One Clip With Single-Step Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13894-13903} }
Grounded Language-Image Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Liunian Harold and Zhang, Pengchuan and Zhang, Haotian and Yang, Jianwei and Li, Chunyuan and Zhong, Yiwu and Wang, Lijuan and Yuan, Lu and Zhang, Lei and Hwang, Jenq-Neng and Chang, Kai-Wei and Gao, Jianfeng}, title = {Grounded Language-Image Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10965-10975} }
PatchFormer: An Efficient Point Transformer With Patch Attention-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Cheng and Wan, Haocheng and Shen, Xinyi and Wu, Zizhao}, title = {PatchFormer: An Efficient Point Transformer With Patch Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11799-11808} }
Label Matching Semi-Supervised Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Binbin and Chen, Weijie and Yang, Shicai and Xuan, Yunyi and Song, Jie and Xie, Di and Pu, Shiliang and Song, Mingli and Zhuang, Yueting}, title = {Label Matching Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14381-14390} }
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Cheng-Kun and Wu, Ji-Jia and Chen, Kai-Syun and Chuang, Yung-Yu and Lin, Yen-Yu}, title = {An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11830-11839} }
Fast Light-Weight Near-Field Photometric Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lichy_2022_CVPR, author = {Lichy, Daniel and Sengupta, Soumyadip and Jacobs, David W.}, title = {Fast Light-Weight Near-Field Photometric Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12612-12621} }
Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching-
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[supp]
[bibtex]@InProceedings{Kang_2022_CVPR, author = {Kang, Donghun and Jang, Hyeonjoong and Lee, Jungeon and Kyung, Chong-Min and Kim, Min H.}, title = {Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12972-12980} }
High-Resolution Image Synthesis With Latent Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rombach_2022_CVPR, author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn}, title = {High-Resolution Image Synthesis With Latent Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10684-10695} }
StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Or-El_2022_CVPR, author = {Or-El, Roy and Luo, Xuan and Shan, Mengyi and Shechtman, Eli and Park, Jeong Joon and Kemelmacher-Shlizerman, Ira}, title = {StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13503-13513} }
GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2022_CVPR, author = {Yuan, Ye and Iqbal, Umar and Molchanov, Pavlo and Kitani, Kris and Kautz, Jan}, title = {GLAMR: Global Occlusion-Aware Human Mesh Recovery With Dynamic Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11038-11049} }
Capturing and Inferring Dense Full-Body Human-Scene Contact-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Chun-Hao P. and Yi, Hongwei and H\"oschle, Markus and Safroshkin, Matvey and Alexiadis, Tsvetelina and Polikovsky, Senya and Scharstein, Daniel and Black, Michael J.}, title = {Capturing and Inferring Dense Full-Body Human-Scene Contact}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13274-13285} }
Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Akimoto_2022_CVPR, author = {Akimoto, Naofumi and Matsuo, Yuhi and Aoki, Yoshimitsu}, title = {Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11441-11450} }
Generating High Fidelity Data From Low-Density Regions Using Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sehwag_2022_CVPR, author = {Sehwag, Vikash and Hazirbas, Caner and Gordo, Albert and Ozgenel, Firat and Canton, Cristian}, title = {Generating High Fidelity Data From Low-Density Regions Using Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11492-11501} }
CAFE: Learning To Condense Dataset by Aligning Features-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Kai and Zhao, Bo and Peng, Xiangyu and Zhu, Zheng and Yang, Shuo and Wang, Shuo and Huang, Guan and Bilen, Hakan and Wang, Xinchao and You, Yang}, title = {CAFE: Learning To Condense Dataset by Aligning Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12196-12205} }
Generalized Few-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tian_2022_CVPR, author = {Tian, Zhuotao and Lai, Xin and Jiang, Li and Liu, Shu and Shu, Michelle and Zhao, Hengshuang and Jia, Jiaya}, title = {Generalized Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11563-11572} }
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation-
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[supp]
[bibtex]@InProceedings{Dong_2022_CVPR, author = {Dong, Guanting and Zhang, Yueyi and Li, Hanlin and Sun, Xiaoyan and Xiong, Zhiwei}, title = {Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12776-12785} }
PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Zhijian and Fan, Xiaoran and Isler, Volkan and Park, Hyun Soo}, title = {PoseKernelLifter: Metric Lifting of 3D Human Pose Using Sound}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13179-13189} }
AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Ting-An and Yang, De-Nian and Chen, Ming-Syan}, title = {AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12538-12547} }
Self-Distillation From the Last Mini-Batch for Consistency Regularization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2022_CVPR, author = {Shen, Yiqing and Xu, Liwu and Yang, Yuzhe and Li, Yaqian and Guo, Yandong}, title = {Self-Distillation From the Last Mini-Batch for Consistency Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11943-11952} }
Interactive Multi-Class Tiny-Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2022_CVPR, author = {Lee, Chunggi and Park, Seonwook and Song, Heon and Ryu, Jeongun and Kim, Sanghoon and Kim, Haejoon and Pereira, S\'ergio and Yoo, Donggeun}, title = {Interactive Multi-Class Tiny-Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14136-14145} }
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Ruibin and Yang, Yibo and Tao, Dacheng}, title = {ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14371-14380} }
360-Attack: Distortion-Aware Perturbations From Perspective-Views-
[pdf]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yunjian and Liu, Yanwei and Liu, Jinxia and Miao, Jingbo and Argyriou, Antonios and Wang, Liming and Xu, Zhen}, title = {360-Attack: Distortion-Aware Perturbations From Perspective-Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15035-15044} }
Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Binghui and Li, Youqi and Zhou, Pan}, title = {Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13379-13387} }
Decoupling Makes Weakly Supervised Local Feature Better-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Kunhong and Wang, Longguang and Liu, Li and Ran, Qing and Xu, Kai and Guo, Yulan}, title = {Decoupling Makes Weakly Supervised Local Feature Better}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15838-15848} }
A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors-
[pdf]
[supp]
[bibtex]@InProceedings{Miraldo_2022_CVPR, author = {Miraldo, Pedro and Iglesias, Jos\'e Pedro}, title = {A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15797-15806} }
Self-Supervised Neural Articulated Shape and Appearance Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2022_CVPR, author = {Wei, Fangyin and Chabra, Rohan and Ma, Lingni and Lassner, Christoph and Zollh\"ofer, Michael and Rusinkiewicz, Szymon and Sweeney, Chris and Newcombe, Richard and Slavcheva, Mira}, title = {Self-Supervised Neural Articulated Shape and Appearance Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15816-15826} }
TCTrack: Temporal Contexts for Aerial Tracking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2022_CVPR, author = {Cao, Ziang and Huang, Ziyuan and Pan, Liang and Zhang, Shiwei and Liu, Ziwei and Fu, Changhong}, title = {TCTrack: Temporal Contexts for Aerial Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14798-14808} }
GAN-Supervised Dense Visual Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peebles_2022_CVPR, author = {Peebles, William and Zhu, Jun-Yan and Zhang, Richard and Torralba, Antonio and Efros, Alexei A. and Shechtman, Eli}, title = {GAN-Supervised Dense Visual Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13470-13481} }
GIFS: Neural Implicit Function for General Shape Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2022_CVPR, author = {Ye, Jianglong and Chen, Yuntao and Wang, Naiyan and Wang, Xiaolong}, title = {GIFS: Neural Implicit Function for General Shape Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12829-12839} }
Deblur-NeRF: Neural Radiance Fields From Blurry Images-
[pdf]
[supp]
[bibtex]@InProceedings{Ma_2022_CVPR, author = {Ma, Li and Li, Xiaoyu and Liao, Jing and Zhang, Qi and Wang, Xuan and Wang, Jue and Sander, Pedro V.}, title = {Deblur-NeRF: Neural Radiance Fields From Blurry Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12861-12870} }
DoubleField: Bridging the Neural Surface and Radiance Fields for High-Fidelity Human Reconstruction and Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2022_CVPR, author = {Shao, Ruizhi and Zhang, Hongwen and Zhang, He and Chen, Mingjia and Cao, Yan-Pei and Yu, Tao and Liu, Yebin}, title = {DoubleField: Bridging the Neural Surface and Radiance Fields for High-Fidelity Human Reconstruction and Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15872-15882} }
UnweaveNet: Unweaving Activity Stories-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Price_2022_CVPR, author = {Price, Will and Vondrick, Carl and Damen, Dima}, title = {UnweaveNet: Unweaving Activity Stories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13770-13779} }
Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kong_2022_CVPR, author = {Kong, Yuxin and Luo, Canjie and Ma, Weihong and Zhu, Qiyuan and Zhu, Shenggao and Yuan, Nicholas and Jin, Lianwen}, title = {Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13482-13491} }
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Zhen and Wang, Lingli and Huang, Xiang and Pan, Cihui and Yang, Jiaqi}, title = {PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12713-12723} }
Beyond Fixation: Dynamic Window Visual Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2022_CVPR, author = {Ren, Pengzhen and Li, Changlin and Wang, Guangrun and Xiao, Yun and Du, Qing and Liang, Xiaodan and Chang, Xiaojun}, title = {Beyond Fixation: Dynamic Window Visual Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11987-11997} }
Improving GAN Equilibrium by Raising Spatial Awareness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Jianyuan and Yang, Ceyuan and Xu, Yinghao and Shen, Yujun and Li, Hongdong and Zhou, Bolei}, title = {Improving GAN Equilibrium by Raising Spatial Awareness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11285-11293} }
Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples-
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[supp]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Noo-ri and Lee, Jee-Hyong}, title = {Propagation Regularizer for Semi-Supervised Learning With Extremely Scarce Labeled Samples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14401-14410} }
Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory-
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[supp]
[arXiv]
[bibtex]@InProceedings{Siyao_2022_CVPR, author = {Siyao, Li and Yu, Weijiang and Gu, Tianpei and Lin, Chunze and Wang, Quan and Qian, Chen and Loy, Chen Change and Liu, Ziwei}, title = {Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11050-11059} }
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Xue_2022_CVPR, author = {Xue, Nan and Wu, Tianfu and Xia, Gui-Song and Zhang, Liangpei}, title = {Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13065-13074} }
TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Jierun and He, Tianlang and Zhuo, Weipeng and Ma, Li and Ha, Sangtae and Chan, S.-H. Gary}, title = {TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12548-12558} }
Vision-Language Pre-Training for Boosting Scene Text Detectors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2022_CVPR, author = {Song, Sibo and Wan, Jianqiang and Yang, Zhibo and Tang, Jun and Cheng, Wenqing and Bai, Xiang and Yao, Cong}, title = {Vision-Language Pre-Training for Boosting Scene Text Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15681-15691} }
Simple but Effective: CLIP Embeddings for Embodied AI-
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[supp]
[arXiv]
[bibtex]@InProceedings{Khandelwal_2022_CVPR, author = {Khandelwal, Apoorv and Weihs, Luca and Mottaghi, Roozbeh and Kembhavi, Aniruddha}, title = {Simple but Effective: CLIP Embeddings for Embodied AI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14829-14838} }
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition-
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[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Hao and Jiang, Xinghua and Li, Xin and Bao, Zhimin and Jiang, Deqiang and Ren, Bo}, title = {NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12073-12082} }
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Elezi_2022_CVPR, author = {Elezi, Ismail and Yu, Zhiding and Anandkumar, Anima and Leal-Taix\'e, Laura and Alvarez, Jose M.}, title = {Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14492-14501} }
Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition-
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[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Lijin and Huang, Yifei and Sugano, Yusuke and Sato, Yoichi}, title = {Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14722-14732} }
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information-
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[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Lingfeng and Li, Xiang and Song, Renjie and Zhao, Borui and Tao, Juntian and Zhou, Shihao and Liang, Jiajun and Yang, Jian}, title = {Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10945-10954} }
Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport-
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[supp]
[arXiv]
[bibtex]@InProceedings{Saleh_2022_CVPR, author = {Saleh, Mahdi and Wu, Shun-Cheng and Cosmo, Luca and Navab, Nassir and Busam, Benjamin and Tombari, Federico}, title = {Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11757-11767} }
RCL: Recurrent Continuous Localization for Temporal Action Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Qiang and Zhang, Yanhao and Zheng, Yun and Pan, Pan}, title = {RCL: Recurrent Continuous Localization for Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13566-13575} }
FoggyStereo: Stereo Matching With Fog Volume Representation-
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[supp]
[bibtex]@InProceedings{Yao_2022_CVPR, author = {Yao, Chengtang and Yu, Lidong}, title = {FoggyStereo: Stereo Matching With Fog Volume Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13043-13052} }
Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video-
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[supp]
[bibtex]@InProceedings{Gartner_2022_CVPR, author = {G\"artner, Erik and Andriluka, Mykhaylo and Xu, Hongyi and Sminchisescu, Cristian}, title = {Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13106-13115} }
Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Zhipeng and Zhang, Zhizheng and Lan, Cuiling and Zeng, Wenjun and Chu, Peng and You, Quanzeng and Wang, Jiang and Liu, Zicheng and Zha, Zheng-Jun}, title = {Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14288-14297} }
Dynamic Scene Graph Generation via Anticipatory Pre-Training-
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[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Yiming and Yang, Xiaoshan and Xu, Changsheng}, title = {Dynamic Scene Graph Generation via Anticipatory Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13874-13883} }
CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows-
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[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2022_CVPR, author = {Dong, Xiaoyi and Bao, Jianmin and Chen, Dongdong and Zhang, Weiming and Yu, Nenghai and Yuan, Lu and Chen, Dong and Guo, Baining}, title = {CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12124-12134} }
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks-
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[supp]
[arXiv]
[bibtex]@InProceedings{Chuah_2022_CVPR, author = {Chuah, WeiQin and Tennakoon, Ruwan and Hoseinnezhad, Reza and Bab-Hadiashar, Alireza and Suter, David}, title = {ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13022-13032} }
Reduce Information Loss in Transformers for Pluralistic Image Inpainting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Qiankun and Tan, Zhentao and Chen, Dongdong and Chu, Qi and Dai, Xiyang and Chen, Yinpeng and Liu, Mengchen and Yuan, Lu and Yu, Nenghai}, title = {Reduce Information Loss in Transformers for Pluralistic Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11347-11357} }
Cross-Modal Transferable Adversarial Attacks From Images to Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2022_CVPR, author = {Wei, Zhipeng and Chen, Jingjing and Wu, Zuxuan and Jiang, Yu-Gang}, title = {Cross-Modal Transferable Adversarial Attacks From Images to Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15064-15073} }
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture-
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[supp]
[bibtex]@InProceedings{Zhu_2022_CVPR, author = {Zhu, Congcong and Wan, Xintong and Xie, Shaorong and Li, Xiaoqiang and Gu, Yinzheng}, title = {Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11112-11121} }
Physical Simulation Layer for Accurate 3D Modeling-
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[supp]
[bibtex]@InProceedings{Mezghanni_2022_CVPR, author = {Mezghanni, Mariem and Bodrito, Th\'eo and Boulkenafed, Malika and Ovsjanikov, Maks}, title = {Physical Simulation Layer for Accurate 3D Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13514-13523} }
Probabilistic Representations for Video Contrastive Learning-
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[supp]
[arXiv]
[bibtex]@InProceedings{Park_2022_CVPR, author = {Park, Jungin and Lee, Jiyoung and Kim, Ig-Jae and Sohn, Kwanghoon}, title = {Probabilistic Representations for Video Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14711-14721} }
EnvEdit: Environment Editing for Vision-and-Language Navigation-
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[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Jialu and Tan, Hao and Bansal, Mohit}, title = {EnvEdit: Environment Editing for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15407-15417} }
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Yun-Chun and Li, Haoda and Turpin, Dylan and Jacobson, Alec and Garg, Animesh}, title = {Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12724-12733} }
DECORE: Deep Compression With Reinforcement Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alwani_2022_CVPR, author = {Alwani, Manoj and Wang, Yang and Madhavan, Vashisht}, title = {DECORE: Deep Compression With Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12349-12359} }
Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abdelnabi_2022_CVPR, author = {Abdelnabi, Sahar and Hasan, Rakibul and Fritz, Mario}, title = {Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14940-14949} }
Masked Feature Prediction for Self-Supervised Visual Pre-Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2022_CVPR, author = {Wei, Chen and Fan, Haoqi and Xie, Saining and Wu, Chao-Yuan and Yuille, Alan and Feichtenhofer, Christoph}, title = {Masked Feature Prediction for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14668-14678} }
Certified Patch Robustness via Smoothed Vision Transformers-
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[supp]
[arXiv]
[bibtex]@InProceedings{Salman_2022_CVPR, author = {Salman, Hadi and Jain, Saachi and Wong, Eric and Madry, Aleksander}, title = {Certified Patch Robustness via Smoothed Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15137-15147} }
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy-
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[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Tianlong and Zhang, Zhenyu and Cheng, Yu and Awadallah, Ahmed and Wang, Zhangyang}, title = {The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12020-12030} }
Active Learning by Feature Mixing-
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[supp]
[arXiv]
[bibtex]@InProceedings{Parvaneh_2022_CVPR, author = {Parvaneh, Amin and Abbasnejad, Ehsan and Teney, Damien and Haffari, Gholamreza (Reza) and van den Hengel, Anton and Shi, Javen Qinfeng}, title = {Active Learning by Feature Mixing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12237-12246} }
Class-Aware Contrastive Semi-Supervised Learning-
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[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Fan and Wu, Kai and Zhang, Shuyi and Jiang, Guannan and Liu, Yong and Zheng, Feng and Zhang, Wei and Wang, Chengjie and Zeng, Long}, title = {Class-Aware Contrastive Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14421-14430} }
Debiased Learning From Naturally Imbalanced Pseudo-Labels-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Xudong and Wu, Zhirong and Lian, Long and Yu, Stella X.}, title = {Debiased Learning From Naturally Imbalanced Pseudo-Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14647-14657} }
RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization-
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[supp]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Yan and Lin, Kwan-Yee and Zhang, Guofeng and Wang, Xiaogang and Li, Hongsheng}, title = {RNNPose: Recurrent 6-DoF Object Pose Refinement With Robust Correspondence Field Estimation and Pose Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14880-14890} }
Towards Efficient Data Free Black-Box Adversarial Attack-
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[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jie and Li, Bo and Xu, Jianghe and Wu, Shuang and Ding, Shouhong and Zhang, Lei and Wu, Chao}, title = {Towards Efficient Data Free Black-Box Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15115-15125} }
Depth-Supervised NeRF: Fewer Views and Faster Training for Free-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2022_CVPR, author = {Deng, Kangle and Liu, Andrew and Zhu, Jun-Yan and Ramanan, Deva}, title = {Depth-Supervised NeRF: Fewer Views and Faster Training for Free}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12882-12891} }
Differentiable Dynamics for Articulated 3D Human Motion Reconstruction-
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[supp]
[bibtex]@InProceedings{Gartner_2022_CVPR, author = {G\"artner, Erik and Andriluka, Mykhaylo and Coumans, Erwin and Sminchisescu, Cristian}, title = {Differentiable Dynamics for Articulated 3D Human Motion Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13190-13200} }
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Taheri_2022_CVPR, author = {Taheri, Omid and Choutas, Vasileios and Black, Michael J. and Tzionas, Dimitrios}, title = {GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13263-13273} }
Multi-Robot Active Mapping via Neural Bipartite Graph Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2022_CVPR, author = {Ye, Kai and Dong, Siyan and Fan, Qingnan and Wang, He and Yi, Li and Xia, Fei and Wang, Jue and Chen, Baoquan}, title = {Multi-Robot Active Mapping via Neural Bipartite Graph Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14839-14848} }
Adversarial Texture for Fooling Person Detectors in the Physical World-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2022_CVPR, author = {Hu, Zhanhao and Huang, Siyuan and Zhu, Xiaopei and Sun, Fuchun and Zhang, Bo and Hu, Xiaolin}, title = {Adversarial Texture for Fooling Person Detectors in the Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13307-13316} }
TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed-
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[supp]
[bibtex]@InProceedings{Du_2022_CVPR, author = {Du, Shian and Luo, Yihong and Chen, Wei and Xu, Jian and Zeng, Delu}, title = {TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12570-12580} }
Arbitrary-Scale Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ntavelis_2022_CVPR, author = {Ntavelis, Evangelos and Shahbazi, Mohamad and Kastanis, Iason and Timofte, Radu and Danelljan, Martin and Van Gool, Luc}, title = {Arbitrary-Scale Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11533-11542} }
Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shi_2022_CVPR, author = {Shi, Yupeng and Liu, Xiao and Wei, Yuxiang and Wu, Zhongqin and Zuo, Wangmeng}, title = {Retrieval-Based Spatially Adaptive Normalization for Semantic Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11224-11233} }
Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Xinke and Ding, Henghui and Tong, Zekun and Wu, Yuwei and Chee, Yeow Meng}, title = {Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15947-15957} }
FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yin_2022_CVPR, author = {Yin, Yingda and Cai, Yingcheng and Wang, He and Chen, Baoquan}, title = {FisherMatch: Semi-Supervised Rotation Regression via Entropy-Based Filtering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11164-11173} }
NPBG++: Accelerating Neural Point-Based Graphics-
[pdf]
[supp]
[bibtex]@InProceedings{Rakhimov_2022_CVPR, author = {Rakhimov, Ruslan and Ardelean, Andrei-Timotei and Lempitsky, Victor and Burnaev, Evgeny}, title = {NPBG++: Accelerating Neural Point-Based Graphics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15969-15979} }
Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Jinke and He, Xiao and Wen, Yang and Gao, Yuan and Cheng, Xiaoqiang and Zhang, Dan}, title = {Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11809-11818} }
Dual-Key Multimodal Backdoors for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Walmer_2022_CVPR, author = {Walmer, Matthew and Sikka, Karan and Sur, Indranil and Shrivastava, Abhinav and Jha, Susmit}, title = {Dual-Key Multimodal Backdoors for Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15375-15385} }
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chang_2022_CVPR, author = {Chang, Zheng and Zhang, Xinfeng and Wang, Shanshe and Ma, Siwei and Gao, Wen}, title = {STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13946-13955} }
Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qing_2022_CVPR, author = {Qing, Zhiwu and Zhang, Shiwei and Huang, Ziyuan and Xu, Yi and Wang, Xiang and Tang, Mingqian and Gao, Changxin and Jin, Rong and Sang, Nong}, title = {Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13821-13831} }
Large Loss Matters in Weakly Supervised Multi-Label Classification-
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[supp]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Youngwook and Kim, Jae Myung and Akata, Zeynep and Lee, Jungwoo}, title = {Large Loss Matters in Weakly Supervised Multi-Label Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14156-14165} }
Attention Concatenation Volume for Accurate and Efficient Stereo Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Gangwei and Cheng, Junda and Guo, Peng and Yang, Xin}, title = {Attention Concatenation Volume for Accurate and Efficient Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12981-12990} }
Zero-Query Transfer Attacks on Context-Aware Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2022_CVPR, author = {Cai, Zikui and Rane, Shantanu and Brito, Alejandro E. and Song, Chengyu and Krishnamurthy, Srikanth V. and Roy-Chowdhury, Amit K. and Asif, M. Salman}, title = {Zero-Query Transfer Attacks on Context-Aware Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15024-15034} }
GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Biyang and Yu, Huimin and Qi, Guodong}, title = {GraftNet: Towards Domain Generalized Stereo Matching With a Broad-Spectrum and Task-Oriented Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13012-13021} }
Towards Total Recall in Industrial Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Roth_2022_CVPR, author = {Roth, Karsten and Pemula, Latha and Zepeda, Joaquin and Sch\"olkopf, Bernhard and Brox, Thomas and Gehler, Peter}, title = {Towards Total Recall in Industrial Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14318-14328} }
DTA: Physical Camouflage Attacks Using Differentiable Transformation Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Suryanto_2022_CVPR, author = {Suryanto, Naufal and Kim, Yongsu and Kang, Hyoeun and Larasati, Harashta Tatimma and Yun, Youngyeo and Le, Thi-Thu-Huong and Yang, Hunmin and Oh, Se-Yoon and Kim, Howon}, title = {DTA: Physical Camouflage Attacks Using Differentiable Transformation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15305-15314} }
Active Teacher for Semi-Supervised Object Detection-
[pdf]
[bibtex]@InProceedings{Mi_2022_CVPR, author = {Mi, Peng and Lin, Jianghang and Zhou, Yiyi and Shen, Yunhang and Luo, Gen and Sun, Xiaoshuai and Cao, Liujuan and Fu, Rongrong and Xu, Qiang and Ji, Rongrong}, title = {Active Teacher for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14482-14491} }
Audio-Adaptive Activity Recognition Across Video Domains-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Yunhua and Doughty, Hazel and Shao, Ling and Snoek, Cees G. M.}, title = {Audio-Adaptive Activity Recognition Across Video Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13791-13800} }
Merry Go Round: Rotate a Frame and Fool a DNN-
[pdf]
[supp]
[bibtex]@InProceedings{Thapar_2022_CVPR, author = {Thapar, Daksh and Nigam, Aditya and Arora, Chetan}, title = {Merry Go Round: Rotate a Frame and Fool a DNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15054-15063} }
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Yunqiu and Sun, Yifan and Yang, Zongxin and Miao, Jiaxu and Yang, Yi}, title = {H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14329-14339} }
A ConvNet for the 2020s-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining}, title = {A ConvNet for the 2020s}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11976-11986} }
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement-
[pdf]
[supp]
[bibtex]@InProceedings{Yu_2022_CVPR, author = {Yu, Guang and Wang, Siqi and Cai, Zhiping and Liu, Xinwang and Xu, Chuanfu and Wu, Chengkun}, title = {Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13987-13998} }
Proactive Image Manipulation Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Asnani_2022_CVPR, author = {Asnani, Vishal and Yin, Xi and Hassner, Tal and Liu, Sijia and Liu, Xiaoming}, title = {Proactive Image Manipulation Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15386-15395} }
StyTr2: Image Style Transfer With Transformers-
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[supp]
[bibtex]@InProceedings{Deng_2022_CVPR, author = {Deng, Yingying and Tang, Fan and Dong, Weiming and Ma, Chongyang and Pan, Xingjia and Wang, Lei and Xu, Changsheng}, title = {StyTr2: Image Style Transfer With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11326-11336} }
GreedyNASv2: Greedier Search With a Greedy Path Filter-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Tao and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Wang, Xiaogang and Xu, Chang}, title = {GreedyNASv2: Greedier Search With a Greedy Path Filter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11902-11911} }
BEVT: BERT Pretraining of Video Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Rui and Chen, Dongdong and Wu, Zuxuan and Chen, Yinpeng and Dai, Xiyang and Liu, Mengchen and Jiang, Yu-Gang and Zhou, Luowei and Yuan, Lu}, title = {BEVT: BERT Pretraining of Video Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14733-14743} }
Automatic Relation-Aware Graph Network Proliferation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2022_CVPR, author = {Cai, Shaofei and Li, Liang and Han, Xinzhe and Luo, Jiebo and Zha, Zheng-Jun and Huang, Qingming}, title = {Automatic Relation-Aware Graph Network Proliferation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10863-10873} }
Contextual Instance Decoupling for Robust Multi-Person Pose Estimation-
[pdf]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Dongkai and Zhang, Shiliang}, title = {Contextual Instance Decoupling for Robust Multi-Person Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11060-11068} }
A Simple Data Mixing Prior for Improving Self-Supervised Learning-
[pdf]
[bibtex]@InProceedings{Ren_2022_CVPR, author = {Ren, Sucheng and Wang, Huiyu and Gao, Zhengqi and He, Shengfeng and Yuille, Alan and Zhou, Yuyin and Xie, Cihang}, title = {A Simple Data Mixing Prior for Improving Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14595-14604} }
Multi-Modal Alignment Using Representation Codebook-
[pdf]
[arXiv]
[bibtex]@InProceedings{Duan_2022_CVPR, author = {Duan, Jiali and Chen, Liqun and Tran, Son and Yang, Jinyu and Xu, Yi and Zeng, Belinda and Chilimbi, Trishul}, title = {Multi-Modal Alignment Using Representation Codebook}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15651-15660} }
HARA: A Hierarchical Approach for Robust Rotation Averaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2022_CVPR, author = {Lee, Seong Hun and Civera, Javier}, title = {HARA: A Hierarchical Approach for Robust Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15777-15786} }
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Preechakul_2022_CVPR, author = {Preechakul, Konpat and Chatthee, Nattanat and Wizadwongsa, Suttisak and Suwajanakorn, Supasorn}, title = {Diffusion Autoencoders: Toward a Meaningful and Decodable Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10619-10629} }
Knowledge Distillation With the Reused Teacher Classifier-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Defang and Mei, Jian-Ping and Zhang, Hailin and Wang, Can and Feng, Yan and Chen, Chun}, title = {Knowledge Distillation With the Reused Teacher Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11933-11942} }
Contrastive Learning for Unsupervised Video Highlight Detection-
[pdf]
[bibtex]@InProceedings{Badamdorj_2022_CVPR, author = {Badamdorj, Taivanbat and Rochan, Mrigank and Wang, Yang and Cheng, Li}, title = {Contrastive Learning for Unsupervised Video Highlight Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14042-14052} }
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Chi_2022_CVPR, author = {Chi, Zhixiang and Gu, Li and Liu, Huan and Wang, Yang and Yu, Yuanhao and Tang, Jin}, title = {MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14166-14175} }
Dense Depth Priors for Neural Radiance Fields From Sparse Input Views-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Roessle_2022_CVPR, author = {Roessle, Barbara and Barron, Jonathan T. and Mildenhall, Ben and Srinivasan, Pratul P. and Nie{\ss}ner, Matthias}, title = {Dense Depth Priors for Neural Radiance Fields From Sparse Input Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12892-12901} }
Camera Pose Estimation Using Implicit Distortion Models-
[pdf]
[supp]
[bibtex]@InProceedings{Pan_2022_CVPR, author = {Pan, Linfei and Pollefeys, Marc and Larsson, Viktor}, title = {Camera Pose Estimation Using Implicit Distortion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12819-12828} }
Shape-Invariant 3D Adversarial Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Qidong and Dong, Xiaoyi and Chen, Dongdong and Zhou, Hang and Zhang, Weiming and Yu, Nenghai}, title = {Shape-Invariant 3D Adversarial Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15335-15344} }
LAS-AT: Adversarial Training With Learnable Attack Strategy-
[pdf]
[supp]
[bibtex]@InProceedings{Jia_2022_CVPR, author = {Jia, Xiaojun and Zhang, Yong and Wu, Baoyuan and Ma, Ke and Wang, Jue and Cao, Xiaochun}, title = {LAS-AT: Adversarial Training With Learnable Attack Strategy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13398-13408} }
ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2022_CVPR, author = {Wei, Dong and Wan, Yi and Zhang, Yongjun and Liu, Xinyi and Zhang, Bin and Wang, Xiqi}, title = {ELSR: Efficient Line Segment Reconstruction With Planes and Points Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15807-15815} }
DST: Dynamic Substitute Training for Data-Free Black-Box Attack-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Wenxuan and Qian, Xuelin and Fu, Yanwei and Xue, Xiangyang}, title = {DST: Dynamic Substitute Training for Data-Free Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14361-14370} }
Unsupervised Pre-Training for Temporal Action Localization Tasks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Can and Yang, Tianyu and Weng, Junwu and Cao, Meng and Wang, Jue and Zou, Yuexian}, title = {Unsupervised Pre-Training for Temporal Action Localization Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14031-14041} }
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction-
[pdf]
[supp]
[bibtex]@InProceedings{Chung_2022_CVPR, author = {Chung, Hyungjin and Sim, Byeongsu and Ye, Jong Chul}, title = {Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12413-12422} }
Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Jiseob and Lee, Jihoon and Zhang, Byoung-Tak}, title = {Smooth-Swap: A Simple Enhancement for Face-Swapping With Smoothness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10779-10788} }
High-Fidelity Human Avatars From a Single RGB Camera-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2022_CVPR, author = {Zhao, Hao and Zhang, Jinsong and Lai, Yu-Kun and Zheng, Zerong and Xie, Yingdi and Liu, Yebin and Li, Kun}, title = {High-Fidelity Human Avatars From a Single RGB Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15904-15913} }
ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Bingqian and Zhu, Yi and Chen, Zicong and Liang, Xiwen and Liu, Jianzhuang and Liang, Xiaodan}, title = {ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15396-15406} }
Automated Progressive Learning for Efficient Training of Vision Transformers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Changlin and Zhuang, Bohan and Wang, Guangrun and Liang, Xiaodan and Chang, Xiaojun and Yang, Yi}, title = {Automated Progressive Learning for Efficient Training of Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12486-12496} }
Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Jin_2022_CVPR, author = {Jin, Lei and Xu, Chenyang and Wang, Xiaojuan and Xiao, Yabo and Guo, Yandong and Nie, Xuecheng and Zhao, Jian}, title = {Single-Stage Is Enough: Multi-Person Absolute 3D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13086-13095} }
MulT: An End-to-End Multitask Learning Transformer-
[pdf]
[supp]
[bibtex]@InProceedings{Bhattacharjee_2022_CVPR, author = {Bhattacharjee, Deblina and Zhang, Tong and S\"usstrunk, Sabine and Salzmann, Mathieu}, title = {MulT: An End-to-End Multitask Learning Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12031-12041} }
DeeCap: Dynamic Early Exiting for Efficient Image Captioning-
[pdf]
[bibtex]@InProceedings{Fei_2022_CVPR, author = {Fei, Zhengcong and Yan, Xu and Wang, Shuhui and Tian, Qi}, title = {DeeCap: Dynamic Early Exiting for Efficient Image Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12216-12226} }
Semi-Supervised Few-Shot Learning via Multi-Factor Clustering-
[pdf]
[supp]
[bibtex]@InProceedings{Ling_2022_CVPR, author = {Ling, Jie and Liao, Lei and Yang, Meng and Shuai, Jia}, title = {Semi-Supervised Few-Shot Learning via Multi-Factor Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14564-14573} }
Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models-
[pdf]
[supp]
[bibtex]@InProceedings{Mavroudi_2022_CVPR, author = {Mavroudi, Effrosyni and Vidal, Ren\'e}, title = {Weakly-Supervised Generation and Grounding of Visual Descriptions With Conditional Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15544-15554} }
ARCS: Accurate Rotation and Correspondence Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2022_CVPR, author = {Peng, Liangzu and Tsakiris, Manolis C. and Vidal, Ren\'e}, title = {ARCS: Accurate Rotation and Correspondence Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11153-11163} }
Learning To Anticipate Future With Dynamic Context Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2022_CVPR, author = {Xu, Xinyu and Li, Yong-Lu and Lu, Cewu}, title = {Learning To Anticipate Future With Dynamic Context Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12734-12744} }
Perception Prioritized Training of Diffusion Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choi_2022_CVPR, author = {Choi, Jooyoung and Lee, Jungbeom and Shin, Chaehun and Kim, Sungwon and Kim, Hyunwoo and Yoon, Sungroh}, title = {Perception Prioritized Training of Diffusion Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11472-11481} }
CHEX: CHannel EXploration for CNN Model Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hou_2022_CVPR, author = {Hou, Zejiang and Qin, Minghai and Sun, Fei and Ma, Xiaolong and Yuan, Kun and Xu, Yi and Chen, Yen-Kuang and Jin, Rong and Xie, Yuan and Kung, Sun-Yuan}, title = {CHEX: CHannel EXploration for CNN Model Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12287-12298} }
Generalizable Human Pose Triangulation-
[pdf]
[supp]
[bibtex]@InProceedings{Bartol_2022_CVPR, author = {Bartol, Kristijan and Bojani\'c, David and Petkovi\'c, Tomislav and Pribani\'c, Tomislav}, title = {Generalizable Human Pose Triangulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11028-11037} }
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Zhenting and Zhai, Juan and Ma, Shiqing}, title = {BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15074-15084} }
Ensembling Off-the-Shelf Models for GAN Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kumari_2022_CVPR, author = {Kumari, Nupur and Zhang, Richard and Shechtman, Eli and Zhu, Jun-Yan}, title = {Ensembling Off-the-Shelf Models for GAN Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10651-10662} }
Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Jiang and Levine, Alexander and Lau, Chun Pong and Chellappa, Rama and Feizi, Soheil}, title = {Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14973-14982} }
A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information-
[pdf]
[supp]
[bibtex]@InProceedings{Kowal_2022_CVPR, author = {Kowal, Matthew and Siam, Mennatullah and Islam, Md Amirul and Bruce, Neil D. B. and Wildes, Richard P. and Derpanis, Konstantinos G.}, title = {A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13999-14009} }
Style Transformer for Image Inversion and Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2022_CVPR, author = {Hu, Xueqi and Huang, Qiusheng and Shi, Zhengyi and Li, Siyuan and Gao, Changxin and Sun, Li and Li, Qingli}, title = {Style Transformer for Image Inversion and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11337-11346} }
Pyramid Adversarial Training Improves ViT Performance-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Herrmann_2022_CVPR, author = {Herrmann, Charles and Sargent, Kyle and Jiang, Lu and Zabih, Ramin and Chang, Huiwen and Liu, Ce and Krishnan, Dilip and Sun, Deqing}, title = {Pyramid Adversarial Training Improves ViT Performance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13419-13429} }
Bridging Global Context Interactions for High-Fidelity Image Completion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2022_CVPR, author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei and Phung, Dinh}, title = {Bridging Global Context Interactions for High-Fidelity Image Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11512-11522} }
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Mijeong and Seo, Seonguk and Han, Bohyung}, title = {InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12912-12921} }
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2022_CVPR, author = {Zhao, Yunrui and Xu, Qianqian and Jiang, Yangbangyan and Wen, Peisong and Huang, Qingming}, title = {Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14461-14470} }
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Zhi and Sun, Kun and Yang, Fan and Tao, Wenbing}, title = {SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13221-13231} }
Relative Pose From a Calibrated and an Uncalibrated Smartphone Image-
[pdf]
[supp]
[bibtex]@InProceedings{Ding_2022_CVPR, author = {Ding, Yaqing and Barath, Daniel and Yang, Jian and Kukelova, Zuzana}, title = {Relative Pose From a Calibrated and an Uncalibrated Smartphone Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12766-12775} }
Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2022_CVPR, author = {Zeng, Wang and Jin, Sheng and Liu, Wentao and Qian, Chen and Luo, Ping and Ouyang, Wanli and Wang, Xiaogang}, title = {Not All Tokens Are Equal: Human-Centric Visual Analysis via Token Clustering Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11101-11111} }
Sound and Visual Representation Learning With Multiple Pretraining Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Vasudevan_2022_CVPR, author = {Vasudevan, Arun Balajee and Dai, Dengxin and Van Gool, Luc}, title = {Sound and Visual Representation Learning With Multiple Pretraining Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14616-14626} }
RePaint: Inpainting Using Denoising Diffusion Probabilistic Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lugmayr_2022_CVPR, author = {Lugmayr, Andreas and Danelljan, Martin and Romero, Andres and Yu, Fisher and Timofte, Radu and Van Gool, Luc}, title = {RePaint: Inpainting Using Denoising Diffusion Probabilistic Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11461-11471} }
Meta Agent Teaming Active Learning for Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Gong_2022_CVPR, author = {Gong, Jia and Fan, Zhipeng and Ke, Qiuhong and Rahmani, Hossein and Liu, Jun}, title = {Meta Agent Teaming Active Learning for Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11079-11089} }
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2022_CVPR, author = {Jiang, Haojun and Lin, Yuanze and Han, Dongchen and Song, Shiji and Huang, Gao}, title = {Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15513-15523} }
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Tang_2022_CVPR, author = {Tang, Hui and Jia, Kui}, title = {Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14658-14667} }
The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jones_2022_CVPR, author = {Jones, R. Kenny and Habib, Aalia and Hanocka, Rana and Ritchie, Daniel}, title = {The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11614-11623} }
Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ghoddoosian_2022_CVPR, author = {Ghoddoosian, Reza and Dwivedi, Isht and Agarwal, Nakul and Choi, Chiho and Dariush, Behzad}, title = {Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13780-13790} }
Disentangling Visual Embeddings for Attributes and Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Saini_2022_CVPR, author = {Saini, Nirat and Pham, Khoi and Shrivastava, Abhinav}, title = {Disentangling Visual Embeddings for Attributes and Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13658-13667} }
MiniViT: Compressing Vision Transformers With Weight Multiplexing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jinnian and Peng, Houwen and Wu, Kan and Liu, Mengchen and Xiao, Bin and Fu, Jianlong and Yuan, Lu}, title = {MiniViT: Compressing Vision Transformers With Weight Multiplexing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12145-12154} }
Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2022_CVPR, author = {Shi, Hanyu and Wei, Jiacheng and Li, Ruibo and Liu, Fayao and Lin, Guosheng}, title = {Weakly Supervised Segmentation on Outdoor 4D Point Clouds With Temporal Matching and Spatial Graph Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11840-11849} }
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2022_CVPR, author = {Lin, Zhi-Hao and Ma, Wei-Chiu and Hsu, Hao-Yu and Wang, Yu-Chiang Frank and Wang, Shenlong}, title = {NeurMiPs: Neural Mixture of Planar Experts for View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15702-15712} }
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2022_CVPR, author = {Dong, Xin and De Salvo, Barbara and Li, Meng and Liu, Chiao and Qu, Zhongnan and Kung, H.T. and Li, Ziyun}, title = {SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12559-12569} }
Boosting Robustness of Image Matting With Context Assembling and Strong Data Augmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dai_2022_CVPR, author = {Dai, Yutong and Price, Brian and Zhang, He and Shen, Chunhua}, title = {Boosting Robustness of Image Matting With Context Assembling and Strong Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11707-11716} }
Self-Supervised Spatial Reasoning on Multi-View Line Drawings-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2022_CVPR, author = {Xiang, Siyuan and Yang, Anbang and Xue, Yanfei and Yang, Yaoqing and Feng, Chen}, title = {Self-Supervised Spatial Reasoning on Multi-View Line Drawings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12745-12754} }
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2022_CVPR, author = {Wu, Huisi and Wang, Zhaoze and Song, Youyi and Yang, Lin and Qin, Jing}, title = {Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11666-11675} }
Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Minghao and Wei, Fangyun and Li, Chong and Cai, Deng}, title = {Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13801-13810} }
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mi_2022_CVPR, author = {Mi, Zhenxing and Di, Chang and Xu, Dan}, title = {Generalized Binary Search Network for Highly-Efficient Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12991-13000} }
Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs-
[pdf]
[supp]
[bibtex]@InProceedings{Turki_2022_CVPR, author = {Turki, Haithem and Ramanan, Deva and Satyanarayanan, Mahadev}, title = {Mega-NERF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12922-12931} }
Adversarial Eigen Attack on Black-Box Models-
[pdf]
[supp]
[bibtex]@InProceedings{Zhou_2022_CVPR, author = {Zhou, Linjun and Cui, Peng and Zhang, Xingxuan and Jiang, Yinan and Yang, Shiqiang}, title = {Adversarial Eigen Attack on Black-Box Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15254-15262} }
Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2022_CVPR, author = {Jin, Xin and He, Tianyu and Zheng, Kecheng and Yin, Zhiheng and Shen, Xu and Huang, Zhen and Feng, Ruoyu and Huang, Jianqiang and Chen, Zhibo and Hua, Xian-Sheng}, title = {Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14278-14287} }
Neural Architecture Search With Representation Mutual Information-
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[supp]
[bibtex]@InProceedings{Zheng_2022_CVPR, author = {Zheng, Xiawu and Fei, Xiang and Zhang, Lei and Wu, Chenglin and Chao, Fei and Liu, Jianzhuang and Zeng, Wei and Tian, Yonghong and Ji, Rongrong}, title = {Neural Architecture Search With Representation Mutual Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11912-11921} }
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Somepalli_2022_CVPR, author = {Somepalli, Gowthami and Fowl, Liam and Bansal, Arpit and Yeh-Chiang, Ping and Dar, Yehuda and Baraniuk, Richard and Goldblum, Micah and Goldstein, Tom}, title = {Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13699-13708} }
Multi-View Transformer for 3D Visual Grounding-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2022_CVPR, author = {Huang, Shijia and Chen, Yilun and Jia, Jiaya and Wang, Liwei}, title = {Multi-View Transformer for 3D Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15524-15533} }
Continual Predictive Learning From Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Geng and Zhang, Wendong and Lu, Han and Gao, Siyu and Wang, Yunbo and Long, Mingsheng and Yang, Xiaokang}, title = {Continual Predictive Learning From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10728-10737} }
Knowledge Distillation: A Good Teacher Is Patient and Consistent-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Beyer_2022_CVPR, author = {Beyer, Lucas and Zhai, Xiaohua and Royer, Am\'elie and Markeeva, Larisa and Anil, Rohan and Kolesnikov, Alexander}, title = {Knowledge Distillation: A Good Teacher Is Patient and Consistent}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10925-10934} }
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meng_2022_CVPR, author = {Meng, Qingyan and Xiao, Mingqing and Yan, Shen and Wang, Yisen and Lin, Zhouchen and Luo, Zhi-Quan}, title = {Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12444-12453} }
Lifelong Graph Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Chen and Qiu, Yuheng and Gao, Dasong and Scherer, Sebastian}, title = {Lifelong Graph Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13719-13728} }
Towards Practical Certifiable Patch Defense With Vision Transformer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2022_CVPR, author = {Chen, Zhaoyu and Li, Bo and Xu, Jianghe and Wu, Shuang and Ding, Shouhong and Zhang, Wenqiang}, title = {Towards Practical Certifiable Patch Defense With Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15148-15158} }
Label, Verify, Correct: A Simple Few Shot Object Detection Method-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kaul_2022_CVPR, author = {Kaul, Prannay and Xie, Weidi and Zisserman, Andrew}, title = {Label, Verify, Correct: A Simple Few Shot Object Detection Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14237-14247} }
Autoregressive Image Generation Using Residual Quantization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lee_2022_CVPR, author = {Lee, Doyup and Kim, Chiheon and Kim, Saehoon and Cho, Minsu and Han, Wook-Shin}, title = {Autoregressive Image Generation Using Residual Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11523-11532} }
End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Congcong and Wang, Xinyao and Wen, Longyin and Hong, Dexiang and Luo, Tiejian and Zhang, Libo}, title = {End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13967-13976} }
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Suzuki_2022_CVPR, author = {Suzuki, Teppei}, title = {TeachAugment: Data Augmentation Optimization Using Teacher Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10904-10914} }
Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning-
[pdf]
[bibtex]@InProceedings{Zheng_2022_CVPR, author = {Zheng, Minghang and Huang, Yanjie and Chen, Qingchao and Peng, Yuxin and Liu, Yang}, title = {Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15555-15564} }
Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2022_CVPR, author = {Zhao, Liang and Wang, Limin}, title = {Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14217-14226} }
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation From Monocular Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wei_2022_CVPR, author = {Wei, Wen-Li and Lin, Jen-Chun and Liu, Tyng-Luh and Liao, Hong-Yuan Mark}, title = {Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13211-13220} }
MixFormer: End-to-End Tracking With Iterative Mixed Attention-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cui_2022_CVPR, author = {Cui, Yutao and Jiang, Cheng and Wang, Limin and Wu, Gangshan}, title = {MixFormer: End-to-End Tracking With Iterative Mixed Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13608-13618} }
InOut: Diverse Image Outpainting via GAN Inversion-
[pdf]
[bibtex]@InProceedings{Cheng_2022_CVPR, author = {Cheng, Yen-Chi and Lin, Chieh Hubert and Lee, Hsin-Ying and Ren, Jian and Tulyakov, Sergey and Yang, Ming-Hsuan}, title = {InOut: Diverse Image Outpainting via GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11431-11440} }
What Matters for Meta-Learning Vision Regression Tasks?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gao_2022_CVPR, author = {Gao, Ning and Ziesche, Hanna and Vien, Ngo Anh and Volpp, Michael and Neumann, Gerhard}, title = {What Matters for Meta-Learning Vision Regression Tasks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14776-14786} }
Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wimmer_2022_CVPR, author = {Wimmer, Paul and Mehnert, Jens and Condurache, Alexandru}, title = {Interspace Pruning: Using Adaptive Filter Representations To Improve Training of Sparse CNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12527-12537} }
Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2022_CVPR, author = {Luo, Cheng and Lin, Qinliang and Xie, Weicheng and Wu, Bizhu and Xie, Jinheng and Shen, Linlin}, title = {Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15315-15324} }
ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Bokman_2022_CVPR, author = {B\"okman, Georg and Kahl, Fredrik and Flinth, Axel}, title = {ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10976-10985} }
GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2022_CVPR, author = {Deng, Yu and Yang, Jiaolong and Xiang, Jianfeng and Tong, Xin}, title = {GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10673-10683} }
UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2022_CVPR, author = {Li, Zhaowen and Zhu, Yousong and Yang, Fan and Li, Wei and Zhao, Chaoyang and Chen, Yingying and Chen, Zhiyang and Xie, Jiahao and Wu, Liwei and Zhao, Rui and Tang, Ming and Wang, Jinqiao}, title = {UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14627-14636} }
Decoupling Zero-Shot Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2022_CVPR, author = {Ding, Jian and Xue, Nan and Xia, Gui-Song and Dai, Dengxin}, title = {Decoupling Zero-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11583-11592} }
Towards Robust Vision Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mao_2022_CVPR, author = {Mao, Xiaofeng and Qi, Gege and Chen, Yuefeng and Li, Xiaodan and Duan, Ranjie and Ye, Shaokai and He, Yuan and Xue, Hui}, title = {Towards Robust Vision Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12042-12051} }
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiong_2022_CVPR, author = {Xiong, Yifeng and Lin, Jiadong and Zhang, Min and Hopcroft, John E. and He, Kun}, title = {Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14983-14992} }
Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Du_2022_CVPR, author = {Du, Xuefeng and Wang, Xin and Gozum, Gabriel and Li, Yixuan}, title = {Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13678-13688} }
Multi-Modal Extreme Classification-
[pdf]
[bibtex]@InProceedings{Mittal_2022_CVPR, author = {Mittal, Anshul and Dahiya, Kunal and Malani, Shreya and Ramaswamy, Janani and Kuruvilla, Seba and Ajmera, Jitendra and Chang, Keng-hao and Agarwal, Sumeet and Kar, Purushottam and Varma, Manik}, title = {Multi-Modal Extreme Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12393-12402} }
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Goyal_2022_CVPR, author = {Goyal, Ankit and Mousavian, Arsalan and Paxton, Chris and Chao, Yu-Wei and Okorn, Brian and Deng, Jia and Fox, Dieter}, title = {IFOR: Iterative Flow Minimization for Robotic Object Rearrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14787-14797} }
Training-Free Transformer Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2022_CVPR, author = {Zhou, Qinqin and Sheng, Kekai and Zheng, Xiawu and Li, Ke and Sun, Xing and Tian, Yonghong and Chen, Jie and Ji, Rongrong}, title = {Training-Free Transformer Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10894-10903} }
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Wenqiang and Huang, Zilong and Luo, Guozhong and Chen, Tao and Wang, Xinggang and Liu, Wenyu and Yu, Gang and Shen, Chunhua}, title = {TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12083-12093} }
3DAC: Learning Attribute Compression for Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fang_2022_CVPR, author = {Fang, Guangchi and Hu, Qingyong and Wang, Hanyun and Xu, Yiling and Guo, Yulan}, title = {3DAC: Learning Attribute Compression for Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14819-14828} }
Few-Shot Backdoor Defense Using Shapley Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guan_2022_CVPR, author = {Guan, Jiyang and Tu, Zhuozhuo and He, Ran and Tao, Dacheng}, title = {Few-Shot Backdoor Defense Using Shapley Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13358-13367} }
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Jinlu and Tu, Zhigang and Yang, Jianyu and Chen, Yujin and Yuan, Junsong}, title = {MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {13232-13242} }
Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data-
[pdf]
[supp]
[bibtex]@InProceedings{He_2022_CVPR, author = {He, Rundong and Han, Zhongyi and Lu, Xiankai and Yin, Yilong}, title = {Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14585-14594} }
High-Fidelity GAN Inversion for Image Attribute Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2022_CVPR, author = {Wang, Tengfei and Zhang, Yong and Fan, Yanbo and Wang, Jue and Chen, Qifeng}, title = {High-Fidelity GAN Inversion for Image Attribute Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11379-11388} }
MaskGIT: Masked Generative Image Transformer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chang_2022_CVPR, author = {Chang, Huiwen and Zhang, Han and Jiang, Lu and Liu, Ce and Freeman, William T.}, title = {MaskGIT: Masked Generative Image Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11315-11325} }
Instance-Aware Dynamic Neural Network Quantization-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Zhenhua and Wang, Yunhe and Han, Kai and Ma, Siwei and Gao, Wen}, title = {Instance-Aware Dynamic Neural Network Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12434-12443} }
When To Prune? A Policy Towards Early Structural Pruning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shen_2022_CVPR, author = {Shen, Maying and Molchanov, Pavlo and Yin, Hongxu and Alvarez, Jose M.}, title = {When To Prune? A Policy Towards Early Structural Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12247-12256} }
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2022_CVPR, author = {Lu, Haoyu and Fei, Nanyi and Huo, Yuqi and Gao, Yizhao and Lu, Zhiwu and Wen, Ji-Rong}, title = {COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15692-15701} }
Exploring Effective Data for Surrogate Training Towards Black-Box Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Sun_2022_CVPR, author = {Sun, Xuxiang and Cheng, Gong and Li, Hongda and Pei, Lei and Han, Junwei}, title = {Exploring Effective Data for Surrogate Training Towards Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15355-15364} }
Investigating Top-k White-Box and Transferable Black-Box Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Chaoning and Benz, Philipp and Karjauv, Adil and Cho, Jae Won and Zhang, Kang and Kweon, In So}, title = {Investigating Top-k White-Box and Transferable Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15085-15094} }
A Self-Supervised Descriptor for Image Copy Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pizzi_2022_CVPR, author = {Pizzi, Ed and Roy, Sreya Dutta and Ravindra, Sugosh Nagavara and Goyal, Priya and Douze, Matthijs}, title = {A Self-Supervised Descriptor for Image Copy Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14532-14542} }
Manifold Learning Benefits GANs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ni_2022_CVPR, author = {Ni, Yao and Koniusz, Piotr and Hartley, Richard and Nock, Richard}, title = {Manifold Learning Benefits GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11265-11274} }
Negative-Aware Attention Framework for Image-Text Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2022_CVPR, author = {Zhang, Kun and Mao, Zhendong and Wang, Quan and Zhang, Yongdong}, title = {Negative-Aware Attention Framework for Image-Text Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15661-15670} }
An Image Patch Is a Wave: Phase-Aware Vision MLP-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2022_CVPR, author = {Tang, Yehui and Han, Kai and Guo, Jianyuan and Xu, Chang and Li, Yanxi and Xu, Chao and Wang, Yunhe}, title = {An Image Patch Is a Wave: Phase-Aware Vision MLP}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10935-10944} }
Shunted Self-Attention via Multi-Scale Token Aggregation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ren_2022_CVPR, author = {Ren, Sucheng and Zhou, Daquan and He, Shengfeng and Feng, Jiashi and Wang, Xinchao}, title = {Shunted Self-Attention via Multi-Scale Token Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10853-10862} }
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2022_CVPR, author = {Zhong, Yiqi and Liu, Xianming and Zhai, Deming and Jiang, Junjun and Ji, Xiangyang}, title = {Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15345-15354} }
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2022_CVPR, author = {Yang, Jiancheng and Wickramasinghe, Udaranga and Ni, Bingbing and Fua, Pascal}, title = {ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15861-15871} }
Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency-
[pdf]
[bibtex]@InProceedings{Son_2022_CVPR, author = {Son, Jeany}, title = {Contrastive Learning for Space-Time Correspondence via Self-Cycle Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14679-14688} }
Scale-Equivalent Distillation for Semi-Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2022_CVPR, author = {Guo, Qiushan and Mu, Yao and Chen, Jianyu and Wang, Tianqi and Yu, Yizhou and Luo, Ping}, title = {Scale-Equivalent Distillation for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14522-14531} }
Attribute Group Editing for Reliable Few-Shot Image Generation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2022_CVPR, author = {Ding, Guanqi and Han, Xinzhe and Wang, Shuhui and Wu, Shuzhe and Jin, Xin and Tu, Dandan and Huang, Qingming}, title = {Attribute Group Editing for Reliable Few-Shot Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11194-11203} }
Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps-
[pdf]
[supp]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Seung Wook and Kreis, Karsten and Li, Daiqing and Torralba, Antonio and Fidler, Sanja}, title = {Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {10630-10640} }
Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond-
[pdf]
[supp]
[bibtex]@InProceedings{Ren_2022_CVPR, author = {Ren, Qibing and Bao, Qingquan and Wang, Runzhong and Yan, Junchi}, title = {Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {15263-15272} }
Feature Statistics Mixing Regularization for Generative Adversarial Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2022_CVPR, author = {Kim, Junho and Choi, Yunjey and Uh, Youngjung}, title = {Feature Statistics Mixing Regularization for Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {11294-11303} }
Urban Radiance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rematas_2022_CVPR, author = {Rematas, Konstantinos and Liu, Andrew and Srinivasan, Pratul P. and Barron, Jonathan T. and Tagliasacchi, Andrea and Funkhouser, Thomas and Ferrari, Vittorio}, title = {Urban Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {12932-12942} }
Upright-Net: Learning Upright Orientation for 3D Point Cloud-
[pdf]
[bibtex]@InProceedings{Pang_2022_CVPR, author = {Pang, Xufang and Li, Feng and Ding, Ning and Zhong, Xiaopin}, title = {Upright-Net: Learning Upright Orientation for 3D Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14911-14919} }
Geometric and Textural Augmentation for Domain Gap Reduction-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2022_CVPR, author = {Liu, Xiao-Chang and Yang, Yong-Liang and Hall, Peter}, title = {Geometric and Textural Augmentation for Domain Gap Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2022}, pages = {14340-14350} }
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization