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# Associative embedding: End-to-end learning for joint detection and grouping (AE) | ||
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<details> | ||
<summary align="right"><a href="https://arxiv.org/abs/1611.05424">Associative Embedding (NIPS'2017)</a></summary> | ||
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```bibtex | ||
@inproceedings{newell2017associative, | ||
title={Associative embedding: End-to-end learning for joint detection and grouping}, | ||
author={Newell, Alejandro and Huang, Zhiao and Deng, Jia}, | ||
booktitle={Advances in neural information processing systems}, | ||
pages={2277--2287}, | ||
year={2017} | ||
} | ||
``` | ||
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</details> |
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# Convolutional pose machines | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2016/html/Wei_Convolutional_Pose_Machines_CVPR_2016_paper.html">CPM (CVPR'2016)</a></summary> | ||
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```bibtex | ||
@inproceedings{wei2016convolutional, | ||
title={Convolutional pose machines}, | ||
author={Wei, Shih-En and Ramakrishna, Varun and Kanade, Takeo and Sheikh, Yaser}, | ||
booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition}, | ||
pages={4724--4732}, | ||
year={2016} | ||
} | ||
``` | ||
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</details> |
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# Distribution-aware coordinate representation for human pose estimation | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Distribution-Aware_Coordinate_Representation_for_Human_Pose_Estimation_CVPR_2020_paper.html">DarkPose (CVPR'2020)</a></summary> | ||
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```bibtex | ||
@inproceedings{zhang2020distribution, | ||
title={Distribution-aware coordinate representation for human pose estimation}, | ||
author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce}, | ||
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | ||
pages={7093--7102}, | ||
year={2020} | ||
} | ||
``` | ||
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</details> |
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# DeepPose: Human pose estimation via deep neural networks | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2014/html/Toshev_DeepPose_Human_Pose_2014_CVPR_paper.html">DeepPose (CVPR'2014)</a></summary> | ||
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```bibtex | ||
@inproceedings{toshev2014deeppose, | ||
title={Deeppose: Human pose estimation via deep neural networks}, | ||
author={Toshev, Alexander and Szegedy, Christian}, | ||
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, | ||
pages={1653--1660}, | ||
year={2014} | ||
} | ||
``` | ||
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</details> |
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# HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2020/html/Cheng_HigherHRNet_Scale-Aware_Representation_Learning_for_Bottom-Up_Human_Pose_Estimation_CVPR_2020_paper.html">HigherHRNet (CVPR'2020)</a></summary> | ||
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```bibtex | ||
@inproceedings{cheng2020higherhrnet, | ||
title={HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation}, | ||
author={Cheng, Bowen and Xiao, Bin and Wang, Jingdong and Shi, Honghui and Huang, Thomas S and Zhang, Lei}, | ||
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | ||
pages={5386--5395}, | ||
year={2020} | ||
} | ||
``` | ||
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</details> |
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# End-to-end Recovery of Human Shape and Pose | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Kanazawa_End-to-End_Recovery_of_CVPR_2018_paper.html">HMR (CVPR'2018)</a></summary> | ||
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```bibtex | ||
@inProceedings{kanazawaHMR18, | ||
title={End-to-end Recovery of Human Shape and Pose}, | ||
author = {Angjoo Kanazawa | ||
and Michael J. Black | ||
and David W. Jacobs | ||
and Jitendra Malik}, | ||
booktitle={Computer Vision and Pattern Recognition (CVPR)}, | ||
year={2018} | ||
} | ||
``` | ||
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</details> |
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# Stacked hourglass networks for human pose estimation | ||
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<details> | ||
<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-319-46484-8_29">Hourglass (ECCV'2016)</a></summary> | ||
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```bibtex | ||
@inproceedings{newell2016stacked, | ||
title={Stacked hourglass networks for human pose estimation}, | ||
author={Newell, Alejandro and Yang, Kaiyu and Deng, Jia}, | ||
booktitle={European conference on computer vision}, | ||
pages={483--499}, | ||
year={2016}, | ||
organization={Springer} | ||
} | ||
``` | ||
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</details> |
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# Deep high-resolution representation learning for human pose estimation | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html">HRNet (CVPR'2019)</a></summary> | ||
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```bibtex | ||
@inproceedings{sun2019deep, | ||
title={Deep high-resolution representation learning for human pose estimation}, | ||
author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong}, | ||
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, | ||
pages={5693--5703}, | ||
year={2019} | ||
} | ||
``` | ||
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</details> |
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# Deep high-resolution representation learning for visual recognition | ||
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<details> | ||
<summary align="right"><a href="https://ieeexplore.ieee.org/abstract/document/9052469/">HRNetv2 (TPAMI'2019)</a></summary> | ||
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```bibtex | ||
@article{WangSCJDZLMTWLX19, | ||
title={Deep High-Resolution Representation Learning for Visual Recognition}, | ||
author={Jingdong Wang and Ke Sun and Tianheng Cheng and | ||
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and | ||
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao}, | ||
journal={TPAMI}, | ||
year={2019} | ||
} | ||
``` | ||
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</details> |
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# InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image | ||
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<details> | ||
<summary align="right"><a href="https://link.springer.com/content/pdf/10.1007/978-3-030-58565-5_33.pdf">InterNet (ECCV'2020)</a></summary> | ||
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```bibtex | ||
@InProceedings{Moon_2020_ECCV_InterHand2.6M, | ||
author = {Moon, Gyeongsik and Yu, Shoou-I and Wen, He and Shiratori, Takaaki and Lee, Kyoung Mu}, | ||
title = {InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image}, | ||
booktitle = {European Conference on Computer Vision (ECCV)}, | ||
year = {2020} | ||
} | ||
``` | ||
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</details> |
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# Lite-HRNet: A Lightweight High-Resolution Network | ||
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<details> | ||
<summary align="right"><a href="https://arxiv.org/abs/2104.06403">LiteHRNet (CVPR'2021)</a></summary> | ||
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```bibtex | ||
@inproceedings{Yulitehrnet21, | ||
title={Lite-HRNet: A Lightweight High-Resolution Network}, | ||
author={Yu, Changqian and Xiao, Bin and Gao, Changxin and Yuan, Lu and Zhang, Lei and Sang, Nong and Wang, Jingdong}, | ||
booktitle={CVPR}, | ||
year={2021} | ||
} | ||
``` | ||
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</details> |
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# Rethinking on multi-stage networks for human pose estimation | ||
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<details> | ||
<summary align="right"><a href="https://arxiv.org/abs/1901.00148">MSPN (ArXiv'2019)</a></summary> | ||
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```bibtex | ||
@article{li2019rethinking, | ||
title={Rethinking on Multi-Stage Networks for Human Pose Estimation}, | ||
author={Li, Wenbo and Wang, Zhicheng and Yin, Binyi and Peng, Qixiang and Du, Yuming and Xiao, Tianzi and Yu, Gang and Lu, Hongtao and Wei, Yichen and Sun, Jian}, | ||
journal={arXiv preprint arXiv:1901.00148}, | ||
year={2019} | ||
} | ||
``` | ||
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</details> |
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# Learning delicate local representations for multi-person pose estimation | ||
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<details> | ||
<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-030-58580-8_27">RSN (ECCV'2020)</a></summary> | ||
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```bibtex | ||
@misc{cai2020learning, | ||
title={Learning Delicate Local Representations for Multi-Person Pose Estimation}, | ||
author={Yuanhao Cai and Zhicheng Wang and Zhengxiong Luo and Binyi Yin and Angang Du and Haoqian Wang and Xinyu Zhou and Erjin Zhou and Xiangyu Zhang and Jian Sun}, | ||
year={2020}, | ||
eprint={2003.04030}, | ||
archivePrefix={arXiv}, | ||
primaryClass={cs.CV} | ||
} | ||
``` | ||
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</details> |
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# Improving Convolutional Networks with Self-Calibrated Convolutions | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2020/html/Liu_Improving_Convolutional_Networks_With_Self-Calibrated_Convolutions_CVPR_2020_paper.html">SCNet (CVPR'2020)</a></summary> | ||
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```bibtex | ||
@inproceedings{liu2020improving, | ||
title={Improving Convolutional Networks with Self-Calibrated Convolutions}, | ||
author={Liu, Jiang-Jiang and Hou, Qibin and Cheng, Ming-Ming and Wang, Changhu and Feng, Jiashi}, | ||
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | ||
pages={10096--10105}, | ||
year={2020} | ||
} | ||
``` | ||
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</details> |
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# Simple baselines for human pose estimation and tracking | ||
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<!-- [ALGORITHM] --> | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_ECCV_2018/html/Bin_Xiao_Simple_Baselines_for_ECCV_2018_paper.html">SimpleBaseline2D (ECCV'2018)</a></summary> | ||
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```bibtex | ||
@inproceedings{xiao2018simple, | ||
title={Simple baselines for human pose estimation and tracking}, | ||
author={Xiao, Bin and Wu, Haiping and Wei, Yichen}, | ||
booktitle={Proceedings of the European conference on computer vision (ECCV)}, | ||
pages={466--481}, | ||
year={2018} | ||
} | ||
``` | ||
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</details> |
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# A simple yet effective baseline for 3d human pose estimation | ||
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<!-- [ALGORITHM] --> | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_iccv_2017/html/Martinez_A_Simple_yet_ICCV_2017_paper.html">SimpleBaseline3D (ICCV'2017)</a></summary> | ||
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```bibtex | ||
@inproceedings{martinez_2017_3dbaseline, | ||
title={A simple yet effective baseline for 3d human pose estimation}, | ||
author={Martinez, Julieta and Hossain, Rayat and Romero, Javier and Little, James J.}, | ||
booktitle={ICCV}, | ||
year={2017} | ||
} | ||
``` | ||
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</details> |
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# The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2020/html/Huang_The_Devil_Is_in_the_Details_Delving_Into_Unbiased_Data_CVPR_2020_paper.html">UDP (CVPR'2020)</a></summary> | ||
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```bibtex | ||
@InProceedings{Huang_2020_CVPR, | ||
author = {Huang, Junjie and Zhu, Zheng and Guo, Feng and Huang, Guan}, | ||
title = {The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation}, | ||
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, | ||
month = {June}, | ||
year = {2020} | ||
} | ||
``` | ||
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</details> |
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# 3D human pose estimation in video with temporal convolutions and semi-supervised training | ||
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<!-- [ALGORITHM] --> | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Pavllo_3D_Human_Pose_Estimation_in_Video_With_Temporal_Convolutions_and_CVPR_2019_paper.html">VideoPose3D (CVPR'2019)</a></summary> | ||
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```bibtex | ||
@inproceedings{pavllo20193d, | ||
title={3d human pose estimation in video with temporal convolutions and semi-supervised training}, | ||
author={Pavllo, Dario and Feichtenhofer, Christoph and Grangier, David and Auli, Michael}, | ||
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, | ||
pages={7753--7762}, | ||
year={2019} | ||
} | ||
``` | ||
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</details> |
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# ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search | ||
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<!-- [ALGORITHM] --> | ||
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<details> | ||
<summary align="right"><a href="https://arxiv.org/abs/2105.10154">ViPNAS (CVPR'2021)</a></summary> | ||
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```bibtex | ||
@article{xu2021vipnas, | ||
title={ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search}, | ||
author={Xu, Lumin and Guan, Yingda and Jin, Sheng and Liu, Wentao and Qian, Chen and Luo, Ping and Ouyang, Wanli and Wang, Xiaogang}, | ||
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition}, | ||
year={2021} | ||
} | ||
``` | ||
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</details> |
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# Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks | ||
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<!-- [ALGORITHM] --> | ||
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<details> | ||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Feng_Wing_Loss_for_CVPR_2018_paper.html">Wingloss (CVPR'2018)</a></summary> | ||
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```bibtex | ||
@inproceedings{feng2018wing, | ||
title={Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks}, | ||
author={Feng, Zhen-Hua and Kittler, Josef and Awais, Muhammad and Huber, Patrik and Wu, Xiao-Jun}, | ||
booktitle={Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on}, | ||
year={2018}, | ||
pages ={2235-2245}, | ||
organization={IEEE} | ||
} | ||
``` | ||
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</details> |
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