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*.npy
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docs/topics/
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docs/datasets.md
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18 changes: 18 additions & 0 deletions docs/papers/algorithms/associative_embedding.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/cpm.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/dark.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/deeppose.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/higherhrnet.md
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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>

```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}
}
```

</details>
20 changes: 20 additions & 0 deletions docs/papers/algorithms/hmr.md
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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>

```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}
}
```

</details>
19 changes: 19 additions & 0 deletions docs/papers/algorithms/hourglass.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/hrnet.md
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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>

```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}
}
```

</details>
19 changes: 19 additions & 0 deletions docs/papers/algorithms/hrnetv2.md
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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>

```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}
}
```

</details>
17 changes: 17 additions & 0 deletions docs/papers/algorithms/internet.md
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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>

```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}
}
```

</details>
17 changes: 17 additions & 0 deletions docs/papers/algorithms/litehrnet.md
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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>

```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}
}
```

</details>
17 changes: 17 additions & 0 deletions docs/papers/algorithms/mspn.md
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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>

```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}
}
```

</details>
19 changes: 19 additions & 0 deletions docs/papers/algorithms/rsn.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/scnet.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/simplebaseline2d.md
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# Simple baselines for human pose estimation and tracking

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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>

```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}
}
```

</details>
17 changes: 17 additions & 0 deletions docs/papers/algorithms/simplebaseline3d.md
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# A simple yet effective baseline for 3d human pose estimation

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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/udp.md
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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>

```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}
}
```

</details>
18 changes: 18 additions & 0 deletions docs/papers/algorithms/videopose3d.md
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# 3D human pose estimation in video with temporal convolutions and semi-supervised training

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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>

```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}
}
```

</details>
17 changes: 17 additions & 0 deletions docs/papers/algorithms/vipnas.md
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# ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

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<details>
<summary align="right"><a href="https://arxiv.org/abs/2105.10154">ViPNAS (CVPR'2021)</a></summary>

```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}
}
```

</details>
19 changes: 19 additions & 0 deletions docs/papers/algorithms/wingloss.md
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# Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks

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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>

```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}
}
```

</details>
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