Initial snapshot: hand motion pipeline (Dyn-HaMR + dex-retargeting + SPIDER)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
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# 300 faces in-the-wild challenge: Database and results
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://www.sciencedirect.com/science/article/pii/S0262885616000147">300W (IMAVIS'2016)</a></summary>
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```bibtex
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@article{sagonas2016300,
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title={300 faces in-the-wild challenge: Database and results},
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author={Sagonas, Christos and Antonakos, Epameinondas and Tzimiropoulos, Georgios and Zafeiriou, Stefanos and Pantic, Maja},
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journal={Image and vision computing},
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volume={47},
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pages={3--18},
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year={2016},
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publisher={Elsevier}
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}
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```
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</details>
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# Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://ieeexplore.ieee.org/abstract/document/6130513/">AFLW (ICCVW'2011)</a></summary>
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```bibtex
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@inproceedings{koestinger2011annotated,
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title={Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization},
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author={Koestinger, Martin and Wohlhart, Paul and Roth, Peter M and Bischof, Horst},
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booktitle={2011 IEEE international conference on computer vision workshops (ICCV workshops)},
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pages={2144--2151},
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year={2011},
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organization={IEEE}
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}
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```
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</details>
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# Ai challenger: A large-scale dataset for going deeper in image understanding
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://arxiv.org/abs/1711.06475">AI Challenger (ArXiv'2017)</a></summary>
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```bibtex
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@article{wu2017ai,
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title={Ai challenger: A large-scale dataset for going deeper in image understanding},
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author={Wu, Jiahong and Zheng, He and Zhao, Bo and Li, Yixin and Yan, Baoming and Liang, Rui and Wang, Wenjia and Zhou, Shipei and Lin, Guosen and Fu, Yanwei and others},
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journal={arXiv preprint arXiv:1711.06475},
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year={2017}
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}
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```
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</details>
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# Cross-Domain Adaptation for Animal Pose Estimation
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_ICCV_2019/html/Cao_Cross-Domain_Adaptation_for_Animal_Pose_Estimation_ICCV_2019_paper.html">Animal-Pose (ICCV'2019)</a></summary>
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```bibtex
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@InProceedings{Cao_2019_ICCV,
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author = {Cao, Jinkun and Tang, Hongyang and Fang, Hao-Shu and Shen, Xiaoyong and Lu, Cewu and Tai, Yu-Wing},
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title = {Cross-Domain Adaptation for Animal Pose Estimation},
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booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
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month = {October},
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year = {2019}
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}
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```
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</details>
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# AP-10K: A Benchmark for Animal Pose Estimation in the Wild
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://arxiv.org/abs/2108.12617">AP-10K (NeurIPS'2021)</a></summary>
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```bibtex
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@misc{yu2021ap10k,
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title={AP-10K: A Benchmark for Animal Pose Estimation in the Wild},
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author={Hang Yu and Yufei Xu and Jing Zhang and Wei Zhao and Ziyu Guan and Dacheng Tao},
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year={2021},
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eprint={2108.12617},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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</details>
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# ATRW: A Benchmark for Amur Tiger Re-identification in the Wild
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://arxiv.org/abs/1906.05586">ATRW (ACM MM'2020)</a></summary>
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```bibtex
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@inproceedings{li2020atrw,
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title={ATRW: A Benchmark for Amur Tiger Re-identification in the Wild},
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author={Li, Shuyuan and Li, Jianguo and Tang, Hanlin and Qian, Rui and Lin, Weiyao},
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booktitle={Proceedings of the 28th ACM International Conference on Multimedia},
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pages={2590--2598},
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year={2020}
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}
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```
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</details>
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# Microsoft coco: Common objects in context
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-319-10602-1_48">COCO (ECCV'2014)</a></summary>
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```bibtex
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@inproceedings{lin2014microsoft,
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title={Microsoft coco: Common objects in context},
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author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
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booktitle={European conference on computer vision},
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pages={740--755},
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year={2014},
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organization={Springer}
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}
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```
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</details>
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# Whole-Body Human Pose Estimation in the Wild
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-030-58545-7_12">COCO-WholeBody (ECCV'2020)</a></summary>
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```bibtex
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@inproceedings{jin2020whole,
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title={Whole-Body Human Pose Estimation in the Wild},
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author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
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booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
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year={2020}
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}
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```
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</details>
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+17
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# Whole-Body Human Pose Estimation in the Wild
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-030-58545-7_12">COCO-WholeBody-Face (ECCV'2020)</a></summary>
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```bibtex
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@inproceedings{jin2020whole,
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title={Whole-Body Human Pose Estimation in the Wild},
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author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
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booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
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year={2020}
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}
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```
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</details>
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+17
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# Whole-Body Human Pose Estimation in the Wild
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-030-58545-7_12">COCO-WholeBody-Hand (ECCV'2020)</a></summary>
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```bibtex
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@inproceedings{jin2020whole,
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title={Whole-Body Human Pose Estimation in the Wild},
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author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
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booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
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year={2020}
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}
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```
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</details>
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# Robust face landmark estimation under occlusion
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_iccv_2013/html/Burgos-Artizzu_Robust_Face_Landmark_2013_ICCV_paper.html">COFW (ICCV'2013)</a></summary>
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```bibtex
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@inproceedings{burgos2013robust,
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title={Robust face landmark estimation under occlusion},
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author={Burgos-Artizzu, Xavier P and Perona, Pietro and Doll{\'a}r, Piotr},
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booktitle={Proceedings of the IEEE international conference on computer vision},
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pages={1513--1520},
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year={2013}
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}
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```
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</details>
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# CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Li_CrowdPose_Efficient_Crowded_Scenes_Pose_Estimation_and_a_New_Benchmark_CVPR_2019_paper.html">CrowdPose (CVPR'2019)</a></summary>
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```bibtex
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@article{li2018crowdpose,
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title={CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark},
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author={Li, Jiefeng and Wang, Can and Zhu, Hao and Mao, Yihuan and Fang, Hao-Shu and Lu, Cewu},
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journal={arXiv preprint arXiv:1812.00324},
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year={2018}
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}
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```
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</details>
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# DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2016/html/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.html">DeepFashion (CVPR'2016)</a></summary>
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```bibtex
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@inproceedings{liuLQWTcvpr16DeepFashion,
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author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
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title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
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booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2016}
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}
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```
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</details>
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://link.springer.com/chapter/10.1007/978-3-319-46475-6_15">DeepFashion (ECCV'2016)</a></summary>
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```bibtex
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@inproceedings{liuYLWTeccv16FashionLandmark,
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author = {Liu, Ziwei and Yan, Sijie and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
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title = {Fashion Landmark Detection in the Wild},
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booktitle = {European Conference on Computer Vision (ECCV)},
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month = {October},
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year = {2016}
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}
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```
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</details>
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# Fast animal pose estimation using deep neural networks
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://www.nature.com/articles/s41592-018-0234-5">Vinegar Fly (Nature Methods'2019)</a></summary>
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```bibtex
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@article{pereira2019fast,
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title={Fast animal pose estimation using deep neural networks},
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author={Pereira, Talmo D and Aldarondo, Diego E and Willmore, Lindsay and Kislin, Mikhail and Wang, Samuel S-H and Murthy, Mala and Shaevitz, Joshua W},
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journal={Nature methods},
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volume={16},
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number={1},
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pages={117--125},
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year={2019},
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publisher={Nature Publishing Group}
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}
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```
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</details>
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# Freihand: A dataset for markerless capture of hand pose and shape from single rgb images
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="http://openaccess.thecvf.com/content_ICCV_2019/html/Zimmermann_FreiHAND_A_Dataset_for_Markerless_Capture_of_Hand_Pose_and_ICCV_2019_paper.html">FreiHand (ICCV'2019)</a></summary>
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```bibtex
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@inproceedings{zimmermann2019freihand,
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title={Freihand: A dataset for markerless capture of hand pose and shape from single rgb images},
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author={Zimmermann, Christian and Ceylan, Duygu and Yang, Jimei and Russell, Bryan and Argus, Max and Brox, Thomas},
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booktitle={Proceedings of the IEEE International Conference on Computer Vision},
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pages={813--822},
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year={2019}
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}
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```
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</details>
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# Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://ieeexplore.ieee.org/abstract/document/6682899/">Human3.6M (TPAMI'2014)</a></summary>
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```bibtex
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@article{h36m_pami,
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author = {Ionescu, Catalin and Papava, Dragos and Olaru, Vlad and Sminchisescu, Cristian},
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title = {Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments},
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journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
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publisher = {IEEE Computer Society},
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volume = {36},
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number = {7},
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pages = {1325-1339},
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month = {jul},
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year = {2014}
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}
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```
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</details>
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# PaStaNet: Toward Human Activity Knowledge Engine
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<!-- [DATASET] -->
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<details>
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<summary align="right"><a href="https://arxiv.org/abs/2004.00945">Halpe (CVPR'2020)</a></summary>
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```bibtex
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@inproceedings{li2020pastanet,
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title={PaStaNet: Toward Human Activity Knowledge Engine},
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author={Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
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booktitle={CVPR},
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year={2020}
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}
|
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```
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|
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</details>
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# Pretraining boosts out-of-domain robustness for pose estimation
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<!-- [DATASET] -->
|
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<details>
|
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<summary align="right"><a href="https://openaccess.thecvf.com/content/WACV2021/html/Mathis_Pretraining_Boosts_Out-of-Domain_Robustness_for_Pose_Estimation_WACV_2021_paper.html">Horse-10 (WACV'2021)</a></summary>
|
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|
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```bibtex
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@inproceedings{mathis2021pretraining,
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title={Pretraining boosts out-of-domain robustness for pose estimation},
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author={Mathis, Alexander and Biasi, Thomas and Schneider, Steffen and Yuksekgonul, Mert and Rogers, Byron and Bethge, Matthias and Mathis, Mackenzie W},
|
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booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
|
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pages={1859--1868},
|
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year={2021}
|
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}
|
||||
```
|
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|
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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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|
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<!-- [DATASET] -->
|
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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">InterHand2.6M (ECCV'2020)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@article{moon2020interhand2,
|
||||
title={InterHand2.6M: A dataset and baseline for 3D interacting hand pose estimation from a single RGB image},
|
||||
author={Moon, Gyeongsik and Yu, Shoou-I and Wen, He and Shiratori, Takaaki and Lee, Kyoung Mu},
|
||||
journal={arXiv preprint arXiv:2008.09309},
|
||||
year={2020},
|
||||
publisher={Springer}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
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|
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# Towards understanding action recognition
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://www.cv-foundation.org/openaccess/content_iccv_2013/html/Jhuang_Towards_Understanding_Action_2013_ICCV_paper.html">JHMDB (ICCV'2013)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{Jhuang:ICCV:2013,
|
||||
title = {Towards understanding action recognition},
|
||||
author = {H. Jhuang and J. Gall and S. Zuffi and C. Schmid and M. J. Black},
|
||||
booktitle = {International Conf. on Computer Vision (ICCV)},
|
||||
month = Dec,
|
||||
pages = {3192-3199},
|
||||
year = {2013}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
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|
||||
# DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://elifesciences.org/articles/47994">Desert Locust (Elife'2019)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@article{graving2019deepposekit,
|
||||
title={DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning},
|
||||
author={Graving, Jacob M and Chae, Daniel and Naik, Hemal and Li, Liang and Koger, Benjamin and Costelloe, Blair R and Couzin, Iain D},
|
||||
journal={Elife},
|
||||
volume={8},
|
||||
pages={e47994},
|
||||
year={2019},
|
||||
publisher={eLife Sciences Publications Limited}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
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# MacaquePose: A novel ‘in the wild’macaque monkey pose dataset for markerless motion capture
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/pmc7874091/">MacaquePose (bioRxiv'2020)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@article{labuguen2020macaquepose,
|
||||
title={MacaquePose: A novel ‘in the wild’macaque monkey pose dataset for markerless motion capture},
|
||||
author={Labuguen, Rollyn and Matsumoto, Jumpei and Negrete, Salvador and Nishimaru, Hiroshi and Nishijo, Hisao and Takada, Masahiko and Go, Yasuhiro and Inoue, Ken-ichi and Shibata, Tomohiro},
|
||||
journal={bioRxiv},
|
||||
year={2020},
|
||||
publisher={Cold Spring Harbor Laboratory}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://dl.acm.org/doi/abs/10.1145/3240508.3240509">MHP (ACM MM'2018)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{zhao2018understanding,
|
||||
title={Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing},
|
||||
author={Zhao, Jian and Li, Jianshu and Cheng, Yu and Sim, Terence and Yan, Shuicheng and Feng, Jiashi},
|
||||
booktitle={Proceedings of the 26th ACM international conference on Multimedia},
|
||||
pages={792--800},
|
||||
year={2018}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
+20
@@ -0,0 +1,20 @@
|
||||
# Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://ieeexplore.ieee.org/abstract/document/8374605/">MPI-INF-3DHP (3DV'2017)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{mono-3dhp2017,
|
||||
author = {Mehta, Dushyant and Rhodin, Helge and Casas, Dan and Fua, Pascal and Sotnychenko, Oleksandr and Xu, Weipeng and Theobalt, Christian},
|
||||
title = {Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision},
|
||||
booktitle = {3D Vision (3DV), 2017 Fifth International Conference on},
|
||||
url = {http://gvv.mpi-inf.mpg.de/3dhp_dataset},
|
||||
year = {2017},
|
||||
organization={IEEE},
|
||||
doi={10.1109/3dv.2017.00064},
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2014/html/Andriluka_2D_Human_Pose_2014_CVPR_paper.html">MPII (CVPR'2014)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{andriluka14cvpr,
|
||||
author = {Mykhaylo Andriluka and Leonid Pishchulin and Peter Gehler and Schiele, Bernt},
|
||||
title = {2D Human Pose Estimation: New Benchmark and State of the Art Analysis},
|
||||
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
|
||||
year = {2014},
|
||||
month = {June}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# TRB: A Novel Triplet Representation for Understanding 2D Human Body
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_ICCV_2019/html/Duan_TRB_A_Novel_Triplet_Representation_for_Understanding_2D_Human_Body_ICCV_2019_paper.html">MPII-TRB (ICCV'2019)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{duan2019trb,
|
||||
title={TRB: A Novel Triplet Representation for Understanding 2D Human Body},
|
||||
author={Duan, Haodong and Lin, Kwan-Yee and Jin, Sheng and Liu, Wentao and Qian, Chen and Ouyang, Wanli},
|
||||
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
|
||||
pages={9479--9488},
|
||||
year={2019}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# Pose2seg: Detection free human instance segmentation
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Pose2Seg_Detection_Free_Human_Instance_Segmentation_CVPR_2019_paper.html">OCHuman (CVPR'2019)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{zhang2019pose2seg,
|
||||
title={Pose2seg: Detection free human instance segmentation},
|
||||
author={Zhang, Song-Hai and Li, Ruilong and Dong, Xin and Rosin, Paul and Cai, Zixi and Han, Xi and Yang, Dingcheng and Huang, Haozhi and Hu, Shi-Min},
|
||||
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
|
||||
pages={889--898},
|
||||
year={2019}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,21 @@
|
||||
# Mask-pose cascaded cnn for 2d hand pose estimation from single color image
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://ieeexplore.ieee.org/abstract/document/8529221/">OneHand10K (TCSVT'2019)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@article{wang2018mask,
|
||||
title={Mask-pose cascaded cnn for 2d hand pose estimation from single color image},
|
||||
author={Wang, Yangang and Peng, Cong and Liu, Yebin},
|
||||
journal={IEEE Transactions on Circuits and Systems for Video Technology},
|
||||
volume={29},
|
||||
number={11},
|
||||
pages={3258--3268},
|
||||
year={2018},
|
||||
publisher={IEEE}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# Hand keypoint detection in single images using multiview bootstrapping
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2017/html/Simon_Hand_Keypoint_Detection_CVPR_2017_paper.html">CMU Panoptic HandDB (CVPR'2017)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{simon2017hand,
|
||||
title={Hand keypoint detection in single images using multiview bootstrapping},
|
||||
author={Simon, Tomas and Joo, Hanbyul and Matthews, Iain and Sheikh, Yaser},
|
||||
booktitle={Proceedings of the IEEE conference on Computer Vision and Pattern Recognition},
|
||||
pages={1145--1153},
|
||||
year={2017}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
# Panoptic Studio: A Massively Multiview System for Social Motion Capture
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://openaccess.thecvf.com/content_iccv_2015/html/Joo_Panoptic_Studio_A_ICCV_2015_paper.html">CMU Panoptic (ICCV'2015)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@Article = {joo_iccv_2015,
|
||||
author = {Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh},
|
||||
title = {Panoptic Studio: A Massively Multiview System for Social Motion Capture},
|
||||
booktitle = {ICCV},
|
||||
year = {2015}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# Posetrack: A benchmark for human pose estimation and tracking
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Andriluka_PoseTrack_A_Benchmark_CVPR_2018_paper.html">PoseTrack18 (CVPR'2018)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{andriluka2018posetrack,
|
||||
title={Posetrack: A benchmark for human pose estimation and tracking},
|
||||
author={Andriluka, Mykhaylo and Iqbal, Umar and Insafutdinov, Eldar and Pishchulin, Leonid and Milan, Anton and Gall, Juergen and Schiele, Bernt},
|
||||
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
|
||||
pages={5167--5176},
|
||||
year={2018}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,19 @@
|
||||
# Learning to Estimate 3D Hand Pose from Single RGB Images
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://lmb.informatik.uni-freiburg.de/projects/hand3d/">RHD (ICCV'2017)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@TechReport{zb2017hand,
|
||||
author={Christian Zimmermann and Thomas Brox},
|
||||
title={Learning to Estimate 3D Hand Pose from Single RGB Images},
|
||||
institution={arXiv:1705.01389},
|
||||
year={2017},
|
||||
note="https://arxiv.org/abs/1705.01389",
|
||||
url="https://lmb.informatik.uni-freiburg.de/projects/hand3d/"
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,18 @@
|
||||
# Look at boundary: A boundary-aware face alignment algorithm
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="http://openaccess.thecvf.com/content_cvpr_2018/html/Wu_Look_at_Boundary_CVPR_2018_paper.html">WFLW (CVPR'2018)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@inproceedings{wu2018look,
|
||||
title={Look at boundary: A boundary-aware face alignment algorithm},
|
||||
author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
|
||||
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
|
||||
pages={2129--2138},
|
||||
year={2018}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
@@ -0,0 +1,20 @@
|
||||
# DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
|
||||
|
||||
<!-- [DATASET] -->
|
||||
|
||||
<details>
|
||||
<summary align="right"><a href="https://elifesciences.org/articles/47994">Grévy’s Zebra (Elife'2019)</a></summary>
|
||||
|
||||
```bibtex
|
||||
@article{graving2019deepposekit,
|
||||
title={DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning},
|
||||
author={Graving, Jacob M and Chae, Daniel and Naik, Hemal and Li, Liang and Koger, Benjamin and Costelloe, Blair R and Couzin, Iain D},
|
||||
journal={Elife},
|
||||
volume={8},
|
||||
pages={e47994},
|
||||
year={2019},
|
||||
publisher={eLife Sciences Publications Limited}
|
||||
}
|
||||
```
|
||||
|
||||
</details>
|
||||
Reference in New Issue
Block a user