Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation

Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu. Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 11442-11449, AAAI Press, 2020. [doi]

@inproceedings{LiLJZHX20,
  title = {Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation},
  author = {Yang Li and Kan Li and Shuai Jiang and Ziyue Zhang and Congzhentao Huang and Richard Yi Da Xu},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/6808},
  researchr = {https://researchr.org/publication/LiLJZHX20},
  cites = {0},
  citedby = {0},
  pages = {11442-11449},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}