PoseGate-Former: Transformer Encoder with Trainable Gate for 3D Human Pose Estimation Using Weakly Supervised Learning

Shannan Guan, Haiyan Lu, Linchao Zhu, Gengfa Fang. PoseGate-Former: Transformer Encoder with Trainable Gate for 3D Human Pose Estimation Using Weakly Supervised Learning. In Teddy Mantoro, Minho Lee 0001, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto, editors, Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI. Volume 1517 of Communications in Computer and Information Science, pages 266-274, Springer, 2021. [doi]

@inproceedings{GuanLZF21,
  title = {PoseGate-Former: Transformer Encoder with Trainable Gate for 3D Human Pose Estimation Using Weakly Supervised Learning},
  author = {Shannan Guan and Haiyan Lu and Linchao Zhu and Gengfa Fang},
  year = {2021},
  doi = {10.1007/978-3-030-92310-5_31},
  url = {https://doi.org/10.1007/978-3-030-92310-5_31},
  researchr = {https://researchr.org/publication/GuanLZF21},
  cites = {0},
  citedby = {0},
  pages = {266-274},
  booktitle = {Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI},
  editor = {Teddy Mantoro and Minho Lee 0001 and Media Anugerah Ayu and Kok Wai Wong and Achmad Nizar Hidayanto},
  volume = {1517},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-92310-5},
}