A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition

Zelin Deng, Hao Zhou, Wei Ouyang, Pei He, Song Yun, Qiang Tang, Li Yu. A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition. In Biao Luo, Long Cheng 0001, Zheng-Guang Wu, Hongyi Li 0001, Chaojie Li, editors, Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part X. Volume 1964 of Communications in Computer and Information Science, pages 162-175, Springer, 2023. [doi]

@inproceedings{DengZOHYTY23,
  title = {A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition},
  author = {Zelin Deng and Hao Zhou and Wei Ouyang and Pei He and Song Yun and Qiang Tang and Li Yu},
  year = {2023},
  doi = {10.1007/978-981-99-8141-0_13},
  url = {https://doi.org/10.1007/978-981-99-8141-0_13},
  researchr = {https://researchr.org/publication/DengZOHYTY23},
  cites = {0},
  citedby = {0},
  pages = {162-175},
  booktitle = {Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part X},
  editor = {Biao Luo and Long Cheng 0001 and Zheng-Guang Wu and Hongyi Li 0001 and Chaojie Li},
  volume = {1964},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-8141-0},
}