Advancing Multi-actor Graph Convolutions for Skeleton-Based Action Recognition

Yiqun Zhang, Zhenyu Qin, Yang Liu, Tom Gedeon, Wu Song. Advancing Multi-actor Graph Convolutions for Skeleton-Based Action Recognition. In Martin Clayton, Mauro Passacantando, Marcello Sanguineti, editors, Intelligent Technologies for Interactive Entertainment - 14th EAI International Conference, INTETAIN 2023, Lucca, Italy, November 27, 2023, Proceedings. Volume 560 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 76-95, Springer, 2023. [doi]

@inproceedings{ZhangQLGS23,
  title = {Advancing Multi-actor Graph Convolutions for Skeleton-Based Action Recognition},
  author = {Yiqun Zhang and Zhenyu Qin and Yang Liu and Tom Gedeon and Wu Song},
  year = {2023},
  doi = {10.1007/978-3-031-55722-4_7},
  url = {https://doi.org/10.1007/978-3-031-55722-4_7},
  researchr = {https://researchr.org/publication/ZhangQLGS23},
  cites = {0},
  citedby = {0},
  pages = {76-95},
  booktitle = {Intelligent Technologies for Interactive Entertainment - 14th EAI International Conference, INTETAIN 2023, Lucca, Italy, November 27, 2023, Proceedings},
  editor = {Martin Clayton and Mauro Passacantando and Marcello Sanguineti},
  volume = {560},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-031-55722-4},
}