MKE-GCN: Multi-Modal Knowledge Embedded Graph Convolutional Network for Skeleton-Based Action Recognition in the Wild

Sen Yang, Xuanhan Wang, Lianli Gao, Jingkuan Song. MKE-GCN: Multi-Modal Knowledge Embedded Graph Convolutional Network for Skeleton-Based Action Recognition in the Wild. In IEEE International Conference on Multimedia and Expo, ICME 2022, Taipei, Taiwan, July 18-22, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{YangWGS22,
  title = {MKE-GCN: Multi-Modal Knowledge Embedded Graph Convolutional Network for Skeleton-Based Action Recognition in the Wild},
  author = {Sen Yang and Xuanhan Wang and Lianli Gao and Jingkuan Song},
  year = {2022},
  doi = {10.1109/ICME52920.2022.9859787},
  url = {https://doi.org/10.1109/ICME52920.2022.9859787},
  researchr = {https://researchr.org/publication/YangWGS22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Conference on Multimedia and Expo, ICME 2022, Taipei, Taiwan, July 18-22, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8563-0},
}