Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition

Author:

Bai Ruwen1,Li Min1,Meng Bo2,Li Fengfa1,Jiang Miao1,Ren Junxing1,Sun Degang3

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China

2. Beijing Institute of Technology,Beijing,China

3. School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Reference16 articles.

1. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

2. Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding;liu;IEEE Trans-actions on Pattern Analysis and Machine Intelligence,2019

3. Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

4. Actional-structural graph convolutional net-works for skeleton-based action recognition;li;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,0

5. Skeleton-Based Action Recognition With Shift Graph Convolutional Network

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