Interactive Spatiotemporal Token Attention Network for Skeleton-Based General Interactive Action Recognition
Author:
Affiliation:
1. Sun Yat-sen University,Shenzhen,China,518107
2. Tencent Technology (Shenzhen) Co., Ltd.,China
3. Shenzhen Graduate School, Peking University,Key Laboratory of Machine Perception,Shenzhen,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342472.pdf?arnumber=10342472
Reference34 articles.
1. Organization and Understanding of a Tactile Information Dataset TacAct For Physical Human-Robot Interaction
2. Hybrid Graph Convolutional Networks for Skeleton-Based and EEG-Based Jumping Action Recognition
3. Image-based clothes changing system
4. Understanding Spatio-Temporal Relations in Human-Object Interaction using Pyramid Graph Convolutional Network
5. Let’s Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
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