Spatial-Temporal Hypergraph Neural Network based on Attention Mechanism for Multi-view Data Action Recognition-Reference-Cited by-同舟云学术

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Spatial-Temporal Hypergraph Neural Network based on Attention Mechanism for Multi-view Data Action Recognition

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Dependable Systems and Their Applications (DSA)
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Author:

Wu Zhixuan¹,Ma Nan²,Zhi Tao³,Xu Genbao²

Affiliation:

1. Beijing Union University,Beijing Key Laboratory of Information Service Engineering, College of Robotics,Beijing,China,100101

2. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

3. Yunji Technology,Beijing,China,100081

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10314134/10314123/10314124.pdf?arnumber=10314124

Reference35 articles.

1. Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

2. Hypergraph Neural Networks

3. Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition

4. Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

5. Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition

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