Multi-stream mixed graph convolutional networks for skeleton-based action recognition-Reference-Cited by-同舟云学术

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Multi-stream mixed graph convolutional networks for skeleton-based action recognition

Published:2021-11-22 Issue:06 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Zhuang Boyuan¹,Kong Jun²,Jiang Min¹,Liu Tianshan³

Affiliation:

1. Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computatio

2. Jiangnan University, Ministry of Education, Key Laboratory of Advanced Process Control for Light Ind

3. Hong Kong Polytechnic University, Department of Electronics and Information Engineering, Hung Hom, K

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature difference and feature correlation learning mechanism for skeleton-based action recognition;Journal of Electronic Imaging;2023-01-30

2. Cross-domain fault diagnosis of rotating machinery based on graph feature extraction;Measurement Science and Technology;2022-11-28

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