Learning Representations by Contrastive Spatio-temporal Clustering for Skeleton-based Action Recognition-Reference-Cited by-同舟云学术

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Learning Representations by Contrastive Spatio-temporal Clustering for Skeleton-based Action Recognition

Published:2023 Issue: Volume: Page:1-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wang Mingdao¹^ORCID,Li Xueming²,Chen Siqi¹^ORCID,Zhang Xianlin²^ORCID,Ma Lei³,Zhang Yue²^ORCID

Affiliation:

1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

2. School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/10227565.pdf?arnumber=10227565

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. Skeleton action recognition via graph convolutional network with self-attention module;Electronic Research Archive;2024

2. Research on gesture recognition algorithm based on MME-P3D;Mathematical Biosciences and Engineering;2024

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