Cited by 235Human Pose and Action RecognitionHand Gesture Recognition SystemsHuman Motion and Animation

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Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

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Rao, Haocong, Xu, Shihao, Hu, Xiping, Cheng, Jun, Hu, Bin·2021·Information Sciences

DOI 10.1016/j.ins.2021.04.023

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Authors: Rao, H., Xu, S., Hu, X., Cheng, J., & Hu, B.
Affiliations: Chinese Academy of Sciences (CN)
Lanzhou University (CN)
Corresponding author: Hu, Xiping
Cheng, Jun
Hu, Bin
ORCID: Rao, Haocong
Xu, Shihao
Hu, Xiping
Cheng, Jun
Hu, Bin
Venue: Information Sciences
Publisher: Elsevier BV
Published: 2021-08
Volume: 569
Pages: 90-109
ISSN: 0020-0255 (ISSN-L)
DOI: 10.1016/j.ins.2021.04.023
OpenAlex: W3156509901
Cited by: 235
References: 57
Citations by year: 2026: 21 · 2025: 35 · 2024: 66 · 2023: 63 · 2022: 36 · 2021: 14
FWCI: 16.09
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Information Sciences (publishedVersion)
arXiv (Cornell University) (submittedVersion)
Lanzhou University Institutional Repository (submittedVersion, cc-by-nc-sa)
arXiv (Cornell University)
Funders: National Natural Science Foundation of China
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
Keywords: 3D skeleton data, contrastive learning

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