Skeleton-Embedded Network for action recognition-Reference-Cited by-同舟云学术

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Skeleton-Embedded Network for action recognition

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Luo Li¹,Ren Ziliang¹,Qin Yong¹,Zhang Qieshi²,Gao Xiangyang²

Affiliation:

1. Dongguan University of Technology,Department of Computer Science,Dongguan,China,52300

2. Chinese Academy of Sciences,CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology,Shenzhen,China,518055

Funder

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249208/10249018/10249677.pdf?arnumber=10249677

Reference24 articles.

1. 3D skeleton based action recognition by video-domain translation-scale invariant mapping and multi-scale dilated CNN

2. ECO: Efficient Convolutional Network for Online Video Understanding

3. A New Representation of Skeleton Sequences for 3D Action Recognition

4. Tsm: Temporal shift module for efficient video understanding;ji;2019 IEEE/CVF International Conference on Computer Vision (ICCV),2019

5. SkeleMotion: A New Representation of Skeleton Joint Sequences based on Motion Information for 3D Action Recognition

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