Glimpse and Zoom: Spatio-Temporal Focused Dynamic Network for Skeleton-Based Action Recognition-Reference-Cited by-同舟云学术

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Glimpse and Zoom: Spatio-Temporal Focused Dynamic Network for Skeleton-Based Action Recognition

Published:2024-07 Issue:7 Volume:34 Page:5616-5629
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Zhao Zhifu¹^ORCID,Chen Ziwei²^ORCID,Li Jianan³^ORCID,Wang Xiaotian¹^ORCID,Xie Xuemei¹^ORCID,Huang Lei²,Zhang Wanxin²,Shi Guangming⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, Xidian University, Xi’an, China

2. School of Artificial Intelligence, Guangzhou Research Institute, Xidian University, Xi’an, China

3. School of Computer Science and Technology, Xidian University, Xi’an, China

4. Peng Cheng Laboratory, Shenzhen, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Young Scientists Fund of the National Natural Science Foundation of China

Guangzhou Key Laboratory of Scene Understanding and Intelligent Interaction

Guangdong Provincial Key Field Research and Development Plan Project

Science and Technology Program of Guangzhou, China

Guangzhou Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10415064.pdf?arnumber=10415064

Reference68 articles.

1. Integrating perceptual and cognitive modeling for adaptive and intelligent human-computer interaction

2. Robot-centric activity prediction from first-person videos: What will they do to me?;Ryoo

3. A Survey of Human Action Analysis in HRI Applications

4. On-line simultaneous learning and recognition of everyday activities from virtual reality performances

5. Going deeper into action recognition: A survey

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. A Spatio-temporal Graph Transformer driven model for recognizing fine-grained data human activity;Alexandria Engineering Journal;2024-10

2. ASMGCN: Attention-Based Semantic-Guided Multistream Graph Convolution Network for Skeleton Action Recognition;IEEE Sensors Journal;2024-06-15

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