Occlusion-Aware Graph Neural Networks for Skeleton Action Recognition-Reference-Cited by-同舟云学术

Occlusion-Aware Graph Neural Networks for Skeleton Action Recognition

Published:2023-10 Issue:10 Volume:19 Page:10288-10298
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Shi Wuzhen¹^ORCID,Li Dan¹,Wen Yang¹^ORCID,Yang Wu¹^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Guangdong Province Engineering Laboratory for Digital Creative Technology, Guangdong-Hong Kong Joint laboratory for Big Data Imaging and Communication, Shenzhen Key Laboratory of Digital Creative Technology, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10214691/10029897.pdf?arnumber=10029897

Reference33 articles.

1. Skeleton-Based Action Recognition With Directed Graph Neural Networks

2. Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition

3. Richly activated graph convolutional network for robust skeleton-based action recognition;song;IEEE Trans Circuits Syst Video Technol,2020

4. Part-based graph convolutional network for action recognition;thakkar;Proc Brit Mach Vis Conf,0

5. Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

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1. Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Fourier analysis on robustness of graph convolutional neural networks for skeleton-based action recognition;Computer Vision and Image Understanding;2024-03

3. Darkness-Adaptive Action Recognition: Leveraging Efficient Tubelet Slow-Fast Network for Industrial Applications;IEEE Transactions on Industrial Informatics;2024

4. Occluded Skeleton-Based Human Action Recognition with Dual Inhibition Training;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26