Human Action Recognition Based on Graph Convolution Spatio-temporal Fusion Attention Mechanism-Reference-Cited by-同舟云学术

Human Action Recognition Based on Graph Convolution Spatio-temporal Fusion Attention Mechanism

Published:2022-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
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Author:

Jiao Xuming¹^ORCID,Qi Yunsong¹^ORCID

Affiliation:

1. Jiangsu University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573428.3573705

Reference20 articles.

1. Skeleton-based action recognition via spatial and temporal transformer networks

2. Yan S , Xiong Y , Lin D. Spatial temporal graph convolutional networks for skeleton-based action recognition [C]// Thirty-second AAAI conference on artificial intelligence . 2018 . Yan S, Xiong Y, Lin D. Spatial temporal graph convolutional networks for skeleton-based action recognition [C]// Thirty-second AAAI conference on artificial intelligence. 2018.

3. Peng W , Hong X , Chen H , [C]// Proceedings of the AAAI Conference on Artificial Intelligence. 2020 , 34(03): 2669 - 2676 . Peng W, Hong X, Chen H, [C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(03): 2669-2676.

4. Li B , Li X , Zhang Z , Spatio-temporal graph routing for skeleton-based action recognition [C]// Proceedings of the AAAI Conference on Artificial Intelligence . 2019 , 33(01): 8561-8568. Li B, Li X, Zhang Z, Spatio-temporal graph routing for skeleton-based action recognition [C]// Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33(01): 8561-8568.

5. An attention enhanced graph convolutional lstm network for skeleton-based action recognition [C]//;Si C;Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.