Spatial-temporal Transformer For Skeleton-based Action Recognition-Reference-Cited by-同舟云学术

Spatial-temporal Transformer For Skeleton-based Action Recognition

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
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Author:

Zhang Qipeng¹,Wang Tian²,Zhang Mengyi³,Liu Kexin¹,Shi Peng⁴,Snoussi Hichem⁴

Affiliation:

1. Beihang University,School of Automation Science and Electrical Engineering,Beijing,China

2. Beihang University,Institute of Artificial Intelligence,Beijing,China

3. Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China

4. Fujian Normal University,School of Mathematics and Computer Science,Fujian,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728206.pdf?arnumber=9728206

Reference15 articles.

1. Hierarchical recurrent neural network for skeleton based action recognition;du;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

2. Data-driven prognostic method based on self-supervised learning approaches for fault detection

3. Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition

4. Classifying and visualizing motion capture sequences using deep neural networks;cho;Proceedings of International Conference on Computer Vision Theory and Applications,2014

5. Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram

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