Rethinking the ST-GCNs for 3D skeleton-based human action recognition

Author:

Peng Wei,Shi Jingang,Varanka Tuomas,Zhao Guoying

Funder

University of Oulu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference45 articles.

1. Deep learning;LeCun;Nature,2015

2. Ntu rgb+ d: A large scale dataset for 3d human activity analysis;Shahroudy;IEEE CVPR,2016

3. S. Song, C. Lan, J. Xing, W. Zeng, J. Liu, An end-to-end spatio-temporal attention model for human action recognition from skeleton data, in: Thirty-first AAAI, 2017.

4. View adaptive recurrent neural networks for high performance human action recognition from skeleton data;Zhang;IEEE ICCV,2017

5. InterpreTable 3d human action analysis with temporal convolutional networks;Kim;IEEE CVPR workshops,2017

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