Transforming spatio-temporal self-attention using action embedding for skeleton-based action recognition

Author:

Ahmad Tasweer,Rizvi Syed Tahir Hussain,Kanwal NeelORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference71 articles.

1. J.-F. Hu, W.-S. Zheng, J. Lai, J. Zhang, Jointly learning heterogeneous features for RGB-D activity recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 5344–5352.

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

3. Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding;Liu;IEEE Trans. Pattern Anal. Mach. Intell.,2019

4. LSTM with bio inspired algorithm for action recognition in sports videos;Chen;Image Vis. Comput.,2021

5. Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network;Si;Pattern Recognit.,2020

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