Localization and recognition of human action in 3D using transformers

Author:

Sun JiankaiORCID,Huang Linjiang,Wang Hongsong,Zheng Chuanyang,Qiu JianingORCID,Islam Md TauhidulORCID,Xie Enze,Zhou Bolei,Xing LeiORCID,Chandrasekaran Arjun,Black Michael J.

Publisher

Springer Science and Business Media LLC

Reference78 articles.

1. Lee, I., Kim, D. & Lee, S. 3-d human behavior understanding using generalized ts-lstm networks. IEEE Trans. Multimed. 23, 415–428 (2020).

2. Devanne, M.3d human behavior understanding by shape analysis of human motion and pose. Ph.D. thesis, Université Lille 1-Sciences et Technologies (2015).

3. Ortega, B. P. & Olmedo, J. M. J. Application of motion capture technology for sport performance analysis. Retos: nuevas tendencias en educacion fisica, deporte y recreacion 241–247 (2017).

4. Kanazawa, A., Black, M. J., Jacobs, D. W. & Malik, J. End-to-end recovery of human shape and pose. In Computer Vision and Pattern Recognition (CVPR) (2018).

5. Huang, Y. et al. Towards accurate marker-less human shape and pose estimation over time. In 2017 international conference on 3D vision (3DV), 421–430 (IEEE, 2017).

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