Author:
Mei Guangyu,Cao Zhongping,Wang Guoli,Guo Xuemei
Publisher
Springer Nature Singapore
Reference13 articles.
1. Li, S., Yi, J., Farha, Y.A., Gall, J.: Pose refinement graph convolutional network for skeleton-based action recognition. IEEE Rob. Autom. Lett. 6(2), 1028–1035 (2021)
2. Liu, R., Shen, J., Wang, H., Chen, C., Cheung, S.C., Asari, V.: Attention mechanism exploits temporal contexts: real-time 3D human pose reconstruction. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5063–5072 (2020)
3. Zhai, K., Nie, Q., Ouyang, B., Li, X., Yang, S.: Hopfir: Hop-wise graphformer with intragroup joint refinement for 3d human pose estimation (2023). arXiv preprint arXiv:2302.14581
4. Yu, X.: Exploiting the joint motion synergy with fusion network based on transformer for 3d human pose estimation (2022). arXiv preprint arXiv:2210.04006
5. Zhao, L., Peng, X., Tian, Y., Kapadia, M., Metaxas, D.N.: Semantic graph convolutional networks for 3D human pose regression. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3420–3430 (2019)
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