U-shaped spatial–temporal transformer network for 3D human pose estimation-Reference-Cited by-同舟云学术

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U-shaped spatial–temporal transformer network for 3D human pose estimation

Published:2022-09-04 Issue:6 Volume:33 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Yang Honghong^ORCID,Guo Longfei,Zhang Yumei,Wu Xiaojun

Funder

National Natural Science Foundation of China

Young science and technology stars in Shaanxi Province

Young Talent fund of University Association for Science and Technology in Shaanxi

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-022-01334-6.pdf

Reference43 articles.

1. Zheng, C., Zhu, S., Mendieta, M., et al: 3D human pose estimation with spatial and temporal transformers. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 11656–11665 (2021)

2. Malik, Z., Shapiai, M.: Human action interpretation using convolutional neural network: a survey. Mach. Vis. Appl. 33(3), 1–23 (2022)

3. Moon, G., Lee, K.M.: I2l-meshnet: Image to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 752–768 (2020)

4. Pavlakos, G., Zhou, X., Daniilidis, K.: Ordinal depth supervision for 3D human pose estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7307–7316 (2018)

5. Chen, T., Fang, C., Shen, X., Zhu, Y., Chen, Z., Luo, J.: Anatomy-aware 3D human pose estimation with bone-based pose decomposition. IEEE Trans. Circuits Syst. Video Technol. 32(1), 198–209 (2022). https://doi.org/10.1109/TCSVT.2021.3057267

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