PENG Jihua
PhD Graduate, 2024
Jihua's research focus is on both Human pose estimation and Deep learning.
Focus on research topic: Deep Learning-based 3D Human Pose Estimation and Its Application on Animated Personalised Avatars
- PhD
- 01/01/2021 - 31/12/2023
- Participated Projects
- Participated Publications
A cross-feature interaction network for 3D human pose estimation
Peng, J., Zhou, Y., & Mok, P. Y.* (2025). A cross-feature interaction network for 3D human pose estimation. Pattern Recognition Letters.
- 2025
EHFusion: an efficient heterogeneous fusion model for group-based 3D human pose estimation
Peng, J., Zhou, Y., & Mok, P. Y.* (2024). EHFusion: an efficient heterogeneous fusion model for group-based 3D human pose estimation. The Visual Computer, 1-23.
- 2024
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
Jihua Peng, Yanghong Zhou, and P. Y. Mok*, KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Jun 17-21 2024, Seattle WA, USA.
- 2024
Balanced Feature Fusion for Grouped 3D Pose Estimation
Jihua Peng, Yanghong Zhou and Mok, P. Y.*, Balanced Feature Fusion for Grouped 3D Pose Estimation. International Conference in Central Europe on 53Computer Graphics, Visualization and Computer Vision, 2022.
- 2022
3D pose estimation by grouped feature fusion and motion amplitude encoding
Jihua Peng, Yanghong Zhou and Mok, P. Y.*, 3D pose estimation by grouped feature fusion and motion amplitude encoding, 16th International Conferences Computer Graphics, Visualization, Computer Vision and Image Processing, 2022.
- 2022