Home > Staffs 2025 > 01 Team members > ZHOU Yanghong
Dr. ZHOU Yanghong
Deputy Team Leader, Research Assistant Professor at PolyU
staff description
Business development for computer aided fashion intelligence and marketing/design for computer aided fashion intelligence
- Participated Projects
It seems we can’t find what you’re looking for.
- Participated Publications
Unbiased feature position alignment for human pose estimation
Wang, C., Zhou, Y., Zhang, F., and Mok, P. Y.* (2023). Unbiased feature position alignment for human pose estimation. Neurocomputing, (Journal Impact Factor 6.0, Q2 49/192 in the category of ‘computer science, artificial intelligence’), 537, 152-163.
- 2023
Enhancing human parsing with region‐level learning. IET Computer Vision
Zhou, Yanghong, and Mok, P. Y.* (2023) Enhancing human parsing with region‐level learning. IET Computer Vision. (Journal Impact Factor 1.7, Q3 in the category of ‘engineering, electrical & electronic’)
- 2023
SGDiff: A Style Guided Diffusion Model for Fashion Synthesis
Zhengwentai Sun, Yanghong Zhou, Honghong HE, Mok, P. Y.* (2023). SGDiff: A Style Guided Diffusion Model for Fashion Synthesis, the 31st ACM International Conference on Multimedia (ACM MM2023), pp. 8433-8442, October 29 – November 3 2023, Ottawa, Canada. (no. of citation=1)
- 2023
A Pose-Aware Global Representation Network for Human Parsing
Zhou, Yanghong and Mok, P. Y.* (2022) A Pose-Aware Global Representation Network for Human Parsing. IEEE Transactions on Circuits and Systems for Video Technology, (Journal Impact Factor 8.4, Q1 25/352 in the category of ‘engineering, electrical & electronic’), 33(4), 1710-1724.
- 2022
Modeling Field-Level Factor Interactions for Fashion Recommendation
Yujuan DING, Mok, P. Y.*, Xun Yang, and Yanghong Zhou (2022). Modeling Field-Level Factor Interactions for Fashion Recommendation, IEEE International Conference on Multimedia and Expo (ICME 2022), pp 1-6, July 18-22 2022, Taipei, Taiwan. (no. of citation = 4)
- 2022
Pose-aware segmentation-based landmarks localization for fashion
He, H., Zhou, Y., Fan, J, & Mok, P. Y.*, Pose-aware segmentation-based landmarks localization for fashion, 2022 International Conference on Clothing and Textiles, May 26-27, 2022, Seoul, Korea.
- 2022
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
Detection of Fashion Landmarks Based on Human Paring and Pose Estimation
He, H., Zhou, Y., Fan, J, and Mok, P. Y.*, Detection of Fashion Landmarks Based on Human Paring and Pose Estimation, 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, 2022.
- 2022
Fashion recommendations through cross-media information retrieval
Zhou, W., Mok, P. Y., Zhou, Y., Zhou, Y., Shen, J., Qu, Q., and Chau, K. P. 44(2019), Fashion recommendations through cross-media information retrieval. Journal of Visual Communication and Image Representation, (Journal Impact Factor 2.6, Q2 49/108 in the category of ‘computer science, software engineering’) 61, 112-120.
- 2019