Welcome to contact us!

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
It seems we can’t find what you’re looking for.

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.

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’)

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)

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.

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)

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.

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.

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.

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.

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.