Prof. MOK Tracy

Team Leader

Tracy is the brain behind all the researches here. She oversees, gives direction and advices to all the researchers. With the vision of bringing digital and technological reformation to the fashion industry, Tracy keeps bringing in inspiring perspectives and turning them into powerful tools and applications for fashion.

Prof. MOK Tracy

Team Leader

Tracy is the brain behind all the researches here. She oversees, gives direction and advices to all the researchers. With the vision of bringing digital and technological reformation to the fashion industry, Tracy keeps bringing in inspiring perspectives and turning them into powerful tools and applications for fashion.

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.

Efficient and Effective Detection of Repeated Pattern from Fronto-Parallel Images with Unknown Visual Contents

Qu, H., Zhou, Y., Mok, P. Y., Flatz, G., & Li, L. (2025). Efficient and Effective Detection of Repeated Pattern from Fronto-Parallel Images with Unknown Visual Contents. Signals, 6(1), 4.

Content Decoupled and Enhanced GAN for Sketch-guided Flexible Fashion Editing

Sun, Z., Zhou, Y., & Mok, P. Y.* (2025). CoDE-GAN: Content Decoupled and Enhanced GAN for Sketch-guided Flexible Fashion Editing. ACM Transactions on Multimedia Computing, Communications and Applications.

Blockchain-Driven Innovation in Fashion Supply Chain Contractual Party Evaluations As An Emerging Collaboration Model

Qiao, M., Chen, X., Zhou, Y., & Mok, P. Y.* (2025). Blockchain-Driven Innovation in Fashion Supply Chain Contractual Party Evaluations As An Emerging Collaboration Model. Blockchain: Research and Applications, 100266.

Incorporating mobile body measuring technology into online marketplace platforms: a qualitative study from fashion SMEs perspective

Ng, S. Y., & Mok, P. Y.* (2025). Incorporating mobile body measuring technology into online marketplace platforms: a qualitative study from fashion SMEs perspective. The Journal of The Textile Institute, 1-10.

Feature Field Fusion for few-shot novel view synthesis

Li, J., Zhou, Y., Fan, J., Shou, D., Xu, S., & Mok, P. Y.* (2025). Feature Field Fusion for few-shot novel view synthesis. Image and Vision Computing, 42105465.

TiPGAN: High-Quality Tileable Textures Synthesis with Intrinsic Priors for Cloth Digitization Applications

He, Honghong, Sun Zhenwentai, Fan Jintu, & Mok, P. Y.* (2025) TiPGAN: High-Quality Tileable Textures Synthesis with Intrinsic Priors for Cloth Digitization Applications, Computer Aided Design

Computer-aided Colorization State-of-the-science: A Survey.

Cao, Y., Duan, X., Meng, X., Mok, P. Y., Li, P., & Lee, T. Y.* (2025). Computer-aided Colorization State-of-the-science: A Survey. IEEE Transactions on Visualization and Computer Graphics.Computer-aided Colorization State-of-the-science: A Survey.

Colour, layout, and fashion: generating aesthetically pleasing vector patterns for fashion design

Colour, layout, and fashion: generating aesthetically pleasing vector patterns for fashion design

Use of facial features and related technologies in the fashion industry: A survey

Use of facial features and related technologies in the fashion industry: A survey