Achievements
Learning together, growing steadily, achieving quietly
- Fundings
- Patents
- Awards
- Licenses
- Trademark
- Applications
- Publications
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.
- Publications
- Publications
Intelligent product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system
Wong, W.K., Leung, S.Y.S., Guo, Z.X., Zeng, Z.H., and Mok, P.Y., Intelligent 50product cross-selling system in fashion retailing using radio frequency identification (RFID) technology, fuzzy logic and rule-based expert system, In .K. Wong, Z.X. Guo and S.Y.S. Leung (Eds.), Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI), Chapter 10, pp. 196-224, Woodhead Publishing, 2013. Book chapter.
Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory
WONG W.K., KWONG C.K., MOK P.Y. and IP W.H., Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory. In W.K. Wong, Z.X. Guo and S.Y.S. Leung (Eds.), Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI), Chapter 7, pp.132-152, Woodhead Publishing, 2013. Book chapter.
Optimizing apparel production systems using genetic algorithms
Wong, W.K., Mok, P.Y., Leung, S.Y.S., Optimizing apparel production systems using genetic algorithms, In .K. Wong, Z.X. Guo and S.Y.S. Leung (Eds.), Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI), Chapter 8, pp. 153-169, Woodhead Publishing, 2013. Book chapter.
Analysis of lower limb measurements in running progress for high-performance slacks design
Y.J. Wang, P.Y. Mok, Y. Li, and Y.L. Kwok, Analysis of lower limb measurements in running progress for high-performance slacks design, In W. Karwowski and G. Salvendy (Eds.) Advances in Human Factors, Ergonomics, and Safety in Manufacturing and Service Industries, Chapter 22, pp. 210-221, CRC Press, 2010. Book Chapter.
- Publications
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)
DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition
Tian, H., Cao, Y., and Mok, P. Y.* (2023) DETR-based Layered Clothing Segmentation and Fine-Grained Attribute Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), pp. 3534-3538, Jun 18-22 2023, Vancouver, Canada.
Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility
Liao, S., Ding, Y., and Mok, P. Y.* (2023) Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility. In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval (ACM ICMR 2023), pp. 560-564, 12 – 15 June 2023, Thessaloniki, Greece. (no. of citation=2)
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)
- Publications