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.
- Participated Projects
- Participated Publications
Computational Technologies for Fashion Recommendation: A Survey
Ding, Y., Lai, Z., Mok, P. Y., and Chua, T. S. (2023). Computational Technologies for Fashion Recommendation: A Survey, ACM Computing Surveys, (Journal Impact Factor: 16.6, Q1, 3/111 in the category of ‘computer science, theory and methods’) Vol. 56, Iss 5, Article No.: 121, pp 1–45.
- 2023
Modeling Multi-Relational Connectivity for Personalized Fashion Matching
Yujuan Ding, Mok, P. Y.*, Yi Bin, Xun Yang, Zhiyong Cheng (2023). Modeling Multi-Relational Connectivity for Personalized Fashion Matching, the 31st ACM International Conference on Multimedia (ACM MM2023), pp. 7047-7055, October 29 – November 3 2023, Ottawa, Canada.
- 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
Attention-aware anime line drawing colorization
Cao, Y., Tian, H., and Mok, P. Y.* (2023). Attention-aware anime line drawing colorization. IEEE International Conference on Multimedia and Expo (ICME 2023), pp. 1637-1642, Brisbane. Australia, 10-14 July 2023. (no. of citation=2)
- 2023
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.
- 2023
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)
- 2023
A Review of Blockchain Technology for Sustainable Fashion
Ng Sin-Ying and Mok P.Y., A Review of Blockchain Technology for Sustainable Fashion, Digital Fashion Innovations: Advances in Design, Simulation, and Industry. CRC Press (Taylor and Francis) – Textile Institute Professional Publication Series, Chapter 10, pp 179-204, 2023, Book Chapter.
- 2023
Investigation of Full Body Skin Surface Variations under Dynamic Poses
Xie, Ningrong and Mok, P. Y.* (2022). Investigation of Full Body Skin Surface Variations under Dynamic Poses, International Journal of Industrial Ergonomics, (Journal Impact Factor 3.1, Q3 9/16 in the category of ‘ergonomics’), Vol. 87, 103237.
- 2022
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