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
Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation
Liao, S., & Mok, P. Y.* (2024, December). Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation. In 2024 IEEE International Conference on Data Mining (ICDM) (pp. 767-772). IEEE.
- 2024
Zero-shot sketch based image retrieval via modality capacity guidance
Zhou, Y., Liu, D., & Mok, P. Y.* (2024, August). Zero-shot sketch based image retrieval via modality capacity guidance. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI) (pp. 1780-1787).
- 2024
KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation
Jihua Peng, Yanghong Zhou, and P. Y. Mok*, KTPFormer: Kinematics and Trajectory Prior Knowledge-Enhanced Transformer for 3D Human Pose Estimation, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Jun 17-21 2024, Seattle WA, USA.
- 2024
SCNeRF: Feature-Guided Neural Radiance Field from Sparse Inputs
Junting Li, Yanghong Zhou, and P. Y. Mok*, SCNeRF: Feature-Guided Neural Radiance Field from Sparse Inputs, In Proceedings of the IEEE/CVF 51Conference on Computer Vision and Pattern Recognition (CVPR 2024), Jun 17-21 2024, Seattle WA, USA
- 2024
SP2F-GAN: Generating Seamless Texture Maps for Fashion
He, H., Sun, Z., Fan, J., & Mok, P. Y.* (2023), SP2F-GAN: Generating Seamless Texture Maps for Fashion, IADIS International Journal on Computer Science & Information Systems, 18(2).
- 2023
An Empirical Study on Consumer Preferences for Online Customised Clothing Platform
Ng, S. Y., & Mok, P. Y.* (2023), An Empirical Study on Consumer Preferences for Online Customised Clothing Platform, IADIS International Journal on Computer Science & Information Systems, 18(2).
- 2023
Development of an integrated body size table accommodating the diversity of body types and sizes of various countries
Zhang, X., Xie, N., Fan, J., & Mok, P. Y.* (2023). Development of an integrated body size table accommodating the diversity of body types and sizes of various countries. The Journal of The Textile Institute, 1-16.
- 2023
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
Personalized fashion outfit generation with user coordination preference learning
Ding, Y., Mok, P. Y.*, Ma, Y., and Bin, Y. (2023). Personalized fashion outfit generation with user coordination preference learning. Information Processing & Management, (Journal Impact Factor 8.6, Q1 11/158 in the category of ‘computer science, information systems’), 60(5), 103434.
- 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