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
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.
- Journal
A Part-Based Deep Neural Network Cascade Model for Human Parsing
Zhou, Y., Mok, P. Y.*, and Zhou, S. (2019) A Part-Based Deep Neural Network Cascade Model for Human Parsing. IEEE Access, (Journal Impact Factor 3.9, Q2 73/158 in the category of ‘computer science, information systems’), 7, 160101-160111.
- Journal
Collaboration reasoning or social heuristics? Value proposition validity in omnium-gatherum business models
To K.M., Yee, R.W.Y., Mok, P. Y., Chau, K.P., Wong, Carrie, Cheung, N.M. (2018), Collaboration reasoning or social heuristics? Value proposition validity in omnium-gatherum business models, Journal of Business Research, (Journal Impact Factor 11.3, Q1 14/154 in the category of ‘business’) 88, 550-559.
- Journal
Precise shape estimation of dressed subjects from two-view image sets
P.Y. Mok and Shuaiyin Zhu. Precise shape estimation of dressed subjects from two-view image sets, Calvin Wong (Ed.) Applications of Computer Vision in Fashion and Textiles, Elsevier, Chapter 11, pp 273-292, 2018, Book Chapter.
- Book
Investigation on Human Body Movements and the Resulting Body Measurement Variations
Ningrong Xie and P.Y. Mok, Investigation on Human Body Movements and the Resulting Body Measurement Variations, Advances in Physical Ergonomics & Human Factors, Ravindra S. Goonetilleke and Waldemar Karwowski Eds. Volume 602 of the Advances in Intelligent Systems and Computing series, Springer International Publishing AG, pp 387-399, 2018, Book Chapter.
- Book
A New Design Concept: 3D to 2D Textile Pattern Design for Garments
Shufang Lu, Mok, P. Y.*, and X. Jin (2017) A New Design Concept: 3D to 2D Textile Pattern Design for Garments, Computer-Aided Design, (Journal Impact Factor 4.3, Q1 24/108 in the category of ‘computer science, software engineering’)89: 35-49.
- Journal
Web-based design support system for fashion technical sketches
Jie Xu, Mok, P. Y.*, R.W.Y. Yee, and C.W.M. Yuen (2016) web-based design support system for fashion technical sketches, International Journal of Clothing Science and Technology, (Journal Impact Factor 1.2, Q3 15/26 in the category of ‘materials science, textiles’) 28(1): 130 -160.
- Journal
Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations
P.Y. Mok, J. Xu and Y.Y. Wu, Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations, In Tsan-Ming Choi (Ed.) Information Systems for the Fashion and Apparel Industry, Chapter 9, pp. 163-198, Woodhead Publishing, United Kingdom, 2016. Book Chapter.
- Book
Predicting realistic and precise human body models under clothing based on orthogonal-view photos
Shuaiyin Zhu and Mok, P. Y.* (2015). Predicting realistic and precise human body models under clothing based on orthogonal-view photos, Procedia Manufacturing, (Journal Impact Factor 0.855, Q3, Journal discontinued as of 2022) 3: 3812-3819.
- Journal
Shape deformation using skeleton correspondences for realistic posed fashion flat creation
X.M. Wan, Mok, P. Y.*, and X. Jin (2014). Shape deformation using skeleton correspondences for realistic posed fashion flat creation, IEEE Transactions on Automation Science and Engineering, (Journal Impact Factor 5.6, Q1 10/65 in the category of ‘automation & control systems’) 11(2): 409-420.
- Journal