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QU Hong, Zoe

PhD Graduate, 2023. Currently Postdoc, Hong Kong Industrial Artificial Intelligence & Robotics (FLAIR), HK

Zoe was focusing on the research project on the Intelligent Systems for Digital Pattern Analysis and Design Support. Her research lied in the areas of Fashion CAD and Machine Learning. She was interested in digital pattern analysis and learning-based design support tasks with minimal annotated data.

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QU Hong, Zoe

PhD Graduate, 2023. Currently Postdoc, Hong Kong Industrial Artificial Intelligence & Robotics (FLAIR), HK

Zoe was focusing on the research project on the Intelligent Systems for Digital Pattern Analysis and Design Support. Her research lied in the areas of Fashion CAD and Machine Learning. She was interested in digital pattern analysis and learning-based design support tasks with minimal annotated data.

Role in the team

Publications

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.

  • Journal

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

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

  • Journal submission

Intelligent system embedding design rules for vector-based textile pattern generation

Hong Qu and Mok, P. Y.*, Intelligent system embedding design rules for vector-based textile pattern generation, 2023 ITAA-KSCT Joint Symposium, ITAA Annual Conference, Nov 8-11, 2023, Baltimore, Maryland, USA.

  • Conference

Detection of Repeated Patterns with CNN Activations and Similarity Matching

Qu, H., Chau, K. P., & Mok, P. Y.* Detection of Repeated Patterns with CNN Activations and Similarity Matching, International Conference on Clothing and Textiles, May 26-27, 2022, Seoul, Korea., 2022.

  • Conference

Design Elements Extraction Based on Unsupervised Segmentation and Compact Vectorization

Qu, H., Chau, K. P., and Mok, P. Y.*, Design Elements Extraction Based on Unsupervised Segmentation and Compact Vectorization, 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing, 2022.

  • Conference