I am a second year Ph.D candidate in the SketchX Research Lab , Computer Vision Group at Queen Mary University of London, co-supervised by Dr. Yi-Zhe Song and Dr. Tao Xiang. My reserach interest includes computer vision and machine learning, especially focusing on understanding human sketches, and how such understanding can be transferred into commercial applications.

Before joining the SketchX Research Lab , I graduated from the joint program between Beijing University of Posts and Telecommunications and Queen Mary University of London, with a first-class B.S. on Internet of Things in July 2016, where I'm honored to be the valedictorian-elect for the class of 2016.


Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval

Kaiyue Pang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales.
British Machine Vision Conference (BMVC), 2017
Paper Poster



Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Tao Xiang, Honggang Zhang.
IEEE Transactions on Image Processing (TIP), Sep 2017, in press
PDF



Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes

Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy M. Hospedales, Honggang Zhang, Yichuan Hu.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 (Oral)
Paper Poster Slide