Scholar
Kaiyue Pang
Google Scholar ID: kR3zzeUAAAAJ
SketchX, CVSSP, University of Surrey
Citations & Impact
Citations
1,026
H-index
15
i10-index
17
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Contributed to a survey article on how sketch research has transformed fine-grained visual analysis, accepted by TPAMI'21.
Research Experience
- Researcher at SketchX, aiming at better understanding of human sketch data and how such insight can benefit computer vision and cognitive science.
Education
- Defended PhD at Queen Mary University of London in 2020, advised by Prof. Yi-Zhe Song and Prof. Tao Xiang. Received a Bachelor's Degree (First Class Honours) from the Sino-UK Joint Programme between Beijing University of Posts and Telecommunications and Queen Mary University of London in 2016, delivering the valedictory speech to the class of 2016.
Background
- Interested in combining advances in machine learning with insights from computer vision, domain-specific knowledge, and human practice. Particularly invested in computational modeling of human sketch data to explain human seeing by drawing. A strong advocate for human-centered AI.
Miscellany
- Starts the day with coffee; enjoys neo-classic (piano) music, watching Nature/Wildlife documentaries (e.g., BBC Earth).
Co-authors