Scholar
Shu Kong
Google Scholar ID: sm9FdLoAAAAJ
Texas A&M University
Citations & Impact
Citations
3,052
H-index
24
i10-index
38
Publications
20
Co-authors
51
list available
Publications
Resume (English only)
Academic Achievements
- Published papers at ICCV'25 titled 'Attention to Burstiness: Low-Rank Bilinear Prompt Tuning', 'Information-Bottleneck Driven Binary Neural Network for Change Detection'; AVSS'25 titled 'Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval'; Paleobiology titled 'Addressing the Open World: Detecting and Segmenting Pollen on Palynological Slides with Deep Learning'; New Phytologist titled 'Pollen Morphology, Deep Learning, Phylogenetics, and the Evolution of Environmental Adaptations in Podocarpus'. Organized multiple Open-World Vision workshops and served as a reviewer or committee member for top conferences.
Research Experience
- Currently an Assistant Professor at the Faculty of Science and Technology, University of Macau, leading the Computer Vision Lab. Formerly an Assistant Professor in the Department of CSE at Texas A&M University.
Education
- Ph.D. from UC-Irvine, advised by Charless Fowlkes; Postdoc training at the Robotics Institute, CMU, working with Deva Ramanan.
Background
- Research Interests: Computer Vision and its interactions with other fields (e.g., ML, NLP, HCI, robotics, and graphics), broad applications (e.g., AR/VR and autonomous driving), and diverse disciplines (e.g., biology and paleoecology). Establishing the research topic of Open-World Vision, on which a previous paper was recognized for Best Paper / Marr Prize at ICCV 2021. Previous interdisciplinary research built a high-throughput pollen analysis system, which was featured by the National Science Foundation as opening a new era of fossil pollen research.
Miscellany
- Actively looking for self-motivated PhD students to join CIS, FST, University of Macau.
