Chi-Keung Tang
Also known as Chi–Keung Tang, Chi Keung Tang, 鄧智強
Chi-Keung Tang is a computer vision researcher whose work spans interactive image editing, image matting, and language-model-based motion generation. He earned computer science degrees at CUHK, HKUST, and USC before joining HKUST's faculty in 2000. He coauthored Lazy Snapping and KNN Matting; his student Jia Chen won a CVPR award for a camera-shake deblurring paper, and Tang became a Fellow of the Institute of Electrical and Electronics Engineers during 2018–2019. As of October 2026, he is a professor at HKUST and coauthors video-segmentation research.
- Works
- 266
- Citations
- 14,365
- h-index
- 61
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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1992–2000
Computer science degrees
He earns a BS in computer science at the Chinese University of Hong Kong in 1992 and an MPhil at HKUST in 1994. At USC, he earns an MSc in 1999 and a PhD in 2000 under Gerard Medioni.
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2000–2005
HKUST faculty appointments
He joins HKUST's Computer Science Department as an assistant professor in 2000 and becomes an associate professor in 2005. He also starts as an adjunct researcher in Microsoft Research Asia's Visual Computing Group in 2000.
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2004
The Lazy Snapping tool
In 2004, he coauthors Lazy Snapping, an interactive image-cutout tool. Its segmentation combines graph cuts with precomputed oversegmentation and gives users instant feedback on object boundaries.
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2008
A CVPR deblurring award
His student Jia Chen wins CVPR's Best Student Poster Award for Robust Dual Motion Deblurring, a method that removes camera-shake blur from digital photos.
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2013
KNN Matting
In 2013, he coauthors KNN Matting with Qifeng Chen and Dingzeyu Li. The method applies nearest neighbors in nonlocal neighborhoods to alpha matting and extracts multiple image layers.
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2018–2019
An IEEE Fellowship
During 2018–2019, he is elected a Fellow of the Institute of Electrical and Electronics Engineers.
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2025
Motion-Agent at ICLR
In 2025, he coauthors Motion-Agent at ICLR, a framework for human-motion generation, editing, and understanding. MotionLLM maps motion to language-model tokens, while GPT-4 supports multi-turn conversational generation.
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As of October 2026
Professor at HKUST
He becomes a professor in HKUST's Department of Computer Science and Engineering in 2009 and holds that post in 2026. In 2026, he coauthors CoT-RVS, a zero-shot chain-of-thought paper on video segmentation.
Career
- Since 2000Hong Kong University of Science and TechnologyAssistant Professor, Associate Professor
- From 2000Microsoft Research AsiaAdjunct Researcher
Education
- 2000University of Southern CaliforniaPhD
- 1999University of Southern CaliforniaMSc
- 1994Hong Kong University of Science and TechnologyMPhil
- 1992Chinese University of Hong KongBS in computer science
Sources and credits
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- Chi Keung Tang's CV
- Lazy Snapping - Microsoft Research
- Research Papers Win Awards at Prestigious Conferences | HKUST CSE
- KNN matting - The Hong Kong University of Science and Technology Research Portal
- HKUST Annual Report 2018-19
- Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
- Faculty Profiles - Chi Keung TANG | The Hong Kong University of Science and Technology
- Chi-Keung TANG | HKUST CSE


