Scholar
Hyunwoo J. Kim
Google Scholar ID: LfBoJt8AAAAJ
Korea Advanced Institute of Science & Technology (KAIST)
Citations & Impact
Citations
4,581
H-index
27
i10-index
53
Publications
20
Co-authors
39
list available
Publications
Resume (English only)
Academic Achievements
- Published papers at leading AI venues such as CVPR, ICCV, ECCV, NeurIPS, and ICML. Received KCCV test-of-time award. Multiple papers accepted at ICLR 2025 and ECCV 2024 as oral presentations. Involved in projects like [IITP x Google x MLV x KAIST] Multilingual Personalized AI Tutors (2024-2027) and [한계도전 R&D 프로젝트: CLIMECAST] Extreme Weather Forecasting (2024-2027).
Research Experience
- Leads the Machine Learning and Vision Lab (MLV) at Korea Advanced Institute of Science & Technology (KAIST), previously led his lab at Korea University, and worked at Amazon Lab126 in Sunnyvale, California.
Education
- Earned a Ph.D. in Computer Sciences from the University of Wisconsin-Madison in 2017, with a minor in Statistics, under the supervision of Dr. Vikas Singh; Completed an internship at the Machine Learning Analytics Team at Amazon in Seattle, Washington, in 2013.
Background
- Research interests include machine learning and computer vision, particularly advancing high-level visual perception (e.g., video foundation models, video question answering, and video-language models) and accelerating scientific discovery (e.g., understanding and generating multimodal scientific data). Worked at Amazon Lab126 and earned a Ph.D. from the University of Wisconsin-Madison.
Miscellany
- Openings for postdoctoral researchers, graduate students, and undergraduate interns.
