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Assistant Professor
Computer Science and Engineering
Korea University
sangmin-lee [at] korea.ac.kr
I am an Assistant Professor in CSE at Korea University, leading Pixel Lab. Previously, I was an Assistant Professor at Sungkyunkwan University. Before that, I was a Postdoctoral Researcher at the University of Illinois Urbana–Champaign (advisor: James M. Rehg), and was also affiliated with the Georgia Institute of Technology. I received my Ph.D. from KAIST (advisor: Yong Man Ro) and B.S. from Yonsei University.
My research interests lie in expanding machine capabilities through multimodal perception, minimal supervision, and social intelligence. I investigate multimodal learning to comprehensively leverage visual, language, audio, and other sensory signals for holistic reasoning. I also explore self-supervised learning to effectively derive feature representations even from weakly-labeled or unlabeled data. Building on these foundations, my current research focuses on developing socially intelligent machines that can understand and interact with humans in diverse social contexts seamlessly.
Research Interests
Multimodal Learning
- Vision / Language / Audio / Physiological SignalsSelf-supervised Learning
- Weakly-labeled / Unlabeled DataSocial Artificial Intelligence
- Social Perception / GenerationExperience
Korea University, Seoul, South Korea (Sep 2025 - Present)
Assistant Professor, Department of Computer Science and EngineeringSungkyunkwan University (SKKU), Seoul, South Korea (Sep 2024 - Aug 2025)
Assistant Professor, Department of Aplied Artificial Intelligence / School of ConvergenceGeorgia Institute of Technology (Georgia Tech), GA, United States (Oct 2023 - Aug 2024)
Affiliated Researcher, School of Interactive ComputingUniversity of Illinois Urbana-Champaign (UIUC), IL, United States (May 2023 - Aug 2024)
Postdoctoral Researcher, Department of Computer Science Advisor: Prof. James M. RehgEducation
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea (2023)
Ph.D. in Electrical Engineering Advisor: Prof. Yong Man RoYonsei University, Seoul, South Korea (2017)
B.S. in Electrical & Electronic EngineeringAwards & Honors
CVPR Highlights (3 Papers, Top 4% each) (2025)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)BMVC Outstanding Reviewer (2024)
- British Machine Vision Conference (BMVC)CVPR Oral Presentation (Top 0.8%) (2024)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)1st Place Winner of Ad-hoc Video Search Competition (2022)
- 11th Video Browser Showdown (International Challenge)CVPR Oral Presentation (Top 4%) (2021)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Samsung HumanTech Paper Award, Honor Prize ($2,000) (2021)
- Samsung ElectronicsOutstanding Project Selection (2020)
- Institute of Information & communications Technology Planning & Evaluation (IITP)Outstanding TA Award (2 Times) (2019, 2020)
- Korea Advanced Institute of Science and Technology (KAIST)ICIP Best Paper Finalist (Top 1%) (2019)
- IEEE International Conference on Image Processing (ICIP)ICIP Top 10% Paper Selection (2019)
- IEEE International Conference on Image Processing (ICIP)National Government Fellowship (2017 - 2023)
- Government of South KoreaProfessional Activities
Organizer
(ICCV 2025) Artificial Social Intelligence Workshop (ICLR 2025) Workshop on AI for Children (ECCV 2024) Artificial Social Intelligence WorkshopReviewer
Conference: CVPR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH, MICCAI, etc. Journal: TIP, IJCV, TNNLS, TCSVT, TVCG, TMM, PR, etc.Google Sites
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