Hyuk Kwon
I am a Ph.D. student at Yonsei University Machine Learning Lab, under the guidance of Prof. Kibok Lee. My research focuses on how visual models learn and adapt across diverse tasks and settings, and how to evaluate their performance and reliability. Since real-world data rarely matches what a model was trained on, I am especially interested in how models handle this gap and how we can tell whether they will still work. Recently, my interests have expanded to world models and physical AI.
Research interests: Open-world learning · Vision-language models · (Automatic) model evaluation · World models · Physical AI
Email / GitHub / LinkedIn / Google Scholar / CV
📰 News
- Sep 2026 Joined Ludo Robotics (Seoul) as a Research Intern!
- Mar 2026 One paper accepted to CVPR 2026!
- Oct 2025 Our ICCV 2025 paper was selected as a Best Paper Award Candidate!
- Jul 2025 One paper accepted to ICCV 2025 as an oral presentation!
💼 Work Experience
📝 Publications
* equal contribution
Hyuk Kwon, Jaebyeong Jeon, Hyeonseo Jang, Kibok Lee
Preprint
arXiv
Hyeonseo Jang, Hyuk Kwon, Kibok Lee
CVPR 2026
arXiv
Seungju Yoo, Hyuk Kwon, Joong-Won Hwang, Kibok Lee
ICCV 2025 (Oral) Best Paper Award Candidate
arXiv
Seongheon Park*, Hyuk Kwon*, Kwanghoon Sohn, Kibok Lee
CVPR Workshops 2024
arXiv