Donghyeon Kwon

I am a 5th-year Ph.D. candidate in the Department of Computer Science and Engineering at POSTECH, working in the Computer Vision Lab under the supervision of Prof. Suha Kwak. My research focuses on advancing data-efficient methods in computer vision and deep learning, particularly in areas such as multi-modal knowledge distillation, semi- and self-supervised learning, and their practical applications.
My work aims to push the boundaries of what is possible with limited data, enabling more scalable and accessible solutions in computer vision. I am passionate about bridging the gap between cutting-edge research and real-world impact through these techniques. If you’re interested in my research projects or potential collaborations, I’d be happy to connect—feel free to reach out!
News
Jan 23, 2025 | 📝 Our paper on domain-generalizable sementic segmentation is accepted to ICLR 2025. |
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Jan 21, 2025 | ![]() |
Oct 28, 2024 | ![]() |
Aug 31, 2024 | 📝 Our paper on semi-supervised learning is accepted to WACV 2025. |
Oct 20, 2023 | 📝 Our paper on self-supervised learning using web videos is accepted to WACV 2024. |
Experiences
July, 2023 - Aug, 2023 | Samsung Advanced Institute of Technology, Suwon, S.Korea. Research Intern
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Feb, 2021 - Present | Computer Vision Lab, POSTECH, Pohang, S.Korea Research and Teaching Assistant
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Jun, 2019 - Aug, 2019 | Korea Institute of Science and Technology, Seoul, S.Korea. Research Assistant
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Education
Feb, 2021 - Present | Pohang University of Science and Technology (POSTECH), Pohang, South Korea Integrated M.S. & Ph.D. Student in Computer Science and Engineering Advisor: Prof. Suha Kwak. Currently working at POSTECH Computer Vision Lab. |
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Feb, 2017 - Feb, 2021 | Pohang University of Science and Technology (POSTECH), Pohang, South Korea B.S in Computer Science and Engineering Advisor: Prof. Hwanjo Yu. |
Publications
2025
2024
2023
2022
Professional Services
Conference Reviewer
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Honors and Awards
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