Donghyeon Kwon
I am a Researcher at GenGenAI, where I work on research and development for Generative AI systems while fulfilling my military obligation.
Before joining GenGenAI, I was a Ph.D. candidate in the Department of Computer Science and Engineering at POSTECH, where I conducted research in the Computer Vision Lab under the supervision of Prof. Suha Kwak. My research focused on data-efficient learning in computer vision and deep learning, with particular interests in multi-modal knowledge distillation, semi-supervised learning, self-supervised learning, and their practical applications.
My broader goal is to develop learning methods that remain effective under limited supervision and data constraints, making AI systems more scalable and applicable to real-world problems. I am interested in bridging rigorous research and practical impact through robust and efficient machine learning systems.
News
| Feb 13, 2026 | |
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| Dec 23, 2025 | |
| Oct 22, 2025 | |
| Jun 26, 2025 | 📝 Our paper on cross-modal distillation for 3D object detection is accepted to ICCV 2025. |
| Jan 23, 2025 | 📝 Our paper on domain-generalizable sementic segmentation is accepted to ICLR 2025. |
Experiences
| Mar, 2026 - Feb, 2027 | GenGenAI, Seoul, S.Korea. Researcher
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| Feb, 2021 - Feb, 2026 | Computer Vision Lab, POSTECH, Pohang, S.Korea Graduate Researcher
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| July, 2023 - Aug, 2023 | Samsung Advanced Institute of Technology, Suwon, S.Korea. Research Intern
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| Jun, 2019 - Aug, 2019 | Korea Institute of Science and Technology, Seoul, S.Korea. Research Assistant
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Education
| 2021 – 2026 | Ph.D. in Computer Science and Engineering Pohang University of Science and Technology (POSTECH), Pohang, South Korea Advisor: Prof. Suha Kwak Conducted research at Computer Vision Lab (CVLab) |
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| 2017 – 2021 | B.S. in Computer Science and Engineering Pohang University of Science and Technology (POSTECH), Pohang, South Korea Advisor: Prof. Hwanjo Yu |
Publications
2025
2024
2023
2022
Professional Services
Conference Reviewer
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Honors and Awards
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