Donghyeon Kwon

I am currently a 4th year Ph.D. candidate in the Department of Computer Science and Engineering at POSTECH, where I work 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. Specifically, I explore 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 can be achieved with limited data, enabling more scalable and accessible solutions in computer vision. I am passionate about leveraging these techniques to bridge the gap between cutting-edge research and real-world impact. If you’re interested in my research projects or potential collaborations, I’d be delighted to connect. Feel free to reach out—I’d love to hear from you!

News

Jan 21, 2025	Our paper on semi-supervised learning has been selected for an oral presentation at WACV 2025.
Oct 28, 2024	I got a Samsung Ph.D. Sponsorship (DS) from Samsung Advanced Institude of Technology (SAIT).
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.
Jul 03, 2023	I joined computer vision TU at Samsung Advanced Institude of Technology as a research intern.
Apr 25, 2023	📝 Our paper on test-time adaptation is accepted to ICML 2023.
Jan 14, 2023	Our paper on semi-supervised learning won the BK21 Best Paper Award from POSTECH CSE.
Mar 03, 2022	📝 Our paper on semi-supervised learning is accepted to CVPR 2022.

Experiences

July, 2023 - Aug, 2023	Samsung Advanced Institute of Technology, Suwon, S.Korea. Research Intern Conducted research on data-efficient 3D object detection for autonomous driving scenes. Mentor: Dr. Hyeongseok Son
Feb, 2021 - Present	Computer Vision Lab, POSTECH, Pohang, S.Korea Research and Teaching Assistant Advisor: Prof. Suha Kwak
Jun, 2019 - Aug, 2019	Korea Institute of Science and Technology, Seoul, S.Korea. Research Assistant Conducted research on typo correction for virtual keyboards. Advisor: Dr. Suhyun Kim

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.
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

Distilling LiDAR Knowledge into Memory for Camera-Only 3D Object Detection

Donghyeon Kwon, Youngseok Yoon, Hyeongseok Son, and Suha Kwak

Under review, 2025

Boosting Semi-supervised Video Action Detection with Temporal Context

Donghyeon Kwon, Inho Kim, and Suha Kwak

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Feb 2025

Awarded Bib

(Oral presentation)

@inproceedings{Kwon_2025_WACV,
  author = {Kwon, Donghyeon and Kim, Inho and Kwak, Suha},
  title = {Boosting Semi-supervised Video Action Detection with Temporal Context},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  month = feb,
  year = {2025},
}

2024

Self-Supervised Learning of Semantic Correspondence Using Web Videos

Donghyeon Kwon, Minsu Cho, and Suha Kwak

In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024

Bib HTML PDF

@inproceedings{Kwon_2024_WACV,
  author = {Kwon, Donghyeon and Cho, Minsu and Kwak, Suha},
  title = {Self-Supervised Learning of Semantic Correspondence Using Web Videos},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  month = jan,
  year = {2024},
  pages = {2142-2152},
}

2023

Leveraging Proxy of Training Data for Test-Time Adaptation

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, and Suha Kwak

In International Conference on Machine Learning (ICML), Jul 2023

Bib HTML PDF

@inproceedings{Kang_2023_ICML,
  author = {Kang, Juwon and Kim, Nayeong and Kwon, Donghyeon and Ok, Jungseul and Kwak, Suha},
  title = {Leveraging Proxy of Training Data for Test-Time Adaptation},
  booktitle = {International Conference on Machine Learning (ICML)},
  month = jul,
  year = {2023},
}

2022

Semi-Supervised Semantic Segmentation With Error Localization Network

Donghyeon Kwon, and Suha Kwak

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022

Bib HTML PDF

@inproceedings{Kwon_2022_CVPR,
  author = {Kwon, Donghyeon and Kwak, Suha},
  title = {Semi-Supervised Semantic Segmentation With Error Localization Network},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = jun,
  year = {2022},
}

Professional Services

Conference Reviewer

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - 2025
International Conference on Computer Vision (ICCV), 2023
European Conference on Computer Vision (ECCV), 2024
Conference on Neural Information Processing Systems (NeurIPS), 2023
International Conference on Learning Representations (ICLR), 2024 - 2025
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
AAAI Conference on Artificial Intelligence (AAAI), 2024
Asian Conference on Computer Vision (ACCV), 2022, 2024

Honors and Awards

Samsung Ph.D. Sponsorship (DS) from Samsung Advanced Institude of Technology (SAIT), 2024.
BK21 Best Paper Award from POSTECH CSE, 2023