About Me

Donghyeon Kwon

Ph.D candidate in the Department of Computer Science and Engineering at POSTECH, currently on an integrated M.S. & Ph.D. program.

My research interests include label-efficient learning, especially in semi-/self-/webly-supervised learning and knowledge distillation. I am a member of the Computer Vision Lab at POSTECH and working under Prof. Suha Kwak, who is my academic advisor.

You can find my Curriculum Vitae here.

News

Nov, 2023 📝 Our paper on self-supervised learning using web videos is accepted to WACV 2024.
Jun, 2023 I joined computer vision TU at Samsung Advanced Institude of Technology (SAIT) as a research intern.
Apr, 2023 📝 Our paper on test-time adaptation is accepted to ICML 2023.
Jan, 2023 :trophy: Our paper on semi-supervised semantic segmentation won the BK21 Best Paper Award from POSTECH CSE.
Mar, 2022 📝 Our paper on semi-supervised semantic segmentation is accepted to CVPR 2022.

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

  1. Self-Supervised Learning of Semantic Correspondence Using Web Videos
    Donghyeon Kwon, Minsu Cho and Suha Kwak
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
    Paper Code Website
  2. Leveraging Proxy of Training Data for Test-Time Adaptation
    Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok and Suha Kwak
    International Conference on Machine Learning (ICML), 2023
    Paper Code Website
  3. Semi-supervised Semantic Segmentation with Error Localization Network
    Donghyeon Kwon and Suha Kwak
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Paper Code Website

Experience

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

Professional Services

Conference Reviewer
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 2024
  • 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
  • AAAI Conference on Artificial Intelligence (AAAI), 2024
  • Asian Conference on Computer Vision (ACCV), 2022

Honors and Awards

  • BK21 Best Paper Award, POSTECH CSE, 2023