Sohyun Lee

Integrated M.S. & Ph.D. student in the Computer Vision Lab at POSTECH.

SohyunLee.png

Room#302, B2,

Chungam-Ro 77, POSTECH,

Pohang, Gyeongbuk,

South Korea 37673

I am a graduate student in the Graduate School of Artificial Intelligence integrated M.S. & Ph.D. program at POSTECH. I am a member of the Computer Vision Lab at POSTECH, advised by Prof. Suha Kwak. Previously, I completed my B.S. in Mechanical Engineering at POSTECH.

My research interests lie in computer vision and deep learning. I’ve worked on the robust recognition in adverse visual conditions, domain adaptation, and generalization. If you are interested in my research projects, please feel free to contact me by clicking one of the icons below.

News

Jun 21, 2022 :trophy: Our paper on foggy scene segmentation is selected as one of the best paper finalists in CVPR 2022.
Mar 3, 2022 📝 Two papers (including one oral paper) are accepted to CVPR 2022.
Dec 1, 2020 :trophy: I won the POSTECH Creative Self-Research Scholarship.

Education

Sep, 2020 - Present Pohang University of Science and Technology (POSTECH), Pohang, South Korea
Integrated M.S. & Ph.D. Student in Artificial Intelligence
Advisor: Prof. Suha Kwak.
Mar, 2015 - Aug, 2020 Pohang University of Science and Technology (POSTECH), Pohang, South Korea
B.S in Mechanical Engineering
Advisor: Prof. Junsuk Rho.

Publications

  1. FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
    Sohyun Lee, Taeyoung Son, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recogntiion (CVPR), 2022
    (Oral Presentation, Best Paper Finalist, 33/8161=0.4% Accept. rate)
  2. Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
    Juwon Kang,  Sohyun Lee, Namyup Kim, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recogntiion (CVPR), 2022

Professional Services

Reviewer
  • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
  • Asian Conference on Computer Vision (ACCV), 2022
  • European Conference on Computer Vision (ECCV), 2022
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Honors and Awards

POSTECH Creative Self-Research Scholarship, 2020 ($5,000)
  • Research Topic: Unsupervised domain adaptation for semantic segmentation
Gold Prize at IPIU Best Paper Award, 2022
  • Research Topic: Active Domain Adaptation