Jongmin Lee

I am a graduate student in a Ph.D. program in the Computer Science Engineering department (CSE) at POSTECH, South Korea. My primary research interest is in learning visual correspondence and its applications. I am also interested in equivariant representation learning and burst image enhancement/restoration. I am a member of the computer vision lab. in POSTECH, under supervision of Professor Minsu Cho.

Research Interests

Image Matching (Visual Corrspondence)
Semantic Correspondence
Wide-Baseline Matching
Deep Local Feature Extraction
Self-Supervised Learning
Equivariant Representation Learning
Extremely Low-Light Image Enhancement
Burst Image Enhancement/Restoration

Publications

Multiply Degraded Burst Image Enhancement via Robust Base Frame Selection
Jongmin Lee, Sanghyun Kim, Min Jung Lee, Minsu Cho, in submitted.
Learning Rotation-Equivariant Features for Visual Correspondence
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho, in CVPR 2023.
Self-Supervised Equivariant Learning for Oriented Keypoint Detection [code]
Jongmin Lee, Byungjin Kim, Minsu Cho, in CVPR 2022.
Self-supervised Learning of Image Scale and Orientation Estimation [code]
Jongmin Lee, Yoonwoo Jeong, Minsu Cho, in BMVC 2021.
Learning to Distill Convolutional Features Into Compact Local Descriptors [code]
Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho, in WACV 2021.
Learning to Compose Hypercolumns for Semantic Visual Correspondence [code]
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho, in ECCV 2020.
SPair-71k: A Large-scale Benchmark for Semantic Correspondence [dataset]
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho, in ArXiv 2019.
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features [code] [dataset]
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho, in ICCV 2019.
Attentive Semantic Alignment with Offset-Aware Correlation Kernels [code]
Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho, in ECCV 2018.

Research Projects

Kakao Brain, Nov. 2021 - Now
Efficient equivariant representation learning in deep neural networks
Samsung Advanced Institute of Technology (SAIT), Nov. 2022 - Now
Confidential
Samsung Advanced Institute of Technology (SAIT), Nov. 2021 - Now
Burst image enhancement in an extremely degraded environment by noise, blur and shift.
Samsung Advanced Institute of Technology (SAIT), Nov. 2020 - Oct. 2021
Motion-aware burst image enhancement in the extremely low-light situation.

Professional Services

Reviewer of international conferences
International Conference on Computer Vision (ICCV) 2023
International Conference on 3D Vision (3DV) 2022
European Conference on Computer Vision (ECCV) 2022
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2023
British Machine Vision Conference (BMVC) 2021
Winter Conference on Applications of Computer Vision (WACV) 2021, 2022, 2023
International Conference on Machine Vision Applications (MVA) 2021
International Conference on Pattern Recognition (ICPR) 2020
Reviewer of international journals
The Visual Computer (2022)
Pattern Recognition (2022)
IEEE Transactions on Image Processing (2022, 2023)

Honors and Awards

BK21 outstanding paper award, POSTECH CSE , 2022.
Global Ph.D fellowship, National Research Foundation of Korea (NRF), 2019 – Now.
POSTECH CSE research award (2nd place), Undergraduate Research Program, POSTECH Computer Science Engineering Department, 2018.
SK Hynix scholarship, SK Hynix Fellowship Program, POSTECH, 2015.

Education

Pohang University of Science and Technology (POSTECH), Pohang, Korea (Sep 2018 – now)
- Ph.D Student, Department of Computer Science and Engineering
- Advisor: Prof. Minsu Cho
Graz University of Technology (TU Graz), Graz, Austria (Sep 2016 – Feb 2017)
- Visiting Student
Pohang University of Science and Technology (POSTECH), Pohang, Korea (Mar 2013 – Aug 2018)
- B.S., Department of Industrial and Management Engineering
- B.S., Department of Computer Science and Engineering
- Double Major