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.

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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

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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 submitted.

• 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.

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Research Projects

• Kakao Brain, Nov. 2021 - Now
  Efficient equivariant representation learning in deep neural networks

• Samsung Advanced Institute of Technology (SAIT), Nov. 2021 - Now
  Confidential

• Samsung Advanced Institute of Technology (SAIT), Nov. 2020 - Oct. 2021
  Motion-aware burst image enhancement in the extremely low-light situation

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Professional Services

• Reviewer of international conferences
  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
  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)

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Honors and Awards

• 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.

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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