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 for invariant feature extraction. I am a member of the computer vision lab. in POSTECH, under supervision of Professor Minsu Cho.

---

Research Interests

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

---

Industry Experience

• Meta Reality Labs., Burlingame, California, U.S.A.
  • Ph.D Research Scientist Intern, Jul 2023 ~ Oct 2023
    • Manager: Survi Kyal, Mentor: Fengting Yang
    • Succeeded to achieve KPIs of Eye Tracking production model of Arcata project (XR Eyes)
    • Improved gaze estimation accuracy in production model of Meta Quest using a single POR camera through invariant feature learning for a personalized, explainable ML Eyes

• Vuno Inc., Seoul, South Korea.
  • Front-end Developer, Jun 2017 ~ Aug 2017
    • Developed the client/front-end interface for an AI-based software for diagnosis of major abnormalities from a chest X-ray.

---

Publications

• Base Frame Selection on Dynamically Exposed Burst [code]
  Min Jung Lee, Jongmin Lee, Sanghyun Kim, Sunghyun Cho, Minsu Cho, in IPIU 2024.

• Learning Rotation-Equivariant Features for Visual Correspondence [code]
  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 - Jul. 2023
  Efficient equivariant representation learning in deep neural networks.

• Samsung Advanced Institute of Technology (SAIT), Nov. 2022 - Jul. 2023
  Non-uniformly exposed burst image restoration using robust base frame selector.

• Samsung Advanced Institute of Technology (SAIT), Nov. 2021 - Oct. 2022
  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
  Computer Vision and Pattern Recognition (CVPR) 2022, 2023, 2024
  International Conference on Machine Learning (ICML) 2024
  International Conference on Learning Representations (ICLR) 2024
  Neural Information Processing Systems (NeurIPS) 2023
  International Conference on Computer Vision (ICCV) 2023
  European Conference on Computer Vision (ECCV) 2022, 2024
  Asian Conference on Comoputer Vision (ACCV) 2024
  International Conference on 3D Vision (3DV) 2022
  British Machine Vision Conference (BMVC) 2021
  Winter Conference on Applications of Computer Vision (WACV) 2021, 2022, 2023, 2024
  International Conference on Machine Vision Applications (MVA) 2021, 2023
  International Conference on Pattern Recognition (ICPR) 2020

• Reviewer of international journals
  IEEE Transactions on Pattern Analysis and Machine Intelligence (2023, 2024)
  International Journal of Computer Vision (2023, 2024)
  IEEE Transactions on Image Processing (2022, 2023)
  Pattern Recognition (2022, 2023)
  The Visual Computer (2022)

---

Honors and Awards

• Qualcomm innovation fellowship Korea finalist, Qualcomm Technologies Inc. , 2023.

• 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