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JongMin Lee

Machine Learning &
Computer Vision Reasercher

Languages

  • Korean (Native)
  • English (Professional)

About Theme

Interests

  • Image Matching
  • Visual Localization
  • Structure-from-Motion (SfM)
  • Object Pose Estimation
  • Neural Rendering
  • Depth Estimation & Completion

Education

Combined MS/PhD student in Computer Science & Engineering

2021.03 - 2026.02
Seoul National University

Bachelor in Computer Science & Engineering

2016.03 - 2021.02
Seoul National University

Experiences

Spatial AI Team @ Naver Labs Korea

2025.07 - 2025.12
Visiting Researcher

I worked at Naver Labs focusing on research in Depth Completion on ERP image (panorama).

Spatial AI Team @ Naver Labs Korea

2023.01 - 2023.09
Intern

I worked at Naver Labs under the supervision of Jerome Revaud, focusing on research in localization, specifically Scene Coordinate Regression and Object Pose Estimation. Under his great guidance, our work was accepted at CVPRW 2024 and AAAI 2024!

CMALAB @ Seoul National University

2021.03 - 2026.02
MS/PhD Student

Primarily focused on Visual Localization and 3D Reconstruction.

CMALAB @ Seoul National University

2020.06 - 2021.02
Research Intern

Primarily focused on Depth Estimation.

Publications

  • Dense-SfM: Structure from Motion with Dense Consistent Matching

    • JongMin Lee, Sungjoo Yoo

    CVPR 2025

  • MFOS: Model-Free & One-Shot Object Pose Estimation

    • JongMin Lee, Yohann Cabon, Romain BrĂ©gier, Sungjoo Yoo, Jerome Revaud

    AAAI 2024

  • SACReg: Scene-Agnostic Coordinate Regression for Visual Localization

    • Jerome Revaud, Yohann Cabon, Romain BrĂ©gier, JongMin Lee, Philippe Weinzaepfel

    CVPRW 2024

  • Multi-Scale Local Implicit Keypoint Descriptor for Keypoint Matching

    • JongMin Lee, Eunhyeok Park, Sungjoo Yoo

    CVPRW 2023