I am a Ph.D. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. I received my M.S. degree in Artificial Intelligence from KAIST and received my B.S. degree in Artificial Intelligence and Mechanical Engineering from SungKyunKwan University in 2022. My research lies at the intersection of 3D vision and embodied intelligence, with a particular interest in world models for autonomous driving and robotics. Building on my current work, I aim to develop models that can understand and predict the 3D structure of dynamic environments, enabling autonomous agents to reason about the physical world and act within it.

Contact

  • jmlee [at] kaist.ac.kr

  • 291 Daehak-ro, Yuseong-gu, Daejeon, Korea

Internship Experience

  • Research Intern, Robot Vision & Learning Team, NAVER Labs

    Nov. 2024 – May. 2025

Education

  • Ph.D in Computer Science, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2024 - Current

  • M.S. in Artificial Intelligence, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2022 - Feb. 2024

  • B.S. in Artificial Intelligence and Mechanical Engineering, SungKyunKwan University

    Sep. 2017 - Feb. 2022

News

  • [Mar 2024] One paper is accepted to CVPR 2026.
  • [May 2025] One paper is accepted to ICIP 2025 as a best student paper.
  • [Jun 2024] One paper is accepted to ECCV 2024.
  • [Jun 2024] I received a Ph.D fellowship from NRF(National Research Foundation) of Korea.
  • [Jun 2024] One paper is accepted to ICIP 2024.
  • [Mar 2024] One paper is accepted to CVPR 2024.
  • [Jun 2023] One paper is accepted to IPIU 2023 as an oral paper.

Publications

  • VERIA: Verification-Centric Multimodal Instance Augmentation for Long-Tailed 3D Object Detection

    Jumin Lee, Siyeong Lee, Namil Kim and Sung-Eui Yoon

  • visual-RRT: Finding Paths toward Visual-Goals via Differentiable Rendering

    Sebin Lee*, Jumin Lee*, Taeyeon Kim, Woobin Im, Youngju Na and Sung-Eui Yoon

    Computer Vision and Pattern Recognition (CVPR) 2026

  • Pose-free 3D Gaussian splatting via shape-ray estimation

    Youngju Na*, Taeyeon Kim*, Jumin Lee, Kyu Beom Han, Woo Jae Kim, and Sung-eui Yoon

    International Conference in Image Processing (ICIP) 2025

    Best Student Paper Award

    [Paper] [Code]

  • Regularizing Dynamic Radiance Fields with Kinematic Fields

    Woobin Im, Geonho Cha, Sebin Lee, Jumin Lee, Juhyeong Seon, Dongyoon Wee, and Sung-Eui Yoon

    European Conference on Computer Vision (ECCV) 2024

    [Paper] [Code]

  • Extending SAM into Auditory and Temporal Dimensions for Audio-Visual Segmentation

    Juhyeong Seon, Woobin Im, Sebin Lee, Jumin Lee, and Sung-Eui Yoon

    International Conference in Image Processing (ICIP) 2024

    [Paper] [Code]

  • SemCity: Semantic Scene Generation with Triplane Diffusion

    Jumin Lee*, Sebin Lee*, Changho Jo, Woobin Im, Juhyeong Seon, and Sung-Eui Yoon

    Computer Vision and Pattern Recognition (CVPR) 2024

    [Paper] [Code] [Project]

  • Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data

    Jumin Lee, Woobin Im, Sebin Lee, and Sung-Eui Yoon

    Image Processing and Image Understanding (IPIU) 2023

    Oral paper

    [Paper] [Code]

Awards & Honors

  • Winner, NRF Ph.D. Fellowship, National Research Foundation of Korea, 2024
  • Grand Prize Award, 35th Workshop on Image Processing and Image Understanding (IPIU), 2023