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Sebin Lee

Ph.D. Candidate

School of Computing, KAIST


I am a Ph.D. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. My research spans embodied AI, robotics, and 3D vision, aiming to build intelligent systems that perceive, reason, and act in complex environments.

Research Interests

  • Embodied AI and Robot Foundation Models

    vision-language-action models, world models

  • 3D Vision and Scene Generation

    semantic scenes, depth, optical flow

  • Neural/Differentiable Rendering

    dynamic radiance fields, deformable Gaussian splatting

Contact

  • seb.lee [at] kaist.ac.kr

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

Education

  • Ph.D. in Computer Science

    KAIST, Advisor: Sung-Eui Yoon

    Mar. 2022 - Present

  • M.S. in Robotics Program

    KAIST, Advisor: Sung-Eui Yoon

    Mar. 2020 - Feb. 2022

  • B.S. in Automotive Engineering

    Hanyang University

    Mar. 2013 - Feb. 2020

    Military service: 2017-2019

  • Incheon Science High School

    Incheon Science High School

    Mar. 2011 - Feb. 2013

Publications

  • MorphGS overview

    MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos

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

    European Conference on Computer Vision (ECCV) 2026

    *Equal contribution

    [Paper] [Code] [Project]

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

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

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

    *Equal contribution

    Highlight paper

    [Paper] [Project]

  • CLaD: Planning with Grounded Foresight via Cross-Modal Latent Dynamics

    Andrew Jeong, Jaemin Kim, Sebin Lee, and Sung-Eui Yoon

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

    Highlight paper

    [Paper] [Project]

  • CrossTrack-UAV: A Real-World Dataset and Baseline for Cross-View Multi-Object Tracking using Fixed-Wing UAVs

    Chungsu Jang, Youngjung Kim, Sebin Lee, Wonsuk Kwon, Tae Hyun Kim, Yong-Duk Kim, and Sung-Eui Yoon

    IEEE Robotics and Automation Letters (RA-L) 2026

    [Paper]

  • Beyond the Patch: Exploring Vulnerabilities of Visuomotor Policies via Viewpoint-Consistent 3D Adversarial Object

    Chanmi Lee, Minsung Yoon, Woo Jae Kim, Sebin Lee, and Sung-Eui Yoon

    IEEE International Conference on Robotics and Automation (ICRA) 2026

    [Paper] [Project]

  • SemCity: Semantic Scene Generation with Triplane Diffusion

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

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

    *Equal contribution

    [Paper] [Code] [Project]

  • LiDAR-camera Online Calibration by Representing Local Feature and Global Spatial Context

    SeongJoo Moon, Sebin Lee, Dong He, and Sung-Eui Yoon

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024

    [Paper]

  • 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 Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation

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

    International Conference on Image Processing (ICIP) 2024

    [Paper] [Code]

  • CCTV-Informed Human-Aware Robot Navigation in Crowded Indoor Environments

    Mincheul Kim, Youngsun Kwon, Sebin Lee, and Sung-Eui Yoon

    IEEE Robotics and Automation Letters (RA-L) 2024

    [Paper]

  • Multi-Resolution Distillation for Self-Supervised Monocular Depth Estimation

    Sebin Lee, Woobin Im, and Sung-Eui Yoon

    Pattern Recognition Letters (PR-L) 2023

    [Paper]

  • 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

    Best Paper Award

    [Paper] [Code]

  • Semi-Supervised Learning of Optical Flow by Flow Supervisor

    Woobin Im, Sebin Lee, and Sung-Eui Yoon

    European Conference on Computer Vision (ECCV) 2022

    [Paper] [Code] [Video]

  • Dynamic Humanoid Locomotion Over Rough Terrain With Streamlined Perception-Control Pipeline

    Moonyoung Lee, Youngsun Kwon, Sebin Lee, JongHun Choe, Junyong Park, Hyobin Jeong, Yujin Heo, Min-su Kim, Jo Sungho, Sung-Eui Yoon, and Jun-Ho Oh

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

    [Paper]

  • Self-Supervised Visual Odometry via Frame Interpolation

    Sebin Lee, Woobin Im, and Sung-Eui Yoon

    Korea Robotics Society Annual Conference (KRoC) 2021

    [Paper]

Awards & Honors

  • College of Engineering Master's and Ph.D. Venture Research Program, KAIST, 2025
  • Best Paper Award, KAIST, 2024
  • Winner, NRF Ph.D. Fellowship, National Research Foundation of Korea, 2024
  • Grand Prize Award, 35th Workshop on Image Processing and Image Understanding (IPIU), 2023
  • Full Tuition Scholarship, Hanyang University, 2013-2020