cv

CV as of Dec 18, 2025.

Table of contents

Basics

Name Taeho Kang
Label Ph.D. Candidate
Email tho.kang.7@gmail.com
Url https://tho-kn.github.io
Summary I am interested in innovating the XR experience. To contribute to this, I am building CV approaches that enable the reconstruction and generation of 3D content. I worked on human pose estimation with egocentric cameras and dynamic 3D scene reconstruction. My research goal is to enable people to fully express themselves in the XR in the way they want to express themselves.

Education

  • 2021.03 - Present

    Seoul, Korea
    Ph.D. Student
    Seoul National University
    Computer Science and Engineering
    • Advisor: Youngki Lee
  • 2017.03 - 2021.02

    Seoul, Korea
    Undergraduate Student
    Seoul National University
    Computer Science and Engineering
    • Cum Laude

Publications

Research

  • 2022.02 - Present
    Research Student
    Seoul National University · Seoul, Korea
    Human-Centered Computer Systems Lab
    Conducting research on 3D computer vision for human scene understanding.
  • 2021.03 - 2022.01
    Research Student
    Seoul National University · Seoul, Korea
    Movement Research Lab
    Conducted research on computer graphics, particularly human motion.
  • 2019.07 - 2019.08
    UROP Research Intern
    Seoul National University · Seoul, Korea
    Movement Research Lab
    Worked on a soft-body simulation model based on mass-spring systems for physically-based animation.

Work

  • 2024.07 - 2024.11
    Applied Scientist Intern
    Amazon.com Services LLC · United States
    Conducted research on computer vision models for navigation assistance.
  • 2020.01 - 2020.12
    Contract Software Developer
    SAMATTI · Korea
    Developed a custom garment annotation tool using PyQt to streamline data labeling processes.
  • 2017.12 - 2018.02
    Intern
    Hutom · Korea
    Participated in a project that involved organ simulations and deep learning-based for surgical assistance systems.

Volunteer

  • 2024.01 - Present
    Reviewer
    Academic Conferences
    SIGGRAPH Asia 2024
    CVPR 2025
    ICCV 2025
    IMWUT 2025 February
    NeurIPS 2025
    ICLR 2026

Skills

Research Interests
Egocentric Human-Scene Interaction
Scene Reconstruction & Manipulation
Data-Driven and Physically-based Character Animation & Motion Synthesis
Technical Skills
Deep Learning & Vision: PyTorch, Python, C++, CUDA, 3D Geometry
Graphics & Simulation: Unreal Engine, OpenGL, Gaussian Splatting
Research Engineering: Motion Capture Pipeline Automation, Custom Annotation Tool Development (PyQt)