Curriculum Vitae

Taeho Kang

Ph.D. Candidate in Computer Science and Engineering, Seoul National University

I develop computer vision and graphics methods that let 3D content respond to the human body, for XR and interactive applications. My work spans egocentric full-body pose estimation from headset cameras, dynamic scene reconstruction with 4D Gaussian Splatting, and cross-view camera localization.

CV as of Oct 6, 2026.

Education

2021.03 – Present
Ph.D. in Computer Science and Engineering
Seoul National University · Seoul, Korea
Advisor: Prof. Youngki Lee · GPA 4.01 / 4.3
2017.03 – 2021.02
B.S. in Computer Science and Engineering
Seoul National University · Seoul, Korea
GPA 3.74 / 4.3

Publications

ECCV 2026
Taeho Kang, Nairan Zhang, Yelin Kim, Yujiao Shi, Youngki Lee
Oral & Award Candidate Work started at Amazon Paper Project
SIGGRAPH Asia 2025
Taeho Kang, Jaeyeon Park, Kyungjin Lee, Youngki Lee
CVPR 2024
SIGGRAPH Asia 2023
Sunmin Lee, Taeho Kang, Jungnam Park, Jehee Lee, Jungdam Won
SIGGRAPH Asia 2023
Taeho Kang, Kyungjin Lee, Jinrui Zhang, Youngki Lee

Honors & Awards

2026.09
ECCV 2026
One of 10 award candidates among 10,473 submissions (0.10%), for “Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring”
2024.06
Highlight Paper
CVPR 2024
For “Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting”
2021.02
Cum Laude
Seoul National University
B.S. in Computer Science and Engineering
2018.03 – 2019.12
Academic Excellence Scholarship
Seoul National University
Full-tuition waiver with honors (Spring 2019); partial-tuition waivers (Spring 2018, Fall 2018, Fall 2019)

Research Experience

2022.02 – Present
Graduate Researcher
Seoul National University · Human-Centered Computer Systems Lab · Seoul, Korea
Egocentric 3D pose estimation, dynamic scene reconstruction with 4D Gaussian Splatting, and cross-view localization.
2021.03 – 2022.01
Graduate Researcher
Seoul National University · Movement Research Lab · Seoul, Korea
Skeleton-agnostic motion embedding for character animation (SAME, SIGGRAPH Asia 2023).
2019.07 – 2019.08
UROP Research Intern
Seoul National University · Movement Research Lab · Seoul, Korea
Developed a mass-spring soft-body simulator for physically based animation.

Industry Experience

2024.07 – 2024.11
Applied Scientist Intern
Amazon (Last Mile team) · United States
Cross-view camera orientation estimation for navigation assistance; continued after the internship as LAYS (ECCV 2026 Oral).
2020.01 – 2020.12
Contract Software Developer
SAMATTI · Korea
Built a PyQt annotation tool for labeling garment images.
2017.12 – 2018.02
Research Intern
Hutom · Korea
Studied computer vision and deep learning models using OpenCV and Caffe, and simulation for robotic surgery assistance.

Service

2024.01 – Present
Reviewer
SIGGRAPH Asia 2024, CVPR 2025, ICCV 2025, NeurIPS 2025, ICLR 2026, ECCV 2026 (conferences); IMWUT 2025 (journal)

Skills

Programming
Python, C++, CUDA, PyTorch
Tools
Unreal Engine, OpenGL, PyQt