Hi! I'm Seungyoon Woo, a Ph.D. student in Graduate School of AI at Seoul National university, advised by Gunhee Kim. My primary research interest lies in Computer Vision, currently focusing on 3D Vision and Lifelong Learning.

Recent News!

Our paper "Meta-Continual Learning of Neural Fields" was accepted in ICLR 2025!

Publications

Meta-Continual Learning of Neural Fields

Seungyoon Woo, Junhyeog Yun, Gunhee Kim. ICLR 2025

This work addresses Meta-Continual Learning of Neural Fields (MCL-NF), a novel framework that combines modular architecture with optimization-based meta-learning to enhance the continual learning of neural fields. The framework employs Fisher Information Maximization Loss to optimize learning generalization and resource efficiency, particularly in resource-constrained environments.

Education

M.S/Ph.D in Graduate School of AI (2022.9 - )

Seoul National University

Advisor: Gunhee Kim

B.S. in Computer Science Engineering (2017.3 - 2022.2)

Hanyang University

GPA: 4.0/4.5