Jeongin Kim

I am a graduate student at Ewha Womans University. I am advised by Professor Junhyug Noh, as a member of Practical AI Lab (PAI Lab). Prior to my graduate studies, I earned a bachelor's degree in Electronic Engineering.

My research focuses on weakly-supervised learning and uncertainty quantification for image segmentation under limited supervision.

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Research
project image Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, Junhyug Noh
Conference on Neural Information Processing Systems (NeurIPS), 2025
arXiv / Code

We propose a two-stage active learning pipeline for semantic segmentation under extremely low labeling budgets, which leverages a pre-trained diffusion model for diverse feature extraction and introduces an uncertainty score to select the most informative pixels for annotation.


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