Jae-Woo Kim

Jae-Woo Kim

I'm a Ph.D. student at ACSL @ GIST AI, advised by Prof. Ue-Hwan Kim. My research interest is scene analysis (change detection & captioning) and machine learning for computer vision.

Email / Google Scholar / Semantic Scholar / LinkedIn / Github

Publications

*: Equal contributions

Published Papers

2025

Towards Generalizable Scene Change Detection
Jae-Woo Kim, Ue-Hwan Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 [code] [dataset]

2023

Adaptively Marginalizing Cosine Logits for Effectively Learning Deep Visual Place Representation in Loop Closure Detection
Jae-Woo Kim, Ue-Hwan Kim
International Conference on Robot Intelligence Technology and Applications (RiTA) 2023
Efficient Data Grouping for Large-Scale Visual Place Recognition Dataset
Jae-Woo Kim, Ue-Hwan Kim
International Conference on Robot Intelligence Technology and Applications (RiTA) 2023

Awards
Best Bachelor Thesis Award - GIST 2023
Selected as GIST College Presidential Scholarship - GIST 2023

Work Experience

GIST Autonomous Computing Systems Lab (ACSL)
Integrated Course (Mar 2023 - Present)
Advisor: Ue-Hwan Kim
GIST Autonomous Computing Systems Lab (ACSL)
Research Intern (Jan 2022 - Fab 2023)
Advisor: Ue-Hwan Kim

Education

Gwangju Institute of Science and Technology (GIST)
Ph.D. in AI Convergence (Aug 2023 - Present)
Advisor: Ue-Hwan Kim
Gwangju Institute of Science and Technology (GIST)
B.S. in Electrical Engineering and Computer Science (Mar 2017 - Aug 2023)

Academic Services

Reviewer

Computers and Electrical Engineering (2025)

This template is from Jon Barron.

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