About me
I’m Saejin Kim, a Ph.D. student in Computer Science and Engineering at Seoul National University, working with Prof. Youngjae Yu in SNU PI Lab. I previously completed my master’s degree in Artificial Intelligence at Yonsei University.
My research focuses on multimodal reasoning and visual evidence. One question connects much of my work: when a model gives an answer, what did it actually see, and how did that evidence shape its reasoning? I study this question across images, documents, and videos, with the goal of making multimodal models more reliable and their reasoning easier to examine.
Selected publications
View all →* Equal contribution · ^ Corresponding author
Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
Education
Seoul National University
PhD student · Computer Science and Engineering
SNU PI Lab
Yonsei University
M.S. in Artificial Intelligence
Multimodal Intelligence Research Lab · Advisor: Youngjae Yu
Yonsei University
B.E. in Computer Science
Experience
Research Intern
Upstage
Multimodal Document Understanding
Application Engineer Intern
Neurocle
Deep learning model performance analysis and optimization.