Sungjae Lee (이성재)

I am an M.S. student in the Machine Learning and Vision Group at POSTECH GSAI, under the supervision of Prof. Kwang-In Kim. I received my bachelor's degree in Biomedical Engineering from Gachon University. My current research focuses on the intersection of computer vision and robotic manipulation, with particular emphasis on robotic grasping and the application of commonsense knowledge.

My primary research interests include robotic object manipulation, large language models, and medical AI applications. I am also open to exploring other emerging areas within artificial intelligence and robotics.

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Research and publications

graspcorrect
GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
Sungjae Lee*, Yeonjoo Hong*, Kwang In Kim
arXiv preprint, 2025
arXiv

A plug-and-play module designed to enhance grasp performance through vision-language model-guided feedback.

table
Piece of Table: A Divide-and-Conquer Approach for Selecting Sub-Tables in Table Question Answering
Wonjin Lee, Kyumin Kim, Sungjae Lee, Jihun Lee, Kwang In Kim
arXiv preprint, 2024
arXiv

A sub-table-based question answering framework using divide, conquer, and combination steps.

tonguecancer
Enhancing deep learning classification performance of tongue lesions in imbalanced data: mosaic-based soft labeling with curriculum learning
Sungjae Lee*, Hyun Jun Oh*, Young-Don Son, Jong-Hoon Kim, Ik-Jae Kwon, Bongju Kim, Jong-Ho Lee, Hang-Keun Kim
BMC Oral Health, 2024
bibtex

A mosaic-based soft labeling augmentation method for class-imbalanced tongue lesion classification.

2022-IEEE-NSS-MIC
Image Reconstruction Network with Sinogram-to-Image Transform Layer for Projection Data
Sungjae Lee, Yong-Gi Hong, Tae-Jin Kim, M. Kim, Hang-Keun Kim, Kyungsang Kim, Young-Don Son
Poster (on-site presentation), 2022
pdf

An image reconstruction from positron emission tomography (PET) sinogram data.

Education

Pohang University of Science and Technology (POSTECH)  |  Pohang, South Korea
Mar. 2024 - Present
M.S. in Artifical Intelligence, advised by Prof. Kwang-In Kim.
Gachon University  |  Seongnam, South Korea
Mar. 2018 - Feb. 2024
B.S. in Biomedical Engineering (Summa Cum Laude).

Work Experiences

Machine Learning and Vision Group (MLV Group)  |  Research student
Mar. 2024 - Present
Vision-based robot interaction.
Neurophet AI Team  |  Research intern
Aug. 2023 - Dec. 2023
Development of a deep-learning model for automated cerebral microbleed segmentation.
Multi-Modality Medical Imaging Lab (MMMIL)  |  Research student
Apr. 2021 - Dec. 2023
Tongue cancer classification.
Image reconstruction from positron emission tomography (PET) sinogram data.
Also worked on malocclusion classification and brain vessel segmentation from MR angiography.