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Eunseob Choi I am an undergraduate student at Gwangju Institute of Science and Technology (GIST), majoring in Electrical Engineering and Computer Science. I am currently working as an AI Intern at JB Woori Capital. I am interested in computer vision, generative and foundation models, and medical image reconstruction. My research explores physics-informed deep learning and efficient sequence modeling for accelerated MRI/CT reconstruction, with a focus on native 3D volumetric k-space learning and self-supervised pretraining strategies that bridge the gap between data-driven priors and the underlying imaging physics. I'm always open to discussions and collaborations. Feel free to reach out! E-mail: eunseob.kr [at] gmail.com |
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Publications |
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MAESIL: Masked Autoencoder for Enhanced Self-supervised Image Learning
Kyeonghun Kim, Hyeonseok Jung, Youngung Han, Junsu Lim, YeonJu Jean, Eunseob Choi, et al. International Conference on Electronics, Information and Communication (ICEIC), 2026 A masked autoencoder framework for enhanced self-supervised image learning. |
Posters |
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GRAVEX: GPU-accelerated GAN‑Diffusion Representation for Counterfeit Pattern Analysis with MONAI-based Validation & Examination
Kyeonghun Kim, Eunseob Choi, Junsu Lim, Induk Um, Ken Ying-Kai Liao, Hyuk-jae Lee NVIDIA GTC, 2026 (Poster) |
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GLARE: GPU-Accelerated 3D CT Vision-Language Reasoning via Efficient Anatomical Boundary Guidance
Youngung Han, Junsu Lim, Eunseob Choi, Soo Yong Kim, Yi Kwan Ginny Wong, Nam-Joon Kim NVIDIA GTC, 2026 (Poster) |
Patents |
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Hybrid Behavior Classification System and Method Combining Lightweight Edge Pose Estimation and Server Deep Analysis Based on 2D Monocular Images
Korean Patent Application No. 10-2025-082086-3 (under examination) |
Education |
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Gwangju Institute of Science and Technology (GIST) — B.S. in Electrical Engineering and Computer Science Mar. 2024 – Present Seoul National University — Exchange Student, Dept. of Electrical and Computer Engineering Aug. 2025 – Dec. 2025
University of California, Berkeley — Summer Session Exchange Student Jun. 2025 – Aug. 2025 |
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Design adapted from Jon Barron's website. |