- I am an undergraduate student of POSTECH(Pohang university of science and technology).
- Computer Vision
- Deep Learning
- Especially, Generative Model (Diffusion Models, GAN)
- E-mail: [email protected]
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Intern, GenGenAI (2024.6.24 ~ 2024.8.30) (Link: GenGenAI)
- TBD
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AI Research Intern, Meissa Planet (2023.6.12 ~ 2023.9.1) (Link: Meissa Planet)
- Satellite Image Anaylsis using Deep Learning & Computer vision
- Diffusion Models, Semantic Segmentation, Change Detection, Semantic Change Detection
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UnderGraduate Student Researcher, SNU Visual & Geometric Intelligence Lab (2023.9 ~ Present) (Link: VGI Lab @ SNU)
- Under the supervision by Prof. Jaesik Park
- Organized & Leaded Generative Model Studies with other undergraduated students in our lab. (Link: Generative Model Study)
- Reviewed 16 Papers about fundamental Generative Models (GAN, Diffusion Model, Consistency Model)
- Diffusion Models, Consistency Models, Image Editing
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UnderGraduate Student Researcher, POSTECH Medical Imaging & Vision Lab (2023.9 ~ 2023.12) (Link: MIV Lab @ POSTECH)
- Under the supervision by Prof. Wonhwa Kim
- For Graduation Research Project I (POSTECH CSED499I)
- Medical Image segmentation, Wavelet Diffusion Models
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UnderGraduate Student Researcher, POSTECH Computer Vision Lab (2022.9 ~ 2023.2) (Link: CV Lab @ POSTECH)
- Under the supervision by Prof. Jaesik Park
- Generative Adversarial Networks
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Selected Courses
- Computer Vision, Deep Learning, Signal Processing, Artificial Intelligence
- Differential Equations, Applied Linear Algebra, Probability & Statistics, Advanced Linear Algebra
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Stanford CS231n(Deep Learning for Computer Vision), 2022-Fall
- Online Open Course from Stanford University
- While I was an undergraduate student researcher at POSTECH CVLab
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Stanford CS224n(Natural Language Processing with Deep Learning), 2023-Fall
- Online Open Course from Stanford University
- With NAEK YEHS Members
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PAIS Weekly Paper Review, 2023-Fall
- PAIS means 'POSTECH Artificial Intelligence Society', which is AI Academy in POSTECH
- We read and present a total of three papers every week, one from each field (Computer Vision/Natural Language Processing/Machine Learning).
- I contributed our works by reviewing 2 papers, about UNet & GAN.
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VGI Lab Generative Model Study, 2024-Spring
- Studied 16 Papers about fundamental generative models, such as GAN, Diffusion Model, Consistency Model.
- With 2 undergraduate students in VGI Lab
- I leaded and adivsed all of our works.