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Hi there 👋

  • I am an undergraduate student of POSTECH(Pohang university of science and technology).

I am interested in...

  • Computer Vision
  • Deep Learning
  • Especially, Generative Model (Diffusion Models, GAN)

Contact Info

Links

Work Experience

  • 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

Research Experiences

  • 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.
    • Reviewed 16 Papers about fundamental Generative Models (GAN, Diffusion Model, Consistency Model)
    • Diffusion Models, Consistency Models, Image Editing
  • 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
  • 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

Studies

  • Selected Courses

    • Computer Vision, Deep Learning, Signal Processing, Artificial Intelligence
    • Differential Equations, Applied Linear Algebra, Probability & Statistics, Advanced Linear Algebra
  • 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
  • Stanford CS224n(Natural Language Processing with Deep Learning), 2023-Fall

    • Online Open Course from Stanford University
    • With NAEK YEHS Members
  • 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.
  • 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.

Dae-Hyeon Choi's Projects

csed312-team30 icon csed312-team30

POSTECH 2023 Fall - CSED312 (Operating Systems) Assignments (Well known as Pintos Project).

ddpm-cd icon ddpm-cd

Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

ddpm-scd icon ddpm-scd

Semantic Change Detection Using Denoising Diffusion Probabilistic Model

debias_vl icon debias_vl

Code for Debiasing Vision-Language Models via Biased Prompts

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

postech-csed538 icon postech-csed538

POSTECH CSED538 (Deep Learning) Final Term Project: Feature Manipulation for DDPM based Change Detection

postech-csed539 icon postech-csed539

POSTECH CSED539 (Computer Vision) Final term Project: POSTECH-CSED539: Wavelet Feature Upsamplers are Efficient and Competitive in Semantic Segmentation

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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