Suhyun Shin

I'm a MS-Phd student at POSTECH Computer Graphics Lab under the supervision of Prof. Seung-Hwan Baek.

My research focuses on Computer vision and Computer graphics, with a particular interest in the interaction between light and objects. Recently, my interest lie in capturing both the spectral and 3D geometric information of objects, integrating software, hardware, and optical techniques. I aim to understand the interactions between light and objects and to extract hidden information from these interactions. My goal is to implement these studies in a differentiable manner, using AI technologies to achieve more innovative and impactful results. I am enthusiastic about continuing research in areas related to cameras, displays, optics, and lenses, and I intend to make significant contributions to this field.

Email  /  CV  /  Github

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Research

I'm interested in computer graphics, deep learning, and optics. My recent research is about Hyperspectral 3D imaging, which reconstructs high quality depth and spectral information using a diffraction grating film.

Dispersed Structured Light for Hyperspectral 3D Imaging
Suhyun Shin, Seokjun Choi, Felix Heide, Seung-Hwan Baek
CVPR, 2024
project page / paper / code

High quality hyperspectral 3D imaging using dispersed structured light.

Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes
Suhyun Shin, Seungwoo Yoon, Ryota Maeda, Seung-Hwan Baek
project page / paper / code

Fast and high accurate hyperspectral 3D imaging for dynamic scenes using dense dispersed structured light.

Limitations of Hyperspectral Imaging from RGB Images: A Data Perspective
Qiang Fu, Matheus Souza, Eunsue Choi, Suhyun Shin, Seung-Hwan Baek, Wolfgang Heidrich
Computational Optical Sensing and Imaging, Optical, 2024
paper

We show that significant limitations exist arising from the lack of diversity in the prevailing hyperspectral image datasets.

Education

POSTECH Sept.2022 - Present

M.S-Ph.d in Departement of Artificial Intelligence

Chung-ang University, Mar.2017 - Aug.2022

B.S in Department of Mathematics


Source code credit to Dr.Jon Barron.