Suhyun Shin (신수현)

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Contact : shshin9812@postech.ac.kr
Integrated MS & PhD Student
Member of Computer Graphic Labs, POSTECH

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

My research focuses on Computational Imaging and Computer graphics, with 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.

Education

09/2022–Present

POSTECH, Pohang South Korea.

MS-PhD in Graduate School of Artificial Intelligence Advised by Prof. Seung-Hwan Baek.

03/2017–08/2022

Chung-Ang University, Seoul South Korea, B.S. in Mathematics

Publications

Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes

Suhyun Shin, Seungwoo Yoon, Ryota Maeda, Seung-Hwan Baek

CVPR, 2025

project page / paper / code

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

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.

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.

Awards and Scholarships

2025~2026, Recipient, NRF Research Fellowship for Doctoral Students, National Research Foundation of Korea
2021, SW/AI Contest, Chung-Ang University, Seoul, Korea (2nd Place)
2017, Top-ranked admission & full tuition (granted for full semesters), Chung-Ang University, Seoul, Korea