Youngchan Kim

ML Engineer @ Beeble

About Me

I work as a ML Engineer at Beeble, where I develop and implement human-centric vision algorithms for virtual production. I'm interested in making advanced video production tools easily accessible to everyone through a streamlined and user-friendly workflow.

Previously, I completed my Master's degree at POSTECH Computer Graphics Lab under the supervision of Prof. Seung-Hwan Baek. My graduate research focused on comprehensive analysis and modeling of light properties [NeSpoF, SpoDataset, Spectro-polarimetric BRDF].

Education

Pohang University of Science and Technology (POSTECH)

Mar. 2022 - Feb. 2024
MS in Graudate School of Artificial Intelligence

Yonsei University

Mar. 2016 - Feb. 2022
BS in Mathematics & Electrical and Electronic Engineering

Work Experience

Beeble

Apr. 2024 - Present
ML Engineer

> Build a dataset rendering pipeline with virtual light stage for synthetic human PBR textures and depth maps
> Optimize the portrait relighting model with perspective monocular depth estimation using synthetic dataset
> Implement a depth-oriented 3D human motion tracking and 3D scene reconstruction from a single 2D image

Publications

** Computer Vision & Computer Graphics **

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Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset
Yujin Jeon*, Eunsue Choi*, Youngchan Kim, Yunseong Moon, Khalid Omer, Felix Heide, Seung-Hwan Baek
CVPR 2024 (highlight)
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Neural Spectro-polarimetric Fields
Youngchan Kim, Wonjoon Jin, Sunghyun Cho, Seung-Hwan Baek
SIGGRAPH Asia 2023
** Misc **

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Towards Minimally Domain-Dependent and Privacy-Preserving Architecture and Algorithms for Digital Me Services: EdNet and MIMIC-III Experiments
Kyoung Jun Lee, Baek Jeong, Youngchan Kim, Suhyeon Kim
HICSS 2025
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AMPER(Aim-Measure-Predict-Evaluate-Recommend): The Paradigm of Digital Me
Kyoung Jun Lee, Baek Jeong, Yujeong Hwangbo, Youngchan Kim, Sungwon Bae, Taehoon Baek
ICEC 2022

Teaching Experience

Samsung Electronics DX (Digital Transformation) Training

Apr. 2024
Lecturer

CSED700G Computational Imaging

Spring 2023
Teaching Assistant

POSCO AI Expert Training

Oct. 2022 / Jul. 2023
Teaching Assistant