About Me

I work as a ML Engineer at Beeble AI, where I push the boundaries of mobile AI virtual production with a focus on realistic lighting. Previously, I completed my Master's degree at POSTECH Computer Graphics Lab under the supervision of Prof. Seung-Hwan Baek, focusing on comprehensive analysis and modeling of light properties [NeSpoF, SpoDataset, Spectro-polarimetric BRDF].

Work Experience

Beeble AI

Apr 2024 - Present
ML Engineer

- Build a synthetic human data generation pipeline to render OLAT images, PBR textures, and depth maps
- Optimize the pipeline for AI background removal, PBR map extraction, and monocular depth estimation
- Develop a web and cloud-based interactive tool for 3D virtual set creation and post-capture shot editing

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
[Recommendation System]

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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 Pradigm of Digital Me
Kyoung Jun Lee, Baek Jeong, Yujeong Hwangbo, Youngchan Kim, Sungwon Bae, Taehoon Baek
ICEC 2022

Teaching Experience

Team Sparta Hanghae99 ML/DL Class

Mar 2025 - Jun 2025
Tutor

Samsung Electronics DX (Digital Transformation) Training

Apr 2024
Lecturer

POSCO AI Expert Training

Oct 2022 / Jul 2023
Teaching Assistant

CSED700G Computational Imaging

Spring 2023
Teaching Assistant