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. I'm interested in AI-driven content creation to enhance workflows and deliver Hollywood-level quality results for filmmaking and visual storytelling.

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].

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