About Me

I'm a Machine Learning Engineer at Beeble AI, where I develop and optimize end-to-end AI/ML pipeline for visual scene data extraction from footages. 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].

Work Experience

Beeble AI

Apr 2024 - Present
Machine Learning Engineer
- Develop and optimize end-to-end AI/ML pipeline for visual scene data extraction from videos
[Research]

> Research and optimize AI models (e.g. matting, depth estimation, camera tracking) for pipeline integration
> Build a synthetic data generation pipeline to render OLAT images, PBR textures, and depth maps for training

[Web & Product]

> Develop HDR light generation harmonized with background and post-processing features for 3D web editor
> Create Blender add-on that supports shot editing and cloud-based 3D asset libraries for virtual set creation

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

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