DongYoung Kim

Ph.D. candidate in Computer Science, Yonsei University, Korea | Supervisor: Prof. Seon Joo Kim

I solve low level photography problems using deep learning.

Research Interests: Computational Photography, Camera ISP, Image & Color Editing

Email : [first name] [dot] [last name] @yonsei.ac.kr

🎓 Education

Research Intern

Conducted Industry-Academia collaboration projects during graduate student period, with Samsung Advance Institute of Technology (SAIT)

CCMNet: Leveraging Calibrated Color Correction Matrices for Cross-Camera Color Constancy

ICCV 2025

ORIDa: Object-centric Real-world Image Composition Dataset

CVPR 2025

ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining

ACCV 2024

Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing

CVPR 2024

Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm
Under Mixed Illumination

Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee,
Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim

ICCV 2021

Best Paper - Yonsei University Innovation Paper Award
- Yonsei University Graduate School
- "Attentive Illumination Decomposition for Multi-Illuminant White Balancing"
Outstanding Reviewer
- IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025 (CVPR'25 - Top 5.6% of total reviewers)
Industry-Academia Fellowship
- Samsung Advanced Institute of Technology (SAIT)
Ph.D. Research Scholarship
- Yonsei University, 2-year Ph.D. tuition
National Science and Engineering Undergraduate Scholarship 🔗
- Korea Student Aid Foundation (KOSAF), 4-year full undergraduate tuition
Winner of 1 Best Research Award & 2 Popularity Research Awards
- Yonsei University, Software Capstone Design Class (CSI4101,CSI4102)

Conference: CVPR (2024,2025*), ICCV (2023,2025), NeurIPS (2023), ECCV (2024), ACCV (2024)
Journal: TPAMI (2023,2025), IJCV (2024,2025), CVIU (2022,2023), CVM(2024), TCSVT(2024)

*Outstanding reviewer

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