Scholar
Dongyoung Kim
Google Scholar ID: grONfIQAAAAJ
Yonsei University
Citations & Impact
Citations
55
H-index
3
i10-index
2
Publications
5
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications: 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 (ICCV 2021). Awards & Honors: Best Paper - Yonsei University Innovation Paper Award; Outstanding Reviewer - IEEE/CVF Conference on Computer Vision and Pattern Recognition (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).
Research Experience
- Samsung AI Center, Toronto - Research Intern, Mentors: Michael S. Brown; Sony AI - Research Intern, Mentors: Radu Berdan, Daisuke Iso, Project: Reverse ISP, RAW image reconstruction; Samsung Advanced Institute of Technology (SAIT) - Conducted Industry-Academia collaboration projects during graduate student period, Project: AI-ISP, Deep Spatially-varying WB Algorithm, Image Quality Assessment.
Education
- Ph.D. in Computer Science, Yonsei University, Advisor: Prof. Seon Joo Kim (2019-Present); B.S. in Computer Science, Yonsei University (2015-2019).
Background
- Research Interests: Computational Photography, Camera ISP, Image & Color Editing. Brief: Solving low-level photography problems using deep learning.
Miscellany
- Reviewer Services: Conferences: CVPR (2024,2025*), ICCV (2023,2025), NeurIPS (2023), ECCV (2024), ACCV (2024); Journals: TPAMI (2023,2025), IJCV (2024,2025), CVIU (2022,2023), CVM(2024), TCSVT(2024). *Outstanding reviewer.
Co-authors