🙋♂️ Hi, I'm a Ph.D. student at Yonsei University advised by Prof. Seon Joo Kim.
🚀 My previous research focused on object-centric learning, video understandin.
📸 Currently, I am doing research on generative photography, exploring what defines a good photograph.
☕️ Feel free to reach out to me for an onsite/virtual coffeechat!
Education
Ph.D. in Computer Science, Yonsei Univ.
B.S. in Computer Science, Yonsei Univ.
Computer Engineering, Sungkyunkwan Univ.
2021 - Present
2018 - 2021
2016 - 2018
Naver Clova, Seongnam, Korea
Research Intern @ Video Team / Video Understanding
Dec. 2021 - Jun. 2022
Hyundai Mobis, Seoul, Korea
Dispatch Labor @ Data Science Team / Machine Reading Comprehension
Mar. 2019 - Jul. 2019
Dual-Output Multi-Exposure HDR Reconstruction via SDR Fusion and Gain Map Inverse Tone Mapping
Jinho Kim, Jinwoo Kim, Seon Joo Kim
under review
to appear
LIIFusion: Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation
Sangmin Han, Jinho Kim, Jinwoo Kim, Dongyoung Kim, Seon Joo Kim
under review
to appear
Learning Personalized Photographic Style from Pairwise User Preferences
Jinwoo Kim, Jihye Yoo, Seon Joo Kim
CVPR 2026
to appear
APT: Accelerating Diffusion Model for High Resolution Image Generation with Adaptive Path Tracing
Sangmin Han, Jinho Jeong, Jinwoo Kim, Seon Joo Kim
arXiv'25.07
[paper]
Latent space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models
Jinho Jeong, Sangmin Han, Jinwoo Kim, Seon Joo Kim
CVPR 2025
ORIDa: Object-centric Real-world Image Composition Dataset
Jinwoo Kim, Sangmin Han, Jinho Jeong, Jiwoo Choi, Dongyoung Kim, Seon Joo Kim
CVPR 2025
Visual Fidelity vs. Robustness: Trade-Off Analysis of Image Adversarial Watermark Mitigated by SSIM Loss
Jiwoo Choi, Jinwoo Kim, Sejong Yang, Seon Joo Kim
ICLRW on "GenAI Watermarking" 2025
[paper]
Accelerating Large Image Super-Resolution Networks with Pixel-Level Classification
Jinho Jeong, Jinwoo Kim, Younghyun Jo, Seon Joo Kim
ECCV 2024
[paper] [project page] [code]
Towards Interpretable Controllability in Object-Centric Learning
Jinwoo Kim*, Jangyuk Choi*, Jeahyun Kang, Changyeon Lee, Ho-Jin Choi, Seon Joo Kim
(* equal contribution)
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
Dongyoung Kim, Jinwoo Kim, Junsang Yu, Seon Joo Kim
CVPR 2024
[paper] [project page]
Winning the CVPR’2021 Kinetics-GEBD Challenge: Contrastive Learning Approach
Hyolim Kang, Jinwoo Kim, Kyungmin Kim, Taehyun Kim, Seon Joo Kim
CVPRW on "Long-form Video Understanding" 2021
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
[paper] [code] [project page]
Final Scholarship’s List, Qualcomm Innovation Fellowship Korea
The 1st Place in Track 1 of the LOng-form Video Understanding (CVPRW 2021)
Excellent Research Exhibition, Dept. of Computer Science, Yonsei University (2020)
Academic Achievement Award, Yonsei University (2020)
Dean’s List, Sungkyunkwan Univ (2016, 2017)