Jinwoo Kim
Jinwoo Kim
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🙋♂️ 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 understanding, and low-level vision.
📸 Currently, I am particularly interested in Computational Intelligent Photography, with a focus on Diffusion Cameras, a novel in-camera imaging system.
☕️ Feel free to reach out to me for a 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
Work Experience
Work Experience
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
Publications
Publications
APT: Accelerating Diffusion Model for High Resolution Image Generation with Adaptive Path Tracing
Sangmin Han, Jinho Jeong, Jinwoo Kim, Seon Joo Kim
under review
to appear
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]
Awards
Awards
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)
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