ECCV
2026
AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution
† Co-corresponding authors · European Conference on Computer Vision, 2026
About
I am a postdoctoral researcher at the Video and Image Computing Lab (VIC Lab), KAIST, where I also received my Ph.D. in Electrical Engineering (Aug. 2025) under the supervision of Prof. Munchurl Kim. I currently lead an NRF/MSIT-funded Sejong Science Fellowship project on AI-based satellite image visualization and analysis.
My research centers on generative models for remote sensing — SAR-to-EO image translation, PAN-sharpening, and satellite image super-resolution — and on efficient skeleton-based action recognition. My current interests extend to remote sensing foundation models, skeleton foundation models, and motion generation.
News
- AVSR-Diff accepted to ECCV 2026.
- C-DiffSET accepted to IEEE TCSVT; code released on GitHub.
- Started as Principal Investigator of the Sejong Science Fellowship (NRF & MSIT).
- Started as a Postdoctoral Researcher at KAIST.
- Two papers (TDSM, PAN-Crafter) accepted to ICCV 2025.
- U-Know-DiffPAN accepted to CVPR 2025.
- SkateFormer accepted to ECCV 2024.
Publications
International Conferences & Journals
TCSVT
2026
IEEE Transactions on Circuits and Systems for Video Technology, 2026
ICCV
2025
ICCV
2025
CVPR
2025
† Co-corresponding authors · IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
ECCV
2024
VCIP
2023
MorphVAD: Efficient Video Anomaly Detection Using Morphological Transformation
IEEE International Conference on Visual Communications and Image Processing, 2023
ICCAS
2022
Multi-modal Transformer for Indoor Human Action Recognition
22nd International Conference on Control, Automation and Systems, IEEE, 2022
IEEE Access
2021
Pseudo-Supervised Learning for Semantic Multi-Style Transfer
IEEE Access, vol. 9, pp. 7930–7942, 2021
IEEE Access
2020
Learning-based JND-directed HDR Video Preprocessing for Perceptually Lossless Compression with HEVC
IEEE Access, vol. 8, pp. 228605–228618, 2020
CVPRW
2020
NTIRE 2020 Challenge on NonHomogeneous Dehazing
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020
Preprints
arXiv
2026
Experience
- Principal Investigator, Sejong Science Fellowship AI-based Satellite Image Visualization and Analysis · funded by NRF & MSIT
- Postdoctoral Researcher, KAIST Information & Electronics Research Institute · alternative military service
- Research Assistant, KAIST Government- and industry-funded projects: ADD, LG Electronics, SK Hynix, Stellarvision
Education
- Ph.D., School of Electrical Engineering, KAIST Thesis: A Study on Efficient Skeletal-Temporal Transformer for Skeleton-based Action Recognition · Advisor: Prof. Munchurl Kim
- M.S., School of Electrical Engineering, KAIST Thesis: Effective Labeling on Unlabeled Data for Imbalanced Training Dataset · Advisor: Prof. Munchurl Kim
- B.S., School of Electrical Engineering, KAIST Double major in Mathematical Sciences · Cum Laude
Academic Service
- Conference reviewer — NeurIPS, AAAI, BMVC (2026); ICCV, CVPR (2025); VCIP (2023–2025)
- Journal reviewer — IJCV, IEEE TIP, TNNLS, TMM, ACM TOMM
Invited Talks
- Deep Learning-based Multi-modal Satellite Image Fusion
Prof. Jungho Im’s Lab, UNIST · Feb. 2026
Honors & Awards
- Government Scholarship for Ph.D. students, 2021–2025
- KAIST Scholarship for M.S. students, 2019–2021
- National Scholarship for undergraduates, 2015–2019
- KAIST President Award, 2015
Technology Transfer
- Generative AI-based SAR-to-EO Image Translation
transferred to Stellarvision · Apr. 2025