Curriculum Vitae
Jaehyup Lee
I am currently an assistant professor in the Department of Computer Science at Kyungpook National University. Prior to this,I worked as a research staff researcher at Samsung Advanced Institute of Technology. Before that, I received Ph.D. degree (Feb. 2024) and MS degree (Feb. 2020) advised by Prof. Munchurl Kim (VICLAB) at the School of Electrical Engineering in KAIST.
Contacts
E-mail: [jaehyuplee@knu.ac.kr ]
Room 1106, N24 LG Innovation Hall, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
Research Interests
Deep Learning-based Low-level Computer Vision
Multi-Spectral image processing
Guidance image Super-Resolution / PAN-Sharpening
Satellite image processing (MS, PAN, SAR..)
Image Colorization
International Publications
A CNN-Based Multi-scale Super-Resolution Architecture on FPGA for 4K/8K UHD Applications
on.
Yongwoo Kim, Jae-Seok Choi, Jaehyup Lee, Munchurl Kim
MultiMedia Modeling, 26th International Conference, MMM 2020, Daejeon, South Korea, January 5–8, 2020, Proceedings, Part II (pp.739-744)
UPSNet: Unsupervised Pan-Sharpening Network With Registration Learning Between Panchromatic and Multi-Spectral Images
Soomin Seo, Jaeseok Choi, Jaehyup Lee, Hyun-Ho Kim, Doochun Seo, Jaeheon Jeong, and Munchurl Kim
in IEEE Access, vol. 8, pp. 201199-201217, 2020, doi: 10.1109/ACCESS.2020.3035802.
SIPSA-Net: Shift-Invariant PAN Sharpening with Moving Object Alignment for Satellite Imagery
Jaehyup Lee, Soomin Seo, Munchurl Kim
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral Presentation, 2021. (Oral Paper Rate: 3%, Acceptance Rate: 23.6% ≈ 1660/7039)
CFCA-SET: Coarse-to-Fine Context-Aware SAR-to-EO Translation with Auxillary learning of SAR-to-NIR Translation (Accepted)
Jaehyup Lee, Hyebin Cho, Doochun Seo, Hyun-ho Kim, Jaeheon Jeong, and Munchurl Kim
In Proceedings of the IEEE Transactions on Geoscience and Remote Sensing, (TGRS), vol. 61, pp. 1-18, 2023, Art no. 5217118, doi: 10.1109/TGRS.2023.3318980. IF: 8.2, JCR: 4.1%,
Segmentation-guided Context Learning using EO Object Labels for Stable SAR-to-EO Translation
Jaehyup Lee, Hyun-ho Kim, Doochun Seo, and Munchurl Kim
In Proceedings of the IEEE Geoscience and Remote Sensing Letters, (GRSL), 2023, DOI: 10.1109/LGRS.2023.3344804, IF: 5.343, JCR: 10.9%
Domestic Conferences
CNN-based PAN-Sharpening with selective loss functions
Jaehyup Lee, Munchurl Kim
2019 the institute of electronics and information engineers Conference(ieie), 2019.
Educational / Work History
Staff Engineer, SAMSUNG - SAIT (Samsung Advanced Institute of Technology) 03.2024 - present
Ph.D., KAIST - School of Electrical Engineering 03.2020 - 02.2024
Advisor: prof. Munchurl Kim
M.S., KAIST - School of Electrical Engineering 03.2018 - 02.2020
Advisor: prof. Munchurl Kim
"CNN-based PAN-Sharpening with Locally-Adaptive loss function" M.S. Thesis, Korea Advanced Institute of Science and Technology
B.S., KAIST - School of Electrical Engineering 03.2013 - 02.2018
Research Project Experience
Government-Funded Projects as Research Assistant
09.2018 – 12.2018 Deep Learning based Satellite Image Super-Resolution
funded by Institute for Information & Communications Technology Planning & Evaluation
01.2019 – 12.2020 Deep Learning based Pan Sharpening
funded by Institute for Information & Communications Technology Planning & Evaluation
04.2020 – 09.2021 Deep Learning based SAR Object Detection
funded by Agency for Defense Development(ADD)
01.2021 – Present Deep Learning based Single Image Colorization
funded by Institute for Information & Communications Technology Planning & Evaluation
01.2021 – Present GAN-based Fully Automatic SAR-to-EO Translation
funded by Institute for Korea Aerospace Research Institute
Teaching Experience
Spring 2022 Academic Counseling Assistant, Kaist Academic Counseling
Fall 2021 Academic Counseling Assistant, Kaist Academic Counseling
Spring 2021 Academic Counseling Assistant, Kaist Academic Counseling
Spring 2021 Teaching Assistant, Digital Signal Processing
Fall 2020 Teaching Assistant, Pattern Recognition
Spring 2020 Teaching Assistant, Digital Signal Processing
Spring 2017 Teaching Assistant, History of Asian culture
Fall 2016 Teaching Assistant, History of Asian culture
Spring 2016 Teaching Assistant, History of Asian culture
Languages
Programming Languages: Tensorflow, Pytorch, Python, Matlab
Korean(Native), English(Conversational)