C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation
U- Know- Diff-PAN: Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detection Aerial Image Objects
Woojin Lee*, Hyugjae Chang*, Jaeho Moon, Jaehyeop Lee†, Munchurl Kim† 1
[Project page] [arXiv]
Under review.
DAKD: Data Augmentation and Knowledge Distillation using Diffusion Models for SAR Oil Spill Segmentation
Jaeho Moon*, Jeonghwan Yun*, Jaehyun Kim*, Jaehyeop Lee†, Munchurl Kim† 1
[Project page] [arXiv]
Under review.
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%
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%,
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)
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.
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)