| Ntire 2018 challenge on image dehazing: Methods and results C Ancuti, CO Ancuti, R Timofte Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 166 | 2018 |
| A novel just-noticeable-difference-based saliency-channel attention residual network for full-reference image quality predictions S Seo, S Ki, M Kim IEEE Transactions on Circuits and Systems for Video Technology 31 (7), 2602-2616, 2020 | 42 | 2020 |
| Sipsa-net: Shift-invariant pan sharpening with moving object alignment for satellite imagery J Lee, S Seo, M Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| High-resolution image dehazing with respect to training losses and receptive field sizes H Sim, S Ki, JS Choi, S Seo, S Kim, M Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 24 | 2018 |
| UPSNet: Unsupervised pan-sharpening network with registration learning between panchromatic and multi-spectral images S Seo, JS Choi, J Lee, HH Kim, D Seo, J Jeong, M Kim IEEE Access 8, 201199-201217, 2020 | 23 | 2020 |
| Pan-sharpening with color-aware perceptual loss and guided re-colorization JLG Bello, S Seo, M Kim 2020 IEEE International Conference on Image Processing (ICIP), 908-912, 2020 | 8 | 2020 |
| Pan-sharpening with color-aware perceptual loss and guided re-colorization JLG Bello, S Seo, M Kim 2020 IEEE International Conference on Image Processing (ICIP), 908-912, 2020 | 8 | 2020 |
| Deep hvs-iqa net: Human visual system inspired deep image quality assessment networks S Seo, S Ki, M Kim arxiv. org, XP081029095 20, 2019 | 6 | 2019 |
| JND-SalCAR: A novel JND-based saliency-channel attention residual network for image quality prediction S Seo, S Ki, M Kim arXiv preprint arXiv:1902.05316, 2019 | 4 | 2019 |
