| Ntire 2020 challenge on spectral reconstruction from an rgb image B Arad, R Timofte, O Ben-Shahar, YT Lin, GD Finlayson Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 248 | 2020 |
| Unsupervised deep image fusion with structure tensor representations H Jung, Y Kim, H Jang, N Ha, K Sohn IEEE Transactions on Image Processing 29, 3845-3858, 2020 | 150 | 2020 |
| Deep monocular depth estimation via integration of global and local predictions Y Kim, H Jung, D Min, K Sohn IEEE transactions on Image Processing 27 (8), 4131-4144, 2018 | 123 | 2018 |
| Ntire 2020 challenge on real image denoising: Dataset, methods and results A Abdelhamed, M Afifi, R Timofte, MS Brown Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 89 | 2020 |
| Depth analogy: Data-driven approach for single image depth estimation using gradient samples S Choi, D Min, B Ham, Y Kim, C Oh, K Sohn IEEE Transactions on Image Processing 24 (12), 5953-5966, 2015 | 63 | 2015 |
| Structure selective depth superresolution for RGB-D cameras Y Kim, B Ham, C Oh, K Sohn IEEE Transactions on Image Processing 25 (11), 5227-5238, 2016 | 55 | 2016 |
| Depth prediction from a single image with conditional adversarial networks H Jung, Y Kim, D Min, C Oh, K Sohn 2017 IEEE International Conference on Image Processing (ICIP), 1717-1721, 2017 | 53 | 2017 |
| Structure-texture image decomposition using deep variational priors Y Kim, B Ham, MN Do, K Sohn IEEE Transactions on Image Processing 28 (6), 2692-2704, 2018 | 51 | 2018 |
| Memory-guided unsupervised image-to-image translation S Jeong, Y Kim, E Lee, K Sohn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 48 | 2021 |
| Guideformer: Transformers for image guided depth completion K Rho, J Ha, Y Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 46 | 2022 |
| A large RGB-D dataset for semi-supervised monocular depth estimation J Cho, D Min, Y Kim, K Sohn arXiv preprint arXiv:1904.10230, 2019 | 42 | 2019 |
| Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset J Cho, D Min, Y Kim, K Sohn Expert Systems with Applications 178, 114877, 2021 | 40 | 2021 |
| Diml/cvl rgb-d dataset: 2m rgb-d images of natural indoor and outdoor scenes J Cho, D Min, Y Kim, K Sohn arXiv preprint arXiv:2110.11590, 2021 | 34 | 2021 |
| Deeply aggregated alternating minimization for image restoration Y Kim, H Jung, D Min, K Sohn Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 33 | 2017 |
| Fast domain decomposition for global image smoothing Y Kim, D Min, B Ham, K Sohn IEEE Transactions on Image Processing 26 (8), 4079-4091, 2017 | 29 | 2017 |
| Deep Network for Simultaneous Stereo Matching and Dehazing. T Song, Y Kim, C Oh, K Sohn BMVC, 5, 2018 | 23 | 2018 |
| Simultaneous deep stereo matching and dehazing with feature attention T Song, Y Kim, C Oh, H Jang, N Ha, K Sohn International Journal of Computer Vision 128, 799-817, 2020 | 17 | 2020 |
| Multi-task self-supervised visual representation learning for monocular road segmentation J Cho, Y Kim, H Jung, C Oh, J Youn, K Sohn 2018 ieee international conference on multimedia and expo (icme), 1-6, 2018 | 17 | 2018 |
| Enriching SAR ship detection via multistage domain alignment S Jeong, Y Kim, S Kim, K Sohn IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 15 | 2021 |
| Hierarchical multi-label object detection framework for remote sensing images SJ Shin, S Kim, Y Kim, S Kim Remote Sensing 12 (17), 2734, 2020 | 12 | 2020 |
Kwanghoon SohnYonsei UniversityVerified email at yonsei.ac.kr
