| 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 | 52 | 2018 |
| 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 | 51 | 2015 |
| 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 | 48 | 2020 |
| 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 | 32 | 2016 |
| 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 | 30 | 2017 |
| 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 | 27 | 2017 |
| 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 | 26 | 2019 |
| 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 | 23 | 2018 |
| 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 | 17 | 2017 |
| Deep Network for Simultaneous Stereo Matching and Dehazing. T Song, Y Kim, C Oh, K Sohn BMVC, 5, 2018 | 14 | 2018 |
| Data-driven single image depth estimation using weighted median statistics Y Kim, S Choi, K Sohn 2014 IEEE International Conference on Image Processing (ICIP), 3808-3812, 2014 | 9 | 2014 |
| 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 | 7 | 2021 |
| 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 (4), 799-817, 2020 | 6 | 2020 |
| Hierarchical multi-label object detection framework for remote sensing images SJ Shin, S Kim, Y Kim, S Kim Remote Sensing 12 (17), 2734, 2020 | 6 | 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 | 6 | 2018 |
| Automatic 2d-to-3d conversion using multi-scale deep neural network J Lee, H Jung, Y Kim, K Sohn 2017 IEEE International Conference on Image Processing (ICIP), 730-734, 2017 | 6 | 2017 |
| Edge-aware image smoothing using commute time distances Y Kim, C Oh, K Sohn 2016 IEEE International Conference on Image Processing (ICIP), 3304-3308, 2016 | 5 | 2016 |
| A majorize-minimize approach for high-quality depth upsampling Y Kim, S Choi, C Oh, K Sohn 2015 IEEE International Conference on Image Processing (ICIP), 392-396, 2015 | 5 | 2015 |
| Sparse edit propagation for high resolution image using support vector machines C Oh, S Ryu, Y Kim, J Kim, T Park, K Sohn 2015 IEEE International Conference on Image Processing (ICIP), 4042-4046, 2015 | 4 | 2015 |
| 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 | 2 | 2021 |
Kwanghoon SohnYonsei UniversityVerified email at yonsei.ac.kr
