| Fast global image smoothing based on weighted least squares D Min, S Choi, J Lu, B Ham, K Sohn, MN Do IEEE Transactions on Image Processing 23 (12), 5638-5653, 2014 | 424 | 2014 |
| Context-aware emotion recognition networks J Lee, S Kim, S Kim, J Park, K Sohn Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 323 | 2019 |
| Real-time illumination invariant lane detection for lane departure warning system J Son, H Yoo, S Kim, K Sohn Expert Systems with Applications 42 (4), 1816-1824, 2015 | 286 | 2015 |
| Gradient-enhancing conversion for illumination-robust lane detection H Yoo, U Yang, K Sohn IEEE Transactions on Intelligent Transportation Systems 14 (3), 1083-1094, 2013 | 273 | 2013 |
| Apparatus for encoding a multi-view moving picture KH Sohn, JE Lim, BH Choi, JW Kim, HK Jung US Patent 6,999,513, 2006 | 193 | 2006 |
| Cost aggregation and occlusion handling with WLS in stereo matching D Min, K Sohn IEEE Transactions on Image Processing 17 (8), 1431-1442, 2008 | 178 | 2008 |
| Fcss: Fully convolutional self-similarity for dense semantic correspondence S Kim, D Min, B Ham, S Jeon, S Lin, K Sohn Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 174 | 2017 |
| 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 | 165 | 2020 |
| Visual fatigue prediction for stereoscopic image D Kim, K Sohn IEEE transactions on circuits and systems for video technology 21 (2), 231-236, 2011 | 145 | 2011 |
| 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 | 135 | 2018 |
| Unified multi-spectral pedestrian detection based on probabilistic fusion networks K Park, S Kim, K Sohn Pattern Recognition 80, 143-155, 2018 | 132 | 2018 |
| Unified depth prediction and intrinsic image decomposition from a single image via joint convolutional neural fields S Kim, K Park, K Sohn, S Lin Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 129 | 2016 |
| No-reference quality assessment for stereoscopic images based on binocular quality perception S Ryu, K Sohn IEEE Transactions on Circuits and Systems for Video Technology 24 (4), 591-602, 2013 | 129 | 2013 |
| Deinterlacing using directional interpolation and motion compensation O Kwon, K Sohn, C Lee IEEE Transactions on Consumer Electronics 49 (1), 198-203, 2003 | 125 | 2003 |
| DASC: Dense adaptive self-correlation descriptor for multi-modal and multi-spectral correspondence S Kim, D Min, B Ham, S Ryu, MN Do, K Sohn Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 119 | 2015 |
| Bridge to answer: Structure-aware graph interaction network for video question answering J Park, J Lee, K Sohn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 114 | 2021 |
| Recurrent transformer networks for semantic correspondence S Kim, S Lin, SR Jeon, D Min, K Sohn Advances in neural information processing systems 31, 2018 | 113 | 2018 |
| A stereoscopic video generation method using stereoscopic display characterization and motion analysis D Kim, D Min, K Sohn IEEE Transactions on broadcasting 54 (2), 188-197, 2008 | 110 | 2008 |
| Interpolation using neural networks for digital still cameras J Go, K Sohn, C Lee IEEE Transactions on Consumer Electronics 46 (3), 610-616, 2000 | 105 | 2000 |
| Fast disparity and motion estimation for multi-view video coding Y Kim, J Kim, K Sohn IEEE transactions on consumer electronics 53 (2), 712-719, 2007 | 98 | 2007 |
Dongbo MinComputer Science and Engineering, Ewha Womans University, KoreaVerified email at ewha.ac.kr
