| 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 |
| Depth video enhancement based on weighted mode filtering D Min, J Lu, MN Do IEEE Transactions on Image Processing 21 (3), 1176-1190, 2011 | 307 | 2011 |
| Cross-scale cost aggregation for stereo matching K Zhang, Y Fang, D Min, L Sun, S Yang, S Yan, Q Tian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 268 | 2014 |
| Patch match filter: Efficient edge-aware filtering meets randomized search for fast correspondence field estimation J Lu, H Yang, D Min, MN Do Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 206 | 2013 |
| Cross-based local multipoint filtering J Lu, K Shi, D Min, L Lin, MN Do 2012 IEEE conference on computer vision and pattern recognition, 430-437, 2012 | 203 | 2012 |
| 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 | 176 | 2017 |
| 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 | 137 | 2018 |
| Comprehensive survey of recent drug discovery using deep learning J Kim, S Park, D Min, W Kim International Journal of Molecular Sciences 22 (18), 9983, 2021 | 133 | 2021 |
| A revisit to cost aggregation in stereo matching: How far can we reduce its computational redundancy? D Min, J Lu, MN Do 2011 International Conference on Computer Vision, 1567-1574, 2011 | 124 | 2011 |
| A revisit to MRF-based depth map super-resolution and enhancement J Lu, D Min, RS Pahwa, MN Do 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 119 | 2011 |
| 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 | 118 | 2015 |
| Recurrent transformer networks for semantic correspondence S Kim, S Lin, SR Jeon, D Min, K Sohn Advances in neural information processing systems 31, 2018 | 114 | 2018 |
| High‐Level Synthesis: Productivity, Performance, and Software Constraints Y Liang, K Rupnow, Y Li, D Min, MN Do, D Chen Journal of Electrical and Computer Engineering 2012 (1), 649057, 2012 | 113 | 2012 |
| Fast guided global interpolation for depth and motion Y Li, D Min, MN Do, J Lu Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 112 | 2016 |
| SPM-BP: Sped-up PatchMatch belief propagation for continuous MRFs Y Li, D Min, MS Brown, MN Do, J Lu Proceedings of the IEEE International Conference on Computer Vision, 4006-4014, 2015 | 110 | 2015 |
| 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 | 108 | 2008 |
| Unsupervised low-light image enhancement using bright channel prior H Lee, K Sohn, D Min IEEE Signal Processing Letters 27, 251-255, 2020 | 91 | 2020 |
| Joint histogram-based cost aggregation for stereo matching D Min, J Lu, MN Do IEEE transactions on pattern analysis and machine intelligence 35 (10), 2539 …, 2013 | 86 | 2013 |
| KNN local attention for image restoration H Lee, H Choi, K Sohn, D Min Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 72 | 2022 |
Kwanghoon SohnYonsei UniversityVerified email at yonsei.ac.kr
