| Loss-specific training of non-parametric image restoration models: A new state of the art J Jancsary, S Nowozin, C Rother Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 179 | 2012 |
| Discriminative non-blind deblurring U Schmidt, C Rother, S Nowozin, J Jancsary, S Roth Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 172 | 2013 |
| Joint demosaicing and denoising via learned nonparametric random fields D Khashabi, S Nowozin, J Jancsary, AW Fitzgibbon IEEE Transactions on Image Processing 23 (12), 4968-4981, 2014 | 132 | 2014 |
| Cascades of regression tree fields for image restoration U Schmidt, J Jancsary, S Nowozin, S Roth, C Rother IEEE transactions on pattern analysis and machine intelligence 38 (4), 677-689, 2015 | 117 | 2015 |
| Regression Tree Fields—An efficient, non-parametric approach to image labeling problems J Jancsary, S Nowozin, T Sharp, C Rother 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2376-2383, 2012 | 98 | 2012 |
| System and method for review of automated clinical documentation PJ Vozila, GRM Gallopyn, UH Jost, M Helletzgruber, JM Jancsary, ... US Patent App. 16/292,893, 2019 | 40 | 2019 |
| Advanced structured prediction S Nowozin, PV Gehler, J Jancsary, CH Lampert MIT Press, 2014 | 40 | 2014 |
| Interleaved regression tree field cascades for blind image deconvolution K Schelten, S Nowozin, J Jancsary, C Rother, S Roth 2015 IEEE Winter Conference on Applications of Computer Vision, 494-501, 2015 | 32 | 2015 |
| Blind image deblurring with cascade architecture K Schelten, RSB Nowozin, J Jancsary, CCE Rother US Patent 9,430,817, 2016 | 29 | 2016 |
| Convergent Decomposition Solvers for Tree-reweighted Free Energies J Jancsary, G Matz Journal of Machine Learning Research - Proceedings Track 15, 388-398, 2011 | 26 | 2011 |
| System and method for review of automated clinical documentation from recorded audio PJ Vozila, GRM Gallopyn, UH Jost, M Helletzgruber, JM Jancsary, ... US Patent 11,222,716, 2022 | 25 | 2022 |
| Image demosaicing RSB Nowozin, D Khashabi, JM Jancsary, BJ Lindbloom, AW Fitzgibbon US Patent 9,344,690, 2016 | 24 | 2016 |
| Image restoration cascade J Jancsary, RSB Nowozin, CCE Rother US Patent 9,396,523, 2016 | 22 | 2016 |
| Revealing the structure of medical dictations with conditional random fields J Jancsary, J Matiasek, H Trost Proceedings of the 2008 conference on empirical methods in natural language …, 2008 | 18 | 2008 |
| Towards context-aware personalization and a broad perspective on the semantics of news articles J Jancsary, F Neubarth, H Trost Proceedings of the fourth ACM conference on Recommender systems, 289-292, 2010 | 17 | 2010 |
| Learning convex QP relaxations for structured prediction J Jancsary, S Nowozin, C Rother International Conference on Machine Learning, 915-923, 2013 | 16 | 2013 |
| Image deblurring J Jancsary, UJ Schmidt, RSB Nowozin, CCE Rother US Patent App. 13/862,415, 2014 | 12 | 2014 |
| System and method for review of automated clinical documentation PJ Vozila, GRM Gallopyn, UH Jost, M Helletzgruber, JM Jancsary, ... US Patent App. 16/292,895, 2019 | 10 | 2019 |
| 7 བ Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Applications in Computer Vision G Papandreou, A Yuille Advanced structured prediction, 159, 2014 | 10 | 2014 |
| Automated clinical documentation system and method JM Jancsary, C Drexel, L Milanovic US Patent App. 16/271,029, 2019 | 8 | 2019 |