| A convex formulation of continuous multi-label problems T Pock, T Schoenemann, G Graber, H Bischof, D Cremers Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 274 | 2008 |
| Video Super Resolution Using Duality Based TV-L 1 Optical Flow D Mitzel, T Pock, T Schoenemann, D Cremers Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11 …, 2009 | 174 | 2009 |
| Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation T Schoenemann, F Kahl, D Cremers 2009 IEEE 12th International Conference on Computer Vision, 17-23, 2009 | 127 | 2009 |
| An experimental comparison of discrete and continuous shape optimization methods M Klodt, T Schoenemann, K Kolev, M Schikora, D Cremers Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 97 | 2008 |
| A linear framework for region-based image segmentation and inpainting involving curvature penalization T Schoenemann, F Kahl, S Masnou, D Cremers arXiv preprint arXiv:1102.3830, 2011 | 82 | 2011 |
| Globally optimal image segmentation with an elastic shape prior T Schoenemann, D Cremers 2007 IEEE 11th International Conference on Computer Vision, 1-6, 2007 | 76 | 2007 |
| Introducing curvature into globally optimal image segmentation: Minimum ratio cycles on product graphs T Schoenemann, D Cremers 2007 IEEE 11th International Conference on Computer Vision, 1-6, 2007 | 67 | 2007 |
| Near real-time motion segmentation using graph cuts T Schoenemann, D Cremers Joint Pattern Recognition Symposium, 455-464, 2006 | 60 | 2006 |
| A combinatorial solution for model-based image segmentation and real-time tracking T Schoenemann, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (7), 1153-1164, 2009 | 59 | 2009 |
| High resolution motion layer decomposition using dual-space graph cuts T Schoenemann, D Cremers 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2008 | 42 | 2008 |
| The elastic ratio: Introducing curvature into ratio-based image segmentation T Schoenemann, S Masnou, D Cremers IEEE Transactions on Image Processing 20 (9), 2565-2581, 2011 | 39 | 2011 |
| Warpcut–fast obstacle segmentation in monocular video A Wedel, T Schoenemann, T Brox, D Cremers Joint Pattern Recognition Symposium, 264-273, 2007 | 37 | 2007 |
| Globally optimal shape-based tracking in real-time T Schoenemann, D Cremers 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2008 | 30 | 2008 |
| Matching non-rigidly deformable shapes across images: A globally optimal solution T Schoenemann, D Cremers 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2008 | 27 | 2008 |
| Generalized sequential tree-reweighted message passing V Kolmogorov, T Schoenemann arXiv preprint arXiv:1205.6352, 2012 | 21 | 2012 |
| Parallel and distributed vision algorithms using dual decomposition P Strandmark, F Kahl, T Schoenemann Computer Vision and Image Understanding 115 (12), 1721-1732, 2011 | 19 | 2011 |
| Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input T Windheuser, T Schoenemann, D Cremers 2009 IEEE 12th International Conference on Computer Vision, 717-722, 2009 | 15 | 2009 |
| A coding-cost framework for super-resolution motion layer decomposition T Schoenemann, D Cremers IEEE transactions on image processing 21 (3), 1097-1110, 2011 | 13 | 2011 |
| Computing optimal alignments for the IBM-3 translation model T Schoenemann Proceedings of the Fourteenth Conference on Computational Natural Language …, 2010 | 13 | 2010 |
| Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. T Schoenemann, FR Schmidt, D Cremers BMVC, 1-10, 2008 | 9 | 2008 |
