| Blood vessel classification into arteries and veins in retinal images C Kondermann, D Kondermann, M Yan Medical imaging 2007: image processing 6512, 1401-1409, 2007 | 141 | 2007 |
| Spatially Varying Color Distributions for Interactive Multilabel Segmentation C Nieuwenhuis, D Cremers Transactions on Pattern Analysis and Machine Intelligence 35 (5), 1234-1247, 2013 | 92 | 2013 |
| A survey and comparison of discrete and continuous multi-label optimization approaches for the Potts model C Nieuwenhuis, E Töppe, D Cremers International journal of computer vision 104, 223-240, 2013 | 83 | 2013 |
| A statistical confidence measure for optical flows C Kondermann, R Mester, C Garbe Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 74 | 2008 |
| Convexity shape prior for binary segmentation L Gorelick, O Veksler, Y Boykov, C Nieuwenhuis IEEE transactions on pattern analysis and machine intelligence 39 (2), 258-271, 2016 | 57 | 2016 |
| Convexity shape prior for segmentation L Gorelick, O Veksler, Y Boykov, C Nieuwenhuis Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 52 | 2014 |
| An adaptive confidence measure for optical flows based on linear subspace projections C Kondermann, D Kondermann, B Jähne, C Garbe Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007 | 50 | 2007 |
| Bootstrap optical flow confidence and uncertainty measure J Kybic, C Nieuwenhuis Computer Vision and Image Understanding 115 (10), 1449-1462, 2011 | 48 | 2011 |
| Efficient squared curvature C Nieuwenhuis, E Toeppe, L Gorelick, O Veksler, Y Boykov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 40 | 2014 |
| Relative volume constraints for single view 3D reconstruction E Toppe, C Nieuwenhuis, D Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 28 | 2013 |
| Co-sparse textural similarity for interactive segmentation C Nieuwenhuis, S Hawe, M Kleinsteuber, D Cremers European conference on computer vision, 285-301, 2014 | 23 | 2014 |
| A Review of Geometry Recovery from a Single Image Focusing on Curved Object Reconstruction MR Oswald, E Töppe, C Nieuwenhuis, D Cremers Innovations for Shape Analysis: Models and Algorithms, 343-378, 2013 | 23 | 2013 |
| Proportion Priors for Image Sequence Segmentation C Nieuwenhuis, E Strekalovskiy, D Cremers International Conference on Computer Vision, 2013 | 18 | 2013 |
| Knowledge based image enhancement using neural networks C Nieuwenhuis, M Yan 18th International Conference on Pattern Recognition (ICPR'06) 3, 814-817, 2006 | 18 | 2006 |
| Nonmetric priors for continuous multilabel optimization E Strekalovskiy, C Nieuwenhuis, D Cremers Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 17 | 2012 |
| Postprocessing of optical flows via surface measures and motion inpainting C Kondermann, D Kondermann, C Garbe Pattern Recognition: 30th DAGM Symposium Munich, Germany, June 10-13, 2008 …, 2008 | 17 | 2008 |
| A comprehensive study on cross-view gait based human identification with deep cnns Z Wu, Y Huang, L Wang, X Wang, T Tan, T Liu, D Tao, M Song, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 1-1, 0 | 16 | |
| Proximity Priors for Variational Semantic Segmentation and Recognition J Bergbauer, C Nieuwenhuis, M Souiai, D Cremers ICCV Workshop on Graphical Models for Scene Understanding: Challenges and …, 2013 | 15* | 2013 |
| Reconstructing optical flow fields by motion inpainting B Berkels, C Kondermann, C Garbe, M Rumpf Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009 | 15 | 2009 |
| Interactive motion segmentation C Nieuwenhuis, B Berkels, M Rumpf, D Cremers Pattern Recognition: 32nd DAGM Symposium, Darmstadt, Germany, September 22 …, 2010 | 12 | 2010 |
Daniel CremersTechnical University of MunichVerified email at tum.de
