| Statistical model-based change detection in moving video T Aach, A Kaup, R Mester Signal processing 31 (2), 165-180, 1993 | 567 | 1993 |
| Free space computation using stochastic occupancy grids and dynamic programming H Badino, U Franke, R Mester Workshop on Dynamical Vision, ICCV, Rio de Janeiro, Brazil 20, 73, 2007 | 282 | 2007 |
| Deepprivacy: A generative adversarial network for face anonymization H Hukkelås, R Mester, F Lindseth International symposium on visual computing, 565-578, 2019 | 269 | 2019 |
| Lost and found: detecting small road hazards for self-driving vehicles P Pinggera, S Ramos, S Gehrig, U Franke, C Rother, R Mester 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 194 | 2016 |
| The role of total least squares in motion analysis M Mühlich, R Mester Computer Vision—ECCV’98: 5th European Conference on Computer Vision …, 1998 | 145 | 1998 |
| Robust stereo visual odometry from monocular techniques M Persson, T Piccini, M Felsberg, R Mester 2015 IEEE Intelligent Vehicles Symposium (IV), 686-691, 2015 | 86 | 2015 |
| Illumination-invariant change detection using a statistical colinearity criterion R Mester, T Aach, L Dümbgen Pattern Recognition: 23rd DAGM Symposium Munich, Germany, September 12–14 …, 2001 | 81 | 2001 |
| A statistical confidence measure for optical flows C Kondermann, R Mester, C Garbe Computer Vision ECCV 2008, 290-301, 2008 | 76 | 2008 |
| On texture analysis: Local energy transforms versus quadrature filters T Aach, A Kaup, R Mester Signal processing 45 (2), 173-181, 1995 | 70 | 1995 |
| Illumination-robust dense optical flow using census signatures T Müller, C Rabe, J Rannacher, U Franke, R Mester Joint Pattern Recognition Symposium, 236-245, 2011 | 64 | 2011 |
| Subspace methods and equilibration in computer vision M Mühlich, R Mester Scandinavian Conference on Image Analysis, 415-422, 2001 | 63 | 2001 |
| Sdnet: Semantically guided depth estimation network M Ochs, A Kretz, R Mester Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 61 | 2019 |
| Mono-sf: Multi-view geometry meets single-view depth for monocular scene flow estimation of dynamic traffic scenes F Brickwedde, S Abraham, R Mester Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 59 | 2019 |
| Know your limits: Accuracy of long range stereoscopic object measurements in practice P Pinggera, D Pfeiffer, U Franke, R Mester Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 58 | 2014 |
| Contour-relaxed superpixels C Conrad, M Mertz, R Mester Energy Minimization Methods in Computer Vision and Pattern Recognition: 9th …, 2013 | 56 | 2013 |
| Change detection in image sequences using Gibbs random fields: a Bayesian approach T Aach, A Kaup, R Mester Proc. Int. Workshop on Intelligent Signal Processing and Communication …, 1993 | 53 | 1993 |
| Bayesian illumination-invariant motion detection T Aach, L Dümbgen, R Mester, D Toth Image Processing, 2001. Proceedings. 2001 International Conference on 3, 640 …, 2001 | 49 | 2001 |
| Stereo-based free space computation in complex traffic scenarios H Badino, R Mester, T Vaudrey, U Franke, AG Daimler 2008 IEEE Southwest Symposium on Image Analysis and Interpretation, 189-192, 2008 | 48 | 2008 |
| Robust displacement vector estimation including a statistical error analysis R Mester, M Hotter IET Digital Library, 1995 | 47 | 1995 |
| Spectral entropy-activity classification in adaptive transform coding R Mester, U Franke IEEE Journal on Selected Areas in Communications 10 (5), 913-917, 1992 | 47 | 1992 |
André KaupProfessor, Friedrich-Alexander University Erlangen-Nurembergfau.de의 이메일 확인됨
