| Statistical model-based change detection in moving video T Aach, A Kaup, R Mester Signal processing 31 (2), 165-180, 1993 | 568 | 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 | 254 | 2007 |
| The role of total least squares in motion analysis M Mühlich, R Mester European Conference on Computer Vision, 305-321, 1998 | 140 | 1998 |
| Deepprivacy: A generative adversarial network for face anonymization H Hukkelås, R Mester, F Lindseth International symposium on visual computing, 565-578, 2019 | 94 | 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 | 88 | 2016 |
| Illumination-invariant change detection using a statistical colinearity criterion R Mester, T Aach, L Dümbgen Joint Pattern Recognition Symposium, 170-177, 2001 | 79 | 2001 |
| Robust stereo visual odometry from monocular techniques M Persson, T Piccini, M Felsberg, R Mester 2015 IEEE Intelligent Vehicles Symposium (IV), 686-691, 2015 | 78 | 2015 |
| On texture analysis: Local energy transforms versus quadrature filters T Aach, A Kaup, R Mester Signal processing 45 (2), 173-181, 1995 | 66 | 1995 |
| A statistical confidence measure for optical flows C Kondermann, R Mester, C Garbe Computer Vision ECCV 2008, 290-301, 2008 | 65 | 2008 |
| Subspace methods and equilibration in computer vision M Mühlich, R Mester Scandinavian Conference on Image Analysis, 415-422, 2001 | 60 | 2001 |
| 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 | 59 | 2011 |
| Bayesian illumination-invariant motion detection T Aach, L Dümbgen, R Mester, D Toth Image Processing, 2001. Proceedings. 2001 International Conference on 3, 640 …, 2001 | 50 | 2001 |
| 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 | 50 | 1993 |
| Robust displacement vector estimation including a statistical error analysis R Mester, M Hotter IET Digital Library, 1995 | 49 | 1995 |
| 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 | 47 | 2008 |
| Contour-relaxed superpixels C Conrad, M Mertz, R Mester International workshop on energy minimization methods in computer vision and …, 2013 | 43 | 2013 |
| Spectral entropy-activity classification in adaptive transform coding R Mester, U Franke IEEE Journal on Selected Areas in Communications 10 (5), 913-917, 1992 | 43 | 1992 |
| Orientation estimation: Conventional techniques and a new non-differential approach R Mester 2000 10th European Signal Processing Conference, 1-4, 2000 | 40 | 2000 |
| Statistical model based image segmentation using region growing, contour relaxation and classification R Mester, U Franke Visual Communications and Image Processing'88: Third in a Series 1001, 616-624, 1988 | 40 | 1988 |
| Know your limits: Accuracy of long range stereoscopic object measurements in practice P Pinggera, D Pfeiffer, U Franke, R Mester European conference on computer vision, 96-111, 2014 | 39 | 2014 |
André KaupProfessor, Friedrich-Alexander University Erlangen-NurembergVerified email at fau.de
