| Convex multi-class image labeling by simplex-constrained total variation J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr Scale Space and Variational Methods in Computer Vision: Second International …, 2009 | 189 | 2009 |
| Median and related local filters for tensor-valued images M Welk, J Weickert, F Becker, C Schnörr, C Feddern, B Burgeth Signal Processing 87 (2), 291-308, 2007 | 88 | 2007 |
| Convex optimization for multi-class image labeling with a novel family of total variation based regularizers J Lellmann, F Becker, C Schnörr 2009 IEEE 12th International Conference on Computer Vision, 646-653, 2009 | 65 | 2009 |
| A class of quasi-variational inequalities for adaptive image denoising and decomposition F Lenzen, F Becker, J Lellmann, S Petra, C Schnörr Computational Optimization and Applications 54, 371-398, 2013 | 52 | 2013 |
| Denoising strategies for time-of-flight data F Lenzen, KI Kim, H Schäfer, R Nair, S Meister, F Becker, CS Garbe, ... Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications …, 2013 | 38 | 2013 |
| Variational Adaptive Correlation Method for Flow Estimation F Becker, B Wieneke, S Petra, A Schröder, C Schnörr Transactions on Image Processing 21 (6), 3053-3065, 2012 | 36 | 2012 |
| Optical flow F Becker, S Petra, C Schnörr | 31 | 2015 |
| Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences F Becker, F Lenzen, JH Kappes, C Schnörr International Journal of Computer Vision 105 (3), 269-297, 2013 | 22 | 2013 |
| Adaptive second-order total variation: An approach aware of slope discontinuities F Lenzen, F Becker, J Lellmann Scale Space and Variational Methods in Computer Vision: 4th International …, 2013 | 22 | 2013 |
| Variational recursive joint estimation of dense scene structure and camera motion from monocular high speed traffic sequences F Becker, F Lenzen, JH Kappes, C Schnörr Computer Vision (ICCV), 2011 IEEE International Conference on, 1692-1699, 2011 | 22 | 2011 |
| Matrix-valued filters as convex programs M Welk, F Becker, C Schnörr, J Weickert Scale Space and PDE Methods in Computer Vision: 5th International Conference …, 2005 | 15 | 2005 |
| Solving quasi-variational inequalities for image restoration with adaptive constraint sets F Lenzen, J Lellmann, F Becker, C Schnorr SIAM Journal on Imaging Sciences 7 (4), 2139-2174, 2014 | 14 | 2014 |
| B-SMART: Bregman-based first-order algorithms for non-negative compressed sensing problems S Petra, C Schnörr, F Becker, F Lenzen Scale Space and Variational Methods in Computer Vision: 4th International …, 2013 | 13 | 2013 |
| A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry F Becker, B Wieneke, J Yuan, C Schnörr Pattern Recognition - 30th DAGM Symposium, volume 5096 of LNCS, 335-344, 2008 | 13 | 2008 |
| Second Order Minimum Energy Filtering on with Nonlinear Measurement Equations J Berger, A Neufeld, F Becker, F Lenzen, C Schnörr International Conference on Scale Space and Variational Methods in Computer …, 2015 | 12 | 2015 |
| Variational image denoising with adaptive constraint sets F Lenzen, F Becker, J Lellmann, S Petra, C Schnörr Scale Space and Variational Methods in Computer Vision: Third International …, 2012 | 9 | 2012 |
| A study of non-smooth convex flow decomposition J Yuan, C Schnörr, G Steidl, F Becker International Workshop on Variational, Geometric, and Level Set Methods in …, 2005 | 9 | 2005 |
| Second-Order Recursive Filtering on the Rigid-Motion Lie Group Based on Nonlinear Observations J Berger, F Lenzen, F Becker, A Neufeld, C Schnörr Journal of Mathematical Imaging and Vision 58 (1), 102-129, 2017 | 6 | 2017 |
| Estimating vehicle ego-motion and piecewise planar scene structure from optical flow in a continuous framework A Neufeld, J Berger, F Becker, F Lenzen, C Schnörr Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 6 | 2015 |
| Matrix-valued filters as convex programs F Becker Master's thesis, CVGPR group, University of Mannheim, 2004 | 6 | 2004 |
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
