Florian Becker

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityPatvirtintas el. paštas math.uni-heidelberg.de
Frank LenzenITK Engineering GmbHPatvirtintas el. paštas iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckPatvirtintas el. paštas uni-luebeck.de
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Patvirtintas el. paštas zjnu.edu.cn
Jörg Hendrik KappesHeidelberg EngineeringPatvirtintas el. paštas math.uni-heidelberg.de
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityPatvirtintas el. paštas mia.uni-saarland.de
Martin WelkAssociate Professor for Image AnalysisPatvirtintas el. paštas umit-tirol.at
Johannes BergerImage and Pattern Analysis Group, Heidelberg UniversityPatvirtintas el. paštas iwr.uni-heidelberg.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityPatvirtintas el. paštas mpi-inf.mpg.de

Stebėti

Florian Becker

Sony Europe B.V.

Patvirtintas el. paštas sony.com

Computer Vision Digital Image Processing and Analysis


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	89	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
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	38	2012
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	37	2013
Optical flow F Becker, S Petra, C Schnörr	33	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	23	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	23	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	23	2011
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	15	2014
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	15	2008
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
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	14	2015
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
Variational image denoising with adaptive constraint sets F Lenzen, F Becker, J Lellmann, S Petra, C Schnörr International Conference on Scale Space and Variational Methods in Computer …, 2011	9	2011
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

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