Florian Becker

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	Toate	Din 2020
Referințe bibliografice	675	109
h-index	13	6
i10-index	14	3

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityAdresă de e-mail confirmată pe math.uni-heidelberg.de
Frank LenzenITK Engineering GmbHAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Jan LellmannUniversity of LuebeckAdresă de e-mail confirmată pe uni-luebeck.de
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Adresă de e-mail confirmată pe zjnu.edu.cn
Jörg Hendrik KappesHeidelberg EngineeringAdresă de e-mail confirmată pe math.uni-heidelberg.de
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityAdresă de e-mail confirmată pe mia.uni-saarland.de
Martin WelkAssociate Professor for Image AnalysisAdresă de e-mail confirmată pe umit-tirol.at
Johannes BergerImage and Pattern Analysis Group, Heidelberg UniversityAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityAdresă de e-mail confirmată pe mpi-inf.mpg.de

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Florian Becker

Sony Europe B.V.

Adresă de e-mail confirmată pe sony.com

Computer Vision Digital Image Processing and Analysis


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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
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
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	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 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

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