Jan Lellmann

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	Toate	Din 2020
Referințe bibliografice	1889	714
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i10-index	31	20

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Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityAdresă de e-mail confirmată pe math.uni-heidelberg.de
Carola-Bibiane SchönliebDAMTP, University of CambridgeAdresă de e-mail confirmată pe cam.ac.uk
Florian BeckerSony Europe B.V.Adresă de e-mail confirmată pe sony.com
Jörg Hendrik KappesHeidelberg EngineeringAdresă de e-mail confirmată pe math.uni-heidelberg.de
Daniel CremersTechnical University of MunichAdresă de e-mail confirmată pe tum.de
Frank LenzenITK Engineering GmbHAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Nikos KomodakisAssociate Professor, Computer Science Department, University of CreteAdresă de e-mail confirmată pe csd.uoc.gr
Bernhard X. KauslerAdresă de e-mail confirmată pe kausler.net
Bjoern AndresTU DresdenAdresă de e-mail confirmată pe andres.sc
Sebastian NowozinGoogle DeepMindAdresă de e-mail confirmată pe deepmind.com
Carsten RotherProfessor Uni Heidelberg / GermanyAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Dhruv BatraPrev: FAIR (Meta AI), Georgia TechAdresă de e-mail confirmată pe dhruvbatra.com
Fred A. HamprechtProfessor, Heidelberg UniversityAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Bogdan SavchynskyyGroup Leader at Heidelberg University, GermanyAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyAdresă de e-mail confirmată pe uni-siegen.de
Evgeny StrekalovskiyTechnical University MunichAdresă de e-mail confirmată pe in.tum.de
Xiaohao CaiSchool of Electronics and Computer Science, University of SouthamptonAdresă de e-mail confirmată pe soton.ac.uk
Juheon LeeMachine Learning Engineer, MetaAdresă de e-mail confirmată pe meta.com
Jing YuanDistinguished Professor, College of Math. Med., Zhejiang Normal Univ.Adresă de e-mail confirmată pe zjnu.edu.cn
Emanuel LaudePostdoctoral Researcher, KU Leuven, BelgiumAdresă de e-mail confirmată pe esat.kuleuven.be

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Jan Lellmann

University of Luebeck

Adresă de e-mail confirmată pe uni-luebeck.de - Pagina de pornire

Image Analysis


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115, 155-184, 2015	248	2015
A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013	225	2013
Convex multi-class image labeling by simplex-constrained total variation J Lellmann, J Kappes, J Yuan, F Becker, C Schnörr International conference on scale space and variational methods in computer …, 2009	189	2009
Continuous multiclass labeling approaches and algorithms J Lellmann, C Schnörr SIAM Journal on Imaging Sciences 4 (4), 1049-1096, 2011	157	2011
Imaging with Kantorovich--Rubinstein Discrepancy J Lellmann, DA Lorenz, C Schonlieb, T Valkonen SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014	127	2014
Total variation regularization for functions with values in a manifold J Lellmann, E Strekalovskiy, S Koetter, D Cremers Proceedings of the IEEE International Conference on Computer Vision, 2944-2951, 2013	95	2013
MALDI‐imaging for classification of epithelial ovarian cancer histotypes from a tissue microarray using machine learning methods O Klein, F Kanter, H Kulbe, P Jank, C Denkert, G Nebrich, WD Schmitt, ... PROTEOMICS–Clinical Applications 13 (1), 1700181, 2019	84	2019
Individual tree species classification from airborne multisensor imagery using robust PCA J Lee, X Cai, J Lellmann, M Dalponte, Y Malhi, N Butt, M Morecroft, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016	69	2016
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
Sublabel-accurate relaxation of nonconvex energies T Mollenhoff, E Laude, M Moeller, J Lellmann, D Cremers Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	50	2016
Shape from specular reflection and optical flow J Lellmann, J Balzer, A Rieder, J Beyerer International Journal of Computer Vision 80, 226-241, 2008	45	2008
Fast and exact primal-dual iterations for variational problems in computer vision J Lellmann, D Breitenreicher, C Schnörr Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	38	2010
A matrix-free approach to parallel and memory-efficient deformable image registration L König, J Rühaak, A Derksen, J Lellmann SIAM Journal on Scientific Computing 40 (3), B858-B888, 2018	31	2018
Sublabel-accurate convex relaxation of vectorial multilabel energies E Laude, T Möllenhoff, M Moeller, J Lellmann, D Cremers Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	30	2016
Higher-order total directional variation: Imaging applications S Parisotto, J Lellmann, S Masnou, CB Schönlieb SIAM Journal on Imaging Sciences 13 (4), 2063-2104, 2020	28	2020
Analysis and application of a nonlocal Hessian J Lellmann, K Papafitsoros, C Schönlieb, D Spector SIAM Journal on Imaging Sciences 8 (4), 2161-2202, 2015	25	2015
Discrete and continuous models for partitioning problems J Lellmann, B Lellmann, F Widmann, C Schnörr International journal of computer vision 104, 241-269, 2013	25	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
Optimality bounds for a variational relaxation of the image partitioning problem J Lellmann, F Lenzen, C Schnörr Journal of mathematical imaging and vision 47, 239-257, 2013	22	2013

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