Jan Lellmann
Jan Lellmann
University of Luebeck
Bestätigte E-Mail-Adresse bei uni-luebeck.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3212013
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
1582009
Continuous multiclass labeling approaches and algorithms
J Lellmann, C Schnörr
SIAM Journal on Imaging Sciences 4 (4), 1049-1096, 2011
1162011
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
662013
Imaging with Kantorovich--Rubinstein Discrepancy
J Lellmann, DA Lorenz, C Schonlieb, T Valkonen
SIAM Journal on Imaging Sciences 7 (4), 2833-2859, 2014
622014
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
582009
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 (2), 371-398, 2013
412013
Shape from specular reflection and optical flow
J Lellmann, J Balzer, A Rieder, J Beyerer
International Journal of Computer Vision 80 (2), 226-241, 2008
382008
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
352016
Fast and exact primal-dual iterations for variational problems in computer vision
J Lellmann, D Breitenreicher, C Schnörr
European conference on computer vision, 494-505, 2010
342010
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
302016
Adaptive second-order total variation: An approach aware of slope discontinuities
F Lenzen, F Becker, J Lellmann
International Conference on Scale Space and Variational Methods in Computer …, 2013
212013
Discrete and continuous models for partitioning problems
J Lellmann, B Lellmann, F Widmann, C Schnörr
International journal of computer vision 104 (3), 241-269, 2013
182013
Sublabel-accurate convex relaxation of vectorial multilabel energies
E Laude, T Möllenhoff, M Moeller, J Lellmann, D Cremers
European conference on computer vision, 614-627, 2016
152016
Optimality bounds for a variational relaxation of the image partitioning problem
J Lellmann, F Lenzen, C Schnörr
Journal of mathematical imaging and vision 47 (3), 239-257, 2013
122013
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
112014
Convex relaxations for a generalized chan-vese model
E Bae, J Lellmann, XC Tai
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
112013
Optimality bounds for a variational relaxation of the image partitioning problem
J Lellmann, F Lenzen, C Schnörr
International Workshop on Energy Minimization Methods in Computer Vision and …, 2011
112011
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
102019
Measure-valued variational models with applications to diffusion-weighted imaging
T Vogt, J Lellmann
Journal of Mathematical Imaging and Vision 60 (9), 1482-1502, 2018
102018
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