Publications

2019

978-3-030-22368-7.jpgScale Space and Variational Methods in Computer Vision SSVM 2019, 7th International Conference, Proceedings
J. Lellmann, M. Burger, J. Modersitzki (Eds.), Springer Lecture Notes in Computer Science (LNCS), 2019.
SpringerLink

Lifting methods for manifold-valued variational problems
T. Vogt, J. Lellmann, Handbook of Variational Methods for Nonlinear Geometric Data, 2019. In press.
pdf (preprint)

Functional Liftings of Vectorial Variational Problems with Laplacian Regularization
T. Vogt, E. Strekalovskiy, D. Cremers, J. Lellmann, SpringerSVM 2019.
pdf (preprint)

2018

Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging
T. Vogt, J. Lellmann, JMIV 2018 (online first).
Springer full text | SpringerLink | pdf (preprint)

A matrix-free approach to parallel and memory-efficient deformable image registration
Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann, SIAM Journal on Scientific Computing (SISC)
pdf (full text) | SIAM epubs | pdf (preprint)

MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods
Oliver Klein, Frederic Kanter, Hagen Kulbe, Paul Jank, Carsten Denkert, Grit Nebrich, Wolfgang D. Schmitt, Zhiyang Wu, Catarina A. Kunze, Jalid Sehouli, Silvia Darb-Esfahani, Ioana Braicu, Jan Lellmann, Herbert Thiele, Eliane T. Taube, Proteomics Clinical Applications, 2018.
Wiley (full text) | Wiley Online Library

Functional Lifting for Variational Problems with Higher-Order Regularization
B. Loewenhauser, J. Lellmann, IVLOPDE 2018 (online first).
SpringerLink

Fully-deformable 3D image registration in two seconds
Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann, Accepted for oral presentation at BVM 2019
pdf (preprint)

A multi-contrast MRI approach to thalamus segmentation
Veronica Corona, Jan Lellmann, Peter Nestor, Carola-Bibiane Schönlieb, Julio Acosta-Cabronero, To appear.

2017

Image reconstruction with imperfect forward models and applications in deblurring
Y. Korolev, J. Lellmann, SIAM J. Imaging Sci. 11(1), 197-218, 2018
pdf (preprint) | SIAM epubs

An Optimal Transport-Based Restoration Method for Q-Ball Imaging
T. Vogt, J. Lellmann, Scale Space Var. Meth. Comp. Vis. (SSVM), 2017
pdf (preprint) | SpringerLink

2016

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
E. Laude, T. Möllenhoff, M. Möller, J. Lellmann, D. Cremers. ECCV 2016.
pdf (preprint) | SpringerLink

Sublabel–Accurate Relaxation of Nonconvex Energies
T. Möllenhoff, E. Laude, M. Möller, J. Lellmann, D. Cremers.
Best Paper Honorable Mention at CVPR 2016.
pdf (preprint) | IEEE Xplore | Talk at CVPR'16 | Poster at CVPR'16 | Talk at SIAM IS'16

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, C.-B. Schönlieb, D. Coomes. J. Appl. Earth Obs. Remote Sensing, 2016. In Press.
pdf (preprint) | IEEE Xplore

2015

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnörr, S. Nowozin, D. Batra, S. Kim, B. X. Kausler, T. Kröger, J. Lellmann, N. Komodakis, B. Savchynskyy, and C. Rother, Int. J. Computer Vision, 2015.
pdf (preprint) | SpringerLink | Source code and benchmark data

Analysis and Application of a non-local Hessian
J. Lellmann, K. Papafitsoros, C. Schönlieb, D. Spector, SIAM J. Imaging Sci., 8(4), 2161–2202, 2015
pdf (preprint) | SpringerLink |Talk at SIAM Conference on Imaging Science 2014, Hong Kong | Poster at the RICAM Special Semester on New Trends in Calculus of Variations 2014, Linz

2014

Imaging with Kantorovich-Rubinstein Discrepancy
J. Lellmann, D. A. Lorenz, C. Schönlieb, T. Valkonen, SIAM J. Imaging Sci., 7(4), 2833–2859, 2014
pdf (preprint) | SIAM epubs

Solving QVIs for Image Denoising with Adaptive Constraint Sets
F. Lenzen, J. Lellmann, F. Becker, and C. Schnörr, to appear in: SIAM Journal on Imaging Science, 2014
pdf (preprint)

2013

Total Variation Regularization for Functions with Values in a Manifold
J. Lellmann, E. Strekalovskiy, S. Koetter, and D. Cremers, to appear in: Int. Conf. Comp. Vis. (ICCV), 2013
pdf (preprint) | source code

Anisotropic Third-Order Regularization for Sparse Digital Elevation Models
J. Lellmann, J.-M. Morel, and C. Schönlieb, Scale Space Var. Meth. Comp. Vis. (SSVM), 2013
pdf | Talk at SSVM 2013 | benchmark dataset

Adaptive Second-Order Total Variation: An Approach Aware of Surface Discontinuities
F. Lenzen, F. Becker, and J. Lellmann, Scale Space Var. Meth. Comp. Vis. (SSVM), 2013
pdf | Poster at SSVM 2013

Convex relaxations for a generalized Chan-Vese model
Egil Bae, Jan Lellmann, and Xue-Cheng Tai, Energy Min. Meth. Comp. Vis. Pattern Recogn. (EMMCVPR), 2013
pdf

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schnörr, S. Nowozin, D. Batra, S. Kim, B. X. Kausler, J. Lellmann, N. Komodakis, and C. Rother, Comp. Vis. Patt. Recogn. (CVPR) 2013.
IEEE Xplore | Source code and benchmark data

Discrete and Continuous Models for Partitioning Problems
J. Lellmann, B. Lellmann, F. Widmann, and C. Schnörr, International Journal of Computer Vision, 2013 (online first).
pdf | SpringerLink

2012

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
J. Lellmann, F. Lenzen, and C. Schnörr, Journal of Mathematical Imaging and Vision, 2012
pdf | SpringerLink | Talk at SIAM IS'12

A class of quasi-variational inequalities for adaptive image denoising and decomposition
F. Lenzen, F. Becker, J. Lellmann, S. Petra, and C. Schnörr, Comput. Optim. Appl., 2012
pdf | SpringerLink

COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis
D. Breitenreicher, J. Lellmann, and C. Schnörr, Optimization Methods and Software, 2012
Taylor & Francis

2011

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
J. Lellmann, F. Lenzen, and C. Schnörr, Energy Min. Meth. Comp. Vis. Patt. Recogn. (EMMCVPR), 2011
pdf | Talk at EMMCVPR'11 | Extended Technical Report (arXiv)

Variational Image Denoising with Adaptive Constraint Sets
F. Lenzen, F. Becker, and J. Lellmann, S. Petra, and C. Schnörr, Scale Space Var. Meth. Comp. Vis. (SSVM), 2011
pdf

Sparse Template-Based Variational Image Segmentation
D. Breitenreicher, J. Lellmann, and C. Schnörr}, Advances in Adaptive Data Analysis, 2011
pdf | AADA

2010

Continuous Multiclass Labeling Approaches and Algorithms
J. Lellmann and C. Schnörr, SIAM Journal on Imaging Sciences, 2011.
arXiv (revised technical report 2010) | HeiDOK (original technical report) | SIAM epubs

Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
J. Lellmann, D. Breitenreicher, and C. Schnörr, Europ. Conf. Comp. Vis. (ECCV), 2010
pdf | SpringerLink | Poster at ECCV 2010 | Spotlight Slide

2009

Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers
J. Lellmann, F. Becker, and C. Schnörr, Int. Conf. Comp. Vis. (ICCV), 2009
pdf | IEEE Xplore | Poster at ICCV09

Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation
J. Lellmann, J. Kappes, J. Yuan, F. Becker, and C. Schnörr, Scale Space Var. Meth. Comp. Vis. (SSVM), 2009
pdf | SpringerLink | Talk at SSVM'09 | Extended Tech. Rep. (Oct. 2008)

Thesis

  • Jan Lellmann: Nonsmooth Convex Variational Approaches to Image Analysis. University of Heidelberg, 2011 pdf

Invited and Workshop Talks

  • J. Lellmann: Measure-Valued Variational Image Processing Invited talk at IPAM Workshop on Geometric Processing as part of the long program “Geometry and Learning from Data in 3D and Beyond”, UCLA, Los Angles, 2019. pdf
  • J. Lellmann: Manifolds & Relaxation Invited talk at CM2 Workshop on Manifold-Valued Image Processing, Kaiserslautern, 2016.
  • J. Lellmann, E. Laude, T. Möllenhoff, D. Cremers, M. Möller, E. Strekalovskiy: Precise relaxation methods in image processing Invited talk at Imaging, Vision and Learning based on Optimization and PDEs (IVLOPDE), Bergen, 2016. pdf
  • J. Lellmann, E. Laude, T. Möllenhoff, D. Cremers, M. Möller, E. Strekalovskiy: Precise Relaxation for Motion Estimation SIAM Conference on Imaging Science, Albuquerque, 2016. pdf
  • F. Lenzen, J. Lellmann, F. Becker, S. Petra, J. Berger, C. Schnörr: Solution-driven Adaptive Total Variation Regularization SIAM Conference on Imaging Science, Albuquerque, 2016. pdf
  • J. Lellmann, E. Laude, T. Moellenhoff, D. Cremers, M. Moeller, E. Strekalovskiy: Relaxation Methods in Variational Image Processing 37th Northern German Colloquium on Applied Analysis and Numerical Mathematics, Lübeck, 2016. pdf
  • J. Lellmann: Visualizing Image Processing/imaging.live Joint Annual Meeting of GAMM/DMV, Braunschweig, 2016. Imaging Live project page
  • R. Tovey, J. Lellmann: Asymmetric Regularization of Higher-Order Derivatives. Joint Annual Meeting of GAMM/DMV, Braunschweig, 2016. pdf
  • J. Lellmann: Encoding Prior Knowledge in Image- and Data Processing. 3rd Heidelberg Laureate Forum, Heidelberg, 2015.pdf
  • J. Lellmann, D. A. Lorenz, C. Schönlieb, T. Valkonen: Imaging with Kantorovich-Rubinstein Discrepancy. ICMS Workshop on Gradient Flows: from theory to application, Edinburgh, 2015. pdf
  • Jan Lellmann: Variational problems with finite and infinite label spaces. 4th Joint British Mathematical Colloquium & British Applied Mathematics Colloquium, Cambridge, 2015 pdf
  • Jan Lellmann: Variational models with finite and infinite label spaces. Invited Talk at the Minerva Weizmann Workshop on Computational Challenges in Large Scale Image Analysis, Rehovot, 2015 pdf
  • Jan Lellmann, Carola-Bibiane Schönlieb: The blessing and the curse of the big image. Invited talk at the “The Vocabulary of Big Data” workshop as part of the Cambridge Big Data lecture series, Cambridge, 2015 pdf
  • Jan Lellmann, Kostas Papafitsoros, Daniel Spector, Carola Schönlieb: A non-local formulation for higher-order total variation-based regularization. SIAM Conference on Imaging Science, Hong Kong, 2014 pdf
  • Jan Lellmann: Convexity and Non-Convexity in Partitioning and Interpolation Problems. Invited Talk at IPAM Workshop on Convex Relaxation Methods for Geometric Problems in Scientific Computing, Los Angeles, 2013. pdf
  • Jan Lellmann, Frank Lenzen, Christoph Schnörr: Optimality Bounds and Optimization for Image Partitioning. Talk at Workshop on Efficient Algorithms for Global Optimisation Methods, Dagstuhl, 2011. pdf
  • Jan Lellmann: Fast Numerical Methods for Continuous Multiclass Labeling. Talk at 81st Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Karlsruhe, 2010. pdf
  • Jan Lellmann, Christoph Schnörr: On Metric Image Labeling and Sparsity. Invited Talk at Int. Conf. on Sparse Representation of Multiscale Data and Images (SRMDI), Nanyang, 2009. pdf

Other Publications

  • Jan Lellmann, Christoph Schnörr: Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers, 2:43-54, 2011. pdf
  • Jan Lellmann, Jonathan Balzer, Andreas Rieder, Jürgen Beyerer: Shape from Specular Reflection and Optical Flow. Int. Journal of Computer Vision, Vol. 80 No. 2, November 2008. SpringerLink, preprint (IWRMM)
  • Jan Albiez, Björn Giesler, Jan Lellmann, J. Marius Zöllner and Rüdiger Dillmann: Virtual Immersion for Tele-Controlling a Hexapod Robot. Industrial Robot Highly Commended Award at CLAWAR05. SpringerLink

Reviewing Activities

  • IEEE Trans. Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • SIAM Journal on Imaging Sciences
  • Journal of Mathematical Imaging and Vision
  • European Conference on Computer Vision
  • International Conference on Computer Vision
  • SIAM Journal on Scientific Computing

Workshops and Conferences