• mConnect - Access Matlab from within Mathematica under Windows and Linux.

Note: If downloading the PDFs does not work, download using “Save as…” and open manually within Acrobat Reader.

Full bibtex entries on my publications page at DAMTP.

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

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

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
J. H. Kappes, B. Andres, F. A. Hamprecht, C. Schn{\”o}rr, S. Nowozin, D. Batra, S. Kim, B. X. Kausler, J. Lellmann, N. Komodakis, and C. Rother, Comp. Vis. Patt. Recogn. (CVPR) 2013.

Discrete and Continuous Models for Partitioning Problems
J. Lellmann, B. Lellmann, F. Widmann, and C. Schnörr, International Journal of Computer Vision, 2013. In Press.

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

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

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

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)

• 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

• 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

• 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

• Workshop on Statistics, Learning and Variational Methods in Imaging at the University of Cambridge