Jan Lellmann

According to our database, Jan Lellmann authored at least 49 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint Learning of Image Registration and Change Detection for Lung CT Images.

Temke Kohlbrandt, Jan Hendrik Moltz, Stefan Heldmann, Alessa Hering, Jan Lellmann

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds.

Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., September, 2023

A universal quantum algorithm for weighted maximum cut and Ising problems.

Natacha Kuete Meli, Florian Mannel, Jan Lellmann

Quantum Inf. Process., July, 2023

Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case.

Danielle Bednarski, Jan Lellmann

J. Math. Imaging Vis., January, 2023

Riemannian geometry for efficient analysis of protein dynamics data.

Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb

CoRR, 2023

EmNeF: Neural Fields for Embedded Variational Problems in Imaging.

Danielle Bednarski, Jan Lellmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition.

Roland Haase, Stefan Heldmann, Jan Lellmann

J. Math. Imaging Vis., 2022

A Flexible Meta Learning Model for Image Registration.

Frederic Kanter, Jan Lellmann

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

An Iterative Quantum Approach for Transformation Estimation from Point Sets.

Natacha Kuete Meli, Florian Mannel, Jan Lellmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising.

Willem Diepeveen, Jan Lellmann

SIAM J. Imaging Sci., 2021

Guest Editorial: Scale Space and Variational Methods.

Jan Lellmann, Jan Modersitzki

J. Math. Imaging Vis., 2021

Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting.

Danielle Bednarski, Jan Lellmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020

Higher-Order Total Directional Variation: Imaging Applications.

Simone Parisotto, Jan Lellmann, Simon Masnou, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2020

On the Connection between Dynamical Optimal Transport and Functional Lifting.

Thomas Vogt, Roland Haase, Danielle Bednarski, Jan Lellmann

CoRR, 2020

2019

Lifting methods for manifold-valued variational problems.

Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann

CoRR, 2019

Functional Liftings of Vectorial Variational Problems with Laplacian Regularization.

Thomas Vogt, Jan Lellmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Fully-Deformable 3D Image Registration in Two Seconds.

Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration.

Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann

SIAM J. Sci. Comput., 2018

Image Reconstruction with Imperfect Forward Models and Applications in Deblurring.

Yury Korolev, Jan Lellmann

SIAM J. Imaging Sci., 2018

Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging.

Thomas Vogt, Jan Lellmann

J. Math. Imaging Vis., 2018

A multi-contrast MRI approach to thalamus segmentation.

Veronica Corona, Jan Lellmann, Peter J. Nestor, Carola-Bibiane Schoenlieb, Julio Acosta-Cabronero

CoRR, 2018

2017

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery.

Juheon Lee, David Coomes, Carola-Bibiane Schönlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft

CoRR, 2017

An Optimal Transport-Based Restoration Method for Q-Ball Imaging.

Thomas Vogt, Jan Lellmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.

Juheon Lee, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft, Carola-Bibiane Schönlieb, David A. Coomes

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.

Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers

Proceedings of the Computer Vision - ECCV 2016, 2016

Sublabel-Accurate Relaxation of Nonconvex Energies.

Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Analysis and Application of a Nonlocal Hessian.

Jan Lellmann, Konstantinos Papafitsoros, Carola Schönlieb, Daniel Spector

SIAM J. Imaging Sci., 2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.

Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother

Int. J. Comput. Vis., 2015

2014

Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets.

Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr

SIAM J. Imaging Sci., 2014

Imaging with Kantorovich-Rubinstein Discrepancy.

Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen

SIAM J. Imaging Sci., 2014

Solving QVIs for Image Restoration with Adaptive Constraint Sets.

Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr

CoRR, 2014

2013

COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis.

Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr

Optim. Methods Softw., 2013

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem.

Jan Lellmann, Frank Lenzen, Christoph Schnörr

J. Math. Imaging Vis., 2013

Discrete and Continuous Models for Partitioning Problems.

Jan Lellmann, Björn Lellmann, Florian Widmann, Christoph Schnörr

Int. J. Comput. Vis., 2013

A class of quasi-variational inequalities for adaptive image denoising and decomposition.

Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr

Comput. Optim. Appl., 2013

Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities.

Frank Lenzen, Florian Becker, Jan Lellmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Anisotropic Third-Order Regularization for Sparse Digital Elevation Models.

Jan Lellmann, Jean-Michel Morel, Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Total Variation Regularization for Functions with Values in a Manifold.

Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2013

Convex Relaxations for a Generalized Chan-Vese Model.

Egil Bae, Jan Lellmann, Xue-Cheng Tai

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.

Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

Nonsmooth convex variational approaches to image analysis.

Jan Lellmann

PhD thesis, 2011

Continuous Multiclass Labeling Approaches and Algorithms.

Jan Lellmann, Christoph Schnörr

SIAM J. Imaging Sci., 2011

Sparse Template-Based variational Image Segmentation.

Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr

Adv. Data Sci. Adapt. Anal., 2011

Variational Image Denoising with Adaptive Constraint Sets.

Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010

Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision.

Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr

Proceedings of the Computer Vision, 2010

2009

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation.

Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Convex optimization for multi-class image labeling with a novel family of total variation based regularizers.

Jan Lellmann, Florian Becker, Christoph Schnörr

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Shape from Specular Reflection and Optical Flow.

Jan Lellmann, Jonathan Balzer, Andreas Rieder, Jürgen Beyerer

Int. J. Comput. Vis., 2008

2005

Virtual Immersion for Tele-Controlling a Hexapod Robot.

Jan Christian Albiez, Björn Giesler, Jan Lellmann, Johann Marius Zöllner, Rüdiger Dillmann

Proceedings of the Climbing and Walking Robots, 2005