Jan Lellmann

72 papers A* 5Journal 44Unranked 20
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Liemorph - Transformer-based Image Registration using Flows on Lie Groups.
Bildverarbeitung für die Medizin
Johannes Bostelmann, Jan Lellmann
2026 — conf
Abstract: Time-continuous Sliding Motion Image Registration using Stationary Velocity Fields for Respiratory Motion Interpolation.
Bildverarbeitung für die Medizin
Ole Gildemeister, Johannes Bostelmann, Pia F. Schulz, Andra Oltmann, Philipp Rostalski, Jan Modersitzki, Jan Lellmann
2026 J jnl
Diffeomorphism-Equivariant Neural Networks.
CoRR
Josephine Elisabeth Oettinger, Zakhar Shumaylov, Johannes Bostelmann, Jan Lellmann, Carola-Bibiane Schönlieb
2026 J jnl
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration.
J. Math. Imaging Vis.
Johannes Bostelmann, Ole Gildemeister, Jan Lellmann
2025 — conf
Image Registration for a Dynamic Breathing Model.
Bildverarbeitung für die Medizin
Pia F. Schulz, Andra Oltmann, Johannes Bostelmann, Ole Gildemeister, Franz Wegner, Jan Lellmann, Philipp Rostalski, Jan Modersitzki
2025 — conf
Time-Continuous Sliding Motion Image Registration Using Stationary Velocity Fields for Respiratory Motion Interpolation.
SSVM (2)
Ole Gildemeister, Johannes Bostelmann, Pia F. Schulz, Andra Oltmann, Philipp Rostalski, Jan Modersitzki, Jan Lellmann
2024 — conf
Joint Learning of Image Registration and Change Detection for Lung CT Images.
Bildverarbeitung für die Medizin
Temke Kohlbrandt, Jan Hendrik Moltz, Stefan Heldmann, Alessa Hering, Jan Lellmann
2024 J jnl
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration.
CoRR
Johannes Bostelmann, Ole Gildemeister, Jan Lellmann
2023 J jnl
A Universal Quantum Algorithm for Weighted Maximum Cut and Ising Problems.
CoRR
Natacha Kuete Meli, Florian Mannel, Jan Lellmann
2023 J jnl
A universal quantum algorithm for weighted maximum cut and Ising problems.
Quantum Inf. Process.
Natacha Kuete Meli, Florian Mannel, Jan Lellmann
2023 — conf
EmNeF: Neural Fields for Embedded Variational Problems in Imaging.
SSVM
Danielle Bednarski, Jan Lellmann
2023 J jnl
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case.
J. Math. Imaging Vis.
Danielle Bednarski, Jan Lellmann
2023 J jnl
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds.
SIAM J. Imaging Sci.
Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
2023 J jnl
Riemannian geometry for efficient analysis of protein dynamics data.
CoRR
Willem Diepeveen, Carlos Esteve Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb
2022 — conf
A Flexible Meta Learning Model for Image Registration.
MIDL
Frederic Kanter, Jan Lellmann
2022 A* conf
An Iterative Quantum Approach for Transformation Estimation from Point Sets.
CVPR
Natacha Kuete Meli, Florian Mannel, Jan Lellmann
2022 J jnl
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition.
J. Math. Imaging Vis.
Roland Haase, Stefan Heldmann, Jan Lellmann
2022 J jnl
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case.
CoRR
Danielle Bednarski, Jan Lellmann
2021 J jnl
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising.
SIAM J. Imaging Sci.
Willem Diepeveen, Jan Lellmann
2021 J jnl
Guest Editorial: Scale Space and Variational Methods.
J. Math. Imaging Vis.
Jan Lellmann, Jan Modersitzki
2021 J jnl
Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting.
CoRR
Danielle Bednarski, Jan Lellmann
2021 — conf
Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting.
SSVM
Danielle Bednarski, Jan Lellmann
2021 — ed.
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany.
MIDL
Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst
2020 J jnl
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition.
CoRR
Roland Haase, Stefan Heldmann, Jan Lellmann
2020 J jnl
Higher-Order Total Directional Variation: Imaging Applications.
SIAM J. Imaging Sci.
Simone Parisotto, Jan Lellmann, Simon Masnou, Carola-Bibiane Schönlieb
2020 J jnl
On the Connection between Dynamical Optimal Transport and Functional Lifting.
CoRR
Thomas Vogt, Roland Haase, Danielle Bednarski, Jan Lellmann
2019 — conf
Fully-Deformable 3D Image Registration in Two Seconds.
Bildverarbeitung für die Medizin
Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann
2019 — conf
Functional Liftings of Vectorial Variational Problems with Laplacian Regularization.
SSVM
Thomas Vogt, Jan Lellmann
2019 J jnl
Lifting methods for manifold-valued variational problems.
CoRR
Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann
2019 — ed.
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings
SSVM
Jan Lellmann, Martin Burger, Jan Modersitzki
2018 J jnl
A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration.
SIAM J. Sci. Comput.
Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann
2018 J jnl
A matrix-free approach to parallel and memory-efficient deformable image registration.
CoRR
Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann
2018 J jnl
A multi-contrast MRI approach to thalamus segmentation.
CoRR
Veronica Corona, Jan Lellmann, Peter J. Nestor, Carola-Bibiane Schoenlieb, Julio Acosta-Cabronero
2018 J jnl
Fully-deformable 3D image registration in two seconds.
CoRR
Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann
2018 J jnl
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring.
SIAM J. Imaging Sci.
Yury Korolev, Jan Lellmann
2018 J jnl
Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging.
J. Math. Imaging Vis.
Thomas Vogt, Jan Lellmann
2017 J jnl
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery.
CoRR
Juheon Lee, David Coomes, Carola-Bibiane Schönlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft
2017 — conf
An Optimal Transport-Based Restoration Method for Q-Ball Imaging.
SSVM
Thomas Vogt, Jan Lellmann
2017 J jnl
Image reconstruction with imperfect forward models and applications in deblurring.
CoRR
Yury Korolev, Jan Lellmann
2016 J jnl
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Juheon Lee, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft, Carola-Bibiane Schönlieb, David A. Coomes
2016 — conf
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.
ECCV (1)
Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016 J jnl
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies.
CoRR
Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016 A* conf
Sublabel-Accurate Relaxation of Nonconvex Energies.
CVPR
Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2015 J jnl
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis.
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
2015 J jnl
Analysis and Application of a Nonlocal Hessian.
SIAM J. Imaging Sci.
Jan Lellmann, Konstantinos Papafitsoros, Carola Schönlieb, Daniel Spector
2015 J jnl
Sublabel-Accurate Relaxation of Nonconvex Energies.
CoRR
Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2014 J jnl
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR
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
2014 J jnl
Imaging with Kantorovich-Rubinstein Discrepancy.
SIAM J. Imaging Sci.
Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen
2014 J jnl
Imaging with Kantorovich-Rubinstein discrepancy.
CoRR
Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen
2014 J jnl
Solving QVIs for Image Restoration with Adaptive Constraint Sets.
CoRR
Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr
2014 J jnl
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets.
SIAM J. Imaging Sci.
Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr
2013 A* conf
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
CVPR
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
2013 J jnl
A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comput. Optim. Appl.
Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
2013 — conf
Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities.
SSVM
Frank Lenzen, Florian Becker, Jan Lellmann
2013 — conf
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models.
SSVM
Jan Lellmann, Jean-Michel Morel, Carola-Bibiane Schönlieb
2013 J jnl
COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis.
Optim. Methods Softw.
Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr
2013 — conf
Convex Relaxations for a Generalized Chan-Vese Model.
EMMCVPR
Egil Bae, Jan Lellmann, Xue-Cheng Tai
2013 J jnl
Discrete and Continuous Models for Partitioning Problems.
Int. J. Comput. Vis.
Jan Lellmann, Björn Lellmann, Florian Widmann, Christoph Schnörr
2013 J jnl
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem.
J. Math. Imaging Vis.
Jan Lellmann, Frank Lenzen, Christoph Schnörr
2013 A* conf
Total Variation Regularization for Functions with Values in a Manifold.
ICCV
Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers
2011 J jnl
Continuous Multiclass Labeling Approaches and Algorithms
CoRR
Jan Lellmann, Christoph Schnörr
2011 J jnl
Continuous Multiclass Labeling Approaches and Algorithms.
SIAM J. Imaging Sci.
Jan Lellmann, Christoph Schnörr
2011 — —
Nonsmooth convex variational approaches to image analysis.
Jan Lellmann
2011 J jnl
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem
CoRR
Jan Lellmann, Frank Lenzen, Christoph Schnörr
2011 — conf
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem.
EMMCVPR
Jan Lellmann, Frank Lenzen, Christoph Schnörr
2011 J jnl
Sparse Template-Based variational Image Segmentation.
Adv. Data Sci. Adapt. Anal.
Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr
2011 — conf
Variational Image Denoising with Adaptive Constraint Sets.
SSVM
Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
2010 — conf
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision.
ECCV (2)
Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr
2009 — conf
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation.
SSVM
Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr
2009 A* conf
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers.
ICCV
Jan Lellmann, Florian Becker, Christoph Schnörr
2008 J jnl
Shape from Specular Reflection and Optical Flow.
Int. J. Comput. Vis.
Jan Lellmann, Jonathan Balzer, Andreas Rieder, Jürgen Beyerer
2005 — conf
Virtual Immersion for Tele-Controlling a Hexapod Robot.
CLAWAR
Jan Christian Albiez, Björn Giesler, Jan Lellmann, Johann Marius Zöllner, Rüdiger Dillmann