J. Lellmann

发表

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

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Regularizers for Vector – Valued Data and Labeling Problems in Image Processing

C. Schnörr, J. Lellmann, 2011 .

ANALYSIS AND APPLICATION OF A NON-LOCAL HESSIAN

J. Lellmann, Konstantinos Papafitsoros, C. Schoenlieb, 2014, 1410.8825.

Individual tree species classification from airborne multi-sensor imagery

M. Dalponte, Y. Malhi, D. Coomes, 2016 .

Compressing Audio Signals with Inpainting-based Sparsification

M. Burger, J. Modersitzki, J. Lellmann, 2019 .

Lifting-based Global Optimisation over Riemannian Manifolds: Theory and Applications in Cryo-EM

C. Schonlieb, C. Schönlieb, J. Lellmann, 2022 .

An Iterative Quantum Approach for Transformation Estimation from Point Sets

J. Lellmann, F. Mannel, Natacha Kuete Meli, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

C. Schnörr, Frank Lenzen, Florian Becker, 2012, Computational Optimization and Applications.

Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem

C. Schnörr, Frank Lenzen, J. Lellmann, 2011, Journal of Mathematical Imaging and Vision.

MALDI‐Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods

Carsten Denkert, Jan Lellmann, Herbert Thiele, 2018, Proteomics. Clinical applications.

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

C. Schonlieb, C. Schönlieb, J. Lellmann, 2022, SIAM J. Imaging Sci..

Solving QVIs for Image Restoration with Adaptive Constraint Sets pdf

Christoph Schnörr, Florian Becker, Jan Lellmann, 2014, ArXiv.

Discrete and Continuous Models for Partitioning Problems

Christoph Schnörr, Björn Lellmann, Jan Lellmann, 2013, International Journal of Computer Vision.

Higher-Order Total Directional Variation: Imaging Applications

Carola-Bibiane Schönlieb, Simon Masnou, Jan Lellmann, 2018, SIAM J. Imaging Sci..

Higher-Order Total Directional Variation. Part I: Imaging Applications

Simon Masnou, Jan Lellmann, Carola-Bibiane Schönlieb, 2018, 1812.05023.

Duality-based Higher-order Non-smooth Optimization on Manifolds

J. Lellmann, W. Diepeveen, 2021 .

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

Jan Lellmann, Willem Diepeveen, J. Lellmann, 2021, SIAM J. Imaging Sci..

Lifting methods for manifold-valued variational problems pdf

Daniel Cremers, Jan Lellmann, Evgeny Strekalovskiy, 2019, Handbook of Variational Methods for Nonlinear Geometric Data.

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

Jan Lellmann, Thomas Vogt, J. Lellmann, 2017, Journal of Mathematical Imaging and Vision.

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

Jan Lellmann, Thomas Vogt, J. Lellmann, 2017, SSVM.

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

J. Lellmann, D. Bednarski, 2022, Journal of Mathematical Imaging and Vision.

Image reconstruction with imperfect forward models and applications in deblurring pdf

Jan Lellmann, Yury Korolev, J. Lellmann, 2017, SIAM J. Imaging Sci..

Functional Lifting for Variational Problems with Higher-Order Regularization

Jan Lellmann, Benedikt Loewenhauser, J. Lellmann, 2016 .

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies

Michael Möller, Daniel Cremers, Thomas Möllenhoff, 2016, ECCV.

Sublabel–Accurate Relaxation of Nonconvex Energies

Michael Möller, Daniel Cremers, Thomas Möllenhoff, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Analysis and Application of a Nonlocal Hessian

Carola-Bibiane Schönlieb, Konstantinos Papafitsoros, Jan Lellmann, 2014, SIAM J. Imaging Sci..

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

Christoph Schnörr, Florian Becker, Jan Lellmann, 2014, SIAM J. Imaging Sci..

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

Florian Becker, Jan Lellmann, Frank Lenzen, 2013, SSVM.

Computational Optimization and Applications Manuscript No. a Class of Quasi-variational Inequalities for Adaptive Image Denoising and Decomposition

Christoph Schnörr, Florian Becker, Stefania Petra, 2022 .

Imaging with Kantorovich-Rubinstein Discrepancy

Carola-Bibiane Schönlieb, Dirk A. Lorenz, Tuomo Valkonen, 2014, SIAM J. Imaging Sci..

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

Jing Yuan, Christoph Schnörr, Florian Becker, 2009, SSVM.

Total Variation Regularization for Functions with Values in a Manifold

Daniel Cremers, Jan Lellmann, Evgeny Strekalovskiy, 2013, 2013 IEEE International Conference on Computer Vision.

Classification of Pancreatic Ductal Adenocarcinoma Using MALDI Mass Spectrometry Imaging Combined with Neural Networks

S. Kalloger, J. Lellmann, A. Wellmann, 2023, Cancers.

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

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2017, ArXiv.

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Carola-Bibiane Schönlieb, Michele Dalponte, Juheon Lee, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Shape from Specular Reflection and Optical Flow

Jürgen Beyerer, Jonathan Balzer, Andreas Rieder, 2008, International Journal of Computer Vision.

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

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2014, International Journal of Computer Vision.

Fully-deformable 3D image registration in two seconds pdf

Nils Papenberg, Daniel Budelmann, Lars König, 2018, Bildverarbeitung für die Medizin.

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

Christoph Schnörr, Jan Lellmann, Dirk Breitenreicher, 2013, Optim. Methods Softw..

A multi‐contrast MRI approach to thalamus segmentation

Veronica Corona, Jan Lellmann, Carola-Bibiane Schoenlieb, 2018, Human brain mapping.

A matrix-free approach to parallel and memory-efficient deformable image registration pdf

Jan Rühaak, Alexander Derksen, Lars König, 2018, SIAM J. Sci. Comput..

Continuous Multiclass Labeling Approaches and Algorithms pdf

Christoph Schnörr, Jan Lellmann, C. Schnörr, 2011, SIAM J. Imaging Sci..

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

Jan Lellmann, Danielle Bednarski, J. Lellmann, 2021, SSVM.

On the Connection between Dynamical Optimal Transport and Functional Lifting pdf

Jan Lellmann, Thomas Vogt, Roland Haase, 2020, ArXiv.

Functional Liftings of Vectorial Variational Problems with Laplacian Regularization

Jan Lellmann, Thomas Vogt, J. Lellmann, 2019, SSVM.

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

Stefan Heldmann, Jan Lellmann, Roland Haase, 2020, Journal of Mathematical Imaging and Vision.

Riemannian geometry for efficient analysis of protein dynamics data

C. Schönlieb, J. Lellmann, O. Öktem, 2023, ArXiv.

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

J. Lellmann, W. Diepeveen, 2021, SIAM J. Imaging Sci..

A universal quantum algorithm for weighted maximum cut and Ising problems

J. Lellmann, Florian Mannel, Natacha Kuete Meli, 2023, Quantum Information Processing.