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2020 – today
- 2024
[c21]Temke Kohlbrandt
, Jan Hendrik Moltz, Stefan Heldmann, Alessa Hering, Jan Lellmann:
Joint Learning of Image Registration and Change Detection for Lung CT Images. Bildverarbeitung für die Medizin 2024: 46-51- [i20]Johannes Bostelmann, Ole Gildemeister, Jan Lellmann:
Stationary Velocity Fields on Matrix Groups for Deformable Image Registration. CoRR abs/2410.10997 (2024) - 2023
- [j22]Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case. J. Math. Imaging Vis. 65(1): 124-139 (2023) - [j21]Natacha Kuete Meli, Florian Mannel, Jan Lellmann:
A universal quantum algorithm for weighted maximum cut and Ising problems. Quantum Inf. Process. 22(7): 279 (2023) - [j20]Willem Diepeveen, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds. SIAM J. Imaging Sci. 16(3): 1440-1490 (2023) - [c20]Danielle Bednarski, Jan Lellmann:
EmNeF: Neural Fields for Embedded Variational Problems in Imaging. SSVM 2023: 137-148 - [i19]Natacha Kuete Meli, Florian Mannel, Jan Lellmann:
A Universal Quantum Algorithm for Weighted Maximum Cut and Ising Problems. CoRR abs/2306.06539 (2023) - [i18]Willem Diepeveen, Carlos Esteve-Yagüe, Jan Lellmann, Ozan Öktem, Carola-Bibiane Schönlieb:
Riemannian geometry for efficient analysis of protein dynamics data. CoRR abs/2308.07818 (2023) - 2022
- [j19]Roland Haase, Stefan Heldmann, Jan Lellmann:
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. J. Math. Imaging Vis. 64(2): 194-211 (2022) - [c19]Natacha Kuete Meli, Florian Mannel, Jan Lellmann:
An Iterative Quantum Approach for Transformation Estimation from Point Sets. CVPR 2022: 519-527 - [c18]Frederic Kanter, Jan Lellmann:
A Flexible Meta Learning Model for Image Registration. MIDL 2022: 638-652 - [i17]Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case. CoRR abs/2203.10865 (2022) - 2021
- [j18]Jan Lellmann, Jan Modersitzki:
Guest Editorial: Scale Space and Variational Methods. J. Math. Imaging Vis. 63(2): 131-132 (2021) - [j17]Willem Diepeveen, Jan Lellmann:
An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising. SIAM J. Imaging Sci. 14(4): 1565-1600 (2021) - [c17]Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting. SSVM 2021: 229-241 - [e2]Mattias P. Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schlaefer, Floris Ernst:
Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany. Proceedings of Machine Learning Research 143, PMLR 2021 [contents] - [i16]Danielle Bednarski, Jan Lellmann:
Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting. CoRR abs/2105.02622 (2021) - 2020
- [j16]Simone Parisotto, Jan Lellmann, Simon Masnou, Carola-Bibiane Schönlieb:
Higher-Order Total Directional Variation: Imaging Applications. SIAM J. Imaging Sci. 13(4): 2063-2104 (2020) - [i15]Roland Haase, Stefan Heldmann, Jan Lellmann:
Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition. CoRR abs/2001.03509 (2020) - [i14]Thomas Vogt, Roland Haase, Danielle Bednarski, Jan Lellmann:
On the Connection between Dynamical Optimal Transport and Functional Lifting. CoRR abs/2007.02587 (2020)
2010 – 2019
- 2019
- [c16]Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann:
Fully-Deformable 3D Image Registration in Two Seconds. Bildverarbeitung für die Medizin 2019: 302-307 - [c15]Thomas Vogt, Jan Lellmann:
Functional Liftings of Vectorial Variational Problems with Laplacian Regularization. SSVM 2019: 559-571 - [e1]Jan Lellmann, Martin Burger, Jan Modersitzki:
Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings. Lecture Notes in Computer Science 11603, Springer 2019, ISBN 978-3-030-22367-0 [contents] - [i13]Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers, Jan Lellmann:
Lifting methods for manifold-valued variational problems. CoRR abs/1908.03776 (2019) - 2018
- [j15]Thomas Vogt, Jan Lellmann:
Measure-Valued Variational Models with Applications to Diffusion-Weighted Imaging. J. Math. Imaging Vis. 60(9): 1482-1502 (2018) - [j14]Yury Korolev, Jan Lellmann:
Image Reconstruction with Imperfect Forward Models and Applications in Deblurring. SIAM J. Imaging Sci. 11(1): 197-218 (2018) - [j13]Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann:
A Matrix-Free Approach to Parallel and Memory-Efficient Deformable Image Registration. SIAM J. Sci. Comput. 40(3) (2018) - [i12]Lars König, Jan Rühaak, Alexander Derksen, Jan Lellmann:
A matrix-free approach to parallel and memory-efficient deformable image registration. CoRR abs/1804.10541 (2018) - [i11]Veronica Corona, Jan Lellmann, Peter J. Nestor, Carola-Bibiane Schoenlieb, Julio Acosta-Cabronero:
A multi-contrast MRI approach to thalamus segmentation. CoRR abs/1807.10757 (2018) - [i10]Daniel Budelmann, Lars König, Nils Papenberg, Jan Lellmann:
Fully-deformable 3D image registration in two seconds. CoRR abs/1812.06765 (2018) - 2017
- [c14]Thomas Vogt, Jan Lellmann:
An Optimal Transport-Based Restoration Method for Q-Ball Imaging. SSVM 2017: 271-282 - [i9]Juheon Lee, David Coomes, Carola-Bibiane Schönlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft:
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. CoRR abs/1701.06715 (2017) - [i8]Yury Korolev, Jan Lellmann:
Image reconstruction with imperfect forward models and applications in deblurring. CoRR abs/1708.01244 (2017) - 2016
- [j12]Juheon Lee, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft, Carola-Bibiane Schönlieb, David A. Coomes:
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2554-2567 (2016) - [c13]Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers:
Sublabel-Accurate Relaxation of Nonconvex Energies. CVPR 2016: 3948-3956 - [c12]Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers:
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. ECCV (1) 2016: 614-627 - [i7]Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers:
Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. CoRR abs/1604.01980 (2016) - 2015
- [j11]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:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - [j10]Jan Lellmann, Konstantinos Papafitsoros, Carola Schönlieb, Daniel Spector:
Analysis and Application of a Nonlocal Hessian. SIAM J. Imaging Sci. 8(4): 2161-2202 (2015) - [i6]Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers:
Sublabel-Accurate Relaxation of Nonconvex Energies. CoRR abs/1512.01383 (2015) - 2014
- [j9]Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr:
Solving Quasi-Variational Inequalities for Image Restoration with Adaptive Constraint Sets. SIAM J. Imaging Sci. 7(4): 2139-2174 (2014) - [j8]Jan Lellmann, Dirk A. Lorenz, Carola-Bibiane Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein Discrepancy. SIAM J. Imaging Sci. 7(4): 2833-2859 (2014) - [i5]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:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR abs/1404.0533 (2014) - [i4]Jan Lellmann, Dirk A. Lorenz, Carola Schönlieb, Tuomo Valkonen:
Imaging with Kantorovich-Rubinstein discrepancy. CoRR abs/1407.0221 (2014) - [i3]Frank Lenzen, Jan Lellmann, Florian Becker, Christoph Schnörr:
Solving QVIs for Image Restoration with Adaptive Constraint Sets. CoRR abs/1407.0921 (2014) - 2013
- [j7]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr:
A class of quasi-variational inequalities for adaptive image denoising and decomposition. Comput. Optim. Appl. 54(2): 371-398 (2013) - [j6]Jan Lellmann, Björn Lellmann, Florian Widmann, Christoph Schnörr:
Discrete and Continuous Models for Partitioning Problems. Int. J. Comput. Vis. 104(3): 241-269 (2013) - [j5]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. J. Math. Imaging Vis. 47(3): 239-257 (2013) - [j4]Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr:
COAL: a generic modelling and prototyping framework for convex optimization problems of variational image analysis. Optim. Methods Softw. 28(5): 1081-1094 (2013) - [c11]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:
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013: 1328-1335 - [c10]Egil Bae, Jan Lellmann, Xue-Cheng Tai:
Convex Relaxations for a Generalized Chan-Vese Model. EMMCVPR 2013: 223-236 - [c9]Jan Lellmann, Evgeny Strekalovskiy, Sabrina Koetter, Daniel Cremers:
Total Variation Regularization for Functions with Values in a Manifold. ICCV 2013: 2944-2951 - [c8]Frank Lenzen, Florian Becker, Jan Lellmann:
Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities. SSVM 2013: 61-73 - [c7]Jan Lellmann, Jean-Michel Morel, Carola-Bibiane Schönlieb:
Anisotropic Third-Order Regularization for Sparse Digital Elevation Models. SSVM 2013: 161-173 - 2011
- [b1]Jan Lellmann:
Nonsmooth convex variational approaches to image analysis. Heidelberg University, 2011, pp. 1-182 - [j3]Dirk Breitenreicher, Jan Lellmann, Christoph Schnörr:
Sparse Template-Based variational Image Segmentation. Adv. Data Sci. Adapt. Anal. 3(1-2): 149-166 (2011) - [j2]Jan Lellmann, Christoph Schnörr:
Continuous Multiclass Labeling Approaches and Algorithms. SIAM J. Imaging Sci. 4(4): 1049-1096 (2011) - [c6]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. EMMCVPR 2011: 132-146 - [c5]Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr:
Variational Image Denoising with Adaptive Constraint Sets. SSVM 2011: 206-217 - [i2]Jan Lellmann, Christoph Schnörr:
Continuous Multiclass Labeling Approaches and Algorithms. CoRR abs/1102.5448 (2011) - [i1]Jan Lellmann, Frank Lenzen, Christoph Schnörr:
Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. CoRR abs/1112.0974 (2011) - 2010
- [c4]Jan Lellmann, Dirk Breitenreicher, Christoph Schnörr:
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision. ECCV (2) 2010: 494-505
2000 – 2009
- 2009
- [c3]Jan Lellmann, Florian Becker, Christoph Schnörr:
Convex optimization for multi-class image labeling with a novel family of total variation based regularizers. ICCV 2009: 646-653 - [c2]Jan Lellmann, Jörg H. Kappes, Jing Yuan, Florian Becker, Christoph Schnörr:
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. SSVM 2009: 150-162 - 2008
- [j1]Jan Lellmann, Jonathan Balzer, Andreas Rieder, Jürgen Beyerer:
Shape from Specular Reflection and Optical Flow. Int. J. Comput. Vis. 80(2): 226-241 (2008) - 2005
- [c1]Jan Christian Albiez, Björn Giesler, Jan Lellmann, Johann Marius Zöllner, Rüdiger Dillmann:
Virtual Immersion for Tele-Controlling a Hexapod Robot. CLAWAR 2005: 1087-1094
Coauthor Index
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