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For recent publications, submissions and preprints please consider https://sites.google.com/site/michaelmoellermath/publications



YearAuthorType
    

2020

Articles/Journal Papers

[bib] - Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz, Andreas Kolb, Michael Moeller - A Generative Model for Generic Light Field Reconstruction
In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, pages DOI: 10.1109/TPAMI.2020.3039841 - [pdf]

Conference Papers

[bib] - Micah Goldblum*, Jonas Geiping*, Avi Schwarzschild, Michael Moeller, Tom Goldstein - Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory
In International Conference on Learning Representations, 2020

2019

Conference Papers

[bib] - Tak Ming Wong, Matthias Kahl, Peter Haring Bolí­var, Andreas Kolb, Michael Möller - Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction
In German Conference on Pattern Recognition (GCPR), Springer, 11824, 2019, pages 93-106 - [pdf]
[bib] - Andreas Görlitz, Jonas Geiping, Andreas Kolb - Piecewise Rigid Scene Flow with Implicit Motion Segmentation
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 - [pdf]
[bib] - Hendrik Sommerhoff, Andreas Kolb, Michael Möller - Energy Dissipation with Plug-and-Play Priors
In NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 - [pdf]
[bib] - Paramanand Chandramouli, Kanchana Vaishnavi Gandikota - Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors
In Proc. IEEE International Conference on Computer Vision Workshops (ICCVW) (accepted), 2019
[bib] - Jonas Geiping, Michael Moeller - Parametric Majorization for Data-Driven Energy Minimization Methods
In Proceedings of the IEEE International Conference on Computer Vision, 2019

Master/Bachelor Thesis

[bib] - Hendrik Sommerhoff - Training of Lipschitz Continuous Deep Neural Networks
In Master Thesis, Computer Vision Group, University of Siegen, 2019 - [pdf]

2018

Articles/Journal Papers

[bib] - Jonas Geiping, Michael Moeller - Composite Optimization by Nonconvex Majorization-Minimization
In SIAM Journal on Imaging Sciences, 2018

Conference Papers

[bib] - Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz - Segmentation and Shape Extraction from Convolutional Neural Networks
In IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018, pages 1509-1518 - [pdf]

2017

Articles/Journal Papers

[bib] - Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Moeller - The Homotopy Method Revisited: Computing Solution Paths of l^1-Regularized Problems
In Accepted in Mathematics of Computation, 2017
[bib] - Emanuele Rodola, Michael Moeller, Daniel Cremers - Regularized Point-wise Map Recovery from Functional Correspondence
In Computer Graphics Forum, 2017

Conference Papers

[bib] - Martin Benning, Michael Moeller, Raz Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola Schönlieb - Nonlinear Spectral Image Fusion
In SSVM, 2017
[bib] - Hendrik Dirks, Jonas Geiping, Daniel Cremers, Michael Moeller - Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution
In EMMCVPR, 2017
[bib] - Tim Meinhardt, Michael Moeller, Caner Hazirbas, Daniel Cremers - Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
In ICCV, 2017

2016

Articles/Journal Papers

[bib] - M. Burger , G. Gilboa , M. Moeller , L. Eckardt , D. Cremers - Spectral Decompositions using One-Homogeneous Functionals
In SIAM Journal on Imaging Sciences, 9(3), 2016, pages 1374-1408
[bib] - G. Gilboa , M. Moeller , M. Burger - Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects
In Journal of Mathematical Imaging and Vision, 56(2), 2016, pages 300-319
[bib] - M. Moeller , X. Zhang - Fast sparse reconstruction: Greedy inverse scale space flows
In Mathematics of Computation, 85, 2016, pages 179-208
[bib] - J. Duran , M. Moeller , C. Sbert , D. Cremers - Collaborative Total Variation: A General Framework for Vectorial TV Models
In SIAM Journal on Imaging Sciences, 9(1), 2016, pages 116-151
[bib] - J. Duran , M. Moeller , C. Sbert , D. Cremers - On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition
In Image Processing On Line, 6, 2016, pages 27-74

Conference Papers

[bib] - E. Laude and T. Möllenhoff and M. Moeller and J. Lellmann and D. Cremers - Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
In eccv, 2016
[bib] - T. Möllenhoff , E. Laude , M. Moeller , J. Lellmann , D. Cremers - Sublabel-Accurate Relaxation of Nonconvex Energies
In IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Articles/Journal Papers

[bib] - M. Moeller , M. Benning , C. Schönlieb , D. Cremers - Variational Depth From Focus Reconstruction
In IEEE Transactions on Image Processing, 24(12), 2015, pages 5369-5378
[bib] - P. Heins , M. Moeller , M. Burger - Locally Sparse Reconstruction Using the $\ell^1,\infty$-Norm
In Inverse Problems and Imaging, 9(4), 2015, pages 1093-1137
[bib] - T. Möllenhoff , E. Strekalovskiy , M. Moeller - The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
In SIAM Journal on Imaging Sciences, 8(2), 2015, pages 827-857

Conference Papers

[bib] - M. Moeller , J. Diebold , G. Gilboa , D. Cremers - Learning Nonlinear Spectral Filters for Color Image Reconstruction
In IEEE International Conference on Computer Vision (ICCV), 2015, pages 289-297
[bib] - E. Rodola , M. Moeller , D. Cremers - Point-wise map recovery and refinement from functional correspondence
In Proc. VMV, The Eurographics Association, 2015, pages 25-32
[bib] - J. Diebold , N. Demmel , C. Hazirbas, M. Moeller , D. Cremers - Interactive Multi-label Segmentation of RGB-D Images
In Proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, 2015, pages 294-306
[bib] - J. Duran , M. Moeller , C. Sbert , D. Cremers - A Novel Framework for Nonlocal Vectorial Total Variation Based on $\ell^{p,q,r}$−norms
In Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer International Publishing, 2015, pages 141-154
[bib] - M. Burger , L. Eckardt , G. Gilboa , M. Moeller - Spectral Representations of One-Homogeneous Functionals
In Proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, Springer International Publishing, 2015, pages 16-27
[bib] - Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Moeller, Daniel Cremers - Low Rank Priors for Color Image Regularization
In Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer International Publishing, 2015, pages 126-140

2014

Articles/Journal Papers

[bib] - M. Moeller , E.-M. Brinkmann , M. Burger , T. Seybold - Color Bregman TV
In SIAM Journal on Imaging Sciences, 7(4), 2014, pages 2771-2806
[bib] - M. Moeller , M. Burger , P. Dieterich , A. Schwab - A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities
In Journal of Visual Communication and Image Representation, 25(2), 2014, pages 396 - 409

2013

Articles/Journal Papers

[bib] - M. Moeller , M. Burger - Multiscale Methods for Polyhedral Regularizations
In SIAM Journal on Optimization, 23(3), 2013, pages 1424-1456
[bib] - M. Burger , M. Moeller , M. Benning , S. Osher - An adaptive inverse scale space method for compressed sensing
In Mathematics of Computation, 82, 2013, pages 269-299
[bib] - Y. Yang , M. Moeller , S. Osher - A dual split Bregman method for fast $ \ell^1$ minimization
In Mathematics of Computation, 82, 2013, pages 2061-2085

2012

Articles/Journal Papers

[bib] - M. Moeller , T. Wittman , A.L. Bertozzi , M. Burger - A Variational Approach for Sharpening High Dimensional Images
In SIAM Journal on Imaging Sciences, 5(1), 2012, pages 150-178
[bib] - E. Esser , M. Moeller , S. Osher , G. Sapiro , J. Xin - A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space
In IEEE Transactions on Image Processing, 21(7), 2012, pages 3239-3252

Conference Papers

[bib] - M. Moeller - The adaptive inverse scale space method for hyperspectral unmixing
In 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, pages 7492-7495

2010

Articles/Journal Papers

[bib] - S. Rahmani , M. Strait , D. Merkurjev , M. Moeller , T. Wittman - An Adaptive IHS Pan-Sharpening Method
In IEEE Geoscience and Remote Sensing Letters, 7(4), 2010, pages 746-750

2009

Conference Papers

[bib] - M. Moeller , T. Wittman , A.L. Bertozzi - A variational approach to hyperspectral image fusion
In Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, 7334, 2009, pages 73341E-73341E-10