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DAAD Deutscher Akademischer Austausch Dienst
Prof. Dr. rer. nat. Michael Möller
Anschrift:
Lehrstuhl für Visuelle Szenenanalyse
Universität Siegen
Hölderlinstraße 3
57076 Siegen
Note: The list of publications contains only papers that have been published within the active period of the Research Training Group 1564, i.e. between Oct. 2009 and Oct. 2018.
2024
Begutachtete Konferenzbeiträge
[bib] - H. Sommerhoff, S. Agnihotri, M. Saleh, M. Moeller, M. Keuper, B. Choubey, A. Kolb - Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters
In IEEE International Conference on Computational Photography (ICCP), 2024 - [pdf]
[bib] - B. Choubey, H. Sommerhoff, M. Moeller, A. Kolb - Variable layout CMOS pixels for end-to-end learning in task specific image sensors
In IEEE 6th International Conference on AI Circuits and Systems (AICAS), 2024 - [pdf]
2023
Begutachtete Konferenzbeiträge
[bib] - Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik - QuAnt: Quantum Annealing with Learnt Couplings
In International Conference on Learning Representations (ICLR), 2023
[bib] - Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik - CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
In Conference on Computer Vision and Pattern Recognition (CVPR), 2023
2022
Artikel in Zeitschriften
[bib] - Zekarias Negese, Hartmut Bauermeister, Michael Moeller, Emanuele Rodolà, Zorah Lähner - Light-Weight Learning-Based Depth Estimation From A Single Image
In ATHENA Research Book, 1(1), 2022
Begutachtete Konferenzbeiträge
[bib] - Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner - Intrinsic Neural Fields: Learning Functions on Manifolds
In European Conference on Computer Vision (ECCV), 2022
[bib] - Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Moeller - A Simple Strategy to Provable Invariance via Orbit Mapping
In Asian Conference on Computer Vision (ACCV), 2022
[bib] - Hannah Dröge, Thomas Möllenhoff, Michael Moeller - Non-smooth energy dissipating networks
In 2022 IEEE International Conference on Image Processing, 2022
[bib] - K.V. Gandikota, P. Chandramouli, M. Moeller - On Adversarial Robustness of Deep Image Deblurring
In IEEE International Conference on Image Processing (ICIP), 2022, pages 3161-3165
2021
Artikel in Zeitschriften
[bib] - Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller - Q-Match: Iterative Shape Matching via Quantum Annealing
In International Conference on Computer Vision (ICCV), 2021
[bib] - Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse Yen, Michael Moeller, Andrea L. Bertozzi - Mitral Valve Segmentation using Robust Nonnegative Matrix Factorization
In MDPI Special Issue Inverse Problems and Imaging, 2021
2020
Artikel in Zeitschriften
[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]
Begutachtete Konferenzbeiträge
[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
[bib] - Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller - Inverting Gradients -- How easy is it to break privacy in federated learning?
In Conference on Neural Information Processing Systems (NeurIPS) 2020, 2020
2019
Begutachtete Konferenzbeiträge
[bib] - Jonas Geiping, Michael Moeller - Parametric Majorization for Data-Driven Energy Minimization Methods
In Proceedings of the IEEE International Conference on Computer Vision, 2019
2018
Artikel in Zeitschriften
[bib] - Jonas Geiping, Michael Moeller - Composite Optimization by Nonconvex Majorization-Minimization
In SIAM Journal on Imaging Sciences, 2018
2017
Artikel in Zeitschriften
[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
Begutachtete Konferenzbeiträge
[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
Artikel in Zeitschriften
[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
Begutachtete Konferenzbeiträge
[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
Artikel in Zeitschriften
[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
Begutachtete Konferenzbeiträge
[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
Artikel in Zeitschriften
[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
Artikel in Zeitschriften
[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
Artikel in Zeitschriften
[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
Begutachtete Konferenzbeiträge
[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
Artikel in Zeitschriften
[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
Begutachtete Konferenzbeiträge
[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