An Adaptive IHS Pan-Sharpening Method. - Sheida Rahmani; Melissa Strait; Daria Merkurjev; Michael Möller 001; Todd Wittman (IEEE Geosci. Remote. Sens. Lett., 2010)

The adaptive inverse scale space method for hyperspectral unmixing. - Michael Möller 001 (IGARSS, 2012)

A Variational Approach for Sharpening High Dimensional Images. - Michael Möller 001; Todd Wittman; Andrea L. Bertozzi; Martin Burger 001 (SIAM J. Imaging Sci., 2012)

A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. - Ernie Esser; Michael Möller 001; Stanley J. Osher; Guillermo Sapiro; Jack Xin (IEEE Trans. Image Process., 2012)

Multiscale methods for (generalized) sparse recovery and applications in high dimensional imaging. - Michael Möller 001 (2012)

An adaptive inverse scale space method for compressed sensing. - Martin Burger 001; Michael Möller 001; Martin Benning; Stanley J. Osher (Math. Comput., 2013)

A dual split Bregman method for fast ℓ1 minimization. - Yi Yang 010; Michael Möller 001; Stanley J. Osher (Math. Comput., 2013)

Multiscale Methods for Polyhedral Regularizations. - Michael Möller 001; Martin Burger 001 (SIAM J. Optim., 2013)

A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (EMMCVPR, 2014)

Low Rank Priors for Color Image Regularization. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (EMMCVPR, 2014)

A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities. - Michael Möller 001; Martin Burger 001; Peter Dieterich; Albrecht Schwab (J. Vis. Commun. Image Represent., 2014)

Color Bregman TV. - Michael Möller 001; Eva-Maria Brinkmann; Martin Burger 001; Tamara Seybold (SIAM J. Imaging Sci., 2014)

Learning Nonlinear Spectral Filters for Color Image Reconstruction. - Michael Möller 001; Julia Diebold; Guy Gilboa; Daniel Cremers (ICCV, 2015)

Spectral Representations of One-Homogeneous Functionals. - Martin Burger 001; Lina Eckardt; Guy Gilboa; Michael Möller 001 (SSVM, 2015)

Interactive Multi-label Segmentation of RGB-D Images. - Julia Diebold; Nikolaus Demmel; Caner Hazirbas; Michael Möller 001; Daniel Cremers (SSVM, 2015)

Point-wise Map Recovery and Refinement from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (VMV, 2015)

The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. - Thomas Möllenhoff; Evgeny Strekalovskiy; Michael Möller 001; Daniel Cremers (SIAM J. Imaging Sci., 2015)

Variational Depth From Focus Reconstruction. - Michael Möller 001; Martin Benning; Carola Schönlieb; Daniel Cremers (IEEE Trans. Image Process., 2015)

Sublabel-Accurate Relaxation of Nonconvex Energies. - Thomas Möllenhoff; Emanuel Laude; Michael Möller 001; Jan Lellmann; Daniel Cremers (CVPR, 2016)

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. - Emanuel Laude; Thomas Möllenhoff; Michael Möller 001; Jan Lellmann; Daniel Cremers (ECCV (1), 2016)

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution. - Hendrik Dirks; Jonas Geiping; Daniel Cremers; Michael Möller 001 (CoRR, 2016)

On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (Image Process. Line, 2016)

Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. - Guy Gilboa; Michael Möller 001; Martin Burger 001 (J. Math. Imaging Vis., 2016)

Fast sparse reconstruction: Greedy inverse scale space flows. - Michael Möller 001; Xiaoqun Zhang (Math. Comput., 2016)

Spectral Decompositions Using One-Homogeneous Functionals. - Martin Burger 001; Guy Gilboa; Michael Möller 001; Lina Eckardt; Daniel Cremers (SIAM J. Imaging Sci., 2016)

Collaborative Total Variation: A General Framework for Vectorial TV Models. - Joan Duran; Michael Möller 001; Catalina Sbert; Daniel Cremers (SIAM J. Imaging Sci., 2016)

Multiframe Motion Coupling for Video Super Resolution. - Jonas Geiping; Hendrik Dirks; Daniel Cremers; Michael Möller 001 (EMMCVPR, 2017)

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. - Tim Meinhardt; Michael Möller 001; Caner Hazirbas; Daniel Cremers (ICCV, 2017)

Nonlinear Spectral Image Fusion. - Martin Benning; Michael Möller 001; Raz Z. Nossek; Martin Burger 001; Daniel Cremers; Guy Gilboa; Carola-Bibiane Schönlieb (SSVM, 2017)

Regularized Pointwise Map Recovery from Functional Correspondence. - Emanuele Rodolà; Michael Möller 001; Daniel Cremers (Comput. Graph. Forum, 2017)

Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. - Florian Bernard; Christian Theobalt; Michael Möller 001 (CoRR, 2017)

Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation. - Rania Briq; Michael Moeller 001; Jürgen Gall (BMVC, 2018)

DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. - Florian Bernard; Christian Theobalt; Michael Möller 001 (CVPR, 2018)

Lifting Layers: Analysis and Applications. - Peter Ochs; Tim Meinhardt; Laura Leal-Taixé; Michael Möller 001 (ECCV (1), 2018)

Proximal Backpropagation. - Thomas Frerix; Thomas Möllenhoff; Michael Möller 001; Daniel Cremers (ICLR (Poster), 2018)

Segmentation and Shape Extraction from Convolutional Neural Networks. - Mai Lan Ha; Gianni Franchi; Michael Möller 001; Andreas Kolb 001; Volker Blanz (WACV, 2018)

Are good local minima wide in sparse recovery? - Michael Moeller 001; Otmar Loffeld; Juergen Gall; Felix Krahmer (CoRR, 2018)

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation. - Rania Briq; Michael Moeller 001; Juergen Gall (CoRR, 2018)

The homotopy method revisited: Computing solution paths of ℓ1-regularized problems. - Björn Bringmann; Daniel Cremers; Felix Krahmer; Michael Möller 001 (Math. Comput., 2018)

Composite Optimization by Nonconvex Majorization-Minimization. - Jonas Geiping; Michael Möller 001 (SIAM J. Imaging Sci., 2018)

Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction. - Tak Ming Wong; Matthias Kahl; Peter Haring Bolívar; Andreas Kolb 001; Michael Möller 001 (GCPR, 2019)

Controlling Neural Networks via Energy Dissipation. - Michael Möller 001; Thomas Möllenhoff; Daniel Cremers (ICCV, 2019)

Parametric Majorization for Data-Driven Energy Minimization Methods. - Jonas Geiping; Michael Moeller 001 (ICCV, 2019)

Adiabatic Quantum Graph Matching with Permutation Matrix Constraints. - Marcel Seelbach Benkner; Vladislav Golyanik; Christian Theobalt; Michael Moeller 001 (3DV, 2020)

Fast Convex Relaxations using Graph Discretizations. - Jonas Geiping; Fjedor Gaede; Hartmut Bauermeister; Michael Moeller 001 (BMVC, 2020)

Learning to Identify Physical Parameters from Video Using Differentiable Physics. - Rama Krishna Kandukuri; Jan Achterhold; Michael Möller 001; Joerg Stueckler (GCPR, 2020)

Truth or backpropaganda? An empirical investigation of deep learning theory. - Micah Goldblum; Jonas Geiping; Avi Schwarzschild; Michael Moeller 001; Tom Goldstein (ICLR, 2020)

A Simple Domain Shifting Network for Generating Low Quality Images. - Guruprasad M. Hegde; Avinash Nittur Ramesh; Kanchana Vaishnavi Gandikota; Roman Obermaisser; Michael Moeller 001 (ICPR, 2020)

Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. - Christina Runkel; Stefan Dorenkamp; Hartmut Bauermeister; Michael Möller 001 (ICPR, 2020)

Inverting Gradients - How easy is it to break privacy in federated learning? - Jonas Geiping; Hartmut Bauermeister; Hannah Dröge; Michael Moeller 001 (NeurIPS, 2020)

Generative Models for Generic Light Field Reconstruction. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota; Andreas Görlitz; Andreas Kolb 001; Michael Moeller 001 (CoRR, 2020)

Nonlinear spectral geometry processing via the TV transform. - Marco Fumero; Michael Möller 001; Emanuele Rodolà (ACM Trans. Graph., 2020)

Q-Match: Iterative Shape Matching via Quantum Annealing. - Marcel Seelbach Benkner; Zorah Lähner; Vladislav Golyanik; Christof Wunderlich; Christian Theobalt; Michael Moeller 001 (ICCV, 2021)

Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. - Hannah Dröge; Michael Möller 001 (ICIP, 2021)

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. - Jonas Geiping; Liam H. Fowl; W. Ronny Huang; Wojciech Czaja; Gavin Taylor; Michael Moeller 001; Tom Goldstein (ICLR, 2021)

Improving Deep Learning for HAR with Shallow LSTMs. - Marius Bock; Alexander Hölzemann; Michael Moeller 001; Kristof Van Laerhoven (ISWC, 2021)

Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. - Christina Runkel; Christian Etmann; Michael Möller 001; Carola-Bibiane Schönlieb (CoRR, 2021)

What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors. - Jonas Geiping; Liam Fowl; Gowthami Somepalli; Micah Goldblum; Michael Moeller 001; Tom Goldstein (CoRR, 2021)

Training or Architecture? How to Incorporate Invariance in Neural Networks. - Kanchana Vaishnavi Gandikota; Jonas Geiping; Zorah Lähner; Adam Czaplinski; Michael Möller 001 (CoRR, 2021)

DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. - Jonas Geiping; Jovita Lukasik; Margret Keuper; Michael Moeller 001 (CoRR, 2021)

Tutorial on Deep Learning for Human Activity Recognition. - Marius Bock; Alexander Hoelzemann; Michael Möller 001; Kristof Van Laerhoven (CoRR, 2021)

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. - Hannah Dröge; Baichuan Yuan; Rafael Llerena; Jesse T. Yen; Michael Möller 001; Andrea L. Bertozzi (J. Imaging, 2021)

A Simple Strategy to Provable Invariance via Orbit Mapping. - Kanchana Vaishnavi Gandikota; Jonas Geiping; Zorah Lähner; Adam Czaplinski; Michael Möller 001 (ACCV (5), 2022)

Explorable Data Consistent CT Reconstruction. - Hannah Dröge; Yuval Bahat; Felix Heide; Michael Moeller 001 (BMVC, 2022)

Intrinsic Neural Fields: Learning Functions on Manifolds. - Lukas Koestler; Daniel Grittner; Michael Möller 001; Daniel Cremers; Zorah Lähner (ECCV (2), 2022)

Non-Smooth Energy Dissipating Networks. - Hannah Dröge; Thomas Möllenhoff; Michael Möller 001 (ICIP, 2022)

On Adversarial Robustness of Deep Image Deblurring. - Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Michael Möller 001 (ICIP, 2022)

FL0C: Fast L0 Cut Pursuit for Estimation of Piecewise Constant Functions. - Andreas Görlitz; Michael Möller 001; Andreas Kolb 001 (ICIP, 2022)

Stochastic Training is Not Necessary for Generalization. - Jonas Geiping; Micah Goldblum; Phillip Pope; Michael Moeller 001; Tom Goldstein (ICLR, 2022)

Deep Optimization Prior for THz Model Parameter Estimation. - Tak Ming Wong; Hartmut Bauermeister; Matthias Kahl; Peter Haring Bolívar; Michael Möller 001; Andreas Kolb 001 (WACV, 2022)

Convergent Data-driven Regularizations for CT Reconstruction. - Samira Kabri; Alexander Auras; Danilo Riccio; Hartmut Bauermeister; Martin Benning; Michael Moeller 001; Martin Burger 001 (CoRR, 2022)

Investigating (re)current state-of-the-art in human activity recognition datasets. - Marius Bock; Alexander Hoelzemann; Michael Möller 001; Kristof Van Laerhoven (Frontiers Comput. Sci., 2022)

Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics. - Rama Krishna Kandukuri; Jan Achterhold; Michael Möller 001; Joerg Stueckler (Int. J. Comput. Vis., 2022)

A Generative Model for Generic Light Field Reconstruction. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota; Andreas Görlitz; Andreas Kolb 001; Michael Möller 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. - Hartmut Bauermeister; Emanuel Laude; Thomas Möllenhoff; Michael Möller 001; Daniel Cremers (SIAM J. Imaging Sci., 2022)

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. - Harshil Bhatia; Edith Tretschk; Zorah Lähner; Marcel Seelbach Benkner; Michael Moeller 001; Christian Theobalt; Vladislav Golyanik (CVPR, 2023)

ΣIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (ICCV, 2023)

QuAnt: Quantum Annealing with Learnt Couplings. - Marcel Seelbach Benkner; Maximilian Krahn; Edith Tretschk; Zorah Lähner; Michael Moeller 001; Vladislav Golyanik (ICLR, 2023)

Evaluating Adversarial Robustness of Low dose CT Recovery. - Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Hannah Dröge; Michael Möller 001 (MIDL, 2023)

Kissing to Find a Match: Efficient Low-Rank Permutation Representation. - Hannah Dröge; Zorah Lähner; Yuval Bahat; Onofre Martorell Nadal; Felix Heide; Michael Moeller 001 (NeurIPS, 2023)

Learning Posterior Distributions in Underdetermined Inverse Problems. - Christina Runkel; Michael Möller 001; Carola-Bibiane Schönlieb; Christian Etmann (SSVM, 2023)

On the Direct Alignment of Latent Spaces. - Zorah Lähner; Michael Moeller 001 (UniReps, 2023)

WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. - Marius Bock; Michael Moeller 001; Kristof Van Laerhoven; Hilde Kuehne (CoRR, 2023)

Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters. - Hendrik Sommerhoff; Shashank Agnihotri; Mohamed Saleh; Michael Moeller 001; Margret Keuper; Andreas Kolb 001 (CoRR, 2023)

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. - Jovita Lukasik; Michael Möller 001; Margret Keuper (CoRR, 2023)

SIGMA: Scale-Invariant Global Sparse Shape Matching. - Maolin Gao; Paul Roetzer; Marvin Eisenberger; Zorah Lähner; Michael Möller 001; Daniel Cremers; Florian Bernard (CoRR, 2023)

Kissing to Find a Match: Efficient Low-Rank Permutation Representation. - Hannah Dröge; Zorah Lähner; Yuval Bahat; Onofre Martorell; Felix Heide; Michael Möller 001 (CoRR, 2023)

Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). - Christian Bauckhage; Wolfgang Förstner; Juergen Gall; Michael Möller 001; Alexander G. Schwing (Int. J. Comput. Vis., 2023)

Coherent Enhancement of Depth Images and Normal Maps Using Second-Order Geometric Models on Weighted Finite Graphs. - Andreas Görlitz; Michael Möller 001; Andreas Kolb 001 (3DV, 2024)

Variable layout CMOS pixels for end-to-end learning in task specific Image Sensors. - Bhaskar Choubey; Hendrik Sommerhoff; Michael Moeller 001; Andreas Kolb 001 (AICAS, 2024)

Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. - Hendrik Sommerhoff; Shashank Agnihotri; Mohamed Saleh; Michael Moeller 001; Margret Keuper; Bhaskar Choubey; Andreas Kolb 001 (ICCP, 2024)

Implicit Representations for Constrained Image Segmentation. - Jan Philipp Schneider; Mishal Fatima; Jovita Lukasik; Andreas Kolb 001; Margret Keuper; Michael Moeller 001 (ICML, 2024)

Weak-Annotation of HAR Datasets using Vision Foundation Models. - Marius Bock; Kristof Van Laerhoven; Michael Moeller 001 (ISWC, 2024)

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. - Alexander Auras; Kanchana Vaishnavi Gandikota; Hannah Dröge; Michael Moeller 001 (CoRR, 2024)

3D Shape Completion with Test-Time Training. - Michael Schopf-Kuester; Zorah Lähner; Michael Möller 001 (CoRR, 2024)

WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition. - Marius Bock; Hilde Kuehne; Kristof Van Laerhoven; Michael Möller 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Temporal Action Localization for Inertial-based Human Activity Recognition. - Marius Bock; Michael Möller 001; Kristof Van Laerhoven (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Lipschitz-agnostic, efficient and accurate rendering of implicit surfaces. - Rene Winchenbach; Michael Möller 001; Andreas Kolb 001 (Vis. Comput., 2024)

QuCOOP: A Versatile Framework for Solving Composite and Binary-Parametrised Problems on Quantum Annealers. - Natacha Kuete Meli; Vladislav Golyanik; Marcel Seelbach Benkner; Michael Moeller 001 (CVPR, 2025)

Training Data Reconstruction: Privacy due to Uncertainty? - Christina Runkel; Kanchana Vaishnavi Gandikota; Jonas Geiping; Carola-Bibiane Schönlieb; Michael Moeller 001 (CVPR Workshops, 2025)

Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction. - Navya Sonal Agarwal; Jan Philipp Schneider; Kanchana Vaishnavi Gandikota; Syed Muhammad Kazim; John Meshreki; Ivo Ihrke; Michael Möller 001 (CoRR, 2025)

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition. - Marius Bock; Michael Möller 001; Kristof Van Laerhoven (CoRR, 2025)

Label Leakage in Federated Inertial-based Human Activity Recognition. - Marius Bock; Maximilian Hopp; Kristof Van Laerhoven; Michael Möller 001 (CoRR, 2025)

Smooth Model Compression without Fine-Tuning. - Christina Runkel; Natacha Kuete Meli; Jovita Lukasik; Ander Biguri; Carola-Bibiane Schönlieb; Michael Möller 001 (CoRR, 2025)

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. - Jovita Lukasik; Michael Möller 001; Margret Keuper (Int. J. Comput. Vis., 2025)

Spatio-Temporal Activation Wavefront Reconstruction From Sparsely Sampled Electrograms. - Kostiantyn Ahapov; Peter Ruppersberg; Philip Häusser; Melissa H. Kong; Michael Möller 001 (IEEE Trans. Biomed. Eng., 2025)