Michael Möller

108 papers A* 6A 2B 5C 1Journal 74Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Layered Quantum Architecture Search for 3D Point Cloud Classification. CoRR Natacha Kuete Meli, Jovita Lukasik, Vladislav Golyanik, Michael Möller
2026	J	`jnl`	Quantum Multiple Rotation Averaging. CoRR Shuteng Wang, Natacha Kuete Meli, Michael Möller, Vladislav Golyanik
2026	J	`jnl`	RAWDet-7: A Multi-Scenario Benchmark for Object Detection and Description on Quantized RAW Images. CoRR Mishal Fatima, Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Michael Möller, Margret Keuper
2025	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. Int. J. Comput. Vis. Jovita Lukasik, Michael Möller, Margret Keuper
2025	—	`conf`	Curvilinear Layout for CMOS Image Sensors Task-Specific Imaging. ICECS Qiushuang Zhang, Hendrik Sommerhoff, Michael Möller, Andreas Kolb, Bhaskar Choubey
2025	J	`jnl`	DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition. CoRR Marius Bock, Michael Möller, Kristof Van Laerhoven
2025	J	`jnl`	Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction. CoRR Navya Sonal Agarwal, Jan Philipp Schneider, Kanchana Vaishnavi Gandikota, Syed Muhammad Kazim, John Meshreki, Ivo Ihrke, Michael Möller
2025	J	`jnl`	Label Leakage in Federated Inertial-based Human Activity Recognition. CoRR Marius Bock, Maximilian Hopp, Kristof Van Laerhoven, Michael Möller
2025	J	`jnl`	Neural Atlas Graphs for Dynamic Scene Decomposition and Editing. CoRR Jan Philipp Schneider, Pratik Singh Bisht, Ilya Chugunov, Andreas Kolb, Michael Möller, Felix Heide
2025	J	`jnl`	ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures. CoRR Shiwen Qin, Alexander Auras, Shay B. Cohen, Elliot J. Crowley, Michael Möller, Linus Ericsson, Jovita Lukasik
2025	J	`jnl`	Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms. CoRR Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Möller, Vladislav Golyanik
2025	J	`jnl`	Smooth Model Compression without Fine-Tuning. CoRR Christina Runkel, Natacha Kuete Meli, Jovita Lukasik, Ander Biguri, Carola-Bibiane Schönlieb, Michael Möller
2025	J	`jnl`	Spatio-Temporal Activation Wavefront Reconstruction From Sparsely Sampled Electrograms. IEEE Trans. Biomed. Eng. Kostiantyn Ahapov, Peter Ruppersberg, Philip Häusser, Melissa H. Kong, Michael Möller
2025	—	`conf`	γ-Quant: Towards Learnable Quantization for Low-Bit Pattern Recognition. DAGM GCPR Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2025	J	`jnl`	γ-Quant: Towards Learnable Quantization for Low-bit Pattern Recognition. CoRR Mishal Fatima, Shashank Agnihotri, Marius Bock, Kanchana Vaishnavi Gandikota, Kristof Van Laerhoven, Michael Möller, Margret Keuper
2024	J	`jnl`	3D Shape Completion with Test-Time Training. CoRR Michael Schopf-Kuester, Zorah Lähner, Michael Möller
2024	—	`conf`	Coherent Enhancement of Depth Images and Normal Maps Using Second-Order Geometric Models on Weighted Finite Graphs. 3DV Andreas Görlitz, Michael Möller, Andreas Kolb
2024	J	`jnl`	Lipschitz-agnostic, efficient and accurate rendering of implicit surfaces. Vis. Comput. Rene Winchenbach, Michael Möller, Andreas Kolb
2024	J	`jnl`	Temporal Action Localization for Inertial-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Marius Bock, Michael Möller, Kristof Van Laerhoven
2024	J	`jnl`	WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Marius Bock, Hilde Kuehne, Kristof Van Laerhoven, Michael Möller
2024	J	`jnl`	Weak-Annotation of HAR Datasets using Vision Foundation Models. CoRR Marius Bock, Kristof Van Laerhoven, Michael Möller
2023	J	`jnl`	An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness. CoRR Jovita Lukasik, Michael Möller, Margret Keuper
2023	—	`conf`	Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller
2023	J	`jnl`	Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller
2023	—	`conf`	Learning Posterior Distributions in Underdetermined Inverse Problems. SSVM Christina Runkel, Michael Möller, Carola-Bibiane Schönlieb, Christian Etmann
2023	J	`jnl`	Preface to the Special Issue on Pattern Recognition (DAGM GCPR 2021). Int. J. Comput. Vis. Christian Bauckhage, Wolfgang Förstner, Juergen Gall, Michael Möller, Alexander G. Schwing
2023	J	`jnl`	SIGMA: Scale-Invariant Global Sparse Shape Matching. CoRR Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2023	J	`jnl`	Temporal Action Localization for Inertial-based Human Activity Recognition. CoRR Marius Bock, Michael Möller, Kristof Van Laerhoven
2023	A*	`conf`	ΣIGMA: Scale-Invariant Global Sparse Shape Matching. ICCV Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard
2022	J	`jnl`	A Generative Model for Generic Light Field Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Möller
2022	—	`conf`	A Simple Strategy to Provable Invariance via Orbit Mapping. ACCV (5) Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2022	J	`jnl`	A Simple Strategy to Provable Invariance via Orbit Mapping. CoRR Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2022	A	`conf`	Deep Optimization Prior for THz Model Parameter Estimation. WACV Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Möller, Andreas Kolb
2022	B	`conf`	FL0C: Fast L0 Cut Pursuit for Estimation of Piecewise Constant Functions. ICIP Andreas Görlitz, Michael Möller, Andreas Kolb
2022	—	`conf`	Intrinsic Neural Fields: Learning Functions on Manifolds. ECCV (2) Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	J	`jnl`	Intrinsic Neural Fields: Learning Functions on Manifolds. CoRR Lukas Koestler, Daniel Grittner, Michael Möller, Daniel Cremers, Zorah Lähner
2022	J	`jnl`	Investigating (re)current state-of-the-art in human activity recognition datasets. Frontiers Comput. Sci. Marius Bock, Alexander Hoelzemann, Michael Möller, Kristof Van Laerhoven
2022	J	`jnl`	Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. SIAM J. Imaging Sci. Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2022	B	`conf`	Non-Smooth Energy Dissipating Networks. ICIP Hannah Dröge, Thomas Möllenhoff, Michael Möller
2022	B	`conf`	On Adversarial Robustness of Deep Image Deblurring. ICIP Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Möller
2022	J	`jnl`	Physical Representation Learning and Parameter Identification from Video Using Differentiable Physics. Int. J. Comput. Vis. Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
2021	J	`jnl`	Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization. CoRR Christina Runkel, Christian Etmann, Michael Möller, Carola-Bibiane Schönlieb
2021	B	`conf`	Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. ICIP Hannah Dröge, Michael Möller
2021	J	`jnl`	Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields. CoRR Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2021	J	`jnl`	Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi
2021	J	`jnl`	Q-Match: Iterative Shape Matching via Quantum Annealing. CoRR Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Möller
2021	J	`jnl`	Training or Architecture? How to Incorporate Invariance in Neural Networks. CoRR Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
2021	J	`jnl`	Tutorial on Deep Learning for Human Activity Recognition. CoRR Marius Bock, Alexander Hoelzemann, Michael Möller, Kristof Van Laerhoven
2020	B	`conf`	Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. ICPR Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Möller
2020	—	`conf`	Learning to Identify Physical Parameters from Video Using Differentiable Physics. GCPR Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Joerg Stueckler
2020	J	`jnl`	Learning to Identify Physical Parameters from Video Using Differentiable Physics. CoRR Rama Krishna Kandukuri, Jan Achterhold, Michael Möller, Jörg Stückler
2020	J	`jnl`	Nonlinear Spectral Geometry Processing via the TV Transform. CoRR Marco Fumero, Michael Möller, Emanuele Rodolà
2020	J	`jnl`	Nonlinear spectral geometry processing via the TV transform. ACM Trans. Graph. Marco Fumero, Michael Möller, Emanuele Rodolà
2019	A*	`conf`	Controlling Neural Networks via Energy Dissipation. ICCV Michael Möller, Thomas Möllenhoff, Daniel Cremers
2019	J	`jnl`	Controlling Neural Networks via Energy Dissipation. CoRR Michael Möller, Thomas Möllenhoff, Daniel Cremers
2019	—	`conf`	Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction. GCPR Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller
2019	J	`jnl`	Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction. CoRR Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller
2018	J	`jnl`	Composite Optimization by Nonconvex Majorization-Minimization. CoRR Jonas Geiping, Michael Möller
2018	J	`jnl`	Composite Optimization by Nonconvex Majorization-Minimization. SIAM J. Imaging Sci. Jonas Geiping, Michael Möller
2018	A*	`conf`	DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. CVPR Florian Bernard, Christian Theobalt, Michael Möller
2018	—	`conf`	Lifting Layers: Analysis and Applications. ECCV (1) Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2018	J	`jnl`	Lifting Layers: Analysis and Applications. CoRR Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2018	—	`conf`	Proximal Backpropagation. ICLR (Poster) Thomas Frerix, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2018	A	`conf`	Segmentation and Shape Extraction from Convolutional Neural Networks. WACV Mai Lan Ha, Gianni Franchi, Michael Möller, Andreas Kolb, Volker Blanz
2018	J	`jnl`	The homotopy method revisited: Computing solution paths of ℓ Math. Comput. Björn Bringmann, Daniel Cremers, Felix Krahmer, Michael Möller
2017	A*	`conf`	Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. ICCV Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017	J	`jnl`	Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. CoRR Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017	—	`conf`	Multiframe Motion Coupling for Video Super Resolution. EMMCVPR Jonas Geiping, Hendrik Dirks, Daniel Cremers, Michael Möller
2017	—	`conf`	Nonlinear Spectral Image Fusion. SSVM Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Nonlinear Spectral Image Fusion. CoRR Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Proximal Backpropagation. CoRR Thomas Frerix, Thomas Möllenhoff, Michael Möller, Daniel Cremers
2017	J	`jnl`	Regularized Pointwise Map Recovery from Functional Correspondence. Comput. Graph. Forum Emanuele Rodolà, Michael Möller, Daniel Cremers
2017	J	`jnl`	Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems. CoRR Florian Bernard, Christian Theobalt, Michael Möller
2016	J	`jnl`	Collaborative Total Variation: A General Framework for Vectorial TV Models. SIAM J. Imaging Sci. Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2016	J	`jnl`	Fast sparse reconstruction: Greedy inverse scale space flows. Math. Comput. Michael Möller, Xiaoqun Zhang
2016	J	`jnl`	Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution. CoRR Hendrik Dirks, Jonas Geiping, Daniel Cremers, Michael Möller
2016	J	`jnl`	Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. Guy Gilboa, Michael Möller, Martin Burger
2016	J	`jnl`	On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition. Image Process. Line Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2016	J	`jnl`	Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	J	`jnl`	Spectral Decompositions using One-Homogeneous Functionals. CoRR Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	—	`conf`	Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. ECCV (1) Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016	J	`jnl`	Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies. CoRR Emanuel Laude, Thomas Möllenhoff, Michael Möller, Jan Lellmann, Daniel Cremers
2016	A*	`conf`	Sublabel-Accurate Relaxation of Nonconvex Energies. CVPR Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2015	J	`jnl`	Collaborative Total Variation: A General Framework for Vectorial TV Models. CoRR Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2015	—	`conf`	Interactive Multi-label Segmentation of RGB-D Images. SSVM Julia Diebold, Nikolaus Demmel, Caner Hazirbas, Michael Möller, Daniel Cremers
2015	A*	`conf`	Learning Nonlinear Spectral Filters for Color Image Reconstruction. ICCV Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers
2015	J	`jnl`	Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR Guy Gilboa, Michael Möller, Martin Burger
2015	—	`conf`	Point-wise Map Recovery and Refinement from Functional Correspondence. VMV Emanuele Rodolà, Michael Möller, Daniel Cremers
2015	J	`jnl`	Point-wise Map Recovery and Refinement from Functional Correspondence. CoRR Emanuele Rodolà, Michael Möller, Daniel Cremers
2015	—	`conf`	Spectral Representations of One-Homogeneous Functionals. SSVM Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller
2015	J	`jnl`	Sublabel-Accurate Relaxation of Nonconvex Energies. CoRR Thomas Möllenhoff, Emanuel Laude, Michael Möller, Jan Lellmann, Daniel Cremers
2015	J	`jnl`	The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. SIAM J. Imaging Sci. Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2015	J	`jnl`	Variational Depth From Focus Reconstruction. IEEE Trans. Image Process. Michael Möller, Martin Benning, Carola Schönlieb, Daniel Cremers
2014	—	`conf`	A Novel Framework for Nonlocal Vectorial Total Variation Based on ℓ p, q, r -norms. EMMCVPR Joan Duran, Michael Möller, Catalina Sbert, Daniel Cremers
2014	J	`jnl`	A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities. J. Vis. Commun. Image Represent. Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab
2014	J	`jnl`	Color Bregman TV. SIAM J. Imaging Sci. Michael Möller, Eva-Maria Brinkmann, Martin Burger, Tamara Seybold
2014	—	`conf`	Low Rank Priors for Color Image Regularization. EMMCVPR Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2014	J	`jnl`	The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings. CoRR Thomas Möllenhoff, Evgeny Strekalovskiy, Michael Möller, Daniel Cremers
2014	J	`jnl`	Variational Depth from Focus Reconstruction. CoRR Michael Möller, Martin Benning, Carola-Bibiane Schönlieb, Daniel Cremers
2013	J	`jnl`	A dual split Bregman method for fast ℓ Math. Comput. Yi Yang, Michael Möller, Stanley J. Osher
2013	J	`jnl`	An adaptive inverse scale space method for compressed sensing. Math. Comput. Martin Burger, Michael Möller, Martin Benning, Stanley J. Osher
2013	J	`jnl`	Multiscale Methods for Polyhedral Regularizations. SIAM J. Optim. Michael Möller, Martin Burger
2012	J	`jnl`	A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space. IEEE Trans. Image Process. Ernie Esser, Michael Möller, Stanley J. Osher, Guillermo Sapiro, Jack Xin
2012	J	`jnl`	A Framework for Automated Cell Tracking in Phase Contrast Microscopic Videos based on Normal Velocities CoRR Michael Möller, Martin Burger, Peter Dieterich, Albrecht Schwab
2012	J	`jnl`	A Variational Approach for Sharpening High Dimensional Images. SIAM J. Imaging Sci. Michael Möller, Todd Wittman, Andrea L. Bertozzi, Martin Burger
2012	—	`—`	Multiscale methods for (generalized) sparse recovery and applications in high dimensional imaging. Michael Möller
2012	C	`conf`	The adaptive inverse scale space method for hyperspectral unmixing. IGARSS Michael Möller
2010	J	`jnl`	An Adaptive IHS Pan-Sharpening Method. IEEE Geosci. Remote. Sens. Lett. Sheida Rahmani, Melissa Strait, Daria Merkurjev, Michael Möller, Todd Wittman