Michael Moeller

51 papers A* 11A 3B 2Misc 3Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Label Leakage in Federated Inertial-based Human Activity Recognition. ISWC Marius Bock, Maximilian Hopp, Kristof Van Laerhoven, Michael Moeller
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part I GCPR (1) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	—	`ed.`	Pattern Recognition - 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II GCPR (2) Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel
2025	A*	`conf`	QuCOOP: A Versatile Framework for Solving Composite and Binary-Parametrised Problems on Quantum Annealers. CVPR Natacha Kuete Meli, Vladislav Golyanik, Marcel Seelbach Benkner, Michael Moeller
2025	—	`conf`	Training Data Reconstruction: Privacy due to Uncertainty? CVPR Workshops Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schönlieb, Michael Moeller
2024	—	`conf`	3D Shape Completion with Test-Time Training. GRaM Michael Schopf-Kuester, Zorah Lähner, Michael Moeller
2024	J	`jnl`	Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller
2024	A*	`conf`	Implicit Representations for Constrained Image Segmentation. ICML Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik, Andreas Kolb, Margret Keuper, Michael Moeller
2024	J	`jnl`	Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller
2024	B	`conf`	Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. ICCP Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Bhaskar Choubey, Andreas Kolb
2024	J	`jnl`	Training Data Reconstruction: Privacy due to Uncertainty? CoRR Christina Runkel, Kanchana Vaishnavi Gandikota, Jonas Geiping, Carola-Bibiane Schönlieb, Michael Moeller
2024	—	`conf`	Variable layout CMOS pixels for end-to-end learning in task specific Image Sensors. AICAS Bhaskar Choubey, Hendrik Sommerhoff, Michael Moeller, Andreas Kolb
2024	Misc	`conf`	Weak-Annotation of HAR Datasets using Vision Foundation Models. ISWC Marius Bock, Kristof Van Laerhoven, Michael Moeller
2023	—	`conf`	An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM Jovita Lukasik, Michael Moeller, Margret Keuper
2023	A*	`conf`	CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. CVPR Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
2023	J	`jnl`	CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. CoRR Harshil Bhatia, Edith Tretschk, Zorah Lähner, Marcel Seelbach Benkner, Michael Moeller, Christian Theobalt, Vladislav Golyanik
2023	J	`jnl`	Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters. CoRR Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb
2023	A*	`conf`	Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
2023	—	`conf`	On the Direct Alignment of Latent Spaces. UniReps Zorah Lähner, Michael Moeller
2023	A*	`conf`	QuAnt: Quantum Annealing with Learnt Couplings. ICLR Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2023	J	`jnl`	WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition. CoRR Marius Bock, Michael Moeller, Kristof Van Laerhoven, Hilde Kuehne
2022	J	`jnl`	Convergent Data-driven Regularizations for CT Reconstruction. CoRR Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger
2022	A	`conf`	Explorable Data Consistent CT Reconstruction. BMVC Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller
2022	J	`jnl`	On Adversarial Robustness of Deep Image Deblurring. CoRR Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Moeller
2022	J	`jnl`	QuAnt: Quantum Annealing with Learnt Couplings. CoRR Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
2022	A*	`conf`	Stochastic Training is Not Necessary for Generalization. ICLR Jonas Geiping, Micah Goldblum, Phillip Pope, Michael Moeller, Tom Goldstein
2021	J	`jnl`	Adiabatic Quantum Graph Matching with Permutation Matrix Constraints. CoRR Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, Michael Moeller
2021	J	`jnl`	DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity. CoRR Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller
2021	Misc	`conf`	Improving Deep Learning for HAR with Shallow LSTMs. ISWC Marius Bock, Alexander Hölzemann, Michael Moeller, Kristof Van Laerhoven
2021	J	`jnl`	Improving Deep Learning for HAR with shallow LSTMs. CoRR Marius Bock, Alexander Hoelzemann, Michael Moeller, Kristof Van Laerhoven
2021	A*	`conf`	Q-Match: Iterative Shape Matching via Quantum Annealing. ICCV Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller
2021	J	`jnl`	Stochastic Training is Not Necessary for Generalization. CoRR Jonas Geiping, Micah Goldblum, Phillip E. Pope, Michael Moeller, Tom Goldstein
2021	J	`jnl`	What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors. CoRR Jonas Geiping, Liam Fowl, Gowthami Somepalli, Micah Goldblum, Michael Moeller, Tom Goldstein
2021	A*	`conf`	Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. ICLR Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
2020	B	`conf`	A Simple Domain Shifting Network for Generating Low Quality Images. ICPR Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller
2020	J	`jnl`	A Simple Domain Shifting Network for Generating Low Quality Images. CoRR Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller
2020	—	`conf`	Adiabatic Quantum Graph Matching with Permutation Matrix Constraints. 3DV Marcel Seelbach Benkner, Vladislav Golyanik, Christian Theobalt, Michael Moeller
2020	J	`jnl`	Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction. CoRR Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister, Michael Moeller
2020	A	`conf`	Fast Convex Relaxations using Graph Discretizations. BMVC Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller
2020	J	`jnl`	Fast Convex Relaxations using Graph Discretizations. CoRR Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister, Michael Moeller
2020	J	`jnl`	Generative Models for Generic Light Field Reconstruction. CoRR Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Moeller
2020	A*	`conf`	Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
2020	J	`jnl`	Inverting Gradients - How easy is it to break privacy in federated learning? CoRR Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
2020	A*	`conf`	Truth or backpropaganda? An empirical investigation of deep learning theory. ICLR Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein
2020	J	`jnl`	Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
2019	A*	`conf`	Parametric Majorization for Data-Driven Energy Minimization Methods. ICCV Jonas Geiping, Michael Moeller
2019	J	`jnl`	Parametric Majorization for Data-Driven Energy Minimization Methods. CoRR Jonas Geiping, Michael Moeller
2019	J	`jnl`	Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory. CoRR Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein
2018	J	`jnl`	Are good local minima wide in sparse recovery? CoRR Michael Moeller, Otmar Loffeld, Juergen Gall, Felix Krahmer
2018	J	`jnl`	Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation. CoRR Rania Briq, Michael Moeller, Juergen Gall
2018	A	`conf`	Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation. BMVC Rania Briq, Michael Moeller, Jürgen Gall