Matthias Rottmann

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All published works

Action	Title	Year	Authors
+ PDF Chat	Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving	2025	Nert Keser Halil Ibrahim Orhan Niki Amini-Naieni Gesina Schwalbe Alois Knoll Matthias Rottmann
+ PDF Chat	Unveiling Ontological Commitment in Multi-Modal Foundation Models	2024	Mert Keser Gesina Schwalbe Niki Amini-Naieni Matthias Rottmann Alois Knoll
+ PDF Chat	OoDIS: Anomaly Instance Segmentation Benchmark	2024	A. N. Nekrasov Rui Zhou Miriam Ackermann Alexander Hermans Bastian Leibe Matthias Rottmann
+	Deep Active Learning with Noisy Oracle in Object Detection	2024	Marius Schubert Tobias Riedlinger Karsten Kahl Matthias Rottmann
+ PDF Chat	A convenient infinite dimensional framework for generative adversarial learning	2023	Hayk Asatryan Hanno Gottschalk Marieke Lippert Matthias Rottmann
+ PDF Chat	Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors	2023	Tobias Riedlinger Matthias Rottmann Marius Schubert Hanno Gottschalk
+ PDF Chat	Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification	2023	Matthias Rottmann Marco Reese
+	False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation	2023	Kira Maag Matthias Rottmann
+	LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds	2023	Tobias Riedlinger Marius Schubert Sarina Penquitt Jan-Marcel Kezmann Pascal Colling Karsten Kahl Lutz Roese-Koerner Matthew Arnold Urs Zimmermann Matthias Rottmann
+	Deep Active Learning with Noisy Oracle in Object Detection	2023	Marius Schubert Tobias Riedlinger Karsten Kahl Matthias Rottmann
+	Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety	2022	Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde Patrick Feifel Tim Fingscheidt Sujan Sai Gannamaneni Seyed Eghbal Ghobadi Ahmed Hammam
+ PDF Chat	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation	2021	Pascal Colling Matthias Rottmann Lutz Roese-Koerner Hanno Gottschalk
+ PDF Chat	Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation	2021	Robin Chan Matthias Rottmann Hanno Gottschalk
+ PDF Chat	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection	2021	Marius Schubert Karsten Kahl Matthias Rottmann
+ PDF Chat	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates	2021	Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk
+ PDF Chat	Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis	2021	Julia Rosenzweig Eduardo Brito Hans‐Ulrich Kobialka Maram Akila Nico M. Schmidt Peter Schlicht Ján Schneider Fabian Hüger Matthias Rottmann Sebastian Houben
+	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors	2021	Kamil Kowol Matthias Rottmann Stefan Bracke Hanno Gottschalk
+	MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps	2021	Pascal Colling Lutz Roese-Koerner Hanno Gottschalk Matthias Rottmann
+	SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation	2021	Robin Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum Sina Honari Roland Siegwart Mathieu Salzmann Pascal Fua Matthias Rottmann
+ PDF Chat	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks	2020	Kira Maag Matthias Rottmann Hanno Gottschalk
+	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors	2020	Kamil Kowol Matthias Rottmann Stefan Bracke Hanno Gottschalk
+	MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps	2020	Pascal Colling Lutz Roese-Koerner Hanno Gottschalk Matthias Rottmann
+	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection	2020	Marius Schubert Karsten Kahl Matthias Rottmann
+ PDF Chat	A multigrid accelerated eigensolver for the Hermitian Wilson–Dirac operator in lattice QCD	2020	Andreas Frommer Karsten Kahl Francesco Knechtli Matthias Rottmann Artur Strebel Ian N. Zwaan
+ PDF Chat	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities	2020	Matthias Rottmann Pascal Colling Thomas Paul Hack Robin Chan Fabian Hüger Peter Schlicht Hanno Gottschalk
+ PDF Chat	Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation	2020	Philipp Oberdiek Matthias Rottmann Gernot A. Fink
+	Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation	2020	Philipp Oberdiek Matthias Rottmann Gernot A. Fink
+ PDF Chat	Detection of False Positive and False Negative Samples in Semantic Segmentation	2020	Matthias Rottmann Kira Maag Robin Chan Fabian Hüger Peter Schlicht Hanno Gottschalk
+	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates	2020	Kira Maag Matthias Rottmann Serin Varghese Fabian Hueger Peter Schlicht Hanno Gottschalk
+	Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation	2020	Robin Chan Matthias Rottmann Hanno Gottschalk
+	Detection of False Positive and False Negative Samples in Semantic Segmentation	2019	Matthias Rottmann Kira Maag Robin Chan Fabian Hüger Peter Schlicht Hanno Gottschalk
+ PDF Chat	The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Radin Dardashti Fabian Hüger Peter Schlicht Hanno Gottschalk
+ PDF Chat	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images	2019	Matthias Rottmann Marius Schubert
+	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images	2019	Matthias Rottmann Marius Schubert
+	Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk
+	The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Radin Dardashti Fabian Hüger Peter Schlicht Hanno Gottschalk
+	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks	2019	Kira Maag Matthias Rottmann Hanno Gottschalk
+	MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk
+	Classification Uncertainty of Deep Neural Networks Based on Gradient Information	2018	Philipp Oberdiek Matthias Rottmann Hanno Gottschalk
+	Deep Bayesian Active Semi-Supervised Learning	2018	Matthias Rottmann Karsten Kahl Hanno Gottschalk
+	Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid	2018	Karsten Kahl Matthias Rottmann
+ PDF Chat	Classification Uncertainty of Deep Neural Networks Based on Gradient Information	2018	Philipp Oberdiek Matthias Rottmann Hanno Gottschalk
+ PDF Chat	Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid	2018	Karsten Kahl Matthias Rottmann
+ PDF Chat	DDalphaAMG for Twisted Mass Fermions	2016	Simone Bacchio Costantia Alexandrou Jacob Finkenrath Andreas Frommer Karsten Kahl Matthias Rottmann
+ PDF Chat	Adaptive aggregation-based domain decomposition multigrid for twisted mass fermions	2016	Constantia Alexandrou Simone Bacchio Jacob Finkenrath Andreas Frommer Karsten Kahl Matthias Rottmann
+	DDalphaAMG for Twisted Mass Fermions	2016	Simone Bacchio Costantia Alexandrou Jacob Finkenrath Andreas Frommer Karsten Kahl Matthias Rottmann
+ PDF Chat	Adaptive algebraic multigrid on SIMD architectures	2016	Tilo Wettig Simon Heybrock Matthias Rottmann Georg Peter
+	Adaptive algebraic multigrid on SIMD architectures	2015	Simon Heybrock Matthias Rottmann Peter Georg Tilo Wettig
+	(Approximate) Low-Mode Averaging with a new Multigrid Eigensolver	2015	Gunnar Bali Sara Collins Andreas Frommer Karsten Kahl Issaku Kanamori Benjamin Müller Matthias Rottmann Jakob Simeth
+ PDF Chat	Multigrid preconditioning for the overlap operator in lattice QCD	2015	James Brannick Andreas Frommer Karsten Kahl Björn Leder Matthias Rottmann Artur Strebel
+	Multigrid Preconditioning for the Overlap Operator in Lattice QCD	2014	James Brannick Andreas Frommer Karsten Kahl Björn Leder Matthias Rottmann Artur Strebel
+	Adaptive Aggregation Based Domain Decomposition Multigrid for the Lattice Wilson Dirac Operator	2013	Andreas Frommer Karsten Kahl Stefan Krieg Björn Leder Matthias Rottmann
+	An adaptive aggregation based domain decomposition multilevel method for the lattice wilson dirac operator: multilevel results	2013	Andreas Frommer Karsten Kahl Stefan Krieg Björn Leder Matthias Rottmann
+ PDF Chat	Aggregation-based Multilevel Methods for Lattice QCD	2012	Matthias Rottmann Andreas Frommer Karsten Kahl Stefan Krieg Björn Leder
+	Aggregation-based Multilevel Methods for Lattice QCD	2012	Andreas Frommer Karsten Kahl Stefan Krieg Björn Leder Matthias Rottmann

Common Coauthors

Coauthor	Papers Together
Hanno Gottschalk	23
Karsten Kahl	19
Peter Schlicht	10
Robin Chan	10
Fabian Hüger	9
Andreas Frommer	9
Marius Schubert	8
Kira Maag	7
Björn Leder	6
Pascal Colling	5
Tobias Riedlinger	4
Lutz Roese-Koerner	4
Philipp Oberdiek	4
Stefan Krieg	4
Gesina Schwalbe	3
Artur Strebel	3
Jacob Finkenrath	3
Serin Varghese	3
Simone Bacchio	3
Stefan Bracke	2
Andreas Frommer	2
Niki Amini-Naieni	2
Tim Wirtz	2
Maram Akila	2
Sebastian Houben	2
James Brannick	2
Costantia Alexandrou	2
Simon Heybrock	2
Tilo Wettig	2
Alois Knoll	2
Radin Dardashti	2
Kamil Kowol	2
Gernot A. Fink	2
Ján Schneider	2
Svetlana Pavlitskaya	1
Felix Brockherde	1
Firas Mualla	1
Fabian Hueger	1
Michael Mlynarski	1
Peter Georg	1
Marieke Lippert	1
Nikhil Kapoor	1
Sujan Sai Gannamaneni	1
Hermann Blum	1
Anselm Haselhoff	1
Francesco Knechtli	1
Jan Kronenberger	1
Seyed Eghbal Ghobadi	1
Marvin Klingner	1
A. N. Nekrasov	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities	2020	Matthias Rottmann Pascal Colling Thomas Paul Hack Robin Chan Fabian Hüger Peter Schlicht Hanno Gottschalk	22
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	22
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	18
+ PDF Chat	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images	2019	Matthias Rottmann Marius Schubert	15
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	15
+ PDF Chat	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks	2020	Kira Maag Matthias Rottmann Hanno Gottschalk	14
+ PDF Chat	Classification Uncertainty of Deep Neural Networks Based on Gradient Information	2018	Philipp Oberdiek Matthias Rottmann Hanno Gottschalk	11
+	Principled Detection of Out-of-Distribution Examples in Neural Networks.	2017	Shiyu Liang Yixuan Li Ramakrishnan Srikant	11
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	10
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	9
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	9
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	8
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	8
+	Leveraging Uncertainty Estimates for Predicting Segmentation Quality.	2018	Terrance DeVries Graham W. Taylor	8
+ PDF Chat	Adaptive Multigrid Algorithm for the Lattice Wilson-Dirac Operator	2010	Ronald Babich James Brannick Richard C. Brower M. A. Clark Thomas A. Manteuffel Stephen F. McCormick James C. Osborn C. Rebbi	8
+	Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk	8
+ PDF Chat	Adaptive Multigrid Algorithm for Lattice QCD	2008	James Brannick Richard C. Brower M. A. Clark James C. Osborn C. Rebbi	8
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	8
+ PDF Chat	Efficient Uncertainty Estimation for Semantic Segmentation in Videos	2018	Po‐Yu Huang Wan‐Ting Hsu Chun-Yueh Chiu Tingfan Wu Min Sun	7
+	Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps	2019	Kristoffer Wickstrøm Michael Kampffmeyer Robert Jenssen	7
+ PDF Chat	Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson--Dirac Operator	2014	Andreas Frommer Karsten Kahl Stefan Krieg Björn Leder Matthias Rottmann	7
+	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities	2018	Matthias Rottmann Pascal Colling Thomas-Paul Hack Robin Chan Fabian Hüger Peter Schlicht Hanno Gottschalk	6
+ PDF Chat	Solution of the Dirac equation in lattice QCD using a domain decomposition method	2003	Martin Lüscher	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+ PDF Chat	Multivariate Confidence Calibration for Object Detection	2020	Fabian Küppers Jan Kronenberger Amirhossein Shantia Anselm Haselhoff	6
+	MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk	6
+ PDF Chat	Improving Semantic Segmentation via Video Propagation and Label Relaxation	2019	Yi Zhu Karan Sapra Fitsum A. Reda Kevin J. Shih Shawn Newsam Andrew Tao Bryan Catanzaro	6
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	6
+	Local coherence and deflation of the low quark modes in lattice QCD	2007	Martin Lüscher	6
+	Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection	2017	Onur Özdemir Benjamin Woodward Andrew A. Berlin	6
+	Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation	2018	Andrew Howard Andrey Zhmoginov Liang-Chieh Chen Mark Sandler Menglong Zhu	6
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	6
+ PDF Chat	Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling	2018	Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger	6
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	5
+	Stochastic gradient boosting	2002	Jerome H. Friedman	5
+	Learning Confidence for Out-of-Distribution Detection in Neural Networks	2018	Terrance DeVries Graham W. Taylor	5
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	5
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	5
+	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images	2019	Matthias Rottmann Marius Schubert	5
+	Towards neural networks that provably know when they don't know	2019	Alexander Meinke Matthias Hein	5
+ PDF Chat	Dropout Sampling for Robust Object Detection in Open-Set Conditions	2018	Dimity Miller Lachlan Nicholson Feras Dayoub Niko Sünderhauf	4
+ PDF Chat	Uncertainty Estimation in One-Stage Object Detection	2019	Florian Kraus Klaus Dietmayer	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection	2020	Marius Schubert Karsten Kahl Matthias Rottmann	4
+ PDF Chat	Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	2020	Alireza Mehrtash William M. Wells Clare M. Tempany Purang Abolmaesumi Tina Kapur	4
+	Leveraging Uncertainty Estimates for Predicting Segmentation Quality	2018	Terrance DeVries Graham W. Taylor	4
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	4
+ PDF Chat	Lattice QCD at the physical point: Light quark masses	2011	Stephan Dürr Z. Fodor Christian Hoelbling S. D. Katz Stefan Krieg Thorsten Kurth Laurent Lellouch Thomas Lippert K. K. Szabó G. Vulvert	4
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	4
+ PDF Chat	Lattice QCD at the physical point: simulation and analysis details	2011	S. Dürr Z. Fodor Christian Hoelbling S. D. Katz Stefan Krieg Thorsten Kurth Laurent Lellouch Thomas Lippert K. K. Szabó G. Vulvert	4