Matthias Rottmann

120 papers A* 3A 10B 7C 4Journal 76Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings. CoRR Gesina Schwalbe, Mert Keser, Moritz Bayerkuhnlein, Edgar Heinert, Annika Mütze, Marvin Keller, Sparsh Tiwari, Georgii Mikriukov, Diedrich Wolter, Jae Hee Lee, Matthias Rottmann
2026	—	`conf`	From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets. VISAPP (2) Sarina Penquitt, Jonathan Klees, Rinor Cakaj, Daniel Kondermann, Matthias Rottmann, Lars Schmarje
2026	—	`conf`	FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking. VISAPP (3) Martha Teiko Teye, Ori Maoz, Matthias Rottmann
2026	J	`jnl`	Out-of-Distribution Object Detection in Street Scenes via Synthetic Outlier Exposure and Transfer Learning. CoRR Sadia Ilyas, Annika Mütze, Klaus Friedrichs, Thomas Kurbiel, Matthias Rottmann
2026	J	`jnl`	Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis. CoRR Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr, Edgar Heinert, Niko Sünderhauf, Dimity Miller, Matthias Rottmann
2026	J	`jnl`	Probabilistic Label Spreading: Efficient and Consistent Estimation of Soft Labels with Epistemic Uncertainty on Graphs. CoRR Jonathan Klees, Tobias Riedlinger, Peter Stehr, Bennet Böddecker, Daniel Kondermann, Matthias Rottmann
2025	J	`jnl`	Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving. CoRR Mert Keser, Halil Ibrahim Orhan, Niki Amini-Naieni, Gesina Schwalbe, Alois Knoll, Matthias Rottmann
2025	J	`jnl`	Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? CoRR Annika Mütze, Sadia Ilyas, Christian Dörpelkus, Matthias Rottmann
2025	J	`jnl`	Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving? CoRR Natalie Grabowsky, Annika Mütze, Joshua Wendland, Nils Jansen, Matthias Rottmann
2025	J	`jnl`	From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets. CoRR Sarina Penquitt, Jonathan Klees, Rinor Cakaj, Daniel Kondermann, Matthias Rottmann, Lars Schmarje
2025	J	`jnl`	FutrTrack: A Camera-LiDAR Fusion Transformer for 3D Multiple Object Tracking. CoRR Martha Teiko Teye, Ori Maoz, Matthias Rottmann
2025	A	`conf`	LFA Applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis. ECAI Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	LFA applied to CNNs: Efficient Singular Value Decomposition of Convolutional Mappings by Local Fourier Analysis. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. Int. J. Comput. Vis. Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2025	J	`jnl`	Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets. CoRR Sarina Penquitt, Tobias Riedlinger, Timo Heller, Markus Reischl, Matthias Rottmann
2025	J	`jnl`	LiDAR MOT-DETR: A LiDAR-based Two-Stage Transformer for 3D Multiple Object Tracking. CoRR Martha Teiko Teye, Ori Maoz, Matthias Rottmann
2025	—	`conf`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. xAI (4) Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2025	J	`jnl`	On Background Bias of Post-Hoc Concept Embeddings in Computer Vision DNNs. CoRR Gesina Schwalbe, Georgii Mikriukov, Edgar Heinert, Stavros Gerolymatos, Mert Keser, Alois Knoll, Matthias Rottmann, Annika Mütze
2025	A	`conf`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. ECAI Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2025	A*	`conf`	OoDIS: Anomaly Instance Segmentation and Detection Benchmark. ICRA Alexey Nekrasov, Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann
2025	C	`conf`	Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets. ICPRAM Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2025	J	`jnl`	Shape Bias and Robustness Evaluation via Cue Decomposition for Image Classification and Segmentation. CoRR Edgar Heinert, Thomas Gottwald, Annika Mütze, Matthias Rottmann
2025	J	`jnl`	TARS: Traffic-Aware Radar Scene Flow Estimation. CoRR Jialong Wu, Marco Braun, Dominic Spata, Matthias Rottmann
2025	J	`jnl`	Temporal Object Captioning for Street Scene Videos from LiDAR Tracks. CoRR Vignesh Gopinathan, Urs Zimmermann, Michael Arnold, Matthias Rottmann
2025	A	`conf`	Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. ECAI Ben Hamscher, Edgar Heinert, Annika Mütze, Kira Maag, Matthias Rottmann
2025	J	`jnl`	Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks. CoRR Ben Hamscher, Edgar Heinert, Annika Mütze, Kira Maag, Matthias Rottmann
2025	J	`jnl`	Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Visibility. CoRR Thomas Gottwald, Edgar Heinert, Matthias Rottmann
2024	A	`conf`	AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. BMVC Krzysztof Baron-Lis, Matthias Rottmann, Annika Mütze, Sina Honari, Pascal Fua, Mathieu Salzmann
2024	—	`conf`	Deep Active Learning with Noisy Oracle in Object Detection. VISIGRAPP (2): VISAPP Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
2024	A	`conf`	Identifying Label Errors in Object Detection Datasets by Loss Inspection. WACV Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
2024	J	`jnl`	On the Influence of Shape, Texture and Color for Learning Semantic Segmentation. CoRR Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk
2024	—	`conf`	On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes. ECCV Workshops (18) Sadia Ilyas, Ido Freeman, Matthias Rottmann
2024	J	`jnl`	On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes. CoRR Sadia Ilyas, Ido Freeman, Matthias Rottmann
2024	J	`jnl`	OoDIS: Anomaly Instance Segmentation Benchmark. CoRR Alexey Nekrasov, Rui Zhou, Miriam Ackermann, Alexander Hermans, Bastian Leibe, Matthias Rottmann
2024	A	`conf`	Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. ECAI Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024	J	`jnl`	Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion. CoRR Edgar Heinert, Matthias Rottmann, Kira Maag, Karsten Kahl
2024	—	`conf`	ResBuilder: Automated Learning of Depth with Residual Structures. ICANN (1) Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
2024	—	`conf`	SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data. ECCV (86) Jialong Wu, Mirko Meuter, Markus Schoeler, Matthias Rottmann
2024	J	`jnl`	SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data. CoRR Jialong Wu, Mirko Meuter, Markus Schoeler, Matthias Rottmann
2024	—	`conf`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. VISIGRAPP (2): VISAPP Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2024	—	`conf`	Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Network. BMVC Workshops Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann
2024	J	`jnl`	Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks. CoRR Edgar Heinert, Stephan Tilgner, Timo Palm, Matthias Rottmann
2024	J	`jnl`	Unveiling Ontological Commitment in Multi-Modal Foundation Models. CoRR Mert Keser, Gesina Schwalbe, Niki Amini-Naieni, Matthias Rottmann, Alois Knoll
2023	A	`conf`	Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification. WACV Matthias Rottmann, Marco Reese
2023	J	`jnl`	Coarsest-level improvements in multigrid for lattice QCD on large-scale computers. Comput. Phys. Commun. Jesús A. Espinoza Valverde, Andreas Frommer, Gustavo Ramirez-Hidalgo, Matthias Rottmann
2023	J	`jnl`	Deep Active Learning with Noisy Oracle in Object Detection. CoRR Marius Schubert, Tobias Riedlinger, Karsten Kahl, Matthias Rottmann
2023	J	`jnl`	Detection of Iterative Adversarial Attacks via Counter Attack. J. Optim. Theory Appl. Matthias Rottmann, Kira Maag, Mathis Peyron, Hanno Gottschalk, Natasa Krejic
2023	—	`conf`	False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation. VISIGRAPP (5: VISAPP) Kira Maag, Matthias Rottmann
2023	A	`conf`	Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. WACV Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
2023	J	`jnl`	Identifying Label Errors in Object Detection Datasets by Loss Inspection. CoRR Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Sebastian Schoenen, Sinisa Segvic, Matthias Rottmann
2023	—	`conf`	LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	J	`jnl`	LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. CoRR Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
2023	—	`conf`	MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions. ICCV (Workshops) Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2023	J	`jnl`	Prediction Quality Meta Regression and Error Meta Classification for Segmented Lidar Point Clouds. Int. J. Artif. Intell. Tools Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2023	J	`jnl`	ResBuilder: Automated Learning of Depth with Residual Structures. CoRR Julian Burghoff, Matthias Rottmann, Jill von Conta, Sebastian Schoenen, Andreas Witte, Hanno Gottschalk
2023	—	`conf`	Semi-Supervised Domain Adaptation with CycleGAN Guided by Downstream Task Awareness. VISIGRAPP (5: VISAPP) Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2023	J	`jnl`	Uncertainty quantification for deep learning-based schemes for solving high-dimensional backward stochastic differential equations. CoRR Lorenc Kapllani, Long Teng, Matthias Rottmann
2023	J	`jnl`	What should AI see? Using the public's opinion to determine the perception of an AI. AI Ethics Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2022	J	`jnl`	AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. CoRR Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann
2022	J	`jnl`	Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification. CoRR Matthias Rottmann, Marco Reese
2022	J	`jnl`	Coarsest-level improvements in multigrid for lattice QCD on large-scale computers. CoRR Jesús A. Espinoza Valverde, Andreas Frommer, Gustavo Ramirez-Hidalgo, Matthias Rottmann
2022	J	`jnl`	Detecting and Learning the Unknown in Semantic Segmentation. CoRR Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation. CoRR Kira Maag, Matthias Rottmann
2022	C	`conf`	HD Lane Map Generation Based on Trail Map Aggregation. IV Pascal Colling, Dennis Müller, Matthias Rottmann
2022	J	`jnl`	MGiaD: Multigrid in all dimensions. Efficiency and robustness by coarsening in resolution and channel dimensions. CoRR Antonia van Betteray, Matthias Rottmann, Karsten Kahl
2022	J	`jnl`	Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. CoRR Annika Mütze, Matthias Rottmann, Hanno Gottschalk
2022	J	`jnl`	Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. CoRR Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann
2022	J	`jnl`	Towards Unsupervised Open World Semantic Segmentation. CoRR Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	A	`conf`	Towards unsupervised open world semantic segmentation. UAI Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022	A*	`conf`	UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. NeurIPS Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann
2022	J	`jnl`	UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. CoRR Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann
2022	J	`jnl`	Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. CoRR Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
2022	J	`jnl`	What should AI see? Using the Public's Opinion to Determine the Perception of an AI. CoRR Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2021	J	`jnl`	A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD. Comput. Phys. Commun. Andreas Frommer, Karsten Kahl, Francesco Knechtli, Matthias Rottmann, Artur Strebel, Ian Zwaan
2021	J	`jnl`	Background-Foreground Segmentation for Interior Sensing in Automotive Industry. CoRR Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel
2021	J	`jnl`	Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance? CoRR Hanno Gottschalk, Matthias Rottmann, Maida Saltagic
2021	A*	`conf`	Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. ICCV Robin Chan, Matthias Rottmann, Hanno Gottschalk
2021	B	`conf`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. ICTAI Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	J	`jnl`	False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation. CoRR Pascal Colling, Matthias Rottmann, Lutz Roese-Koerner, Hanno Gottschalk
2021	J	`jnl`	Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors. CoRR Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk
2021	B	`conf`	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2021	J	`jnl`	Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
2021	C	`conf`	MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps. ICPRAM Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2021	B	`conf`	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. IJCNN Marius Schubert, Karsten Kahl, Matthias Rottmann
2021	—	`conf`	SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. NeurIPS Datasets and Benchmarks Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
2021	J	`jnl`	SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
2021	—	`conf`	Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. IV Workshops Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
2021	J	`jnl`	Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. CoRR Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz
2021	—	`conf`	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. ICAART (2) Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
2020	J	`jnl`	A Convenient Infinite Dimensional Framework for Generative Adversarial Learning. CoRR Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann
2020	B	`conf`	Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. IJCNN Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	—	`conf`	Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. CVPR Workshops Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink
2020	J	`jnl`	Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation. CoRR Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink
2020	A	`conf`	Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	J	`jnl`	Detection of Iterative Adversarial Attacks via Counter Attack. CoRR Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk
2020	J	`jnl`	Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Hanno Gottschalk
2020	J	`jnl`	Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	J	`jnl`	MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps. CoRR Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann
2020	J	`jnl`	MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection. CoRR Marius Schubert, Karsten Kahl, Matthias Rottmann
2020	B	`conf`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020	B	`conf`	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. ICTAI Kira Maag, Matthias Rottmann, Hanno Gottschalk
2020	J	`jnl`	YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. CoRR Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
2019	J	`jnl`	Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	B	`conf`	Period Index: A Learned 2D Hash Index for Range and Duration Queries. SSTD Andreas Behrend, Anton Dignös, Johann Gamper, Philip Schmiegelt, Hannes Voigt, Matthias Rottmann, Karsten Kahl
2019	—	`conf`	The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. CVPR Workshops Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. CoRR Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019	J	`jnl`	Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks. CoRR Kira Maag, Matthias Rottmann, Hanno Gottschalk
2019	—	`conf`	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images. CVPR Workshops Matthias Rottmann, Marius Schubert
2019	J	`jnl`	Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images. CoRR Matthias Rottmann, Marius Schubert
2018	—	`conf`	Classification Uncertainty of Deep Neural Networks Based on Gradient Information. ANNPR Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
2018	J	`jnl`	Classification Uncertainty of Deep Neural Networks Based on Gradient Information. CoRR Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
2018	C	`conf`	Deep Bayesian Active Semi-Supervised Learning. ICMLA Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Deep Bayesian Active Semi-Supervised Learning. CoRR Matthias Rottmann, Karsten Kahl, Hanno Gottschalk
2018	J	`jnl`	Least Angle Regression Coarsening in Bootstrap Algebraic Multigrid. SIAM J. Sci. Comput. Karsten Kahl, Matthias Rottmann
2018	J	`jnl`	Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. CoRR Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2016	J	`jnl`	Multigrid preconditioning for the overlap operator in lattice QCD. Numerische Mathematik James J. Brannick, Andreas Frommer, Karsten Kahl, Björn Leder, Matthias Rottmann, Artur Strebel
2014	J	`jnl`	Adaptive Aggregation-Based Domain Decomposition Multigrid for the Lattice Wilson-Dirac Operator. SIAM J. Sci. Comput. Andreas Frommer, Karsten Kahl, Stefan Krieg, Björn Leder, Matthias Rottmann