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Background-Foreground Segmentation for Interior Sensing in Automotive Industry


Sep 20, 2021
Claudia Drygala, Matthias Rottmann, Hanno Gottschalk, Klaus Friedrichs, Thomas Kurbiel


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Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors


Jul 09, 2021
Tobias Riedlinger, Matthias Rottmann, Marius Schubert, Hanno Gottschalk

* 20 pages, 8 figures, 7 tables 

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Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis


Jun 10, 2021
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

* The first two authors contributed equally. Accepted at the 4th Workshop on "Ensuring and Validating Safety for Automated Vehicles" (WS13), IV2021. Under IEEE Copyright 

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SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation


Apr 30, 2021
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann

* 10 pages, 13 figures, website http://www.segmentmeifyoucan.com/ 

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Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety


Apr 29, 2021
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

* 94 pages 

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Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates


Dec 14, 2020
Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk


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Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation


Dec 09, 2020
Robin Chan, Matthias Rottmann, Hanno Gottschalk

* 15 pages, 16 figures 

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A Convenient Infinite Dimensional Framework for Generative Adversarial Learning


Nov 24, 2020
Hayk Asatryan, Hanno Gottschalk, Marieke Lippert, Matthias Rottmann


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YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors


Oct 07, 2020
Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk


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MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection


Oct 06, 2020
Marius Schubert, Karsten Kahl, Matthias Rottmann

* 11 pages, 5 figures, 5 tables 

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MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps


Oct 05, 2020
Pascal Colling, Lutz Roese-Koerner, Hanno Gottschalk, Matthias Rottmann


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Detection of Iterative Adversarial Attacks via Counter Attack


Sep 23, 2020
Matthias Rottmann, Mathis Peyron, Natasa Krejic, Hanno Gottschalk


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Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation


May 14, 2020
Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink


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MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation


Dec 16, 2019
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk


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Detection of False Positive and False Negative Samples in Semantic Segmentation


Dec 08, 2019
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk


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Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks


Nov 12, 2019
Kira Maag, Matthias Rottmann, Hanno Gottschalk


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The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation


Jul 02, 2019
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk

* CVPR-W SAIAD 2019 

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Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images


Apr 09, 2019
Matthias Rottmann, Marius Schubert


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Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation


Jan 24, 2019
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk

* 11 pages, 21 figures 

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Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities


Nov 01, 2018
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk


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Classification Uncertainty of Deep Neural Networks Based on Gradient Information


Jul 26, 2018
Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk


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Deep Bayesian Active Semi-Supervised Learning


Mar 03, 2018
Matthias Rottmann, Karsten Kahl, Hanno Gottschalk


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