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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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The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing


Jan 13, 2021
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

* IEEE Signal Processing Magazine (Volume: 38, Issue: 1, Jan. 2021), pp. 42 - 52 

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Approaching Neural Network Uncertainty Realism


Jan 08, 2021
Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz

* Accepted at the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving (ML4AD) 

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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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From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation


Dec 02, 2020
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt


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A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs


Dec 02, 2020
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico Schmidt, Peter Schlicht, Tim Fingscheidt

* Accepted at ACM CSCS 2020 (8 pages, 4 figures) 

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Risk Assessment for Machine Learning Models


Nov 09, 2020
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht

* 8 pages, 5 figures, conference workshop 

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Self-Supervised Domain Mismatch Estimation for Autonomous Perception


Jun 15, 2020
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt

* Proc. of CVPR - Workshops 

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Strategy to Increase the Safety of a DNN-based Perception for HAD Systems


Feb 20, 2020
Timo Sämann, Peter Schlicht, Fabian Hüger


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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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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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The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks


Jun 17, 2019
Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico Schmidt, Umair Rasheed

* CVPR SAIAD - Workshop 2019 

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GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation


Feb 12, 2019
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt


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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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Introducing Noise in Decentralized Training of Neural Networks


Sep 27, 2018
Linara Adilova, Nathalie Paul, Peter Schlicht

* ECML PKDD 2018, Workshop DMLE 
* 13 pages 

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Efficient Decentralized Deep Learning by Dynamic Model Averaging


Jul 09, 2018
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel


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