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What should AI see? Using the Public's Opinion to Determine the Perception of an AI


Jun 09, 2022
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk

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* 26 pages, 12 figures 

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Tailored Uncertainty Estimation for Deep Learning Systems


Apr 29, 2022
Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* Proc. of CVPR - Workshops 

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