Introducing Noise in Decentralized Training of Neural Networks. - Linara Adilova; Nathalie Paul; Peter Schlicht (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

Efficient Decentralized Deep Learning by Dynamic Model Averaging. - Michael Kamp; Linara Adilova; Joachim Sicking; Fabian Hüger; Peter Schlicht; Tim Wirtz; Stefan Wrobel (ECML/PKDD (1), 2018)

Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. - Matthias Rottmann; Pascal Colling; Thomas-Paul Hack; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (CoRR, 2018)

The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. - Felix Assion; Peter Schlicht; Florens Greßner; Wiebke Günther; Fabian Hüger; Nico M. Schmidt; Umair Rasheed (CVPR Workshops, 2019)

On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. - Andreas Bär; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2019)

Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. - Jan-Aike Bolte; Markus Kamp; Antonia Breuer; Silviu Homoceanu; Peter Schlicht; Fabian Hüger; Daniel Lipinski; Tim Fingscheidt (CVPR Workshops, 2019)

The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. - Robin Chan; Matthias Rottmann; Radin Dardashti; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (CVPR Workshops, 2019)

On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IV, 2019)

Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. - Robin Chan; Matthias Rottmann; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (CoRR, 2019)

GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CoRR, 2019)

MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. - Robin Chan; Matthias Rottmann; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (CoRR, 2019)

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. - Nikhil Kapoor; Chun Yuan; Jonas Löhdefink; Roland Zimmermann 002; Serin Varghese; Fabian Hüger; Nico M. Schmidt; Peter Schlicht; Tim Fingscheidt (CSCS, 2020)

Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. - Andreas Bär; Marvin Klingner; Serin Varghese; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2020)

Self-Supervised Domain Mismatch Estimation for Autonomous Perception. - Jonas Löhdefink; Justin Fehrling; Marvin Klingner; Fabian Hüger; Peter Schlicht; Nico M. Schmidt; Tim Fingscheidt (CVPR Workshops, 2020)

Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. - Svetlana Pavlitskaya; Christian Hubschneider; Michael Weber 009; Ruby Moritz; Fabian Hüger; Peter Schlicht; J. Marius Zöllner (CVPR Workshops, 2020)

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. - Serin Varghese; Yasin Bayzidi; Andreas Bär; Nikhil Kapoor; Sounak Lahiri; Jan David Schneider; Nico M. Schmidt; Peter Schlicht; Fabian Hüger; Tim Fingscheidt (CVPR Workshops, 2020)

Making the Relationship between Uncertainty Estimation and Safety Less Uncertain. - Vincent Aravantinos; Peter Schlicht (DATE, 2020)

Detection of False Positive and False Negative Samples in Semantic Segmentation. - Matthias Rottmann; Kira Maag; Robin Chan; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (DATE, 2020)

Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. - Robin Chan; Matthias Rottmann; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (IJCNN, 2020)

Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. - Matthias Rottmann; Pascal Colling; Thomas-Paul Hack; Robin Chan; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (IJCNN, 2020)

Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. - Jonas Löhdefink; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (ITSC, 2020)

Focussing Learned Image Compression to Semantic Classes for V2X Applications. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IV, 2020)

Quality Assurance for Machine Learning - an approach to function and system safeguarding. - Alexander Poth; Burkhard Meyer; Peter Schlicht; Andreas Riel (QRS, 2020)

Strategy to Increase the Safety of a DNN-based Perception for HAD Systems. - Timo Sämann; Peter Schlicht; Fabian Hüger (CoRR, 2020)

Risk Assessment for Machine Learning Models. - Paul Schwerdtner; Florens Greßner; Nikhil Kapoor; Felix Assion; René Sass; Wiebke Günther; Fabian Hüger; Peter Schlicht (CoRR, 2020)

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. - Kira Maag; Matthias Rottmann; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (CoRR, 2020)

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. - Serin Varghese; Sharat Gujamagadi; Marvin Klingner; Nikhil Kapoor; Andreas Bär; Jan David Schneider; Kira Maag; Peter Schlicht; Fabian Hüger; Tim Fingscheidt (CVPR Workshops, 2021)

From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. - Nikhil Kapoor; Andreas Bär; Serin Varghese; Jan David Schneider; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IJCNN, 2021)

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. - Kira Maag; Matthias Rottmann; Serin Varghese; Fabian Hüger; Peter Schlicht; Hanno Gottschalk (IJCNN, 2021)

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. - 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 (IV Workshops, 2021)

Approaching Neural Network Uncertainty Realism. - Joachim Sicking; Alexander Kister; Matthias Fahrland; Stefan Eickeler; Fabian Hüger; Stefan Rüping 001; Peter Schlicht; Tim Wirtz (CoRR, 2021)

The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. - Andreas Bär; Jonas Löhdefink; Nikhil Kapoor; Serin Varghese; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IEEE Signal Process. Mag., 2021)

Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. - Andreas Bär; Marvin Klingner; Jonas Löhdefink; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2022)

Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study. - Yasin Bayzidi; Alen Smajic; Fabian Hüger; Ruby Moritz; Serin Varghese; Peter Schlicht; Alois C. Knoll (IV, 2022)

Tailored Uncertainty Estimation for Deep Learning Systems. - Joachim Sicking; Maram Akila; Jan David Schneider; Fabian Hüger; Peter Schlicht; Tim Wirtz; Stefan Wrobel (CoRR, 2022)

What should AI see? Using the public's opinion to determine the perception of an AI. - Robin Chan; Radin Dardashti; Meike Osinski; Matthias Rottmann; Dominik Brüggemann; Cilia Rücker; Peter Schlicht; Fabian Hüger; Nikol Rummel; Hanno Gottschalk (AI Ethics, 2023)