Peter Schlicht

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 47

Top Topics

Semantic Segmentation

Top Venues

Publications

Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the public's opinion to determine the perception of an AI. AI Ethics 3 (4) (2023)
Yasin Bayzidi, Alen Smajic, Fabian Hüger, Ruby Moritz, Serin Varghese, Peter Schlicht, Alois C. Knoll
Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study. IV (2022)
Andreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. CVPR Workshops (2022)
Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Tailored Uncertainty Estimation for Deep Learning Systems. CoRR (2022)
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the Public's Opinion to Determine the Perception of an AI. CoRR (2022)
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
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. CoRR (2021)
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. CoRR (2021)
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. IEEE Signal Process. Mag. 38 (1) (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
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. IV Workshops (2021)
Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops (2021)
Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. IJCNN (2021)
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. IJCNN (2021)
Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hüger, Stefan Rüping, Peter Schlicht, Tim Wirtz
Approaching Neural Network Uncertainty Realism. CoRR (2021)
Kira Maag, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates. CoRR (2020)
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR (2020)
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CoRR (2020)
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Focussing Learned Image Compression to Semantic Classes for V2X Applications. IV (2020)
Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. CVPR Workshops (2020)
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht
Risk Assessment for Machine Learning Models. CoRR (2020)
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops (2020)
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN (2020)
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. CoRR (2020)
Svetlana Pavlitskaya, Christian Hubschneider, Michael Weber, Ruby Moritz, Fabian Hüger, Peter Schlicht, J. Marius Zöllner
Using Mixture of Expert Models to Gain Insights into Semantic Segmentation. CVPR Workshops (2020)
Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. CVPR Workshops (2020)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. IJCNN (2020)
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CSCS (2020)
Vincent Aravantinos, Peter Schlicht
Making the Relationship between Uncertainty Estimation and Safety Less Uncertain. DATE (2020)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE (2020)
Timo Sämann, Peter Schlicht, Fabian Hüger
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems. CoRR (2020)
Alexander Poth, Burkhard Meyer, Peter Schlicht, Andreas Riel
Quality Assurance for Machine Learning - an approach to function and system safeguarding. QRS (2020)
Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. ITSC (2020)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. CVPR Workshops (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. CoRR (2019)
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. CoRR (2019)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. CoRR (2019)
Andreas Bär, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. CVPR Workshops (2019)
Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CVPR Workshops (2019)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR (2019)
Felix Assion, Peter Schlicht, Florens Greßner, Wiebke Günther, Fabian Hüger, Nico M. Schmidt, Umair Rasheed
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks. CoRR (2019)
Jan-Aike Bolte, Markus Kamp, Antonia Breuer, Silviu Homoceanu, Peter Schlicht, Fabian Hüger, Daniel Lipinski, Tim Fingscheidt
Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. CVPR Workshops (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. CoRR (2019)
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. IV (2019)
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing Noise in Decentralized Training of Neural Networks. CoRR (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. CoRR (2018)
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. CoRR (2018)
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing Noise in Decentralized Training of Neural Networks. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient Decentralized Deep Learning by Dynamic Model Averaging. ECML/PKDD (1) (2018)