Peter Schlicht

47 papers A 2B 4C 4Journal 22Unranked 15

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