Peter Schlicht
According to our database1,
Peter Schlicht
authored at least 36 papers
between 2018 and 2023.
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Bibliography
2023
AI Ethics, November, 2023
2022
Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing.
IEEE Signal Process. Mag., 2021
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates.
Proceedings of the International Joint Conference on Neural Networks, 2021
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates.
CoRR, 2020
CoRR, 2020
Quality Assurance for Machine Learning - an approach to function and system safeguarding.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020
2019
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation.
CoRR, 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.
CoRR, 2019
CoRR, 2019
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities.
CoRR, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018