Serin Varghese

From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation pdf

Peter Schlicht, Fabian Hüger, Andreas Bär, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety

Sebastian J. Wirkert, S. E. Ghobadi, Sujan Sai Gannamaneni, 2021, ArXiv.

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving

Peter Schlicht, Fabian Hüger, Andreas Bär, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

An Unsupervised Temporal Consistency (TC) Loss to Improve the Performance of Semantic Segmentation Networks

Tim Fingscheidt, Peter Schlicht, Fabian Hüger, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study

Ruby L. V. Moritz, Peter Schlicht, Fabian Hüger, 2022, 2022 IEEE Intelligent Vehicles Symposium (IV).

Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote

Peter Schlicht, Fabian Hüger, Andreas Bär, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing

Peter Schlicht, Tim Fingscheidt, Andreas Bar, 2021, IEEE Signal Processing Magazine.

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs

Chun Yuan, Peter Schlicht, Roland Zimmermann, 2020, CSCS.