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

Towards Corner Case Detection for Autonomous Driving. - Jan-Aike Bolte; Andreas Bär; Daniel Lipinski; Tim Fingscheidt (IV, 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)

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)

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)

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. - Marvin Klingner; Andreas Bär; Tim Fingscheidt (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)

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. - Marvin Klingner; Andreas Bär; Philipp Donn; 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)

Transferable Universal Adversarial Perturbations Using Generative Models. - Atiye Sadat Hashemi; Andreas Bär; Saeed Mozaffari; Tim Fingscheidt (CoRR, 2020)

Improving Online Performance Prediction for Semantic Segmentation. - Marvin Klingner; Andreas Bär; Marcel Mross; Tim Fingscheidt (CVPR Workshops, 2021)

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)

Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. - Jasmin Breitenstein; Andreas Bär; Daniel Lipinski; Tim Fingscheidt (IV Workshops, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Sebastian Houben; Stephanie Abrecht; Maram Akila; Andreas Bär; Felix Brockherde; Patrick Feifel; Tim Fingscheidt; Sujan Sai Gannamaneni; Seyed Eghbal Ghobadi; Ahmed Hammam; Anselm Haselhoff; Felix Hauser; et al. (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)

Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. - Jonas Löhdefink; Jonas Sitzmann; Andreas Bär; Tim Fingscheidt (CVPR Workshops, 2022)

Detecting Adversarial Perturbations in Multi-Task Perception. - Marvin Klingner; Varun Ravi Kumar; Senthil Kumar Yogamani; Andreas Bär; Tim Fingscheidt (IROS, 2022)

Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving. - Andreas Bär; Daniel Kusuma; Tim Fingscheidt (CVPR Workshops, 2023)

A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. - Andreas Bär; Jonas Uhrig; Jeethesh Pai Umesh; Marius Cordts; Tim Fingscheidt (CVPR Workshops, 2023)

Frozen Feature Augmentation for Few-Shot Image Classification. - Andreas Bär; Neil Houlsby; Mostafa Dehghani 001; Manoj Kumar (CVPR, 2024)

Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder. - Renzheng Shi; Andreas Bär; Marvin Sach; Wouter Tirry; Tim Fingscheidt (IWAENC, 2024)

Foundation Models for Amodal Video Instance Segmentation in Automated Driving. - Jasmin Breitenstein; Franz Jünger; Andreas Bär; Tim Fingscheidt (CoRR, 2024)