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)

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. - Nikhil Kapoor; Chun Yuan; Jonas Löhdefink; Roland Zimmermann 002; Serin Varghese; Fabian Hüger; Nico M. Schmidt; Peter Schlicht; Tim Fingscheidt (CSCS, 2020)

Self-Supervised Domain Mismatch Estimation for Autonomous Perception. - Jonas Löhdefink; Justin Fehrling; Marvin Klingner; Fabian Hüger; Peter Schlicht; Nico M. Schmidt; Tim Fingscheidt (CVPR Workshops, 2020)

Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. - Jonas Löhdefink; Fabian Hüger; Peter Schlicht; 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)

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. - Florian Heidecker; Jasmin Breitenstein; Kevin Rösch; Jonas Löhdefink; Maarten Bieshaar; Christoph Stiller; Tim Fingscheidt; Bernhard Sick (IV, 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)

Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. - Jasmin Breitenstein; Jonas Löhdefink; Tim Fingscheidt (ECCV Workshops (1), 2022)

Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. - Jonas Löhdefink; Tim Fingscheidt (CoRR, 2022)