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Disambiguation of "Bär, Andreas"

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

, , , , , , and . IEEE Signal Process. Mag., 38 (1): 42-52 (2021)

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Andreas Bär

Nicolaus Andreas Bär

Susanne Bär

Elektrophysiologische Eigenschaften von primären Afferenzen und Wirkungen des Neuropeptids Calcitonin Gene-Related Peptide im Halbschädelpräparat der Ratte. Uni Gießen, (2009)

Marion Bär

Marcus Bär

 

Other publications of authors with the same name

The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing., , , , , , and . IEEE Signal Process. Mag., 38 (1): 42-52 (2021)Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure., , , and . IV Workshops, page 90-97. IEEE, (2021)Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder., , , , , and . CVPR Workshops, page 4398-4407. IEEE, (2022)Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving., , , , , , , , , and . CVPR Workshops, page 1369-1378. Computer Vision Foundation / IEEE, (2020)From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation., , , , , , and . IJCNN, page 1-8. IEEE, (2021)On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , and . IV, page 424-431. IEEE, (2019)GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , and . CoRR, (2019)Transferable Universal Adversarial Perturbations Using Generative Models., , , and . CoRR, (2020)On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation., , , and . CVPR Workshops, page 1380-1388. Computer Vision Foundation / IEEE, (2019)A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection., , , , and . CVPR Workshops, page 3851-3860. IEEE, (2023)