Andreas Bär
Orcid: 0000-0003-3962-8914
According to our database1,
Andreas Bär
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
2023
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 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
CoRR, 2021
Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 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
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation.
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
2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.
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
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019