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Andreas Bär
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2020 – today
- 2024
- [c19]Andreas Bär, Neil Houlsby, Mostafa Dehghani, Manoj Kumar:
Frozen Feature Augmentation for Few-Shot Image Classification. CVPR 2024: 16046-16057 - [c18]Renzheng Shi, Andreas Bär, Marvin Sach, Wouter Tirry, Tim Fingscheidt:
Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder. IWAENC 2024: 359-363 - [i12]Andreas Bär, Neil Houlsby, Mostafa Dehghani, Manoj Kumar:
Frozen Feature Augmentation for Few-Shot Image Classification. CoRR abs/2403.10519 (2024) - [i11]Jasmin Breitenstein, Franz Jünger, Andreas Bär, Tim Fingscheidt:
Foundation Models for Amodal Video Instance Segmentation in Automated Driving. CoRR abs/2409.14095 (2024) - 2023
- [c17]Andreas Bär, Daniel Kusuma, Tim Fingscheidt:
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving. CVPR Workshops 2023: 219-229 - [c16]Andreas Bär, Jonas Uhrig, Jeethesh Pai Umesh, Marius Cordts, Tim Fingscheidt:
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. CVPR Workshops 2023: 3851-3860 - 2022
- [c15]Jonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt:
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. CVPR Workshops 2022: 1731-1736 - [c14]Andreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. CVPR Workshops 2022: 4398-4407 - [c13]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. IROS 2022: 13050-13057 - [i10]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. CoRR abs/2203.01177 (2022) - 2021
- [j1]Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. IEEE Signal Process. Mag. 38(1): 42-52 (2021) - [c12]Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. CVPR Workshops 2021: 1-11 - [c11]Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops 2021: 12-20 - [c10]Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. IJCNN 2021: 1-8 - [c9]Jasmin Breitenstein, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. IV Workshops 2021: 90-97 - [i9]Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. CoRR abs/2101.03924 (2021) - [i8]Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. CoRR abs/2104.05255 (2021) - [i7]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, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - 2020
- [c8]Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CVPR Workshops 2020: 1299-1309 - [c7]Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. CVPR Workshops 2020: 1348-1358 - [c6]Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. CVPR Workshops 2020: 1369-1378 - [c5]Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. ITSC 2020: 1-8 - [c4]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Focussing Learned Image Compression to Semantic Classes for V2X Applications. IV 2020: 1641-1648 - [i6]Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CoRR abs/2004.11072 (2020) - [i5]Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. CoRR abs/2005.06050 (2020) - [i4]Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt:
Transferable Universal Adversarial Perturbations Using Generative Models. CoRR abs/2010.14919 (2020) - [i3]Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. CoRR abs/2012.01558 (2020)
2010 – 2019
- 2019
- [c3]Andreas Bär, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. CVPR Workshops 2019: 1380-1388 - [c2]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. IV 2019: 424-431 - [c1]Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. IV 2019: 438-445 - [i2]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. CoRR abs/1902.04311 (2019) - [i1]Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. CoRR abs/1902.09184 (2019)
Coauthor Index
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