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ORCIDJonas Löhdefink
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2020 – today
- 2022
[c9]Jonas Löhdefink, Jonas Sitzmann, Andreas Bär
, Tim Fingscheidt:
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. CVPR Workshops 2022: 1731-1736- [c8]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 - [c7]Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt:
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. ECCV Workshops (1) 2022: 633-645 - [i7]Jonas Löhdefink, Tim Fingscheidt:
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. CoRR abs/2201.06415 (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) - [c6]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV 2021: 644-651 - [i6]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) - [i5]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR abs/2103.03678 (2021) - [i4]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
- [c5]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CSCS 2020: 3:1-3:8 - [c4]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops 2020: 1359-1368 - [c3]Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. ITSC 2020: 1-8 - [c2]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 - [i3]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR abs/2006.08613 (2020) - [i2]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CoRR abs/2012.01386 (2020)
2010 – 2019
- 2019
- [c1]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 - [i1]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)
Coauthor Index
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