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Patrick Feifel
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2020 – today
- 2023
- [c5]Patrick Feifel, Frank Bonarens, Frank Köster:
Domain Adaptive Pedestrian Detection Based on Semantic Concepts. VISIGRAPP (5: VISAPP) 2023: 652-659 - 2022
- [c4]Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke:
Using ontologies for dataset engineering in automotive AI applications. DATE 2022: 526-531 - [c3]Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster:
Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. AISafety@IJCAI 2022 - 2021
- [c2]Patrick Feifel, Frank Bonarens, Frank Köster:
Leveraging Interpretability: Concept-based Pedestrian Detection with Deep Neural Networks. CSCS 2021: 2:1-2:10 - [c1]Patrick Feifel, Frank Bonarens, Frank Köster:
Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection. CVPR Workshops 2021: 29-37 - [i1]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)
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