Patrick Feifel

According to our database, Patrick Feifel authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Domain Adaptive Pedestrian Detection Based on Semantic Concepts.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection.

Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

Using ontologies for dataset engineering in automotive AI applications.

Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

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

CoRR, 2021

Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Leveraging Interpretability: Concept-based Pedestrian Detection with Deep Neural Networks.

Patrick Feifel, Frank Bonarens, Frank Köster

Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021