Frank Bonarens

14 papers A 1B 1Journal 3Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Revisiting Evaluation of Deep Neural Networks for Pedestrian Detection. CoRR Patrick Feifel, Benedikt Franke, Frank Bonarens, Frank Köster, Arne P. Raulf, Friedhelm Schwenker
2023	—	`conf`	Domain Adaptive Pedestrian Detection Based on Semantic Concepts. VISIGRAPP (5: VISAPP) Patrick Feifel, Frank Bonarens, Frank Köster
2023	—	`conf`	Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks. ICCV (Workshops) Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller
2022	—	`conf`	Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions. CSCS Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller
2022	—	`conf`	Revisiting the Evaluation of Deep Neural Networks for Pedestrian Detection. AISafety@IJCAI Patrick Feifel, Benedikt Franke, Arne P. Raulf, Friedhelm Schwenker, Frank Bonarens, Frank Köster
2022	—	`conf`	Towards Improved Intermediate Layer Variational Inference for Uncertainty Estimation. ECCV Workshops (5) Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller
2022	A	`conf`	Using ontologies for dataset engineering in automotive AI applications. DATE Martin Herrmann, Christian Witt, Laureen Lake, Stefani Guneshka, Christian Heinzemann, Frank Bonarens, Patrick Feifel, Simon Funke
2021	—	`conf`	Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. ICCVW Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller
2021	J	`jnl`	Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. CoRR Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller
2021	—	`conf`	Leveraging Interpretability: Concept-based Pedestrian Detection with Deep Neural Networks. CSCS Patrick Feifel, Frank Bonarens, Frank Köster
2021	—	`conf`	Real-time Uncertainty Estimation Based On Intermediate Layer Variational Inference. CSCS Ahmed Hammam, Seyed Eghbal Ghobadi, Frank Bonarens, Christoph Stiller
2021	—	`conf`	Reevaluating the Safety Impact of Inherent Interpretability on Deep Neural Networks for Pedestrian Detection. CVPR Workshops Patrick Feifel, Frank Bonarens, Frank Köster
2019	J	`jnl`	Model Predictive Trajectory Planning for Automated Driving. IEEE Trans. Intell. Veh. Boliang Yi, Philipp Bender, Frank Bonarens, Christoph Stiller
2016	B	`conf`	Real time integrated vehicle dynamics control and trajectory planning with MPC for critical maneuvers. Intelligent Vehicles Symposium Boliang Yi, Stefan Gottschling, Jens Ferdinand, Norbert Simm, Frank Bonarens, Christoph Stiller