Frederik Diehl

17 papers A* 1A 1B 1C 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2019	C	`conf`	Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. IV Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
2019	J	`jnl`	Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving. CoRR Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
2019	J	`jnl`	Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks. CoRR Thomas Brunner, Frederik Diehl, Alois C. Knoll
2019	J	`jnl`	Edge Contraction Pooling for Graph Neural Networks. CoRR Frederik Diehl
2019	C	`conf`	Graph Neural Networks for Modelling Traffic Participant Interaction. IV Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll
2019	J	`jnl`	Graph Neural Networks for Modelling Traffic Participant Interaction. CoRR Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll
2019	A*	`conf`	Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. ICCV Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll
2019	—	`conf`	Leveraging Semantic Embeddings for Safety-Critical Applications. CVPR Workshops Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll
2019	J	`jnl`	Leveraging Semantic Embeddings for Safety-Critical Applications. CoRR Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll
2019	—	`conf`	Tree Memory Networks for Sequence Processing. ICANN (1) Frederik Diehl, Alois C. Knoll
2018	J	`jnl`	Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks. CoRR Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll
2018	A	`conf`	Neural networks for safety-critical applications - Challenges, experiments and perspectives. DATE Chih-Hong Cheng, Frederik Diehl, Gereon Hinz, Yassine Hamza, Georg Nührenberg, Markus Rickert, Harald Ruess, Michael Truong-Le
2018	—	`conf`	Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications. ITSC Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll
2017	B	`conf`	Deep neural networks for Markovian interactive scene prediction in highway scenarios. Intelligent Vehicles Symposium David Lenz, Frederik Diehl, Michael Truong-Le, Alois C. Knoll
2017	J	`jnl`	Neural Networks for Safety-Critical Applications - Challenges, Experiments and Perspectives. CoRR Chih-Hong Cheng, Frederik Diehl, Yassine Hamza, Gereon Hinz, Georg Nührenberg, Markus Rickert, Harald Ruess, Michael Truong-Le
2016	J	`jnl`	ML-based tactile sensor calibration: A universal approach. CoRR Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
2015	J	`jnl`	apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters. CoRR Frederik Diehl, Andreas Jauch