Frederik Diehl

According to our database, Frederik Diehl authored at least 12 papers between 2015 and 2019.

Collaborative distances:

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

2019

Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks.

Thomas Brunner, Frederik Diehl, Alois C. Knoll

CoRR, 2019

Edge Contraction Pooling for Graph Neural Networks.

Frederik Diehl

CoRR, 2019

Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving.

Tobias Kessler, Julian Bernhard, Martin Buechel, Klemens Esterle, Patrick Hart, Daniel Malovetz, Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Graph Neural Networks for Modelling Traffic Participant Interaction.

Frederik Diehl, Thomas Brunner, Michael Truong-Le, Alois C. Knoll

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks.

Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Tree Memory Networks for Sequence Processing.

Frederik Diehl, Alois C. Knoll

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Leveraging Semantic Embeddings for Safety-Critical Applications.

Thomas Brunner, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications.

Michael Truong-Le, Frederik Diehl, Thomas Brunner, Alois C. Knoll

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Neural networks for safety-critical applications - Challenges, experiments and perspectives.

Chih-Hong Cheng, Frederik Diehl, Gereon Hinz, Yassine Hamza, Georg Nührenberg, Markus Rickert, Harald Ruess, Michael Truong-Le

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Deep neural networks for Markovian interactive scene prediction in highway scenarios.

David Lenz, Frederik Diehl, Michael Truong-Le, Alois C. Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016

ML-based tactile sensor calibration: A universal approach.

Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt

CoRR, 2016

2015

apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters.

Frederik Diehl, Andreas Jauch

CoRR, 2015