Jan Kronenberger

According to our database, Jan Kronenberger authored at least 9 papers between 2017 and 2022.

Collaborative distances:

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

2022

Confidence Calibration for Object Detection and Segmentation.

Fabian Küppers, Anselm Haselhoff, Jan Kronenberger, Jonas Schneider

CoRR, 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

Towards Transparent Behavior of Automated Vehicles: Design and Evaluation of HUD Concepts to Support System Predictability Through Motion Intent Communication.

Henrik Detjen, Maurizio Salini, Jan Kronenberger, Stefan Geisler, Stefan Schneegass

Proceedings of the MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction, Toulouse & Virtual Event, France, 27 September 2021, 2021

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling.

Fabian Küppers, Jan Kronenberger, Jonas Schneider, Anselm Haselhoff

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation.

Anselm Haselhoff, Jan Kronenberger, Fabian Küppers, Jonas Schneider

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

2020

Dependency Decomposition and a Reject Option for Explainable Models.

Jan Kronenberger, Anselm Haselhoff

CoRR, 2020

Multivariate Confidence Calibration for Object Detection.

Fabian Küppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?

Jan Kronenberger, Anselm Haselhoff

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Text and character recognition on metal-sheets.

Jan Kronenberger, Darius Malysiak, Uwe Handmann

Proceedings of the IEEE International Conference on Information and Automation, 2017