Jan David Schneider

According to our database, Jan David Schneider authored at least 10 papers between 2020 and 2022.

Collaborative distances:

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

2022

Tailored Uncertainty Estimation for Deep Learning Systems.

Joachim Sicking, Maram Akila, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

CoRR, 2022

Performance Limiting Factors of Deep Neural Networks for Pedestrian Detection.

Yasin Bayzidi, Alen Smajic, Jan David Schneider, Fabian Hüger, Ruby Moritz, Alois C. Knoll

Proceedings of the 33rd British Machine Vision Conference 2022, 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

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis.

Julia Rosenzweig, Eduardo Brito, Hans-Ulrich Kobialka, Maram Akila, Nico M. Schmidt, Peter Schlicht, Jan David Schneider, Fabian Hüger, Matthias Rottmann, Sebastian Houben, Tim Wirtz

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation.

Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Proceedings of the International Joint Conference on Neural Networks, 2021

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks.

Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt

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

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation.

Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hüger, Tim Wirtz

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

2020

Towards Map-Based Validation of Semantic Segmentation Masks.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Christian Bauckhage

CoRR, 2020

Street-Map Based Validation of Semantic Segmentation in Autonomous Driving.

Laura von Rüden, Tim Wirtz, Fabian Hüger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving.

Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt

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