Mark Schutera

According to our database, Mark Schutera authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems.

Mark Schutera

PhD thesis, 2023

Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment.

Hendrik Vogt, Stefan Buehler, Mark Schutera

CoRR, 2023

2022

Automated Annotator Variability Inspection for Biomedical Image Segmentation.

Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl

IEEE Access, 2022

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency.

Frank M. Hafner, Matthias Zeller, Mark Schutera, Jochen Abhau, Julian F. P. Kooij

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night.

Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl

IEEE Trans. Intell. Veh., 2021

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting.

Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl

Image Vis. Comput., 2021

Optimizing test-set diversity: Trajectory clustering for scenario-based testing of automated driving systems.

Johannes Bernhard, Mark Schutera, Eric Sax

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Adaptive test case selection for DNN-based perception functions.

Johannes Bernhard, Thomas Schulik, Mark Schutera, Eric Sax

Proceedings of the IEEE International Symposium on Systems Engineering, 2021

2019

Strategies for supplementing recurrent neural network training for spatio-temporal prediction.

Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl

Autom., 2019

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification.

Mark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning.

Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl

CoRR, 2018

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic.

Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl

CoRR, 2018

Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic.

Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl

Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018