Mark Schutera
Orcid: 0000-0003-4857-7274
According to our database1,
Mark Schutera
authored at least 14 papers
between 2018 and 2024.
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Bibliography
2024
Defensive Perception: Estimation and Monitoring of Neural Network Performance Under Deployment.
Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024
2023
A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems.
PhD thesis, 2023
2022
IEEE Access, 2022
BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency.
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.
IEEE Trans. Intell. Veh., 2021
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting.
Image Vis. Comput., 2021
Optimizing test-set diversity: Trajectory clustering for scenario-based testing of automated driving systems.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the IEEE International Symposium on Systems Engineering, 2021
2019
Strategies for supplementing recurrent neural network training for spatio-temporal prediction.
Autom., 2019
Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification.
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.
CoRR, 2018
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic.
CoRR, 2018
Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic.
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018