Patrick Müller

Orcid: 0009-0007-9585-6723

Affiliations:
  • University of Siegen, Germany
  • Hochschule Düsseldorf, University of Applied Sciences, Department of Electrical Engineering, Germany


According to our database1, Patrick Müller authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025
Impact of Visual Range Optical Blur Aberrations on Deep Learning based Models for Image Classification and Object Detection.
PhD thesis, 2025

2024
Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions.
Trans. Mach. Learn. Res., 2024

Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection.
IEEE Access, 2024

2023
Classification robustness to common optical aberrations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MTF as a performance indicator for AI algorithms?
Proceedings of the Autonomous Vehicles and Machines 2023, 2023

2022
Simulating optical properties to access novel metrological parameter ranges and the impact of different model approximations.
Proceedings of the IEEE International Workshop on Metrology for Automotive, 2022

Original image noise reconstruction for spatially-varying filtered driving scenes.
Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Spatial precision and recall indices to assess the performance of instance segmentation algorithms.
Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

2021
Spatial recall index for machine learning algorithms.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021

Impact of Windshield Optical Aberrations on Visual Range Camera Based Classification Tasks Performed by CNNs.
Proceedings of the London Imaging Meeting 2021: Imaging for Deep Learning, 2021

2020
Simulating tests to test simulation.
Proceedings of the Autonomous Vehicles and Machines 2020, 2020


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