Markus Ulrich

Orcid: 0000-0001-8457-5554

According to our database1, Markus Ulrich authored at least 32 papers between 2003 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty-Aware Hand-Eye Calibration.
IEEE Trans. Robotics, 2024

Decoupling of neural network calibration measures.
CoRR, 2024

Evaluation of Multi-task Uncertainties in Joint Semantic Segmentation and Monocular Depth Estimation.
CoRR, 2024

Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications.
CoRR, 2024

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation.
CoRR, 2024

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation.
CoRR, 2024

2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation.
CoRR, 2023

Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning.
CoRR, 2023

Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping.
CoRR, 2023

DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation.
CoRR, 2023

Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Automatic Real-Time Pose Estimation of Machinery from Images.
Sensors, 2022

A Multi-view Camera Model for Line-Scan Cameras with Telecentric Lenses.
J. Math. Imaging Vis., 2022

Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space.
CoRR, 2022

Implementing machine learning: chances and challenges.
Autom., 2022

2021
A Camera Model for Line-Scan Cameras with Telecentric Lenses.
Int. J. Comput. Vis., 2021

Generic Hand-Eye Calibration of Uncertain Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Artificial intelligence with neural networks in optical measurement and inspection systems.
Autom., 2020

2019
A camera model for cameras with hypercentric lenses and some example applications.
Mach. Vis. Appl., 2019

Review of Haptic and Computerized (Simulation) Games on Climate Change.
Proceedings of the Simulation Gaming Through Times and Disciplines, 2019

2018
MVTec D2S: Densely Segmented Supermarket Dataset.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Subpixel-Precise Tracking of Rigid Objects in Real-Time.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2013
The UCS-Model of Corporate Sustainability - Description, Development and Incorporation in the Simulation Game Napuro.
Proceedings of the Frontiers in Gaming Simulation, 2013

2012
Combining Scale-Space and Similarity-Based Aspect Graphs for Fast 3D Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

2010
Model globally, match locally: Efficient and robust 3D object recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
CAD-based recognition of 3D objects in monocular images.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
Recognition and Tracking of 3D Objects.
Proceedings of the Pattern Recognition, 2008

2006
Tropical - parameter estimation and simulation of reaction-diffusion models based on spatio-temporal microscopy images.
Bioinform., 2006

2003
Hierarchical real-time recognition of compound objects in images.
PhD thesis, 2003

Real-time object recognition using a modified generalized Hough transform.
Pattern Recognit., 2003


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