Markus Hillemann

Orcid: 0000-0002-8906-0450

According to our database1, Markus Hillemann authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

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

HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2.
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

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

Semantic Mapping and Autonomous Navigation for Agile Production System.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

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

2019
Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features.
Remote. Sens., 2019


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