Markus Hillemann

According to our database, Markus Hillemann authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

EMUFormer: Efficient Multi-task Uncertainties for Reliable Joint Semantic Segmentation and Monocular Depth Estimation.

Steven Landgraf, Markus Hillemann, Theodor Kapler, Markus Ulrich

Int. J. Comput. Vis., April, 2026

2025

FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction.

Miriam Jäger, Markus Hillemann, Boris Jutzi

CoRR, January, 2025

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness.

Steven Landgraf, Markus Hillemann, Markus Ulrich

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

2024

Uncertainty-Aware Hand-Eye Calibration.

Markus Ulrich, Markus Hillemann

IEEE Trans. Robotics, 2024

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

Steven Landgraf, Markus Hillemann, Theodor Kapler, Markus Ulrich

CoRR, 2024

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

Markus Hillemann, Robert Langendörfer, Max Heiken, Max Mehltretter, Andreas Schenk, Martin Weinmann, Stefan Hinz, Christian Heipke, Markus Ulrich

CoRR, 2024

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

Miriam Jäger, Theodor Kapler, Michael Feßenbecker, Felix Birkelbach, Markus Hillemann, Boris Jutzi

CoRR, 2024

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

Kira Wursthorn, Markus Hillemann, Markus Ulrich

CoRR, 2024

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

Steven Landgraf, Markus Hillemann, Theodor Kapler, Markus Ulrich

Proceedings of the Pattern Recognition, 2024

2023

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

Steven Landgraf, Markus Hillemann, Kira Wursthorn, Markus Ulrich

CoRR, 2023

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

Steven Landgraf, Markus Hillemann, Moritz Aberle, Valentin Jung, Markus Ulrich

CoRR, 2023

DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation.

Steven Landgraf, Kira Wursthorn, Markus Hillemann, Markus Ulrich

CoRR, 2023

Semantic Mapping and Autonomous Navigation for Agile Production System.

Benchun Zhou, Jan-Felix Klein, Bo Wang, Markus Hillemann

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2021

Generic Hand-Eye Calibration of Uncertain Robots.

Markus Ulrich, Markus Hillemann

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.

Markus Hillemann, Martin Weinmann, Markus S. Mueller, Boris Jutzi

Remote. Sens., 2019