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Author

M. Ulrich

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Review Open access Aug 2026

Recent Advances in Image-Based 3D Reconstruction: a Photogrammetric Perspective on Conventional and Learning-Based Techniques

This work aims to guide future research toward robust, accurate, and certifiable 3D reconstruction systems suitable for engineering, industrial, and geospatial applications, by bridging the gap between classical photogrammetry and data-driven 3D vision.

Xin Wang, Tengfei Wang, M. Hillemann et al. · 0 citations
#artificial intelligence Open access Jul 2026

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

Improvements show that CutMix has only a minor impact on segmentation accuracy but consistently improves the reliability, particularly under distribution shifts, indicating that CutMix primarily enhances the trustworthiness of the model’s calibration and uncertainty rather than the raw segmentation prediction itself.

S. Landgraf, M. Ulrich · 0 citations
#artificial intelligence Open access Jul 2026

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

This is the first systematic evaluation of UQ methods applied to a foundation model for semantic segmentation and highlights both the promise and the current limitations of uncertainty-aware foundation models, pointing to the need for future work that jointly optimizes accuracy, robustness, and efficiency for real-world deployment.

S. Landgraf, Joceline Hinz, M. Ulrich · 0 citations

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