DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation. - Steven Landgraf; Kira Wursthorn; Markus Hillemann; 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)

U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation. - Steven Landgraf; Markus Hillemann; Kira Wursthorn; Markus Ulrich (CoRR, 2023)

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation. - Steven Landgraf; Markus Hillemann; Theodor Kapler; Markus Ulrich (GCPR (2), 2024)

Evaluation of Multi-task Uncertainties in Joint Semantic Segmentation and Monocular Depth Estimation. - Steven Landgraf; Markus Hillemann; Theodor Kapler; Markus Ulrich (CoRR, 2024)

Density uncertainty quantification with NeRF-Ensembles: Impact of data and scene constraints. - Miriam Jäger; Steven Landgraf; Boris Jutzi (Int. J. Appl. Earth Obs. Geoinformation, 2025)

A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation. - Steven Landgraf; Rongjun Qin; Markus Ulrich (CoRR, 2025)

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness. - Steven Landgraf; Markus Hillemann; Markus Ulrich (CoRR, 2025)

An Evaluation of DUSt3R/MASt3R/VGGT 3D Reconstruction on Photogrammetric Aerial Blocks. - Xinyi Wu; Steven Landgraf; Markus Ulrich; Rongjun Qin (CoRR, 2025)