Steven Landgraf

According to our database, Steven Landgraf authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

An Evaluation of DUSt3R/MASt3R/VGGT 3D Reconstruction on Photogrammetric Aerial Blocks.

Xinyi Wu, Steven Landgraf, Markus Ulrich, Rongjun Qin

CoRR, July, 2025

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

Steven Landgraf, Markus Hillemann, Markus Ulrich

CoRR, June, 2025

A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation.

Steven Landgraf, Rongjun Qin, Markus Ulrich

CoRR, January, 2025

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

2024

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

Steven Landgraf, Markus Hillemann, Theodor Kapler, 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