Vivien Zahs

Orcid: 0000-0001-8200-1661

According to our database1, Vivien Zahs authored at least 11 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code].
Dataset, May, 2026

Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code].
Dataset, April, 2026

3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard.
Dataset, April, 2026

py4dgeo: Open-source scientific software for topographic change analysis in 3D/4D geographic point clouds.
SoftwareX, 2026

2023
Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code].
Dataset, July, 2023

3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard.
Dataset, May, 2023

2022
3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard.
Dataset, July, 2022

3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard.
Dataset, July, 2022

2021
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code].
Dataset, June, 2021

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code].
Dataset, June, 2021


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