Vivien Zahs

According to our database, Vivien Zahs authored at least 13 papers between 2021 and 2023.

Collaborative distances:

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

2023

Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data.

Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle

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].

Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle

Dataset, July, 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].

Vivien Zahs, Katharina Anders, Julia Kohns, Alexander Stark, Bernhard Höfle

Dataset, July, 2023

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

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

Dataset, May, 2023

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

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

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.

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

Dataset, July, 2022

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

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

Dataset, July, 2022

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

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

Dataset, July, 2022

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

Maria Shinoto, Michael Doneus, Hideyuki Haijima, Hannah Weiser, Vivien Zahs, Dominic Kempf, Gwydion Daskalakis, Bernhard Höfle, Naoko Nakamura

Dataset, July, 2022

2021

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

Lukas Winiwarter, Katharina Anders, Vivien Zahs, Martin Hämmerle, Bernhard Höfle

Dataset, June, 2021

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

Lukas Winiwarter, Katharina Anders, Vivien Zahs, Martin Hämmerle, Bernhard Höfle

Dataset, June, 2021

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

Lukas Winiwarter, Katharina Anders, Vivien Zahs, Martin Hämmerle, Bernhard Höfle

Dataset, June, 2021

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

Lukas Winiwarter, Katharina Anders, Vivien Zahs, Martin Hämmerle, Bernhard Höfle

Dataset, June, 2021