27 citations · 35 across the 6 of their papers we have counts for
9 papers
The State of the Art in Visual Analytics for 3D Urban Data
Fabio Miranda, Thomas Ortner, Gustavo Moreira +6
Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholde…
Online Spatio-Temporal Learning with Target Projection
Thomas Ortner, Lorenzo Pes, Joris Gentinetta +2
Recurrent neural networks trained with the backpropagation through time (BPTT) algorithm have led to astounding successes in various temporal tasks. However, BPTT introduces severe…
Feature-assisted interactive geometry reconstruction in 3D point clouds using incremental region growing
Attila Szabo, Georg Haaser, Harald Steinlechner +4
Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art work…
InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis
Thomas Ortner, Andreas Walch, Rebecca Nowak +3
Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rove…
Clustering of imbalanced high-dimensional media data
Sarka Brodinova, Maia Zaharieva, Peter Filzmoser +2
Media content in large repositories usually exhibits multiple groups of strongly varying sizes. Media of potential interest often form notably smaller groups. Such media groups dif…
Robust and sparse k-means clustering for high-dimensional data
Sarka Brodinova, Peter Filzmoser, Thomas Ortner +2
In real-world application scenarios, the identification of groups poses a significant challenge due to possibly occurring outliers and existing noise variables. Therefore, there is…