204 citations · 609 across the 30 of their papers we have counts for
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Inviwo -- A Visualization System with Usage Abstraction Levels
Daniel Jönsson, Peter Steneteg, Erik Sundén +6
The complexity of today's visualization applications demands specific visualization systems tailored for the development of these applications. Frequently, such systems utilize lev…
Deep-learning the Latent Space of Light Transport
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel +1
We suggest a method to directly deep-learn light transport, i. e., the mapping from a 3D geometry-illumination-material configuration to a shaded 2D image. While many previous lear…
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Alex Bäuerle, Heiko Neumann, Timo Ropinski
Training data plays an essential role in modern applications of machine learning. However, gathering labeled training data is time-consuming. Therefore, labeling is often outsource…
Void Space Surfaces to Convey Depth in Vessel Visualizations
Julian Kreiser, Pedro Hermosilla, Timo Ropinski
To enhance depth perception and thus data comprehension, additional depth cues are often used in 3D visualizations of complex vascular structures. Accordingly, there is a variety o…
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez +2
Deep learning systems extensively use convolution operations to process input data. Though convolution is clearly defined for structured data such as 2D images or 3D volumes, this…