57 citations · 57 across the 1 of their papers we have counts for
4 papers
CNNs on Surfaces using Rotation-Equivariant Features
Ruben Wiersma, Elmar Eisemann, Klaus Hildebrandt
This paper is concerned with a fundamental problem in geometric deep learning that arises in the construction of convolutional neural networks on surfaces. Due to curvature, the tr…
How to Manipulate CNNs to Make Them Lie: the GradCAM Case
Tom Viering, Ziqi Wang, Marco Loog +1
Recently many methods have been introduced to explain CNN decisions. However, it has been shown that some methods can be sensitive to manipulation of the input. We continue this li…
Geometric Sample Reweighting for Monte Carlo Integration
Jerry Jinfeng Guo, Elmar Eisemann
We present a general sample reweighting scheme and its underlying theory for the integration of an unknown function with low dimensionality. Our method produces better results than…
LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization
Andreas Walch, Michael Schwärzler, Christian Luksch +2
LightGuider is a novel guidance-based approach to interactive lighting design, which typically consists of interleaved 3D modeling operations and light transport simulations. Rathe…