112 citations · 411 across the 40 of their papers we have counts for
6 papers · 1 filter
Connected Components on Lie Groups and Applications to Multi-Orientation Image Analysis
Nicky J. van den Berg, Olga Mula, Leanne Vis +1
We develop and analyze a new algorithm to find the connected components of a compact set from a Lie group endowed with a left-invariant Riemannian distance. For a given $δ>…
Semiring Activation in Neural Networks
Bart M. N. Smets, Peter D. Donker, Jim W. Portegies
We introduce a class of trainable nonlinear operators based on semirings that are suitable for use in neural networks. These operators generalize the traditional alternation of lin…
Segmentation tool for images of cracks
Andrii Kompanets, Remco Duits, Davide Leonetti +3
Safety-critical infrastructures, such as bridges, are periodically inspected to check for existing damage, such as fatigue cracks and corrosion, and to guarantee the safe use of th…
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
Andrii Kompanets, Gautam Pai, Remco Duits +2
Automating the current bridge visual inspection practices using drones and image processing techniques is a prominent way to make these inspections more effective, robust, and less…
PDE-CNNs: Axiomatic Derivations and Applications
Gijs Bellaard, Sei Sakata, Bart M. N. Smets +1
PDE-based Group Convolutional Neural Networks (PDE-G-CNNs) use solvers of evolution PDEs as substitutes for the conventional components in G-CNNs. PDE-G-CNNs can offer several bene…
Optimal Transport on the Lie Group of Roto-translations
Daan Bon, Gautam Pai, Gijs Bellaard +2
The roto-translation group SE2 has been of active interest in image analysis due to methods that lift the image data to multi-orientation representations defined on this Lie group.…