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07/31/2023
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Quantum computers possess the potential to process data using a remarkab...
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07/17/2023
Riesz feature representation: scale equivariant scattering network for classification tasks
Scattering networks yield powerful and robust hierarchical image descrip...
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05/08/2023
Riesz networks: scale invariant neural networks in a single forward pass
Scale invariance of an algorithm refers to its ability to treat objects ...
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03/27/2023
An Analytical Representation of the 2d Generalized Balanced Power Diagram
Tessellations are an important tool to model the microstructure of cellu...
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03/23/2023
Improved Anisotropic Gaussian Filters
Elongated anisotropic Gaussian filters are used for the orientation esti...
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10/12/2022
Quantiles and depth for directional data from elliptically symmetric distributions
We present canonical quantiles and depths for directional data following...
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10/11/2022
Crack Modeling via Minimum-Weight Surfaces in 3d Voronoi Diagrams
Shortest paths play an important role in mathematical modeling and image...
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09/27/2022
Persistent homology based goodness-of-fit tests for spatial tessellations
Motivated by the rapidly increasing relevance of virtual material design...
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03/22/2022
A hybrid quantum image edge detector for the NISQ era
Edges are image locations where the gray value intensity changes suddenl...
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12/17/2021
Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images
Concrete is the standard construction material for buildings, bridges, a...
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10/29/2021
Improved FRQI on superconducting processors and its restrictions in the NISQ era
In image processing, the amount of data to be processed grows rapidly, i...
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09/27/2021
Wasserstein Patch Prior for Image Superresolution
In this paper, we introduce a Wasserstein patch prior for superresolutio...
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07/16/2019
Detecting anomalies in fibre systems using 3-dimensional image data
We consider the problem of detecting anomalies in the directional distri...
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10/29/2018
Application of Clustering Methods to Anomaly Detection in Fibrous Media
The paper considers the problem of anomaly detection in 3D images of fib...
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12/05/2017
