45 citations · 68 across the 12 of their papers we have counts for
5 papers · 1 filter
MorphFlow: Estimating Motion in In Situ Tests of Concrete
Tessa Nogatz, Claudia Redenbach, Katja Schladitz
We present a novel algorithm explicitly tailored to estimate motion from time series of 3D images of concrete. Such volumetric images are usually acquired by Computed Tomography an…
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Alexander Geng, Ali Moghiseh, Claudia Redenbach +1
Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations. However, recent e…
Riesz feature representation: scale equivariant scattering network for classification tasks
Tin Barisin, Jesus Angulo, Katja Schladitz +1
Scattering networks yield powerful and robust hierarchical image descriptors which do not require lengthy training and which work well with very few training data. However, they re…
Riesz networks: scale invariant neural networks in a single forward pass
Tin Barisin, Katja Schladitz, Claudia Redenbach
Scale invariance of an algorithm refers to its ability to treat objects equally independently of their size. For neural networks, scale invariance is typically achieved by data aug…
Improved Anisotropic Gaussian Filters
Alex Keilmann, Michael Godehardt, Ali Moghiseh +2
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers. In cases where computed tomography images are noisy, roughly resolved, and of low contrast…