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08/03/2023
PoissonNet: Resolution-Agnostic 3D Shape Reconstruction using Fourier Neural Operators
We introduce PoissonNet, an architecture for shape reconstruction that a...
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11/22/2022
Explaining Image Classifiers with Multiscale Directional Image Representation
Image classifiers are known to be difficult to interpret and therefore r...
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08/12/2021
Deep Microlocal Reconstruction for Limited-Angle Tomography
We present a deep learning-based algorithm to jointly solve a reconstruc...
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06/08/2020
tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning
The shearlet transform from applied harmonic analysis is currently the s...
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11/27/2019
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
Semantic edge detection has recently gained a lot of attention as an ima...
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01/05/2019