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04/14/2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
Reconstructing an image from noisy and incomplete measurements is a cent...
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07/09/2022
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks
Unsupervised image transfer enables intra- and inter-modality transfer f...
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01/28/2022
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
Real-time estimation of actual object depth is a module that is essentia...
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03/31/2021
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
Real-time estimation of actual environment depth is an essential module ...
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03/15/2021
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines
Digitalization offers a large number of promising tools for large intern...
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09/01/2020
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space
Over the last decade of machine learning, convolutional neural networks ...
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10/23/2019
Random 2.5D U-net for Fully 3D Segmentation
Convolutional neural networks are state-of-the-art for various segmentat...
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02/01/2019
