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02/02/2023
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
Learning-based algorithms for automated license plate recognition implic...
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02/09/2021
Deep learning architectural designs for super-resolution of noisy images
Recent advances in deep learning have led to significant improvements in...
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11/18/2019
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing
Deep learning-based image processing is capable of creating highly appea...
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11/12/2019
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
The image signal processing pipeline (ISP) is a core element of digital ...
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09/13/2019
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks
Magnetic Resonance Fingerprinting (MRF) is an imaging technique acquirin...
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07/09/2019
RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting
Recently, Magnetic Resonance Fingerprinting (MRF) was proposed as a quan...
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04/06/2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Inverse problems play a central role for many classical computer vision ...
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02/12/2018
Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond
This paper introduces an universal and structure-preserving regularizati...
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03/08/2017