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06/29/2023
A Low-Power Hardware-Friendly Optimisation Algorithm With Absolute Numerical Stability and Convergence Guarantees
We propose Dual-Feedback Generalized Proximal Gradient Descent (DFGPGD) ...
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04/17/2023
Towards Tumour Graph Learning for Survival Prediction in Head Neck Cancer Patients
With nearly one million new cases diagnosed worldwide in 2020, head & ne...
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03/31/2023
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation
Retinal fundus images can be an invaluable diagnosis tool for screening ...
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11/06/2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems
End-to-end deep neural networks (DNNs) have become state-of-the-art (SOT...
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03/04/2022
Sharper Bounds for Proximal Gradient Algorithms with Errors
We analyse the convergence of the proximal gradient algorithm for convex...
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06/13/2021
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
Hyperspectral (HS) images contain detailed spectral information that has...
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11/29/2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
The remarkable performance of deep neural networks (DNNs) currently make...
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04/02/2020
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization
Single-image super-resolution is the process of increasing the resolutio...
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10/31/2019
Image-Guided Depth Upsampling via Hessian and TV Priors
We propose a method that combines sparse depth (LiDAR) measurements with...
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07/11/2019
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization
Super-resolution (SR) is a technique that allows increasing the resoluti...
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06/26/2018
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction
Medical imaging tasks often involve multiple contrasts, such as T1- and ...
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09/25/2017
Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries
Real-world data processing problems often involve various image modaliti...
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07/14/2016
Multi-modal dictionary learning for image separation with application in art investigation
In support of art investigation, we propose a new source separation meth...
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05/20/2016
X-ray image separation via coupled dictionary learning
In support of art investigation, we propose a new source sepa- ration me...
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03/11/2015
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction
We propose and analyze an online algorithm for reconstructing a sequence...
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10/10/2014
