52 citations · 67 across the 5 of their papers we have counts for
6 papers
Diffusion Meets Unrolling: Compressive SAR Image Reconstruction with Interleaved Learned Corrections
Odysseas Pappas, Andrew C. M. Austin, Perla Mayo +2
Compressive Synthetic Aperture Radar (SAR) imaging, typically formulated as an inverse problem and solved with traditional iterative optimisation methods, can be very computational…
Diffusion Probabilistic Models for Compressive SAR Imaging
Odysseas Pappas, Perla Mayo, Andrew Austin +1
Compressed sensing Synthetic Aperture Radar (SAR) image formation, formulated as an inverse problem and solved with traditional iterative optimization methods can be very computati…
Detection of Parasitic Eggs from Microscopy Images and the emergence of a new dataset
Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse +2
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment. The time sav…
Representation Learning via Cauchy Convolutional Sparse Coding
Perla Mayo, Oktay Karakuş, Robin Holmes +1
In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an \(\ell_2\)-norm fidelity term and a sparsity e…
Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior
Perla Mayo, Robin Holmes, Alin Achim
In the machine learning era, sparsity continues to attract significant interest due to the benefits it provides to learning models. Algorithms aiming to optimise the \(\ell_0\)- an…
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties
Oktay Karakus, Perla Mayo, Alin Achim
In this paper, we propose a proximal splitting methodology with a non-convex penalty function based on the heavy-tailed Cauchy distribution. We first suggest a closed-form expressi…