19 citations · 24 across the 5 of their papers we have counts for
5 papers
Joint multiband deconvolution for Euclid and Vera C. Rubin images
Utsav Akhaury, Pascale Jablonka, Frédéric Courbin +1
With the advent of surveys like Euclid and Vera C. Rubin, astrophysicists will have access to both deep, high-resolution images and multiband images. However, these two types are n…
Ground-based image deconvolution with Swin Transformer UNet
Utsav Akhaury, Pascale Jablonka, Jean-Luc Starck +1
As ground-based all-sky astronomical surveys will gather millions of images in the coming years, a critical requirement emerges for the development of fast deconvolution algorithms…
Deep Learning-based galaxy image deconvolution
Utsav Akhaury, Jean-Luc Starck, Pascale Jablonka +2
With the onset of large-scale astronomical surveys capturing millions of images, there is an increasing need to develop fast and accurate deconvolution algorithms that generalize w…
ShapeNet: Shape Constraint for Galaxy Image Deconvolution
F. Nammour, U. Akhaury, J. N. Girard +4
Deep Learning (DL) has shown remarkable results in solving inverse problems in various domains. In particular, the Tikhonet approach is very powerful to deconvolve optical astronom…
Machine Learning Based Forward Solver: An Automatic Framework in gprMax
Utsav Akhaury, Iraklis Giannakis, Craig Warren +1
General full-wave electromagnetic solvers, such as those utilizing the finite-difference time-domain (FDTD) method, are computationally demanding for simulating practical GPR probl…