55 citations · 164 across the 39 of their papers we have counts for
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cs.CV2023★ 1 cited
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation
Renato Sortino, Thomas Cecconello, Andrea DeMarco +10
Along with the nearing completion of the Square Kilometre Array (SKA), comes an increasing demand for accurate and reliable automated solutions to extract valuable information from…
cs.CV2023★ 18 cited
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods
Renato Sortino, Daniel Magro, Giuseppe Fiameni +9
In recent years, deep learning has been successfully applied in various scientific domains. Following these promising results and performances, it has recently also started being e…