3 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
TUCaN: Progressively Teaching Colourisation to Capsules
Rita Pucci, Niki Martinel
Automatic image colourisation is the computer vision research path that studies how to colourise greyscale images (for restoration). Deep learning techniques improved image colouri…
Collaboration among Image and Object Level Features for Image Colourisation
Rita Pucci, Christian Micheloni, Niki Martinel
Image colourisation is an ill-posed problem, with multiple correct solutions which depend on the context and object instances present in the input datum. Previous approaches attack…
Is It a Plausible Colour? UCapsNet for Image Colourisation
Rita Pucci, Christian Micheloni, Gian Luca Foresti +1
Human beings can imagine the colours of a grayscale image with no particular effort thanks to their ability of semantic feature extraction. Can an autonomous system achieve that? C…
WhoAmI: An Automatic Tool for Visual Recognition of Tiger and Leopard Individuals in the Wild
Rita Pucci, Jitendra Shankaraiah, Devcharan Jathanna +2
Photographs of wild animals in their natural habitats can be recorded unobtrusively via cameras that are triggered by motion nearby. The installation of such camera traps is becomi…