2 citations · 6 across the 17 of their papers we have counts for
3 papers · 1 filter
Learn to See by Events: Color Frame Synthesis from Event and RGB Cameras
Stefano Pini, Guido Borghi, Roberto Vezzani
Event cameras are biologically-inspired sensors that gather the temporal evolution of the scene. They capture pixel-wise brightness variations and output a corresponding stream of…
Learning to Generate Facial Depth Maps
Stefano Pini, Filippo Grazioli, Guido Borghi +2
In this paper, an adversarial architecture for facial depth map estimation from monocular intensity images is presented. By following an image-to-image approach, we combine the adv…
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Matteo Fabbri, Fabio Lanzi, Simone Calderara +3
Multi-People Tracking in an open-world setting requires a special effort in precise detection. Moreover, temporal continuity in the detection phase gains more importance when scene…