2 citations · 5 across the 6 of their papers we have counts for
10 papers
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Ariel Caputo, Andrea Giachetti, Simone Soso +16
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, ente…
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face
Matteo Fabbri, Guido Borghi, Fabio Lanzi +3
Can faces acquired by low-cost depth sensors be useful to catch some characteristic details of the face? Typically the answer is no. However, new deep architectures can generate RG…
Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring
Guido Borghi
Recently, deep learning approaches have achieved promising results in various fields of computer vision. In this paper, we investigate the combination of deep learning based method…
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…
Head Detection with Depth Images in the Wild
Diego Ballotta, Guido Borghi, Roberto Vezzani +1
Head detection and localization is a demanding task and a key element for many computer vision applications, like video surveillance, Human Computer Interaction and face analysis.…