1 code implementation • 26 May 2022 • Elia Moscoso Thompson, Andrea Ranieri, Silvia Biasotti, Miguel Chicchon, Ivan Sipiran, Minh-Khoi Pham, Thang-Long Nguyen-Ho, Hai-Dang Nguyen, Minh-Triet Tran
A training set, composed of 3836 semantic segmentation image/mask pairs and 797 RGB-D video clips collected with the latest depth cameras was made available to the participants.
Ranked #1 on Semantic Segmentation on Pothole Mix
no code implementations • 21 Jun 2021 • Ariel Caputo, Andrea Giachetti, Simone Soso, Deborah Pintani, Andrea D'Eusanio, Stefano Pini, Guido Borghi, Alessandro Simoni, Roberto Vezzani, Rita Cucchiara, Andrea Ranieri, Franca Giannini, Katia Lupinetti, Marina Monti, Mehran Maghoumi, Joseph J. LaViola Jr, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, entertainment systems, and more.
no code implementations • 25 Feb 2021 • Andrea Ranieri, Davide Caputo, Luca Verderame, Alessio Merlo, Luca Caviglione
Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm.
Cryptography and Security
no code implementations • 3 Mar 2020 • Katia Lupinetti, Andrea Ranieri, Franca Giannini, Marina Monti
Defining methods for the automatic understanding of gestures is of paramount importance in many application contexts and in Virtual Reality applications for creating more natural and easy-to-use human-computer interaction methods.
no code implementations • 12 Jul 2018 • Arturo Gomez Chavez, Andrea Ranieri, Davide Chiarella, Enrica Zereik, Anja Babić, Andreas Birk
In this article we present a novel underwater dataset collected from several field trials within the EU FP7 project "Cognitive autonomous diving buddy (CADDY)", where an Autonomous Underwater Vehicle (AUV) was used to interact with divers and monitor their activities.