no code implementations • 24 Aug 2023 • Alessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Lorenzo Seidenari, Roberto Vezzani, Alberto del Bimbo
Technologies to enable safe and effective collaboration and coexistence between humans and robots have gained significant importance in the last few years.
no code implementations • 24 Jul 2023 • Davide Di Nucci, Alessandro Simoni, Matteo Tomei, Luca Ciuffreda, Roberto Vezzani, Rita Cucchiara
Neural Radiance Fields (NeRFs) have gained widespread recognition as a highly effective technique for representing 3D reconstructions of objects and scenes derived from sets of images.
no code implementations • 6 Jul 2022 • Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani
Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes.
1 code implementation • 21 Oct 2021 • Alessandro Simoni, Stefano Pini, Roberto Vezzani, Rita Cucchiara
Recently, learning frameworks have shown the capability of inferring the accurate shape, pose, and texture of an object from a single RGB image.
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 • 23 Jan 2019 • Matteo Fabbri, Guido Borghi, Fabio Lanzi, Roberto Vezzani, Simone Calderara, Rita Cucchiara
Can faces acquired by low-cost depth sensors be useful to catch some characteristic details of the face?
no code implementations • 5 Dec 2018 • Stefano Pini, Guido Borghi, Roberto Vezzani
Event cameras are biologically-inspired sensors that gather the temporal evolution of the scene.
no code implementations • 30 May 2018 • Stefano Pini, Filippo Grazioli, Guido Borghi, Roberto Vezzani, Rita Cucchiara
In this paper, an adversarial architecture for facial depth map estimation from monocular intensity images is presented.
2 code implementations • ECCV 2018 • Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, Rita Cucchiara
Multi-People Tracking in an open-world setting requires a special effort in precise detection.
no code implementations • 12 Dec 2017 • Guido Borghi, Matteo Fabbri, Roberto Vezzani, Simone Calderara, Rita Cucchiara
Therefore, we propose a complete framework for the estimation of the head and shoulder pose based on depth images only.
no code implementations • 21 Jul 2017 • Diego Ballotta, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Two public datasets have been exploited: the first one, called Pandora, is used to train a deep binary classifier with face and non-face images.
no code implementations • 10 Mar 2017 • Marco Venturelli, Guido Borghi, Roberto Vezzani, Rita Cucchiara
In this paper, we tackle the pose estimation problem through a deep learning network working in regression manner.
no code implementations • 8 Mar 2017 • Guido Borghi, Roberto Vezzani, Rita Cucchiara
HMMs are widely used in action and gesture recognition due to their implementation simplicity, low computational requirement, scalability and high parallelism.
no code implementations • 6 Mar 2017 • Marco Venturelli, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Recently, deep learning approaches have achieved promising results in various fields of computer vision.
no code implementations • CVPR 2017 • Guido Borghi, Marco Venturelli, Roberto Vezzani, Rita Cucchiara
In this work, we present a new deep learning framework for head localization and pose estimation on depth images.