no code implementations • 28 Dec 2020 • Elisa Maiettini, Andrea Maracani, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
We show that the robot can improve adaptation to novel domains, either by interacting with a human teacher (Active Learning) or with an autonomous supervision (Semi-supervised Learning).
no code implementations • 9 Jul 2019 • Jennifer J. Gago, Valentina Vasco, Bartek Łukawski, Ugo Pattacini, Vadim Tikhanoff, Juan G. Victores, Carlos Balaguer
Natural language to sign language translation presents several challenges to developers, such as the discordance between the length of input and output data and the use of non-manual markers.
1 code implementation • 6 Nov 2018 • Giovanni Morrone, Luca Pasa, Vadim Tikhanoff, Sonia Bergamaschi, Luciano Fadiga, Leonardo Badino
In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.
Ranked #1 on
Speech Enhancement
on GRID corpus (mixed-speech)
1 code implementation • 12 Oct 2017 • Claudio Fantacci, Giulia Vezzani, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale
To precisely reach for an object with a humanoid robot, it is of central importance to have good knowledge of both end-effector, object pose and shape.
Robotics Systems and Control Computation
1 code implementation • 14 Mar 2017 • Claudio Fantacci, Ugo Pattacini, Vadim Tikhanoff, Lorenzo Natale
This paper addresses recursive markerless estimation of a robot's end-effector using visual observations from its cameras.
Robotics