no code implementations • 6 Sep 2023 • Lorenzo Corradi, Alessandro Manenti, Francesca Del Bonifro, Francesco Setti, Dario Del Sorbo
The model has been evaluated over machine translated Stanford NLI test dataset, machine translated Multi-Genre NLI test dataset, and manually translated RTE3-ITA test dataset.
no code implementations • 1 Aug 2023 • Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti
Markerless Human Pose Estimation (HPE) proved its potential to support decision making and assessment in many fields of application.
1 code implementation • 23 Sep 2022 • Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani
A neuron is important if its gradient with respect to the correct class decision is high.
1 code implementation • 24 Jul 2022 • Alessio Sampieri, Guido D'Amely, Andrea Avogaro, Federico Cunico, Geri Skenderi, Francesco Setti, Marco Cristani, Fabio Galasso
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting.
no code implementations • 7 Apr 2021 • Vivek Singh Bawa, Gurkirt Singh, Francis KapingA, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin
For an autonomous robotic system, monitoring surgeon actions and assisting the main surgeon during a procedure can be very challenging.
no code implementations • 17 Sep 2020 • Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti
Our POMP method uses as input the current pose of an agent (e. g. a robot) and a RGB-D frame.
no code implementations • 12 Jun 2020 • Vivek Singh Bawa, Gurkirt Singh, Francis KapingA, InnaSkarga-Bandurova, Alice Leporini, Carmela Landolfo, Armando Stabile, Francesco Setti, Riccardo Muradore, Elettra Oleari, Fabio Cuzzolin
In this work, we take aim towards increasing the effectiveness of surgical assistant robots.
no code implementations • 11 May 2020 • Marco Cristani, Alessio Del Bue, Vittorio Murino, Francesco Setti, Alessandro Vinciarelli
One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD).
no code implementations • 7 Jan 2019 • Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
In this work, we explore the correlation between people trajectories and their head orientations.
no code implementations • CVPR 2018 • Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Fabio Galasso, Marco Cristani
Recent approaches on trajectory forecasting use tracklets to predict the future positions of pedestrians exploiting Long Short Term Memory (LSTM) architectures.
no code implementations • IEEE Winter Conference on Applications of Computer Vision (WACV) 2018 • Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Alessio Del Bue, Marco Cristani, Fabio Galasso
In this paper we show the importance of the head pose estimation in the task of trajectory forecasting.
no code implementations • 2 Oct 2017 • Marco Godi, Paolo Rota, Francesco Setti
Highlights in a sport video are usually referred as actions that stimulate excitement or attract attention of the audience.
no code implementations • CVPR 2015 • Davide Conigliaro, Paolo Rota, Francesco Setti, Chiara Bassetti, Nicola Conci, Nicu Sebe, Marco Cristani
In the dataset, a massive annotation has been carried out, focusing on the spectators at different levels of details: at a higher level, people have been labeled depending on the team they are supporting and the fact that they know the people close to them; going to the lower levels, standard pose information has been considered (regarding the head, the body) but also fine grained actions such as hands on hips, clapping hands etc.
no code implementations • 9 Sep 2014 • Francesco Setti, Chris Russell, Chiara Bassetti, Marco Cristani
Then, as a main contribution, we present a brand new method for the automatic detection of groups in still images, which is based on a graph-cuts framework for clustering individuals; in particular we are able to codify in a computational sense the sociological definition of F-formation, that is very useful to encode a group having only proxemic information: position and orientation of people.