no code implementations • 31 Oct 2023 • Luca Cultrera, Federico Becattini, Lorenzo Seidenari, Pietro Pala, Alberto del Bimbo
We feed the state of the vehicle along with the representation of the environment as a special token of the transformer and propagate it throughout the network.
no code implementations • 5 Sep 2022 • Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Pietro Pala, Alberto del Bimbo, Zakia Hammal
We compared our method to the state-of-the-art on both datasets using different testing protocols, showing the competitiveness of the proposed approach.
no code implementations • 24 Jun 2020 • Ettore Maria Celozzi, Luca Ciabini, Luca Cultrera, Pietro Pala, Stefano Berretti, Mohamed Daoudi, Alberto del Bimbo
In this paper, a model is presented to extract statistical summaries to characterize the repetition of a cyclic body action, for instance a gym exercise, for the purpose of checking the compliance of the observed action to a template one and highlighting the parts of the action that are not correctly executed (if any).
no code implementations • 24 Jun 2020 • Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Pietro Pala, Alberto del Bimbo, Zakia Hammal
For each video, pain intensity was measured using the dynamics of facial movement using 66 facial points.
1 code implementation • 6 Jun 2020 • Claudio Ferrari, Stefano Berretti, Pietro Pala, Alberto del Bimbo
The 3D Morphable Model (3DMM) is a powerful statistical tool for representing 3D face shapes.
no code implementations • 5 Jun 2020 • Luca Cultrera, Lorenzo Seidenari, Federico Becattini, Pietro Pala, Alberto del Bimbo
Current deep learning based autonomous driving approaches yield impressive results also leading to in-production deployment in certain controlled scenarios.
no code implementations • 1 Aug 2019 • Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo, Pietro Pala, Estelle Massart
In this paper, we tackle the problem of action recognition using body skeletons extracted from video sequences.
no code implementations • 22 Jul 2017 • Mohamed Daoudi, Stefano Berretti, Pietro Pala, Yvonne Delevoye, Alberto del Bimbo
Emotion recognition is attracting great interest for its potential application in a multitude of real-life situations.