27 citations · 29 across the 9 of their papers we have counts for
4 papers · 1 filter
Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices
Ettore Maria Celozzi, Luca Ciabini, Luca Cultrera +4
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 checkin…
Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamics
Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti +3
We propose an automatic method for pain intensity measurement from video. For each video, pain intensity was measured using the dynamics of facial movement using 66 facial points.…
Explaining Autonomous Driving by Learning End-to-End Visual Attention
Luca Cultrera, Lorenzo Seidenari, Federico Becattini +2
Current deep learning based autonomous driving approaches yield impressive results also leading to in-production deployment in certain controlled scenarios. One of the most popular…
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces
Claudio Ferrari, Stefano Berretti, Pietro Pala +1
The 3D Morphable Model (3DMM) is a powerful statistical tool for representing 3D face shapes. To build a 3DMM, a training set of face scans in full point-to-point correspondence is…