244 citations · 277 across the 5 of their papers we have counts for
7 papers
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset
Andrea Avogaro, Andrea Toaiari, Federico Cunico +5
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and Spot, the quadruped robot manufactured by Boston Dynamics. Th…
The Relationship Between Speech Features Changes When You Get Depressed: Feature Correlations for Improving Speed and Performance of Depression Detection
Fuxiang Tao, Wei Ma, Xuri Ge +2
This work shows that depression changes the correlation between features extracted from speech. Furthermore, it shows that using such an insight can improve the training speed and…
Handwriting and Drawing for Depression Detection: A Preliminary Study
Gennaro Raimo, Michele Buonanno, Massimiliano Conson +6
The events of the past 2 years related to the pandemic have shown that it is increasingly important to find new tools to help mental health experts in diagnosing mood disorders. Le…
Co-Located Human-Human Interaction Analysis using Nonverbal Cues: A Survey
Cigdem Beyan, Alessandro Vinciarelli, Alessio Del Bue
Automated co-located human-human interaction analysis has been addressed by the use of nonverbal communication as measurable evidence of social and psychological phenomena. We surv…
Infinite Feature Selection: A Graph-based Feature Filtering Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +2
We propose a filtering feature selection framework that considers subsets of features as paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) r…
The Visual Social Distancing Problem
Marco Cristani, Alessio Del Bue, Vittorio Murino +2
One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD). To comply with this constraint, workpla…
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach
Giorgio Roffo, Simone Melzi, Umberto Castellani +1
Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual object tracking. However,…