5 papers
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Geri Skenderi, Luigi Capogrosso, Andrea Toaiari +3
Auxiliary tasks facilitate learning in situations where data is scarce or the principal task of interest is extremely complex. This idea is primarily inspired by the improved gener…
New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends
Andrea Avogaro, Luigi Capogrosso, Andrea Toaiari +2
The fast fashion industry's insatiable demand for new styles and rapid production cycles has led to a significant environmental burden. Overproduction, excessive waste, and harmful…
Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
Andrea Toaiari, Vittorio Murino, Marco Cristani +1
Gaze Target Detection (GTD), i.e., determining where a person is looking within a scene from an external viewpoint, is a challenging task, particularly in 3D space. Existing approa…
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro +4
Patterns of human motion in outdoor and indoor environments are substantially different due to the scope of the environment and the typical intentions of people therein. While outd…
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…