activity
20222025
most citedA Masked Face Classification Benchmark on Low-Resolution Surveillance Images

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2025

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.LG2023

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…

cs.CV2022★ 2 cited

A Masked Face Classification Benchmark on Low-Resolution Surveillance Images

Federico Cunico, Andrea Toaiari, Marco Cristani

We propose a novel image dataset focused on tiny faces wearing face masks for mask classification purposes, dubbed Small Face MASK (SF-MASK), composed of a collection made from 20k…