activity
20232026
most citedA Machine Learning-oriented Survey on Tiny Machine Learning

4 citations · 5 across the 10 of their papers we have counts for

collaborators

12 papers

cs.LG2026

ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection

Uzair Khan, Luigi Capogrosso, Francesco Biondani +4

Time series anomaly detection is a crucial task in various domains, including finance, healthcare, and industry. However, existing methods often struggle to generalize across diffe…

cs.CV2025

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices

Uzair Khan, Franco Fummi, Luigi Capogrosso

In the era of intelligent manufacturing, anomaly detection has become essential for maintaining quality control on modern production lines. However, while many existing models show…

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.LG2024

MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting

Andrea Avogaro, Luigi Capogrosso, Franco Fummi +1

The fast fashion industry suffers from significant environmental impacts due to overproduction and unsold inventory. Accurately predicting sales volumes for unreleased products cou…

cs.CV2024

Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting

Andrea Avogaro, Luigi Capogrosso, Franco Fummi +1

In the fast-fashion industry, overproduction and unsold inventory create significant environmental problems. Precise sales forecasts for unreleased items could drastically improve…

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…