Scholar
Francesco Setti
Google Scholar ID: P50aGF4AAAAJ
University of Verona
Computer Vision
Machine Learning
Social Signal Processing
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,610
H-index
20
i10-index
38
Publications
20
Co-authors
57
list available
Publications
14 items
LiZAD: A Lightweight Zero-Shot Anomaly Detection Framework for Industrial Manufacturing
2026
Cited
0
ChronosAD: Leveraging Time Series Foundation Models for Accurate Anomaly Detection
2026
Cited
0
Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
2026
Cited
0
Anomaly-Aware Vision-Language Adapters for Zero-Shot Anomaly Detection
2026
Cited
0
MECAD: A multi-expert architecture for continual anomaly detection
2025
Cited
0
Diffusion-Based Data Augmentation for Medical Image Segmentation
2025
Cited
0
A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
2025
Cited
0
Robust Anomaly Detection in Industrial Environments via Meta-Learning
2025
Cited
0
Load more
Co-authors
11 total
Marco Cristani
Università degli Studi di Verona & Istituto Italiano di Tecnologia & CNR Trento
Alessio Del Bue
Fondazione Istituto Italiano di Tecnologia (IIT)
Riccardo Muradore
Department of Computer Science, University of Verona
Fabio Galasso
Sapienza University of Rome
Irtiza Hasan
Senior Scientist at Immersal
Vittorio Murino
Professor @ University of Verona. PI of AIGO - AI for Good @ Italian Institute of Technology.
Federico Cunico
University of Verona
Luigi Capogrosso
Postdoctoral Researcher at the Interdisciplinary Transformation University of Austria
