Davide Dalle Pezze
Scholar

Davide Dalle Pezze

Google Scholar ID: EvzyZBMAAAAJ
University of Padua
Deep LearningIndustry 4.0Continual LearningVisual Anomaly Detection
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
175
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
30
list available
Contact
Emaildavide.dallepezze@dei.unipd.it
Publications
19 items
Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions
2026
Cited
0
AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection
2026
Cited
0
Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices
2026
Cited
0
VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery
2026
Cited
0
MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection
2026
Cited
0
Explainable Visual Anomaly Detection via Concept Bottleneck Models
2025
Cited
0
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
2025
Cited
0
Towards Continual Visual Anomaly Detection in the Medical Domain
2025
Cited
0
Resume (English only)
Co-authors
30 total
Co-author 1
Co-author 1
Co-author 2
Co-author 2
Manuel Barusco
Manuel Barusco
Università degli Studi di Padova
Co-author 4
Co-author 4
Co-author 5
Co-author 5
Francesco Borsatti
Francesco Borsatti
PhD Student, University of Padua
Elisabetta Farella
Elisabetta Farella
ICT Center - FBK
Francesco Paissan
Francesco Paissan
Research Intern, MERL. University of Trento.