Scholar
Manuel Barusco
Google Scholar ID: VAz0PCYAAAAJ
Università degli Studi di Padova
Anomaly Detection
Deep Learning
Continual Learning
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Citations & Impact
All-time
Citations
24
H-index
2
i10-index
1
Publications
14
Co-authors
8
list available
Contact
No contact links provided.
Publications
13 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
Towards Continual Visual Anomaly Detection in the Medical Domain
2025
Cited
0
MoViAD: Modular Visual Anomaly Detection
2025
Cited
0
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Resume (English only)
Co-authors
8 total
Davide Dalle Pezze
University of Padua
Co-author 2
Francesco Borsatti
PhD Student, University of Padua
Elisabetta Farella
ICT Center - FBK
Francesco Paissan
Research Intern, MERL. University of Trento.
Nicola Ferro
Full Professor, University of Padua, Italy
Laura Menotti
Università degli Studi di Padova
Gianmaria Silvello
Full Professor, University of Padua
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