Manuel Barusco

19 papers Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection.
CoRR
Manuel Barusco, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2026 J jnl
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing.
IEEE Trans Autom. Sci. Eng.
Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, Gian Antonio Susto
2026 J jnl
Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices.
CoRR
Arianna Stropeni, Fabrizio Genilotti, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2026 J jnl
MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection.
CoRR
Jinwei Hu, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2026 J jnl
VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery.
CoRR
Fabrizio Genilotti, Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing.
CoRR
Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, Gian Antonio Susto
2025 J jnl
Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study.
CoRR
Manuel Barusco, Francesco Borsatti, Youssef Ben Khalifa, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
Explainable Visual Anomaly Detection via Concept Bottleneck Models.
CoRR
Arianna Stropeni, Valentina Zaccaria, Francesco Borsatti, Davide Dalle Pezze, Manuel Barusco, Gian Antonio Susto
2025 J jnl
From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms.
CoRR
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025 J jnl
Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection.
CoRR
Manuel Barusco, Lorenzo D'Antoni, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto
2025 J jnl
MoViAD: A Modular Library for Visual Anomaly Detection.
CoRR
Manuel Barusco, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Gian Antonio Susto
2025 — conf
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.
CVPR Workshops
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2025 J jnl
Towards Continual Visual Anomaly Detection in the Medical Domain.
CoRR
Manuel Barusco, Francesco Borsatti, Nicola Beda, Davide Dalle Pezze, Gian Antonio Susto
2025 J jnl
Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression.
CoRR
Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Marco Fabris, Gian Antonio Susto
2024 — conf
Content-Based Dataset Retrieval Methods: Reproducibility of the ACORDAR Test Collection.
TPDL (1)
Laura Menotti, Manuel Barusco, Riccardo Forzan, Gianmaria Silvello
2024 J jnl
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.
CoRR
Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto
2024 — conf
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning.
CVPR Workshops
Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2024 J jnl
Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning.
CoRR
Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto
2022 — conf
SEUPD@CLEF: Team Lgtm on Argument Retrieval for Controversial Questions.
CLEF (Working Notes)
Manuel Barusco, Gabriele Del Fiume, Riccardo Forzan, Mario Giovanni Peloso, Nicola Rizzetto, Elham Soleymani, Nicola Ferro