Manuel Barusco

According to our database, Manuel Barusco authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MoViAD: A Modular Library for Visual Anomaly Detection.

Manuel Barusco, Francesco Borsatti, Arianna Stropeni, Davide Dalle Pezze, Gian Antonio Susto

CoRR, July, 2025

Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing.

Adrian Poniatowski, Natalie Gentner, Manuel Barusco, Davide Dalle Pezze, Samuele Salti, Gian Antonio Susto

CoRR, June, 2025

Evaluating Modern Visual Anomaly Detection Approaches in Semiconductor Manufacturing: A Comparative Study.

Manuel Barusco, Francesco Borsatti, Youssef Ben Khalifa, Davide Dalle Pezze, Gian Antonio Susto

CoRR, May, 2025

Towards Scalable IoT Deployment for Visual Anomaly Detection via Efficient Compression.

Arianna Stropeni, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Marco Fabris, Gian Antonio Susto

CoRR, May, 2025

Memory Efficient Continual Learning for Edge-Based Visual Anomaly Detection.

Manuel Barusco, Lorenzo D'Antoni, Davide Dalle Pezze, Francesco Borsatti, Gian Antonio Susto

CoRR, March, 2025

From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms.

Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto

CoRR, February, 2025

PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge.

Manuel Barusco, Francesco Borsatti, Davide Dalle Pezze, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Content-Based Dataset Retrieval Methods: Reproducibility of the ACORDAR Test Collection.

Laura Menotti, Manuel Barusco, Riccardo Forzan, Gianmaria Silvello

Proceedings of the Linking Theory and Practice of Digital Libraries, 2024

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning.

Nikola Bugarin, Jovana Bugaric, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

SEUPD@CLEF: Team Lgtm on Argument Retrieval for Controversial Questions.

Manuel Barusco, Gabriele Del Fiume, Riccardo Forzan, Mario Giovanni Peloso, Nicola Rizzetto, Elham Soleymani, Nicola Ferro

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022