Arianna Stropeni

According to our database, Arianna Stropeni authored at least 8 papers between 2025 and 2026.

Collaborative distances:

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

2026

Deep Learning for Virtual Reality User Identification: A Benchmark.

Davide Frizzo, Fabrizio Genilotti, David Petrovic, Arianna Stropeni, Francesco Borsatti, Davide Dalle Pezze, Riccardo De Monte, Manuel Barusco, Gian Antonio Susto

CoRR, April, 2026

AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving.

Fabrizio Genilotti, Arianna Stropeni, Gionata Grotto, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto

CoRR, April, 2026

Efficient Visual Anomaly Detection at the Edge: Enabling Real-Time Industrial Inspection on Resource-Constrained Devices.

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

CoRR, March, 2026

VAD4Space: Visual Anomaly Detection for Planetary Surface Imagery.

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

CoRR, March, 2026

MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection.

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

CoRR, March, 2026

2025

Explainable Visual Anomaly Detection via Concept Bottleneck Models.

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

CoRR, November, 2025

MoViAD: A Modular Library for Visual Anomaly Detection.

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

CoRR, July, 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