AI for Good
AIGO utilizes state-of-the-art multimodal models and Foundation Models to interpret complex signals from various modalities, including video, audio, and language. Through the integration of specialized components known as Adapters, the group develops efficient and scalable AI solutions for high-impact sectors such as healthcare, assisted living, and industrial inspection.
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Active Projects
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Team Members
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Publications
Our Team
Relevant Papers
2026
Shiri M., Beyan C., Murino V.
MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
Lecture Notes in Computer Science, vol. 16167 LNCS, pp. 247-259
2025
Serez D., Cristani M., Del Bue A., Murino V., Morerio P.
A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation
Transactions on Machine Learning Research, vol. 2025-September
2025
Ciranni M., Pastore V.P., Di Via R., Tartaglione E., Odone F., Murino V.
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Neural Information Processing Systems