EYMOL: Variational Laws of Visual Attention for Dynamic Scenes

Dario Zanca (1,2), Marco Gori (2) (1) DINFO, University of Florence (2) DIISM, University of Siena Part of: Advances in Neural Information Processing Systems 30 (NIPS 2017) Abstract Computational models of visual attention are at the crossroad of disciplines like cognitive science, computational neuroscience, and computer vision. In this project we propose a model of […]

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Welcome!

This is the official web site of Siena Artificial Intelligence Laboratory. The focus of our research is on machine learning. In the last few years, we’ve been mainly involved in the conception of new theories of learning in structured domains and in their applications to pattern recognition and mining the web. We are also interested […]

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