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 […]
Read More »