1 code implementation • 9 Jan 2024 • Alberto Testolin, Kuinan Hou, Marco Zorzi
Humans can readily judge the number of objects in a visual scene, even without counting, and such a skill has been documented in many animal species and babies prior to language development and formal schooling.
no code implementations • 11 May 2023 • Lorenzo Tausani, Alberto Testolin, Marco Zorzi
Generative neural networks can produce data samples according to the statistical properties of their training distribution.
no code implementations • 12 Jul 2022 • Matteo Zambra, Alberto Testolin, Marco Zorzi
Deep belief networks (DBNs) are stochastic neural networks that can extract rich internal representations of the environment from the sensory data.
no code implementations • 31 Jul 2019 • Alberto Cenzato, Alberto Testolin, Marco Zorzi
In recent years, a variety of approaches have been proposed for learning to predict the physical dynamics of objects interacting in a visual scene.
no code implementations • 16 Jul 2019 • Alberto Testolin, Serena Dolfi, Mathijs Rochus, Marco Zorzi
Numerosity perception is foundational to mathematical learning, but its computational bases are strongly debated.
1 code implementation • 3 Nov 2015 • Fabian Tschopp, Marco Zorzi
We tackle the problem of getting a full 6-DOF pose estimation of a query image inside a given point cloud.