Projects

This project aims to investigate and propose methods to improve the generalization ability of deep learning in applications related to plant species identification in image time series of near-surface remote phenology.

This project aims to investigate and propose methods to improve the generalization ability of deep learning in video understanding tasks, aiming to reduce the need for human supervision.

This project aims to investigate and propose methods to reduce the computational and human burden of deep learning in order to enable the development of more powerful Autonomous Computational Intelligences (ACIs).

This project aims to investigate and propose methods capable of analysing compressed video sequences and trigger alerts according to considered applications.

This project aims to address practical and theoretical aspects of a multimodal information representation by exploiting recent solutions in visual computing and machine intelligence to efficiently combine different data modalities.