In this thesis, it will be presented a set of computer vision algorithms mainly devoted to monitor the evolution of the content inside an ice-creams freezer for commercial purposes. In our work we have been asked to address ...

Al giorno d’oggi sono stati creati numerosi strumenti destinati ad aiutare i biologi nella loro attività di ricerca di fenomeni non ancora compresi. Essi sfruttano la grande mole di dati condivisi nella comunità scientifica. Uno ...

Verb Sense Disambiguation is a well known task in NLP, the aim is to find the correct sense of a verb in a sentence. Recently, this problem has been extended in multimodal scenario, by exploiting both textual and visual ...

In this document, we present an object detection system for italian documents. Unlike similar systems which use a single deep-learning solution, this system employs different solutions for a fast and accurated detection. ...

In the last few years, autonomous driving has become a major topic in both car industry and academia. Many challenging problems remain to be solved, however, in order for autonomous cars to be on the market. In this thesis, ...

In this thesis we have studied how a technique based on how game theory can improve classification results obtained with a deep learning module. In order to get this improvement we have applied this method to the music ...

Face recognition is a well-known technique with a wide range of existing real world applications. Residential systems, like video intercom or security alarm, are instead nearly unfamiliar terrain to such methods with few ...

Feature selection is a well known technique for data prepossessing with the purpose of removing redundant and irrelevant information with the benefits, among others, of an improved generalization and a decreased curse of ...

The problem of finding isomorphisms, or matching partitions, in hypergraphs has gained increasing interest from the scientific community in the last years, particularly in the Computer Vision field. This is due to the ...