The main research interests and skills of Prof. Cristani concern pattern recognition and automatic and deep learning, computer vision and classification, image and video sequences processing, prediction and forecasting.
In particular:
The focus of his research is now on forecasting or prediction, through which it is possible to predict the trend and values ​​of a signal. Specifically, it deals with multimodal prediction, in which the signal to be predicted is not a simple numerical series, but also an image or a video. For example, predicting the market impact of a particular dress or fabric will be within her research fields. For this, prof. Cristani deals with latent representations and embedding spaces, in the field of machine and deep learning.
Prof. Cristani deals with the processing of social signals for the analysis of human behavior, with the main applications relating to surveillance and security, human-human and human-machine interaction, environmental intelligence and the retailing sector. Specifically, it deals with the detection of behavior in unsupervised environments, with a specific focus on the detection of social groups.
Research activities are carried out in the context of community, national and industrial projects in direct collaboration with other universities, research centers and companies.