Vittorio Murino

Introduction

Prof. Murino's main research interests and expertise involve computer vision and machine/deep learning, pattern recognition, image and signal processing, and neuroimaging/neuroscience (computational, mainly related to data analysis).

In particular:

• His main research focus lies on deep learning nowadays, specifically on domain adaptation and generalization, multi-modal deep learning models, learning with privileged information, zero/one/few-shot learning, and disentangling representation models. Related applications involve classification and recognition in general, in supervised  and unsupervised scenarios, including (fine-grained) activity recognition.
• He has particular interest in multimodal social signal processing approaches for the analysis of human behavior, with main applications related to surveillance and security, human-human and human-machine interaction, ambient intelligence, and retailing. Also major experience in standard industrial applicative domains such as visual inspection and automation.
• He is also tackling biomedical applications: main work and interests lie in neuroimaging data analysis, namely Magnetic Resonance Imaging and, in particular, in the study of neural correlates responsible of (social) behavior, with applications in behavioral neurological pathologies (e.g., schizophrenia, autism, etc.) and brain function understanding in general. We deal with these problems using a connectomics approach, specifically by integrating structural and functional connectomics data/information.
• He has a notable former experience in underwater vision (acoustical and optical), data fusion and sensory integration with applications on (underwater) object detection and recognition, object and scene reconstruction.

The research activities are performed in the context of EU, national and industrial projects in direct collaboration with other universities, research centers and companies.