[HOME] - Introduction

[HOME] - Research Topics

Spatial AI

Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial semantic (where are things, what is their function, which is the dynamic of the scene).

Social AI

Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with.

IIT Publications List

Last Publications
Mohammadi S. S., Duarte N. F., Dimou D., Wang Y., Taiana M., Morerio P., Dehban A., Moreno P., Bernardino A., Del Bue A., Santos-Victor J.
3DSGrasp: 3D Shape-Completion for Robotic Grasp
2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 6
Savian S., Elahi M., Janes A., Tillo T.
Benchmarking equivariance for Deep Learning based optical flow estimators
Signal Processing: Image Communication
Domenici N., Sanguineti V., Morerio P., Campus C., Del Bue A., Gori M., Murino V.
Computational modeling of human multisensory spatial representation by a neural architecture
PLoS ONE, vol. 18, (no. 3 March)

[Videos] - Video list


Intelligent Sensor Network for assistive AI Research
Introduction to MEMEX Project
Aworld - AI powered visual localization
PAVIS - Overview
SceneUnderLight - IIT - UNIVR - OSRAM
Drone Localization with Augmented Acoustic Imaging

[HOME] - Social