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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

Relevant Papers
Cavazza J., Murino V., Bue A.D.
No Adversaries to Zero-Shot Learning: Distilling an Ensemble of Gaussian Feature Generators
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, (no. 10), pp. 12167-12178
Giuliari F., Skenderi G., Cristani M., Wang Y., Del Bue A.
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, pp. 19496-19505

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[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

Open Talk

IIT OpenTalk Magazine - Lab Highlights Show all >