The Pattern Analysis and Computer Vision (PAVIS) research line is actively developing an artificial intelligence (AI) infrastructure to understand our physical space and the human behaviors within it.
The focus is on creating intelligent systems that jointly accomplish two main goals:
Pattern Analysis and Computer Vision
Relevant Papers
2023
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
2022
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
Principal Investigator
Pattern Analysis and Computer Vision
- Offerte di lavoro
- 2 Postdoctoral positions in Audiovisual Learning and Audio Processing
Videos
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
IIT OpenTalk Magazine - Lab Highlights Vedi tutte >