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
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.
Last Publications
2023
Savian S., Morerio P., Del Bue A., Janes A., Tillo T.
Towards Equivariant Optical Flow Estimation with Deep Learning
Winter Conference on Applications of Computer Vision (WACV)
2022
Zohaib M., Taiana M., Padalkar M.G., Del Bue A.
3D Key-Points Estimation from Single-View RGB Images
Lecture Notes in Computer Science, vol. 13232 LNCS, pp. 27-38
2022
Bustreo M., Haleem N., Del Bue A.
A compact intelligent system for online yarn quality evaluation
Workshop: AI for Industry, Second CINI National Conference on Artificial Intelligence (Ital-IA)
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
Principal Investigator
Pattern Analysis and Computer Vision
- Openings
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