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Pattern Analysis and Computer Vision

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:

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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).

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

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

DOI 10.1007/978-3-031-06430-2_3

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)

2022

Ahmed W., Morerio P., Murino V.

Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation

Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, pp. 356-365

DOI 10.1109/WACV51458.2022.00043

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[Videos] - Video list

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 People

Principal Investigator

Alessio Del Bue

Pattern Analysis and Computer Vision

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Tweets by PAVIS

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