Search Results for author: Francesco Solera

Found 7 papers, 4 papers with code

Circumventing the Curse of Dimensionality in Magnetic Resonance Fingerprinting through a Deep Learning Approach

1 code implementation28 Nov 2018 Marco Barbieri, Leonardo Brizi, Enrico Giampieri, Francesco Solera, Gastone Castellani, Claudia Testa, Daniel Remondini

Results demonstrated that training with random sampling and different levels of noise variance yielded the best performance.

Medical Physics

Learning Where to Attend Like a Human Driver

1 code implementation24 Nov 2016 Andrea Palazzi, Francesco Solera, Simone Calderara, Stefano Alletto, Rita Cucchiara

Despite the advent of autonomous cars, it's likely - at least in the near future - that human attention will still maintain a central role as a guarantee in terms of legal responsibility during the driving task.

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

23 code implementations6 Sep 2016 Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi

To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a new pair of precision-recall measures of performance that treats errors of all types uniformly and emphasizes correct identification over sources of error; (ii) the largest fully-annotated and calibrated data set to date with more than 2 million frames of 1080p, 60fps video taken by 8 cameras observing more than 2, 700 identities over 85 minutes; and (iii) a reference software system as a comparison baseline.

A Statistical Test for Joint Distributions Equivalence

no code implementations25 Jul 2016 Francesco Solera, Andrea Palazzi

We provide a distribution-free test that can be used to determine whether any two joint distributions $p$ and $q$ are statistically different by inspection of a large enough set of samples.

Learning to Divide and Conquer for Online Multi-Target Tracking

no code implementations ICCV 2015 Francesco Solera, Simone Calderara, Rita Cucchiara

Online Multiple Target Tracking (MTT) is often addressed within the tracking-by-detection paradigm.

Socially Constrained Structural Learning for Groups Detection in Crowd

no code implementations5 Aug 2015 Francesco Solera, Simone Calderara, Rita Cucchiara

Modern crowd theories agree that collective behavior is the result of the underlying interactions among small groups of individuals.

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