202 citations · 204 across the 4 of their papers we have counts for
6 papers
Circumventing the Curse of Dimensionality in Magnetic Resonance Fingerprinting through a Deep Learning Approach
Marco Barbieri, Leonardo Brizi, Enrico Giampieri +4
MR fingerprinting (MRF) is a rapid growing approach for fast quantitave MRI. A typical drawback of dictionary-based MRF is its explosion in size as a function of the number of reco…
Predicting the Driver's Focus of Attention: the DR(eye)VE Project
Andrea Palazzi, Davide Abati, Simone Calderara +2
In this work we aim to predict the driver's focus of attention. The goal is to estimate what a person would pay attention to while driving, and which part of the scene around the v…
Learning Where to Attend Like a Human Driver
Andrea Palazzi, Francesco Solera, Simone Calderara +2
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 responsi…
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera, Roger S. Zou +2
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 un…
A Statistical Test for Joint Distributions Equivalence
Francesco Solera, Andrea Palazzi
We provide a distribution-free test that can be used to determine whether any two joint distributions and are statistically different by inspection of a large enough set of…
Learning to Divide and Conquer for Online Multi-Target Tracking
Francesco Solera, Simone Calderara, Rita Cucchiara
Online Multiple Target Tracking (MTT) is often addressed within the tracking-by-detection paradigm. Detections are previously extracted independently in each frame and then objects…