Diego Carrera — accepted AI-conference papers

2020

Augmented Grad-CAM: Heat-Maps Super Resolution Through Augmentation

Pietro Morbidelli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi

ICASSP 2020accepted

We present Augmented Grad-CAM, a general framework to provide a high-resolution visual explanation of CNN outputs. Our idea is to take advantage of image augmentation to aggregate multiple low-resolution heat-maps - in our experiments Grad-CAMs - computed from augmented copies of the same input imag…

Cited by 0 Source ↗Scholar ↗

2018

QuantTree: Histograms for Change Detection in Multivariate Data Streams

Giacomo Boracchi, Diego Carrera, Cristiano Cervellera, Danilo Macciò

ICML 2018oral

We address the problem of detecting distribution changes in multivariate data streams by means of histograms. Histograms are very general and flexible models, which have been relatively ignored in the change-detection literature as they often require a number of bins that grows unfeasibly with the d…

Cited by 79 Source ↗PDF ↗Scholar ↗