most citedDeep learning for source camera identification on mobile devices

129 citations · 130 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2021

FootApp: an AI-Powered System for Football Match Annotation

Silvio Barra, Salvatore M. Carta, Alessandro Giuliani +3

In the last years, scientific and industrial research has experienced a growing interest in acquiring large annotated data sets to train artificial intelligence algorithms for tack…

cs.CV2021

Visual Question Answering: which investigated applications?

Silvio Barra, Carmen Bisogni, Maria De Marsico +1

Visual Question Answering (VQA) is an extremely stimulating and challenging research area where Computer Vision (CV) and Natural Language Processig (NLP) have recently met. In imag…

cs.HC2021

Natural interaction with traffic control cameras through multimodal interfaces

Marco Grazioso, Alessandro Sebastian Podda, Silvio Barra +1

Human-Computer Interfaces have always played a fundamental role in usability and commands' interpretability of the modern software systems. With the explosion of the Artificial Int…

eess.SY20211 cited

Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection

Andrea Atzori, Silvio Barra, Salvatore Carta +2

Since their appearance, Smart Cities have aimed at improving the daily life of people, helping to make public services smarter and more efficient. Several of these services are oft…

cs.CV2017129 cited

Deep learning for source camera identification on mobile devices

David Freire-Obregón, Fabio Narducci, Silvio Barra +1

In the present paper, we propose a source camera identification method for mobile devices based on deep learning. Recently, convolutional neural networks (CNNs) have shown a remark…