activity
20192022
most citedSeq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data

4 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.EP20223 cited

Comet nuclei composition and evolution

Gianrico Filacchione, Mauro Ciarniello, Sonia Fornasier +1

Thanks to Rosetta orbiter's and Philae lander's data our knowledge of cometary nuclei composition has experienced a great advancement. The properties of 67P/CG nucleus are discusse…

cs.CV2022

Real or Virtual: A Video Conferencing Background Manipulation-Detection System

Ehsan Nowroozi, Yassine Mekdad, Mauro Conti +3

Recently, the popularity and wide use of the last-generation video conferencing technologies created an exponential growth in its market size. Such technology allows participants i…

cs.CR20212 cited

Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System

Mauro Conti, Simone Milani, Ehsan Nowroozi +1

The last-generation video conferencing software allows users to utilize a virtual background to conceal their personal environment due to privacy concerns, especially in official m…

cs.CV2020

On the use of Benford's law to detect GAN-generated images

Nicolò Bonettini, Paolo Bestagini, Simone Milani +1

The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery. The malicious diffusion of GAN-g…

eess.SP20194 cited

Seq2Seq RNN based Gait Anomaly Detection from Smartphone Acquired Multimodal Motion Data

Riccardo Bonetto, Mattia Soldan, Alberto Lanaro +2

Smartphones and wearable devices are fast growing technologies that, in conjunction with advances in wireless sensor hardware, are enabling ubiquitous sensing applications. Wearabl…