activity
20182020
most citedThe COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

37 citations · 37 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Data augmentation techniques for the Video Question Answering task

Alex Falcon, Oswald Lanz, Giuseppe Serra

Video Question Answering (VideoQA) is a task that requires a model to analyze and understand both the visual content given by the input video and the textual part given by the ques…

cs.IR202037 cited

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Kevin Roitero, Michael Soprano, Beatrice Portelli +5

Misinformation is an ever increasing problem that is difficult to solve for the research community and has a negative impact on the society at large. Very recently, the problem has…

cs.LG2019

Text-to-Image Synthesis Based on Machine Generated Captions

Marco Menardi, Alex Falcon, Saida S. Mohamed +4

Text to Image Synthesis refers to the process of automatic generation of a photo-realistic image starting from a given text and is revolutionizing many real-world applications. In…

cs.CV2019

Video-Based Convolutional Attention for Person Re-Identification

Marco Zamprogno, Marco Passon, Niki Martinel +5

In this paper we consider the problem of video-based person re-identification, which is the task of associating videos of the same person captured by different and non-overlapping…

cs.CL2018

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining

Marco Passon, Marco Lippi, Giuseppe Serra +1

Internet users generate content at unprecedented rates. Building intelligent systems capable of discriminating useful content within this ocean of information is thus becoming a ur…