Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …

To meet the demand for powerful models for practical applications in real time, the focus of
research on human actions has shifted from offline detection to online and real-time …

The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …

The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …

Event classification (EC) aims to assign the event labels to unlabeled sentences and tends
to struggle in real-world applications when only a few annotated samples are available …

Event detection from social media aims at extracting specific or generic unusual
happenings, such as, family reunions, earthquakes, and disease outbreaks, among others …

With the development of the Mobile Internet, more and more people create and release multi-
modal posts on social media platforms. Fake news detection has become an increasingly …

With the rapid development of Internet and the expanding scale of social media, social event
classification has attracted increasing attention. The key to social event classification is …