12 accepted papers
Recent advances in editing technologies for 3D Gaussian Splatting (3DGS) have made it simple to manipulate 3D scenes. However, these technologies raise concerns about potential malicious manipulation of 3D content. To avoid such malicious applications, localizing tampered regions becomes crucial. In
In this paper, we design a new open-set method to detect deepfakes that does not assume information about the techniques behind the deepfakes generation. Contrary to existing methods, which build upon known telltales left by the deepfake creation process, we assume no prior knowledge about the sampl…
One of the major modern threats to society is the propagation of misinformation — fake news, science denialism, hate speech — fueled by social media’s widespread adoption. On the leading social platforms, millions of automated and fake profiles exist only for this purpose. One step to mitigate this…
Misleading or false information has been creating chaos in some places around the world. To mitigate this issue, many researchers have proposed automated fact-checking methods to fight the spread of fake news. However, most methods cannot explain the reasoning behind their decisions, failing to buil…
With the rapid growth of data sharing through social media networks, determining relevant data items concerning a particular subject becomes paramount. We address the issue of establishing which images represent an event of interest through a semi-supervised learning technique. The method learns con…
In the last few years, social media networks have changed human life experience and behavior as it has broken down communication barriers, allowing ordinary people to actively produce multimedia content on a massive scale. On this wise, the information dissemination in social media platforms becomes…
We live in a connected society in which no major event - from music concerts to terrorist attempts - happens without being recorded by a smartphone and shared instantly to the world. This flow of generated data is often unstructured and carries no reliable information with respect to time of capture…
Effective tools for detection of violence are highly demanded, specially when dealing with video streams. Such tools have a wide range of applications, from forensics and law enforcement to parental control over the ever increasing amount of videos available online. Prior studies showed that deep le…
The world is facing a new era in which social media communication plays a fundamental role in people's lives. Along with irrefutable benefits, several collateral drawbacks have risen, one being the wide spread of false information with malicious intents, what is now commonly called "Fake News". The…
CCTVs have since long been used to enforce security, e.g. to detect fights arising from many different situations. But their effectiveness is questionable, because they rely on continuous and specialized human supervision, demanding automated solutions. Previous work are either too superficial (clas…
Predicting the performance of queries when labels are not present has been a recurring problem faced in information retrieval systems. Beyond its clear importance, it can also be applied to aid post-retrieval optimization approaches such as re-ranking or rank-aggregation. However, most post-retrieva…
Violence detection in videos aims to identify whether a violent action occurred within a video stream. Effective tools for intelligent video analysis are highly demanded, specially to determine violence in video streams. Such solution could have applications in detecting inappropriate behaviors in v…