activity
20192026
most citedEvaluation of Granger causality measures for constructing networks from multivariate time series

52 citations · 99 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 2 cited

FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44

Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…

cs.MM2023★ 3 cited

RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Online misinformation is often multimodal in nature, i.e., it is caused by misleading associations between texts and accompanying images. To support the fact-checking process, rese…

cs.LG2023

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning

Arjun Roy, Christos Koutlis, Symeon Papadopoulos +1

The generalisation capacity of Multi-Task Learning (MTL) suffers when unrelated tasks negatively impact each other by updating shared parameters with conflicting gradients. This is…

cs.CV2023★ 1 cited

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1

Deep learning-based person identification and verification systems have remarkably improved in terms of accuracy in recent years; however, such systems, including widely popular cl…

cs.CV2023★ 2 cited

MemeFier: Dual-stage Modality Fusion for Image Meme Classification

Christos Koutlis, Manos Schinas, Symeon Papadopoulos

Hate speech is a societal problem that has significantly grown through the Internet. New forms of digital content such as image memes have given rise to spread of hate using multim…

cs.CV2023

FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1

Bias in computer vision systems can perpetuate or even amplify discrimination against certain populations. Considering that bias is often introduced by biased visual datasets, many…

cs.CV2023★ 4 cited

VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and…

cs.MM2023

Synthetic Misinformers: Generating and Combating Multimodal Misinformation

Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1

With the expansion of social media and the increasing dissemination of multimedia content, the spread of misinformation has become a major concern. This necessitates effective stra…