78 citations · 283 across the 39 of their papers we have counts for
9 papers · 2 filters
Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study
Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou +1
Exposure to disturbing imagery can significantly impact individuals, especially professionals who encounter such content as part of their work. This paper presents a user study, in…
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…
The 2023 Video Similarity Dataset and Challenge
Ed Pizzi, Giorgos Kordopatis-Zilos, Hiral Patel +6
This work introduces a dataset, benchmark, and challenge for the problem of video copy detection and localization. The problem comprises two distinct but related tasks: determining…
Improving Synthetically Generated Image Detection in Cross-Concept Settings
Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris +1
New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyp…
Investigation of ensemble methods for the detection of deepfake face manipulations
Nikolaos Giatsoglou, Symeon Papadopoulos, Ioannis Kompatsiaris
The recent wave of AI research has enabled a new brand of synthetic media, called deepfakes. Deepfakes have impressive photorealism, which has generated exciting new use cases but…
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…
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…
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…
Self-Supervised Video Similarity Learning
Giorgos Kordopatis-Zilos, Giorgos Tolias, Christos Tzelepis +3
We introduce SVS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to hav…