output
20042026
most citedA Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

232 citations

Showing cs.CVShow all

32 papers · 1 filter

cs.CV2025

"Humor, Art, or Misinformation?": A Multimodal Dataset for Intent-Aware Synthetic Image Detection

Anastasios Skoularikis, Stefanos-Iordanis Papadopoulos, Symeon Papadopoulos +1

Recent advances in multimodal AI have enabled progress in detecting synthetic and out-of-context content. However, existing efforts largely overlook the intent behind AI-generated…

cs.CV2025

Improving Generalization in Deepfake Detection with Face Foundation Models and Metric Learning

Stelios Mylonas, Symeon Papadopoulos

The increasing realism and accessibility of deepfakes have raised critical concerns about media authenticity and information integrity. Despite recent advances, deepfake detection…

cs.CV2025

Composite Data Augmentations for Synthetic Image Detection Against Real-World Perturbations

Efthymia Amarantidou, Christos Koutlis, Symeon Papadopoulos +1

The advent of accessible Generative AI tools enables anyone to create and spread synthetic images on social media, often with the intention to mislead, thus posing a significant th…

cs.CV2025★ 1 cited

HAL-NeRF: High Accuracy Localization Leveraging Neural Radiance Fields

Asterios Reppas, Grigorios-Aris Cheimariotis, Panos K. Papadopoulos +2

Precise camera localization is a critical task in XR applications and robotics. Using only the camera captures as input to a system is an inexpensive option that enables localizati…

cs.CV2025★ 1 cited

P-TAME: Explain Any Image Classifier with Trained Perturbations

Mariano V. Ntrougkas, Vasileios Mezaris, Ioannis Patras

The adoption of Deep Neural Networks (DNNs) in critical fields where predictions need to be accompanied by justifications is hindered by their inherent black-box nature. In this pa…

cs.CV2024★ 2 cited

FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1

EXplainable Artificial Intelligence (XAI) approaches are widely applied for identifying fairness issues in Artificial Intelligence (AI) systems. However, in the context of facial a…