Gandiffface: Controllable generation of synthetic datasets for face recognition with realistic variations
Face recognition systems have significantly advanced in recent years, driven by the
availability of large-scale datasets. However, several issues have recently came up …
availability of large-scale datasets. However, several issues have recently came up …
Radiant: Better rppg estimation using signal embeddings and transformer
Remote photoplethysmography can provide non-contact heart rate (HR) estimation by
analyzing the skin color variations obtained from face videos. These variations are subtle …
analyzing the skin color variations obtained from face videos. These variations are subtle …
MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection
A Yadav, DK Vishwakarma - Expert Systems with Applications, 2023 - Elsevier
With the growing popularity of social media and an outburst of malicious tampering methods,
it has become easier than ever to mislead others and create disharmony in society by …
it has become easier than ever to mislead others and create disharmony in society by …
Learning patch-channel correspondence for interpretable face forgery detection
Beyond high accuracy, good interpretability is very critical to deploy a face forgery detection
model for visual content analysis. In this paper, we propose learning patch-channel …
model for visual content analysis. In this paper, we propose learning patch-channel …
A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends
W El-Shafai, MA Fouda, ESM El-Rabaie… - Multimedia Tools and …, 2024 - Springer
Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
A 3D-CAE-CNN model for Deep Representation Learning of 3D images
E Pintelas, P Pintelas - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Deep Representation Learning technologies based on supervised Convolutional
Neural Networks (CNNs) have attained significant interest mainly due to their superior …
Neural Networks (CNNs) have attained significant interest mainly due to their superior …
Multi-attention-based approach for deepfake face and expression swap detection and localization
Advancements in facial manipulation technology have resulted in highly realistic and
indistinguishable face and expression swap videos. However, this has also raised concerns …
indistinguishable face and expression swap videos. However, this has also raised concerns …
Engaging with deepfakes: a meta-synthesis from the perspective of social shaping of technology theory
PN Vasist, S Krishnan - Internet Research, 2023 - emerald.com
Purpose This study aims to establish a comprehensive understanding of the intricacies of
how individuals engage with deepfakes, focusing on limiting adverse effects and capitalizing …
how individuals engage with deepfakes, focusing on limiting adverse effects and capitalizing …
Analysis of score-level fusion rules for deepfake detection
Deepfake detection is of fundamental importance to preserve the reliability of multimedia
communications. Modern deepfake detection systems are often specialized on one or more …
communications. Modern deepfake detection systems are often specialized on one or more …
High-compressed deepfake video detection with contrastive spatiotemporal distillation
Deepfake detection in high-resolution videos has made significant progress in recent years,
but detecting high-compressed deepfake videos remains challenging due to the low quality …
but detecting high-compressed deepfake videos remains challenging due to the low quality …