Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

In recent years, face forgery detectors have aroused great interest and achieved impressive
performance, but they are still struggling with generalization and robustness. In this work, we …

Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …

With the continuous development of deep learning in the field of image generation models, a
large number of vivid forged faces have been generated and spread on the Internet. These …

With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

Deepfake detection has attracted increasing attention in recent years. In this paper, we
propose a transformer-based framework with feature compensation and aggregation (Trans …

Detecting and grounding multi-modal media manipulation (DGM^ 4) has become
increasingly crucial due to the widespread dissemination of face forgery and text …

With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …

Visible-Infrared person re-identification is challenging due to the large modality gap. To
bridge the gap, most studies heavily rely on the correlation of visible-infrared holistic person …

Advanced manipulation techniques have provided criminals with opportunities to make
social panic or gain illicit profits through the generation of deceptive media, such as forgery …