Deepfake video detection using recurrent neural networks
In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …
believable face swaps in videos that leaves few traces of manipulation, in what are known …
Faceforensics: A large-scale video dataset for forgery detection in human faces
With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …
with extremely realistic synthetic faces, even in real time. Countless applications are …
Unsupervised domain adaptation for face anti-spoofing
Face anti-spoofing (aka presentation attack detection) has recently emerged as an active
topic with great significance for both academia and industry due to the rapidly increasing …
topic with great significance for both academia and industry due to the rapidly increasing …
Learning generalized deep feature representation for face anti-spoofing
In this paper, we propose a novel framework leveraging the advantages of the
representational ability of deep learning and domain generalization for face spoofing …
representational ability of deep learning and domain generalization for face spoofing …
Distinguishing between natural and computer-generated images using convolutional neural networks
Distinguishing between natural images (NIs) and computer-generated (CG) images by
naked human eyes is difficult. In this paper, we propose an effective method based on a …
naked human eyes is difficult. In this paper, we propose an effective method based on a …
Exposing computer generated images by using deep convolutional neural networks
The recent computer graphics developments have upraised the quality of the generated
digital content, astonishing the most skeptical viewer. Games and movies have taken …
digital content, astonishing the most skeptical viewer. Games and movies have taken …