High quality face editing in videos is a growing concern and spreads distrust in video
content. However, upon closer examination, many face editing algorithms exhibit artifacts …

Due to the reduction of technological costs and the increase of satellite launches, satellite
images are becoming more popular and easier to obtain. Besides serving benevolent …

Fake detection has become an urgent task. Generative adversarial networks (GANs)
extended to deep learning has shown its extraordinary ability in the fields of image, audio …

Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer
vision image classification tasks that required visual inspection in the past (eg, object …

Quantization plays a pivotal role in JPEG compression with respect to the tradeoff between
image fidelity and storage size, and the blind estimation of quantization parameters has …

Recent advances in generative models and the availability of large-scale benchmarks have
made deepfake video generation and manipulation easier. Nowadays, the number of new …

Recent progress in deep learning, in particular the generative models, makes it easier to
synthesize sophisticated forged faces in videos, leading to severe threats on social media …

The JPEG compression algorithm has proven to be efficient in saving storage and
preserving image quality thus becoming extremely popular. On the other hand, the overall …

Convolutional Neural Networks (CNNs) have been the state of the art in many applications,
including computer vision and multimedia forensics. Translation invariance is often included …

JPEG-domain enhancement improves the visual quality of JPEG images by directly
manipulating the decoded DCT (discrete cosine transform) coefficients, which inevitably …