When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …

Micro-expression is a kind of facial feature that reflects the most real emotional state hidden
in the human heart. Most of the existing micro-expression recognition methods are based on …

Although for many diseases there is a progressive diagnosis scale, automatic analysis of
grade-based medical images is quite often addressed as a binary classification problem …

Speech emotion recognition (SER) is a non-trivial task for humans, while it remains
challenging for automatic SER due to the linguistic complexity and contextual distortion …

Face Age Progression (FAP) refers to synthesizing face images while simulating ageing
effects, thus enabling predicting the future appearance of an individual. The generation of …

Micro-expressions (MEs) are spontaneous, unconscious facial expressions that have
promising applications in various fields such as psychotherapy and national security. Thus …

Face aging has received increasing attention from the computer vision community due to
wide applications in the real world. Age accuracy and identity preserving are two important …

We propose Improved SSGAN, a multi-Generator/Discriminator semi-supervised GAN
architecture to address the well-known problem of mode collapse in addition to an improved …

Multimedia face images appear in social networks, digital entertainment, and other
applications, exhibiting dramatic pose, illumination, and expression variations, resulting in …

The existing generative steganography methods have the limitations of the low capacity and
poor stego quality. The target image which are served as guidance features and used to …