The introduction of publicly available large-scale datasets and advances in generative
adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial …

As wearing face masks is becoming an embedded practice due to the COVID-19 pandemic,
facial expression recognition (FER) that takes face masks into account is now a problem that …

Facial attribute analysis has received considerable attention when deep learning techniques
made remarkable breakthroughs in this field over the past few years. Deep learning based …

There has been a prominent emergence of work on video prediction, aiming to extrapolate
the future video frames from the past. Existing temporal-based methods are limited to certain …

Automatic synthesis of faces from visual attributes is an important problem in computer
vision and has wide applications in law enforcement and entertainment. With the advent of …

Makeup studies have recently caught much attention in computer version. Two of the typical
tasks are makeup-invariant face verification and makeup transfer. Although having …

In this paper, we propose a Face Segmentor-Enhanced Network (FSENet) for face
recognition to exploit facial localized property. Most existing methods emphasize the holistic …

With the increasing variations of face presentation attacks, model generalization becomes
an essential challenge for a practical face anti-spoofing system. This paper presents a …

The explosive growth of social media means portrait editing and retouching are in high
demand. While portraits are commonly captured and stored as raster images, editing raster …

Generative adversarial networks (GANs) have demonstrated great success in generating
various visual content. However, images generated by existing GANs are often of attributes …