Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

Although automatic gaze estimation is very important to a large variety of application areas,
it is difficult to train accurate and robust gaze models, in great part due to the difficulty in …

As an indicator of human attention gaze is a subtle behavioral cue which can be exploited in
many applications. However, inferring 3D gaze direction is challenging even for deep neural …

Our goal with this survey is to provide an overview of the state of the art deep learning
methods for face generation and editing using StyleGAN. The survey covers the evolution of …

Interacting with people across large distances is important for remote work, interpersonal
relationships, and entertainment. While such face-to-face interactions can be achieved using …

Learning-based gaze estimation methods require large amounts of training data with
accurate gaze annotations. Facing such demanding requirements of gaze data collection …

Communication software such as Clubhouse and Zoom has evolved to be an integral part of
many people's daily lives. However, due to network bandwidth constraints and concerns …

Generating face image with specific gaze information has attracted considerable attention in
recent years. Existing approaches typically input gaze values directly for face generation …

Jet fuel pipeline leakage will cause environmental pollution and safety-related accidents;
therefore, the leak detection of jet fuel pipeline is a crucial for pipeline management …

We address the problem of unsupervised gaze correction in the wild, presenting a solution
that works without the need of precise annotations of the gaze angle and the head pose. We …