In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

We present a novel one-shot talking head synthesis method that achieves disentangled and
fine-grained control over lip motion, eye gaze&blink, head pose, and emotional expression …

Portrait Animation aims to synthesize a lifelike video from a single source image, using it as
an appearance reference, with motion (ie, facial expressions and head pose) derived from a …

We introduce a novel framework for one-shot audio-driven talking head generation. Unlike
prior works that require additional driving sources for controlled synthesis in a deterministic …

Deep regression models typically learn in an end-to-end fashion without explicitly
emphasizing a regression-aware representation. Consequently, the learned representations …

Gaze estimation, which has a wide range of applications in many scenarios, is a challenging
task due to various unconstrained conditions. As information from both full-face and eye …

Deep regression models typically learn in an end-to-end fashion and do not explicitly try to
learn a regression-aware representation. Their representations tend to be fragmented and …

In this letter, we propose a new method, Multi-Clue Gaze (MCGaze), to facilitate video gaze
estimation via capturing spatial-temporal interaction context among head, face, and eye in …

Driver Monitoring Systems (DMS) enable Intelligent Vehicles to capture the in-cabin scene
and help determine the driver's level of attention and ability to take over. The task of driver …

With the continuous development of generative models on face generation, how to
distinguish the real and fake face has become an important problem for security. Because of …