Head pose estimation suffers from several problems, including low pose tolerance under
different disturbances and ambiguity arising from common head pose representation. In this …

This paper proposes a method for head pose estimation from a single image. Previous
methods often predict head poses through landmark or depth estimation and would require …

Head pose estimation (HPE) is an indispensable upstream task in the fields of human-
machine interaction, self-driving, and attention detection. However, practical head pose …

Facial expression recognition (FER) is a challenging task due to different expressions under
arbitrary poses. Most conventional approaches either perform face frontalization on a non …

The task of facial landmark extraction is fundamental in several applications which involve
facial analysis, such as facial expression analysis, identity and face recognition, facial …

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …

Head pose estimation (HPE) has been widely used in the fields of human machine
interaction, self-driving, and attention estimation. However, existing methods cannot deal …

We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …

We present an end-to-end head-pose estimation network designed to predict Euler angles
through the full range head yaws from a single RGB image. Existing methods perform well …

Driven by recent advances in human-centered computing, Facial Expression Recognition
(FER) has attracted significant attention in many applications. However, most conventional …