Head pose estimation is an important way to understand human attention in the human-
computer interaction. In this paper, we propose a novel anisotropic angle distribution …

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 …

An accurate detection of soybean leaf disease in soybean field is essential for soybean
quality and the agricultural economy. Though many works have been done in identifying …

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 …

In this paper, we propose head pose estimation using deep neural networks and 3D point
cloud. Unlike existing methods that either take 2D RGB image or 2D depth image as input …

Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …

Head pose estimation from RGB images without depth information is a challenging task due
to the loss of spatial information as well as large head pose variations in the wild. The …

Learning from a label distribution has achieved promising results on ordinal regression
tasks such as facial age and head pose estimation wherein, the concept of adaptive label …

Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …

Head pose estimation is an important task in many real-world applications. Since the facial
landmarks usually serve as the common input that is shared by multiple downstream tasks …