Portrait customization (PC) has recently garnered significant attention due to its potential
applications. However, existing PC methods lack precise identity (ID) preservation and face …

Head pose estimation (HPE) has been extensively investigated over the past decade due to
its wide range of applications across several domains of artificial intelligence (AI), resulting …

This paper studies how to synthesize face images of non-existent persons, to create a
dataset that allows effective training of face recognition (FR) models. Two important goals …

Human head detection, keypoint estimation, and 3D head model fitting are important tasks
with many applications. However, traditional real-world datasets often suffer from bias …

We introduce a novel framework for representation learning in head pose estimation (HPE).
Previously such a scheme was difficult due to head pose data sparsity, making triplet …

Deep learning has been impressively successful in the last decade in predicting human
head poses from monocular images. However, for in-the-wild inputs the research community …

Head pose estimation (HPE) can be used in sign language linguistics and gesture studies,
particularly for quantitative assessment of head movements in terms of yaw, pitch, and roll …

Background/aim: Acromegaly is a rare disease caused by a pituitary tumor secreting excess
growth hormone, which leads to acral growth, organ enlargement, and facial changes …

In the context of AI-enabled education, this paper seeks to improve the accuracy of
evaluating learning statuses in classroom through the design and improvement of deep …

Motion analysis utilizing human pose estimation has garnered increasing attention within
sports science, serving both preventive medicine and skill enhancement purposes. While …