Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Prior work in hardware prefetching has focused mostly on either predicting regular streams
with uniform strides, or predicting irregular access patterns at the cost of large hardware …

This paper introduces a deep neural network based method, ie, DeepOrganNet, to generate
and visualize fully high-fidelity 3D/4D organ geometric models from single-view medical …

Abstract Background The advancements of Artificial Intelligence, Big Data Analytics, and the
Internet of Things paved the path to the emergence and use of Digital Twins (DTs) as …

In recent years, researchers have made significant contributions to 3D face reconstruction
with the rapid development of deep learning. However, learning-based methods often suffer …

Abstract 3D physical head capture has many applications for headwear and facewear
design. However, the existing methods, usually using commercial scanners, are not cheap …

Nowadays, more and more places need authentication. Face recognition is a mature
technology for identity verification research. Recognition accuracy is an important indicator …

Modelling of the development of facial morphology during childhood and adolescence is
highly useful in forensic and biomedical practice. However, most studies in this area fail to …

Facial expression modeling is important for many applications such as human emotional
analysis and facial animation. Generally, facial expression modeling from single 2D facial …

Abstract Background and Objective Head and facial mimic animations play important roles
in various fields such as human-machine interactions, internet communications, multimedia …