With the development of artificial intelligence technology, intelligent machines are
increasingly equipped with human-like abilities such as autonomous decision-making …

Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …

Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing
industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of …

Fine-grained bird image classification (FBIC) is not only meaningful for endangered bird
observation and protection but also a prevalent task for image classification in multimedia …

Human pose estimation (HPE) has many wide applications such as multimedia processing,
behavior understanding and human-computer interaction. Most previous studies have …

Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …

Pruning is a useful technique for decreasing the memory consumption and floating point
operations (FLOPs) of deep convolutional neural network (CNN) models. Nevertheless, at …

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 …

Abstract Domain adaptation methods for 2D human pose estimation typically require
continuous access to the source data during adaptation, which can be challenging due to …

Sequential recommendation systems aim to predict the future behaviors of users based on
their historical interactions. Despite the success of neural architectures like Transformer and …