Automated human pose estimation is evolving as an exciting research area in human
activity detection. It includes sophisticated applications such as malpractice detection in the …

Deep neural networks are used for a wide range of regression problems. However, there
exists a significant gap in accuracy between specialized approaches and generic direct …

Existing head pose estimation (HPE) mainly focuses on single person with pre-detected
frontal heads, which limits their applications in real complex scenarios with multi-persons …

Head pose estimation is not only a crucial challenge for many real-world applications, such
as driver attention detection analysis, but it represents an interesting strategy to support …

Head pose estimation is a crucial challenge for many real-world applications, such as
attention and human behavior analysis. This paper aims to estimate head pose from a single …

Head pose estimation plays a critical role in various real-world applications, such as human-
computer interaction for detecting human attention and enhancing biometric frameworks …