In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …

Heatmap regression methods have dominated face alignment area in recent years while
they ignore the inherent relation between different landmarks. In this paper, we propose a …

Recently, deep learning-based facial landmark detection has achieved significant
improvement. However, the semantic ambiguity problem degrades detection performance …

Accurate facial landmarks are essential prerequisites for many tasks related to human faces.
In this paper, an accurate facial landmark detector is proposed based on cascaded …

Dense facial landmark detection is one of the key elements of face processing pipeline. It is
used in virtual face reenactment, emotion recognition, driver status tracking, etc. Early …

Radiological images such as computed tomography (CT) and X-rays render anatomy with
intrinsic structures. Being able to reliably locate the same anatomical structure across …

Cascaded computation, whereby predictions are recurrently refined over several stages, has
been a persistent theme throughout the development of landmark detection models. In this …

With the comprehensive research conducted on various face analysis tasks, there is a
growing interest among researchers to develop a unified approach to face perception …

Automated segmentation of brain glioma plays an active role in diagnosis decision,
progression monitoring and surgery planning. Based on deep neural networks, previous …

Neural networks for facial landmark detection are notoriously limited to a fixed set of
landmarks in a dedicated layout, which must be specified at training time. Dedicated …