The task of facial landmark extraction is fundamental in several applications which involve
facial analysis, such as facial expression analysis, identity and face recognition, facial …

Facial action unit (AU) detection and face alignment are two highly correlated tasks, since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Facial action unit (AU) detection and face alignment are two highly correlated tasks since
facial landmarks can provide precise AU locations to facilitate the extraction of meaningful …

Semiology observation and characterization play a major role in the presurgical evaluation
of epilepsy. However, the interpretation of patient movements has subjective and intrinsic …

Face alignment and segmentation are challenging problems which have been extensively
studied in the field of multimedia. These two tasks are closely related and their learning …

Facial landmarks are highly correlated with each other since a certain landmark can be
estimated by its neighboring landmarks. Most of the existing deep learning methods only …

Identifying facial expressions is a difficult topic in the classifying of images. Lately, the
domain of image recognition, DL (Deep Learning) is gaining more attention. Our work," a …

Facial landmark detection plays a very important role in many facial analysis applications
such as identity recognition, facial expression analysis, facial animation, 3D face …

In this paper, we propose a weakly supervised landmark-region-based convolutional neural
network (LR-CNN) framework to detect facial component and landmark simultaneously …

In this paper, we propose a novel face alignment method using single deep network (SDN)
on existing limited training data. Rather than using a max-pooling layer followed one …