Objective functions for training of deep networks for face-related recognition tasks, such as
facial expression recognition (FER), usually consider each sample independently. In this …

Regression based facial landmark detection methods usually learns a series of regression
functions to update the landmark positions from an initial estimation. Most of existing …

Face alignment is the process of determining a face shape given its location and size in an
image. It is used as a basis for other facial analysis tasks and for human-machine interaction …

In this work, we introduce a novel R ecurrent A ttentive-R efinement (RAR) network for facial
landmark detection under unconstrained conditions, suffering from challenges like facial …

We present a practical approach to address the problem of unconstrained face alignment for
a single image. In our unconstrained problem, we need to deal with large shape and …

We propose a novel recurrent encoder-decoder network model for real-time video-based
face alignment. Our proposed model predicts 2D facial point maps regularized by a …

Over the last two decades, face alignment or localizing fiducial facial points on 2D images
has received increasing attention owing to its comprehensive applications in automatic face …

In this paper, we propose a novel unsupervised optical remote sensing change detection
(CD) based on pre-trained convolutional neural network (CNN) on ImageNet dataset and …

Facial landmark localization plays a critical role in face recognition and analysis. In this
paper, we propose a novel cascaded backbone-branches fully convolutional neural network …

Facial landmark localization is important to many facial recognition and analysis tasks, such
as face attributes analysis, head pose estimation, 3D face modeling, and facial expression …