In this paper, we present supervision-by-registration, an unsupervised approach to improve
the precision of facial landmark detectors on both images and video. Our key observation is …

Facial feature detection algorithms have seen great progress over the recent years.
However, they still struggle in poor lighting conditions and in the presence of extreme pose …

Facial landmark detection is a fundamental task for many consumer and high-end
applications and is almost entirely solved by machine learning methods today. Existing …

There have been tremendous improvements for facial landmark detection on general" in-the-
wild" images. However, it is still challenging to detect the facial landmarks on images with …

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 …

We present a new approach to localize extensive facial landmarks with a coarse-to-fine
convolutional network cascade. Deep convolutional neural networks (DCNN) have been …

We propose a data-driven approach to facial landmark localization that models the
correlations between each landmark and its surrounding appearance features. At runtime …

Facial landmark detection aims to localize the anatomically defined points of human faces.
In this paper, we study facial landmark detection from partially labeled facial images. A …

Detection and tracking of faces in image sequences is among the most well studied
problems in the intersection of statistical machine learning and computer vision. Often …

We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …