Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …

Although tremendous strides have been made in uncontrolled face detection, efficient face
detection with a low computation cost as well as high precision remains an open challenge …

Modern face alignment methods have become quite accurate at predicting the locations of
facial landmarks, but they do not typically estimate the uncertainty of their predicted locations …

This work studies learning from a synergy process of 3D Morphable Models (3DMM) and 3D
facial landmarks to predict complete 3D facial geometry, including 3D alignment, face …

From holistic low-dimension feature-based segmentation to deep polynomial neural
networks, Face Recognition (FR) accuracy has increased dramatically since its early days …

Recently, heatmap regression models have become popular due to their superior
performance in locating facial landmarks. However, three major problems still exist among …

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 …

Abstract Face representation using Deep Convolutional Neural Network (DCNN)
embedding is the method of choice for face recognition. Current state-of-the-art face …

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 …

The de facto algorithm for facial landmark estimation involves running a face detector with a
subsequent deformable model fitting on the bounding box. This encompasses two basic …