This paper presents a real-time face detector, named Single Shot Scale-invariant Face
Detector (S3FD), which performs superiorly on various scales of faces with a single deep …

Face detection and alignment in unconstrained environment are challenging due to various
poses, illuminations, and occlusions. Recent studies show that deep learning approaches …

Although tremendous strides have been made in face detection, one of the remaining open
challenges is to achieve real-time speed on the CPU as well as maintain high performance …

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 …

Robust face detection in the wild is one of the ultimate components to support various facial
related problems, ie, unconstrained face recognition, facial periocular recognition, facial …

We present DAD-3DHeads, a dense and diverse large-scale dataset, and a robust model for
3D Dense Head Alignment in-the-wild. It contains annotations of over 3.5 K landmarks that …

Cascade has been widely used in face detection, where classifier with low computation cost
can be firstly used to shrink most of the background while kee** the recall. The cascade in …

Image landmark detection aims to automatically identify the locations of predefined fiducial
points. Despite recent success in this field, higher-ordered structural modeling to capture …

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 …

Face detection has achieved significant progress in recent years. However, high
performance face detection still remains a very challenging problem, especially when there …