Facial landmark detection: A literature survey

Y Wu, Q Ji - International Journal of Computer Vision, 2019‏ - Springer
The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

Automatic analysis of facial actions: A survey

B Martinez, MF Valstar, B Jiang… - IEEE transactions on …, 2017‏ - ieeexplore.ieee.org
As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …

Towards fast, accurate and stable 3d dense face alignment

J Guo, X Zhu, Y Yang, F Yang, Z Lei, SZ Li - European Conference on …, 2020‏ - Springer
Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …

Deep high-resolution representation learning for visual recognition

J Wang, K Sun, T Cheng, B Jiang… - IEEE transactions on …, 2020‏ - ieeexplore.ieee.org
High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …

High-resolution representations for labeling pixels and regions

K Sun, Y Zhao, B Jiang, T Cheng, B **ao, D Liu… - arxiv preprint arxiv …, 2019‏ - arxiv.org
High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …

Whole-body human pose estimation in the wild

S **, L Xu, J Xu, C Wang, W Liu, C Qian… - … on Computer Vision, 2020‏ - Springer
This paper investigates the task of 2D human whole-body pose estimation, which aims to
localize dense landmarks on the entire human body including face, hands, body, and feet …

How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)

A Bulat, G Tzimiropoulos - Proceedings of the IEEE …, 2017‏ - openaccess.thecvf.com
This paper investigates how far a very deep neural network is from attaining close to
saturating performance on existing 2D and 3D face alignment datasets. To this end, we …

Look at boundary: A boundary-aware face alignment algorithm

W Wu, C Qian, S Yang, Q Wang… - Proceedings of the …, 2018‏ - openaccess.thecvf.com
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as
the geometric structure of a human face to help facial landmark localisation. Unlike the …

Openface: an open source facial behavior analysis toolkit

T Baltrušaitis, P Robinson… - 2016 IEEE winter …, 2016‏ - ieeexplore.ieee.org
Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Wing loss for robust facial landmark localisation with convolutional neural networks

ZH Feng, J Kittler, M Awais… - Proceedings of the …, 2018‏ - openaccess.thecvf.com
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 …