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 …
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in CV community. However, most algorithms are …
X Zhu, X Liu, Z Lei, SZ Li - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in the computer vision community. However, most …
J Zhang, M Liu, D Shen - IEEE Transactions on Image …, 2017 - ieeexplore.ieee.org
One of the major challenges in anatomical landmark detection, based on deep neural networks, is the limited availability of medical imaging data for network learning. To address …
This paper concerns the problem of facial landmark detection. We provide a unique new analysis of the features produced at intermediate layers of a convolutional neural network …
X Tu, J Zhao, M Xie, Z Jiang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
3D face reconstruction from a single image is an important task in many multimedia applications. Recent works typically learn a CNN-based 3D face model that regresses …
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 …
B Browatzki, C Wallraven - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
Current supervised methods for facial landmark detection require a large amount of training data and may suffer from overfitting to specific datasets due to the massive number of …
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 …