no code implementations • 30 Dec 2016 • Zhen-Hua Feng, Josef Kittler, William Christmas, Xiao-Jun Wu
To deal with this challenge, we present a Unified Tensor-based Active Appearance Model (UT-AAM) for jointly modelling the geometry and texture information of 2D faces.
no code implementations • CVPR 2017 • Zhen-Hua Feng, Josef Kittler, William Christmas, Patrik Huber, Xiao-Jun Wu
We present a new Cascaded Shape Regression (CSR) architecture, namely Dynamic Attention-Controlled CSR (DAC-CSR), for robust facial landmark detection on unconstrained faces.
Ranked #18 on Face Alignment on AFLW-19
no code implementations • 1 Nov 2016 • Xiaoning Song, Zhen-Hua Feng, Guosheng Hu, Josef Kittler, William Christmas, Xiao-Jun Wu
The paper presents a dictionary integration algorithm using 3D morphable face models (3DMM) for pose-invariant collaborative-representation-based face classification.
no code implementations • 22 May 2016 • Patrik Huber, Philipp Kopp, Matthias Rätsch, William Christmas, Josef Kittler
We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos.
1 code implementation • 1 Feb 2016 • Patrik Huber, Guosheng Hu, Rafael Tena, Pouria Mortazavian, Willem P. Koppen, William Christmas, Matthias Rätsch, Josef Kittler
In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes.
no code implementations • 9 Apr 2015 • Guosheng Hu, Yongxin Yang, Dong Yi, Josef Kittler, William Christmas, Stan Z. Li, Timothy Hospedales
In this work, we conduct an extensive evaluation of CNN-based face recognition systems (CNN-FRS) on a common ground to make our work easily reproducible.
1 code implementation • 8 Mar 2015 • Patrik Huber, Zhen-Hua Feng, William Christmas, Josef Kittler, Matthias Rätsch
Our approach is unique in that we are the first to use local features to fit a Morphable Model.