no code implementations • 29 Sep 2021 • Michael Danner, Muhammad Awais Tanvir Rana, Thomas Weber, Tobias Gerlach, Patrik Huber, Matthias Rätsch, Josef Kittler
Our experiments prove that human aesthetic judgements are usually biased.
no code implementations • 14 Mar 2018 • Zhen-Hua Feng, Patrik Huber, Josef Kittler, Peter JB Hancock, Xiao-Jun Wu, Qijun Zhao, Paul Koppen, Matthias Rätsch
To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as their 3D ground truth face scans.
6 code implementations • CVPR 2018 • Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao-Jun Wu
We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs).
Ranked #1 on
Face Alignment
on 300W
(NME_inter-pupil (%, Common) metric)
1 code implementation • 23 Aug 2017 • Anil Bas, Patrik Huber, William A. P. Smith, Muhammad Awais, Josef Kittler
In this paper, we show how a 3D Morphable Model (i. e. a statistical model of the 3D shape of a class of objects such as faces) can be used to spatially transform input data as a module (a 3DMM-STN) within a convolutional neural network.
no code implementations • 5 May 2017 • Zhen-Hua Feng, Josef Kittler, Muhammad Awais, Patrik Huber, Xiao-Jun Wu
The framework has four stages: face detection, bounding box aggregation, pose estimation and landmark localisation.
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 #15 on
Face Alignment
on AFLW-19
no code implementations • 1 Jun 2016 • Michael Grupp, Philipp Kopp, Patrik Huber, Matthias Rätsch
Face analysis techniques have become a crucial component of human-machine interaction in the fields of assistive and humanoid robotics.
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.
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.