Patrik Huber
Patrik Huber
Department of Computer Science, University of York, UK
Verified email at - Homepage
Cited by
Cited by
A Multiresolution 3D Morphable Face Model and Fitting Framework
P Huber, G Hu, R Tena, P Mortazavian, WP Koppen, W Christmas, ...
International Conference on Computer Vision Theory and Applications (VISAPP …, 2015
Wing loss for robust facial landmark localisation with convolutional neural networks
ZH Feng, J Kittler, M Awais, P Huber, XJ Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Random Cascaded-Regression Copse for Robust Facial Landmark Detection
ZH Feng, P Huber, J Kittler, W Christmas, XJ Wu
IEEE Signal Processing Letters 22 (1), 2015
Fitting 3D Morphable Face Models using Local Features
P Huber, ZH Feng, W Christmas, J Kittler, M Rätsch
IEEE International Conference on Image Processing (ICIP) 2015, 2015
Dynamic attention-controlled cascaded shape regression exploiting training data augmentation and fuzzy-set sample weighting
ZH Feng, J Kittler, W Christmas, P Huber, XJ Wu
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Report on the FG 2015 video person recognition evaluation
JR Beveridge, H Zhang, BA Draper, PJ Flynn, Z Feng, P Huber, J Kittler, ...
2015 11th IEEE international conference and workshops on Automatic Face and …, 2015
Face detection, bounding box aggregation and pose estimation for robust facial landmark localisation in the wild
ZH Feng, J Kittler, M Awais, P Huber, XJ Wu
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Efficient 3D morphable face model fitting
G Hu, F Yan, J Kittler, W Christmas, CH Chan, Z Feng, P Huber
Pattern Recognition 67, 366-379, 2017
3D morphable face models and their applications
J Kittler, P Huber, ZH Feng, G Hu, W Christmas
International Conference on Articulated Motion and Deformable Objects, 185-206, 2016
3D morphable models as spatial transformer networks
A Bas, P Huber, WAP Smith, M Awais, J Kittler
Proceedings of the IEEE International Conference on Computer Vision …, 2017
Real-time 3D face fitting and texture fusion on in-the-wild videos
P Huber, P Kopp, W Christmas, M Rätsch, J Kittler
IEEE Signal Processing Letters 24 (4), 437-441, 2017
Evaluation of dense 3D reconstruction from 2D face images in the wild
ZH Feng, P Huber, J Kittler, P Hancock, XJ Wu, Q Zhao, P Koppen, ...
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
Wavelet reduced support vector regression for efficient and robust head pose estimation
M Rätsch, P Quick, P Huber, T Frank, T Vetter
Computer and Robot Vision (CRV), 2012 Ninth Conference on, 260-267, 2012
Conformal mapping of a 3D face representation onto a 2D image for CNN based face recognition
J Kittler, P Koppen, P Kopp, P Huber, M Rätsch
2018 International Conference on Biometrics (ICB), 124-131, 2018
Fusion of tracking techniques to enhance adaptive real-time tracking of arbitrary objects
P Poschmann, P Huber, M Rätsch, J Kittler, HJ Böhme
Procedia Computer Science 39, 162-165, 2014
A 3D face modelling approach for pose-invariant face recognition in a human-robot environment
M Grupp, P Kopp, P Huber, M Rätsch
Robot World Cup, 121-134, 2016
Real-time 3D morphable shape model fitting to monocular in-the-wild videos
P Huber
PQDT-Global, 2017
Real-time 3D face super-resolution from monocular in-the-wild videos
P Huber, W Christmas, A Hilton, J Kittler, M Rätsch
ACM SIGGRAPH 2016 Posters, 1-2, 2016
Texture-based 3D Face Recognition using Deep Neural Networks for unconstrained Human-Machine Interaction
M Danner, M Raetsch, P Huber, M Awais, Z Feng, J Kittler
Proceedings of the 15th International Joint Conference on Computer Vision …, 2019
Bottom-up and Top-down Face Analysis based on 3D Face Models
P Huber, J Kittler, M Rätsch
Informatics Inside, Human-Centered Computing, Reutlingen, Germany, 138-140, 2014
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