Guosheng Hu (胡国圣)
Guosheng Hu (胡国圣)
AnyVision & Queen's University Belfast
Verified email at - Homepage
Cited by
Cited by
When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition
G Hu, Y Yang, D Yi, J Kittler, W Christmas, SZ Li, T Hospedales
Proceedings of the IEEE international conference on computer vision …, 2015
A multiresolution 3d morphable face model and fitting framework
P Huber, G Hu, R Tena, P Mortazavian, P Koppen, WJ Christmas, ...
Proceedings of the 11th International Joint Conference on Computer Vision …, 2016
Frankenstein: Learning deep face representations using small data
G Hu, X Peng, Y Yang, TM Hospedales, J Verbeek
IEEE Transactions on Image Processing 27 (1), 293-303, 2017
Cascaded collaborative regression for robust facial landmark detection trained using a mixture of synthetic and real images with dynamic weighting
ZH Feng, G Hu, J Kittler, W Christmas, XJ Wu
IEEE Transactions on Image Processing 24 (11), 3425-3440, 2015
Ranked list loss for deep metric learning
X Wang, Y Hua, E Kodirov, G Hu, R Garnier, NM Robertson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Attribute-enhanced face recognition with neural tensor fusion networks
G Hu, Y Hua, Y Yuan, Z Zhang, Z Lu, SS Mukherjee, TM Hospedales, ...
Proceedings of the IEEE International Conference on Computer Vision, 3744-3753, 2017
Face recognition using a unified 3D morphable model
G Hu, F Yan, CH Chan, W Deng, W Christmas, J Kittler, NM Robertson
European Conference on Computer Vision, 73-89, 2016
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
Attention-based two-stream convolutional networks for face spoofing detection
H Chen, G Hu, Z Lei, Y Chen, NM Robertson, SZ Li
IEEE Transactions on Information Forensics and Security 15, 578-593, 2019
Deep metric learning by online soft mining and class-aware attention
X Wang, Y Hua, E Kodirov, G Hu, NM Robertson
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5361-5368, 2019
Dictionary integration using 3D morphable face models for pose-invariant collaborative-representation-based classification
X Song, ZH Feng, G Hu, J Kittler, XJ Wu
IEEE Transactions on Information Forensics and Security 13 (11), 2734-2745, 2018
Half-face dictionary integration for representation-based classification
X Song, ZH Feng, G Hu, XJ Wu
IEEE transactions on cybernetics 47 (1), 142-152, 2015
Robust face recognition by an albedo based 3D morphable model
G Hu, CH Chan, F Yan, W Christmas, J Kittler
IEEE International Joint Conference on Biometrics, 1-8, 2014
Semantic alignment: Finding semantically consistent ground-truth for facial landmark detection
Z Liu, X Zhu, G Hu, H Guo, M Tang, Z Lei, NM Robertson, J Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Deep multi-task learning to recognise subtle facial expressions of mental states
G Hu, L Liu, Y Yuan, Z Yu, Y Hua, Z Zhang, F Shen, L Shao, ...
Proceedings of the European Conference on Computer Vision (ECCV), 103-119, 2018
Grid resources prediction with support vector regression and particle swarm optimization
G Hu, L Hu, H Li, K Li, W Liu
2010 Third International Joint Conference on Computational Science and …, 2010
Collaborative representation based face classification exploiting block weighted LBP and analysis dictionary learning
X Song, Y Chen, ZH Feng, G Hu, T Zhang, XJ Wu
Pattern Recognition 88, 127-138, 2019
Deep stock representation learning: From candlestick charts to investment decisions
G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu, N Robertson, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
Face analysis using 3D morphable models.
G Hu
University of Surrey, 2015
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