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The state-of-the-art of face recognition has been significantly advanced by the emergence of deep learning.
Labeled Faces in the Wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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Rectified linear units improve restricted Boltzmann machines
V. Nair and G. E. Hinton · 2010
Earlier work this paper cites.
Bayesian face revisited: A joint formulation
D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun · 2012
Earlier work this paper cites.
Improving neural networks by preventing co-adaptation of feature detectors
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2012
Earlier work this paper cites.
A practical transfer learning algorithm for face verification
X. Cao, D. Wipf, F. Wen, and G. Duan · 2013
Earlier work this paper cites.
Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification
D. Chen, X. Cao, F. Wen, and J. Sun · 2013
Earlier work this paper cites.
Hybrid deep learning for face verification
Y. Sun, X. Wang, and X. Tang · 2013
Earlier work this paper cites.
Deep learning identity-preserving face space
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2013
Earlier work this paper cites.
Unconstrained face recognition: Identifying a person of interest from a media collection
L. Best-Rowden, H. Han, C. Otto, B. Klare, and A. K. Jain · 2014
Cited alongside, same era.
Surpassing human-level face verification performance on LFW with GaussianFace
C. Lu and X. Tang · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Deep learning face representation by joint identification-verification
Y. Sun, Y. Chen, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Deep learning face representation by joint identification-verification
Y. Sun, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
Later among the works it cites.
DeepFace: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Later among the works it cites.
Web-scale training for face identification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Later among the works it cites.
Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
Later among the works it cites.
Deep learning and disentangling face representation by multi-view perceptron
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2014
Later among the works it cites.
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Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Recover canonical-view faces in the wild with deep neural networks
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2014
Later among the works it cites.
Surpassing human-level face verification performance on LFW with GaussianFace
C. Lu and X. Tang · 2015
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