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Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently.
Face recognition using eigenfaces
M. A. Turk and A. P. Pentland · 1991
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Face recognition with local binary patterns
T. Ahonen, A. Hadid, and M. Pietikäinen · 2004
Earlier work this paper cites.
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
Earlier work this paper cites.
Learning multi-scale block local binary patterns for face recognition
S. Liao, X. Zhu, Z. Lei, L. Zhang, and S. Z. Li · 2007
Earlier work this paper cites.
Recognition of blurred faces using local phase quantization
T. Ahonen, E. Rahtu, V. Ojansivu, and J. Heikkila · 2008
Earlier work this paper cites.
Is that you? metric learning approaches for face identification
M. Guillaumin, J. Verbeek, and C. Schmid · 2009
Earlier work this paper cites.
Multiple one-shots for utilizing class label information
Y. Taigman, L. Wolf, T. Hassner, et al · 2009
Earlier work this paper cites.
Bayesian face revisited: A joint formulation
D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun · 2012
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Improving neural networks by preventing co-adaptation of feature detectors
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov · 2012
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Learning to align from scratch
G. Huang, M. Mattar, H. Lee, and E. G. Learned-Miller · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Probabilistic models for inference about identity
P. Li, Y. Fu, U. Mohammed, J. H. Elder, and S. J. Prince · 2012
Cited alongside, same era.
Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors
C. H. Chan, M. A. Tahir, J. Kittler, and M. Pietikainen · 2013
Cited alongside, same era.
Multiscale local phase quantization for robust component-based face recognition using kernel fusion of multiple descriptors
C. H. Chan, M. A. Tahir, J. Kittler, and M. Pietikainen · 2013
Cited alongside, same era.
Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification
D. Chen, X. Cao, F. Wen, and J. Sun · 2013
Cited alongside, same era.
Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
Later among the works it cites.
Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2014
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2014
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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.
Matconvnet – convolutional neural networks for matlab
A. Vedaldi and K. Lenc · 2014
Later among the works it cites.
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K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2013
Cited alongside, same era.
Hybrid deep learning for face verification
Y. Sun, X. Wang, and X. Tang · 2013
Cited alongside, same era.
Return of the devil in the details: Delving deep into convolutional nets
K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman · 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.
Learning face representation from scratch
D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
Later among the works it cites.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Closest in time.
Naive-deep face recognition: Touching the limit of lfw benchmark or not?
E. Zhou, Z. Cao, and Q. Yin · 2015
Closest in time.