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Face verification remains a challenging problem in very complex conditions with large variations such as pose, illumination, expression, and occlusions.
Changing faces: Visual and non-visual coding processes in face recognition
V. Bruce · 1982
Earlier work this paper cites.
Face recognition using eigenfaces
M. A. Turk and A. P. Pentland · 1991
Earlier work this paper cites.
Accuracy and Stability of Numberical Algorithms
N. J. Higham · 1996
Earlier work this paper cites.
Comparisons between human and computer recognition of faces
V. Bruce, P. J. Hancock, and A. M. Burton · 1998
Earlier work this paper cites.
A short introduction to boosting
Y. Freund, R. Schapire, and N. Abe · 1999
Earlier work this paper cites.
Bayesian face recognition
B. Moghaddam, T. Jebara, and A. Pentland · 2000
Earlier work this paper cites.
Support vector clustering
A. Ben-Hur, D. Horn, H. T. Siegelmann, and V. Vapnik · 2002
Earlier work this paper cites.
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
C. Liu and H. Wechsler · 2002
Earlier work this paper cites.
Gaussian process latent variable models for visualisation of high dimensional data
N. D. Lawrence · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
D. G. Lowe · 2004
Earlier work this paper cites.
Fisher vector faces in the wild
K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2004
Earlier work this paper cites.
Face sketch recognition
X. Tang and X. Wang · 2004
Earlier work this paper cites.
Nonparametric subspace analysis for face recognition
Z. Li, W. Liu, D. Lin, and X. Tang · 2005
Earlier work this paper cites.
Face recognition by humans: 20 results all computer vision researchers should know about
P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell · 2005
Earlier work this paper cites.
Learning gaussian processes from multiple tasks
K. Yu, V. Tresp, and A. Schwaighofer · 2005
Earlier work this paper cites.
Face description with local binary patterns: Application to face recognition
T. Ahonen, A. Hadid, and M. Pietikainen · 2006
Earlier work this paper cites.
Appearance-based gender classification with gaussian processes
H.-C. Kim, D. Kim, Z. Ghahramani, and S. Y. Bang · 2006
Earlier work this paper cites.
Optimal kernel selection in kernel fisher discriminant analysis
S.-J. Kim, A. Magnani, and S. Boyd · 2006
Earlier work this paper cites.
Predicting human performance for face recognition
A. J. O’Toole, F. Jiang, D. Roark, and H. Abdi · 2006
Earlier work this paper cites.
Gaussian processes for machine learning
C. E. Rasmussen and C. K. I. Williams · 2006
Earlier work this paper cites.
Morph: A longitudinal image database of normal adult age-progression
K. Ricanek and T. Tesafaye · 2006
Earlier work this paper cites.
Comparing human and automatic face recognition performance
A. Adler and M. E. Schuckers · 2007
Cited alongside, same era.
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
Cited alongside, same era.
Clustering based on gaussian processes
H.-C. Kim and J. Lee · 2007
Cited alongside, same era.
Face recognition algorithms surpass humans matching faces over changes in illumination
A. J. O’Toole, P. J. Phillips, F. Jiang, J. Ayyad, N. Pénard, and H. Abdi · 2007
Cited alongside, same era.
Using deep belief nets to learn covariance kernels for gaussian processes
R. Salakhutdinov and G. E. Hinton · 2007
Cited alongside, same era.
Discriminative gaussian process latent variable model for classification
R. Urtasun and T. Darrell · 2007
Face verification using the lark representation
H. J. Seo and P. Milanfar · 2011
Later among the works it cites.
Bayesian multitask classification with gaussian process priors
G. Skolidis and G. Sanguinetti · 2011
Later among the works it cites.
Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
Later among the works it cites.
An associate-predict model for face recognition
Q. Yin, X. Tang, and J. Sun · 2011
Later among the works it cites.
Tom-vs-pete classifiers and identity-preserving alignment for face verification
T. Berg and P. N. Belhumeur · 2012
Later among the works it cites.
Bayesian face revisited: A joint formulation
D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun · 2012
Later among the works it cites.
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Cited alongside, same era.
Multi-task gaussian process prediction
E. Bonilla, K. M. Chai, and C. Williams · 2008
Cited alongside, same era.
Liblinear: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008
Cited alongside, same era.
Random projection trees for vector quantization
S. Dasgupta and Y. Freund · 2009
Cited alongside, same era.
Attribute and simile classifiers for face verification
N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar · 2009
Cited alongside, same era.
Nonparametric discriminant analysis for face recognition
Z. Li, D. Lin, and X. Tang · 2009
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Multiple one-shots for utilizing class label information
Y. Taigman, L. Wolf, and T. Hassner · 2009
Cited alongside, same era.
Learning hierarchical representations for face verification with convolutional deep belief networks
G. Huang, H. Lee, and E. Learned-Miller · 2012
Later among the works it cites.
Face recognition using local quantized patterns
S. U. Hussain, T. Napoléon, F. Jurie, et al · 2012
Later among the works it cites.
Comparing face recognition algorithms to humans on challenging tasks
A. J. O’Toole, X. An, J. Dunlop, V. Natu, and P. J. Phillips · 2012
Later among the works it cites.
A practical transfer learning algorithm for face verification
X. Cao, D. Wipf, F. Wen, and G. Duan · 2013
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Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification
D. Chen, X. Cao, F. Wen, and J. Sun · 2013
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Probabilistic elastic matching for pose variant face verification
H. Li, G. Hua, Z. Lin, J. Brandt, and J. Yang · 2013
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Hybrid deep learning for face verification
Y. Sun, X. Wang, and X. Tang · 2013
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Deep learning identity preserving face space
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2013
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Learning deep face representation
H. Fan, Z. Cao, Y. Jiang, Q. Yin, and C. Doudou · 2014
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Aurora face recognition technical report: Evaluation of algorithm “aurora-c-2014-1” on labeled faces in the wild
T. Heseltine, P. Szeptycki, J. Gomes, M. Ruiz, and P. Li · 2014
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Comparison of human and computer performance across face recognition experiments
P. J. Phillips and A. J. O’Toole · 2014
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Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 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
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Recover canonical-view faces in the wild with deep neural networks
Z. Zhu, P. Luo, X. Wang, and X. Tang · 2014
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