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In recent years, the performance of face verification systems has significantly improved using deep convolutional neural networks (DCNNs).
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Y. LeCun, C. Cortes, and C. J. Burges · 1998
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Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
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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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Torch7: A matlab-like environment for machine learning
R. Collobert, K. Kavukcuoglu, and C. Farabet · 2011
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Face recognition in unconstrained videos with matched background similarity
L. Wolf, T. Hassner, and I. Maoz · 2011
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Discriminative deep metric learning for face verification in the wild
J. Hu, J. Lu, and Y.-P. Tan · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 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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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, and X. Zheng · 2015
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An end-to-end system for unconstrained face verification with deep convolutional neural networks
J.-C. Chen, R. Ranjan, A. Kumar, C.-H. Chen, V. M. Patel, and R. Chellappa · 2015
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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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Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a
B. F. Klare, B. Klein, E. Taborsky, A. Blanton, J. Cheney, K. Allen, P. Grother, A. Mah, and A. K. Jain · 2015
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Targeting ultimate accuracy: Face recognition via deep embedding
J. Liu, Y. Deng, T. Bai, Z. Wei, and C. Huang · 2015
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Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Face search at scale: 80 million gallery
D. Wang, C. Otto, and A. K. Jain · 2015
Cited alongside, same era.
Face recognition using deep multi-pose representations
W. AbdAlmageed, Y. Wu, S. Rawls, S. Harel, T. Hassner, I. Masi, J. Choi, J. Lekust, J. Kim, P. Natarajan, et al · 2016
Do we really need to collect millions of faces for effective face recognition?
I. Masi, A. T. Trần, T. Hassner, J. T. Leksut, and G. Medioni · 2016
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Deep convolutional neural network features and the original image
C. J. Parde, C. Castillo, M. Q. Hill, Y. I. Colon, S. Sankaranarayanan, J.-C. Chen, and A. J. O’Toole · 2016
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An all-in-one convolutional neural network for face analysis
R. Ranjan, S. Sankaranarayanan, C. D. Castillo, and R. Chellappa · 2016
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Triplet probabilistic embedding for face verification and clustering
S. Sankaranarayanan, A. Alavi, C. D. Castillo, and R. Chellappa · 2016
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Latent factor guided convolutional neural networks for age-invariant face recognition
Y. Wen, Z. Li, and Y. Qiao · 2016
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Cited alongside, same era.
Unconstrained face verification using deep cnn features
J.-C. Chen, V. M. Patel, and R. Chellappa · 2016
Cited alongside, same era.
One-to-many face recognition with bilinear cnns
A. R. Chowdhury, T.-Y. Lin, S. Maji, and E. Learned-Miller · 2016
Cited alongside, same era.
Template adaptation for face verification and identification
N. Crosswhite, J. Byrne, O. M. Parkhi, C. Stauffer, Q. Cao, and A. Zisserman · 2016
Cited alongside, same era.
Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Pose-aware face recognition in the wild
I. Masi, S. Rawls, G. Medioni, and P. Natarajan · 2016
Cited alongside, same era.
A discriminative feature learning approach for deep face recognition
Y. Wen, K. Zhang, Z. Li, and Y. Qiao · 2016
Later among the works it cites.
Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
Later among the works it cites.
Neural aggregation network for video face recognition
J. Yang, P. Ren, D. Chen, F. Wen, H. Li, and G. Hua · 2016
Later among the works it cites.
Deepvisage: Making face recognition simple yet with powerful generalization skills
A. Hasnat, J. Bohné, S. Gentric, and L. Chen · 2017
Closest in time.
A proximity-aware hierarchical clustering of faces
W.-A. Lin, J.-C. Chen, and R. Chellappa · 2017
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Sphereface: Deep hypersphere embedding for face recognition
W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, and L. Song · 2017
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A good practice towards top performance of face recognition: Transferred deep feature fusion
L. Xiong, J. Karlekar, J. Zhao, J. Feng, S. Pranata, and S. Shen · 2017
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