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In recent years, the performance of face verification and recognition systems based on deep convolutional neural networks (DCNNs) has significantly improved.
Structural aspects of face recognition and the other-race effect
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Statistical computations on grassmann and stiefel manifolds for image and video-based recognition
P. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa · 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
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A compact and discriminative face track descriptor
O. M. Parkhi, K. Simonyan, A. Vedaldi, and A. Zisserman · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 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
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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
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2015
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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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A discriminative feature learning approach for deep face recognition
Y. Wen, K. Zhang, Z. Li, and Y. Qiao · 2016
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
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Learning a structured dictionary for video-based face recognition
H. Xu, J. Zheng, A. Alavi, and R. Chellappa · 2016
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Template regularized sparse coding for face verification
H. Xu, J. Zheng, A. Alavi, and R. Chellappa · 2016
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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
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Umdfaces: An annotated face dataset for training deep networks
A. Bansal, A. Nanduri, C. Castillo, R. Ranjan, and R. Chellappa · 2016
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.
J. Yang, P. Ren, D. Chen, F. Wen, H. Li, and G. Hua · 2016
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The do’s and don’ts for cnn-based face verification
A. Bansal, C. Castillo, R. Ranjan, and R. Chellappa · 2017
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Faceposenet: Making a case for landmark-free face alignment
F.-J. Chang, A. T. Tran, T. Hassner, I. Masi, R. Nevatia, and G. Medioni · 2017
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Unconstrained still/video-based face verification with deep convolutional neural networks
J.-C. Chen, R. Ranjan, S. Sankaranarayanan, A. Kumar, C.-H. Chen, V. M. Patel, C. D. Castillo, and R. Chellappa · 2017
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Deepvisage: Making face recognition simple yet with powerful generalization skills
A. Hasnat, J. Bohné, S. Gentric, and L. Chen · 2017
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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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Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition
R. Ranjan, V. M. Patel, and R. Chellappa · 2017
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An all-in-one convolutional neural network for face analysis
R. Ranjan, S. Sankaranarayanan, C. D. Castillo, and R. Chellappa · 2017
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Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi · 2017
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Iarpa janus benchmark-b face dataset
C. Whitelam, E. Taborsky, A. Blanton, B. Maze, J. Adams, T. Miller, N. Kalka, A. K. Jain, J. A. Duncan, K. Allen, et al · 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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Deep learning for understanding faces: Machines may be just as good, or better, than humans
R. Ranjan, S. Sankaranarayanan, A. Bansal, N. Bodla, J.-C. Chen, V. M. Patel, C. D. Castillo, and R. Chellappa · 2018
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