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We propose a new approach to video face recognition.
Face recognition from long-term observations
G. Shakhnarovich, J. W. Fisher, and T. Darrell · 2002
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Video-based face recognition using probabilistic appearance manifolds
K.-C. Lee, J. Ho, M.-H. Yang, and D. Kriegman · 2003
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Face recognition with image sets using manifold density divergence
O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell · 2005
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Face recognition based on image sets
H. Cevikalp and B. Triggs · 2010
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Graph embedding discriminant analysis on grassmannian manifolds for improved image set matching
M. T. Harandi, C. Sanderson, S. Shirazi, and B. C. Lovell · 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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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Image set classification using holistic multiple order statistics features and localized multi-kernel metric learning
J. Lu, G. Wang, and P. Moulin · 2013
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Face recognition based on regularized nearest points between image sets
M. Yang, P. Zhu, L. Van Gool, and L. Zhang · 2013
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Unconstrained face recognition: Identifying a person of interest from a media collection
L. Best-Rowden, H. Han, C. Otto, B. F. Klare, and A. K. Jain · 2014
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Eigen-pep for video face recognition
H. Li, G. Hua, X. Shen, Z. Lin, and J. Brandt · 2014
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Deep learning face representation by joint identification-verification
Y. Sun, Y. Chen, 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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Log-euclidean metric learning on symmetric positive definite manifold with application to image set classification
Z. Huang, R. Wang, S. Shan, X. Li, and X. Chen · 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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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
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Ms-celeb-1m: A dataset and benchmark for large scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
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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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Quality aware network for set to set recognition
Y. Liu, J. Yan, and W. Ouyang · 2017
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L2-constrained softmax loss for discriminative face verification
R. Ranjan, C. D. Castillo, and R. Chellappa · 2017
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Learning discriminative aggregation network for video-based face recognition
Y. Rao, J. Lin, J. Lu, and J. Zhou · 2017
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Face search at scale
D. Wang, C. Otto, and A. K. Jain · 2017
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Neural aggregation network for video face recognition
J. Yang, P. Ren, D. Zhang, D. Chen, F. Wen, H. Li, and G. Hua · 2017
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T. Hassner, I. Masi, J. Kim, J. Choi, S. Harel, P. Natarajan, and G. Medioni · 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.
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
Cited alongside, same era.
Triplet probabilistic embedding for face verification and clustering
S. Sankaranarayanan, A. Alavi, C. D. Castillo, and R. Chellappa · 2016
Cited alongside, same era.
Improved deep metric learning with multi-class n-pair loss objective
K. Sohn · 2016
Cited alongside, same era.
A discriminative feature learning approach for deep face recognition
Y. Wen, K. Zhang, Z. Li, and Y. Qiao · 2016
Cited alongside, same era.
Joint face detection and alignment using multitask cascaded convolutional networks
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
Cited alongside, same era.
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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 · 2018
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Trunk-branch ensemble convolutional neural networks for video-based face recognition
C. Ding and D. Tao · 2018
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IJB-S : IARPA Janus Surveillance Video Benchmark
N. D. Kalka, B. Maze, J. A. Duncan, K. J. O’Connor, S. Elliott, K. Hebert, J. Bryan, and A. K. Jain · 2018
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Crystal loss and quality pooling for unconstrained face verification and recognition
R. Ranjan, A. Bansal, H. Xu, S. Sankaranarayanan, J.-C. Chen, C. D. Castillo, and R. Chellappa · 2018
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Metadata-based feature aggregation network for face recognition
N. Sankaran, S. Tulyakov, S. Setlur, and V. Govindaraju · 2018
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Improving face recognition by exploring local features with visual attention
Y. Shi and A. K. Jain · 2018
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Additive margin softmax for face verification
F. Wang, W. Liu, H. Liu, and J. Cheng · 2018
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Cosface: Large margin cosine loss for deep face recognition
H. Wang, Y. Wang, Z. Zhou, X. Ji, Z. Li, D. Gong, J. Zhou, and W. Liu · 2018
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