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Recent progress in face detection (including keypoint detection), and recognition is mainly being driven by (i) deeper convolutional neural network architectures, and (ii) larger datasets.
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.
Fddb: A benchmark for face detection in unconstrained settings
V. Jain and E. G. Learned-Miller · 2010
Earlier work this paper cites.
Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization
M. Köstinger, P. Wohlhart, P. M. Roth, and H. Bischof · 2011
Earlier work this paper cites.
Segmentation as selective search for object recognition
K. E. Van de Sande, J. R. Uijlings, T. Gevers, and A. W. Smeulders · 2011
Earlier work this paper cites.
Face recognition in unconstrained videos with matched background similarity
L. Wolf, T. Hassner, and I. Maoz · 2011
Earlier work this paper cites.
The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Face detection, pose estimation, and landmark localization in the wild
X. Zhu and D. Ramanan · 2012
Earlier work this paper cites.
Robust face landmark estimation under occlusion
X. Burgos-Artizzu, P. Perona, and P. Dollár · 2013
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
Earlier work this paper cites.
Supervised descent method and its applications to face alignment
X. Xiong and F. De la Torre · 2013
Earlier work this paper cites.
Supervised descent method and its application to face alignment
Xuehan-Xiong and F. De la Torre · 2013
Earlier work this paper cites.
Face alignment by explicit shape regression
X. Cao, Y. Wei, F. Wen, and J. Sun · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Surpassing human-level face verification performance on lfw with gaussianface
C. Lu and X. Tang · 2014
Cited alongside, same era.
A data-driven approach to cleaning large face datasets
H.-W. Ng and S. Winkler · 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.
Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
Cited alongside, same era.
Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Cited alongside, same era.
Deeply learned face representations are sparse, selective, and robust
Y. Sun, X. Wang, and X. Tang · 2015
Later among the works it cites.
Web-scale training for face identification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2015
Later among the works it cites.
Wider face: A face detection benchmark
S. Yang, P. Luo, C. C. Loy, and X. Tang · 2015
Later among the works it cites.
Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, A. Seff, Y. Zhang, S. Song, T. Funkhouser, and J. Xiao · 2015
Later among the works it cites.
Face alignment across large poses: A 3d solution
X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li · 2015
Later among the works it cites.
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D. Yi, Z. Lei, S. Liao, and S. Z. Li · 2014
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
Cited alongside, same era.
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, M. Burge, and A. K. Jain · 2015
Cited alongside, same era.
Deep learning face attributes in the wild
Z. Liu, P. Luo, X. Wang, and X. Tang · 2015
Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
Cited alongside, same era.
A deep pyramid deformable part model for face detection
R. Ranjan, V. M. Patel, and R. Chellappa · 2015
Cited alongside, same era.
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, et al · 2015
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
Closest in time.
Deep networks with stochastic depth
G. Huang, Y. Sun, Z. Liu, D. Sedra, and K. Weinberger · 2016
Closest in time.
The megaface benchmark: 1 million faces for recognition at scale
I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, and E. Brossard · 2016
Closest in time.
Labeled faces in the wild: A survey
E. Learned-Miller, G. B. Huang, A. RoyChowdhury, H. Li, and G. Hua · 2016
Closest in time.
Megaface 2: 672,057 identities for face recognition
A. Nech and I. Kemelmacher-Shlizerman · 2016
Closest in time.
R. Ranjan, V. M. Patel, and R. Chellappa · 2016
Closest in time.
An all-in-one convolutional neural network for face analysis
R. Ranjan, S. Sankaranarayanan, C. Castillo, and R. Chellappa · 2016
Closest in time.
Triplet similarity embedding for face verification
S. Sankaranarayanan, A. Alavi, and R. Chellappa · 2016
Closest in time.
Face alignment across large poses: A 3d solution
X. Zhu, Z. Lei, X. Liu, H. Shi, and S. Z. Li · 2016
Closest in time.