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We consider the problem of comparing the similarity of image sets with variable-quantity, quality and un-ordered heterogeneous images.
Z. Zhou, Y. Huang, W. Wang, L. Wang, and T. Tan · 1908
Earlier work this paper cites.
Spectral graph theory
F. R. Chung and F. C. Graham · 1997
Earlier work this paper cites.
A non-local algorithm for image denoising
A. Buades, B. Coll, and J.-M. Morel · 2005
Earlier work this paper cites.
A review of image denoising algorithms, with a new one
A. Buades, B. Coll, and J.-M. Morel · 2005
Earlier work this paper cites.
Diffusion maps
R. R. Coifman and S. Lafon · 2006
Earlier work this paper cites.
Nonlocal linear image regularization and supervised segmentation
G. Gilboa and S. Osher · 2007
Earlier work this paper cites.
Efficient sparse coding algorithms
H. Lee, A. Battle, R. Raina, and A. Y. Ng · 2007
Earlier work this paper cites.
Robust face recognition via sparse representation
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma · 2009
Earlier work this paper cites.
Sparse representation or collaborative representation: Which helps face recognition?
L. Zhang, M. Yang, and X. Feng · 2011
Earlier work this paper cites.
Dictionary-based face recognition from video
Y.-C. Chen, V. M. Patel, P. J. Phillips, and R. Chellappa · 2012
Earlier work this paper cites.
Analysis and approximation of nonlocal diffusion problems with volume constraints
Q. Du, M. Gunzburger, R. B. Lehoucq, and K. Zhou · 2012
Earlier work this paper cites.
Covariance discriminative learning: A natural and efficient approach to image set classification
R. Wang, H. Guo, L. S. Davis, and Q. Dai · 2012
Earlier work this paper cites.
M. Lin, Q. Chen, and S. Yan · 2013
Earlier work this paper cites.
Classification and boosting with multiple collaborative representations
Y. Chi and F. Porikli · 2014
Earlier work this paper cites.
Face recognition vendor test (frvt)
P. Grother and M. Ngan · 2014
Earlier work this paper cites.
Eigen-pep for video face recognition
H. Li, G. Hua, X. Shen, Z. Lin, and J. Brandt · 2014
Earlier work this paper cites.
Person re-identification by video ranking
T. Wang, S. Gong, X. Zhu, and S. Wang · 2014
Earlier work this paper cites.
Collaborative representation for classification, sparse or non-sparse?
Y. Wu, V. Jarich, M. Mukunoki, and M. Minoh · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Deep face recognition
O. M. Parkhi, A. Vedaldi, A. Zisserman, et al · 2015
Earlier work this paper cites.
Discriminant analysis on riemannian manifold of gaussian distributions for face recognition with image sets
W. Wang, R. Wang, Z. Huang, S. Shan, and X. Chen · 2015
Earlier work this paper cites.
Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. Zemel, and Y. Bengio · 2015
Earlier work this paper cites.
Interaction networks for learning about objects, relations and physics
P. Battaglia, R. Pascanu, M. Lai, D. J. Rezende, et al · 2016
Cited alongside, same era.
H. Edwards and A. Storkey · 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.
Building deep networks on grassmann manifolds
Z. Huang, J. Wu, and L. Van Gool · 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?
A. Cotter, M. Gupta, H. Jiang, J. Muller, T. Narayan, S. Wang, and T. Zhu · 2018
Later among the works it cites.
Diversity regularized spatiotemporal attention for video-based person re-identification, 2018
S. Li, S. Bak, P. Carr, and X. Wang · 2018
Later among the works it cites.
Dependency-aware attention control for unconstrained face recognition with image sets
X. Liu, K. B.V.K, C. Yang, Q. Tang, and J. You · 2018
Later among the works it cites.
Adaptive metric learning with deep neural networks for video-based facial expression recognition
X. Liu, Y. Ge, C. Yang, and P. Jia · 2018
Later among the works it cites.
Normalized face image generation with perceptron generative adversarial networks
X. Liu, B. V. Kumar, Y. Ge, C. Yang, J. You, and P. Jia · 2018
Later among the works it cites.
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
Cited alongside, same era.
Template adaptation for face verification and identification
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Deep reinforcement learning that matters
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A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification
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Data augmentation via latent space interpolation for image classification
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Transductive centroid projection for semi-supervised large-scale recognition
Y. Liu, G. Song, J. Shao, X. Jin, and X. Wang · 2018
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Nonlocal neural networks, nonlocal diffusion and nonlocal modeling
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Non-local neural networks
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Comparator networks
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Multicolumn networks for face recognition
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Temporal relational reasoning in videos
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Research on the technology of deep learning based face image recognition
X. Liu · 2019
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Unimodal regularized neuron stick-breaking for ordinal regression
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Dependency-aware attention control for imageset-based face recognition
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Hard negative generation for identity-disentangled facial expression recognition
X. Liu, B. V. Kumar, P. Jia, and J. You · 2019
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Feature-level frankenstein: Eliminating variations for discriminative recognition
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Conservative wasserstein training for pose estimation
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