Deep Embedding for Face Recognition in Public Video Surveillance
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Yu Sun | Guan Wang | Shengguang Li | Wenjing Chen | Ke Geng
[1] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Mahadev Satyanarayanan,et al. OpenFace: A general-purpose face recognition library with mobile applications , 2016 .
[3] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[4] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[8] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[10] Yu Qiao,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks , 2016, IEEE Signal Processing Letters.
[11] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[12] Xiaogang Wang,et al. Deeply learned face representations are sparse, selective, and robust , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[14] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[15] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Xiaogang Wang,et al. DeepID3: Face Recognition with Very Deep Neural Networks , 2015, ArXiv.