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Swami Sankaranarayanan | Rama Chellappa | Azadeh Alavi | R. Chellappa | S. Sankaranarayanan | A. Alavi
[1] Anil K. Jain,et al. Face Search at Scale: 80 Million Gallery , 2015, ArXiv.
[2] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Marwan Mattar,et al. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments , 2008 .
[4] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[6] Andrew Zisserman,et al. Fisher Vector Faces in the Wild , 2013, BMVC.
[7] Anil K. Jain,et al. Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[9] Swami Sankaranarayanan,et al. Unconstrained face verification using fisher vectors computed from frontalized faces , 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[10] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[11] Shengcai Liao,et al. Learning Face Representation from Scratch , 2014, ArXiv.
[12] Rama Chellappa,et al. Unconstrained face verification using deep CNN features , 2015, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[13] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[14] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[15] 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.