Deep learning face representation by joint identification-verification

Advances in Neural Information Processing Systems

Volumn 3, Issue January, 2014, Pages 1988-1996

  Sun, Yi ^a   Chen, Yuheng ^b   Wang, Xiaogang ^a,c   Tang, Xiaoou ^a,c  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b SENSETIME RESEARCH   (China)

^c SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE;

CONVOLUTIONAL NETWORKS; FACE IDENTIFICATION; FACE REPRESENTATIONS; FACE VERIFICATION; FEATURE REPRESENTATION; INTRA-PERSONAL VARIATIONS; JOINT IDENTIFICATIONS; TRAINING DATA;

FACE RECOGNITION;

EID: 84937852544     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. P. N. Belhumeur, J. a. P. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. PAMI, 19:711-720, 1997.
2. X. Cao, D. Wipf, F. Wen, G. Duan, and J. Sun. A practical transfer learning algorithm for face verification. In Proc. ICCV, 2013.
3. D. Chen, X. Cao, L. Wang, F. Wen, and J. Sun. Bayesian face revisited: A joint formulation. In Proc. ECCV, 2012.
4. D. Chen, X. Cao, F. Wen, and J. Sun. Blessing of dimensionality: High-dimensional feature and its efficient compression for face verification. In Proc. CVPR, 2013.
5. S. Chopra, R. Hadsell, and Y. LeCun. Learning a similarity metric discriminatively, with application to face verification. In Proc. CVPR, 2005.
6. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? Metric learning approaches for face identification. In Proc. ICCV, 2009.
7. R. Hadsell, S. Chopra, and Y. LeCun. Dimensionality reduction by learning an invariant mapping. In Proc. CVPR, 2006.
8. J. Hu, J. Lu, and Y.-P. Tan. Discriminative deep metric learning for face verification in the wild. In Proc. CVPR, 2014.
9. C. Huang, S. Zhu, and K. Yu. Large scale strongly supervised ensemble metric learning, with applications to face verification and retrieval. NEC Technical Report TR115, 2011.
10. G. B. Huang, H. Lee, and E. Learned-Miller. Learning hierarchical representations for face verification with convolutional deep belief networks. In Proc. CVPR, 2012.
11. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled Faces in the Wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.
12. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 1998.
13. C. Lu and X. Tang. Surpassing human-level face verification performance on LFW with Gaussian Face. Technical report, arXiv:1404.3840, 2014.
14. A. Mignon and F. Jurie. PCCA: A new approach for distance learning from sparse pairwise constraints. In Proc. CVPR, 2012.
15. H. Mobahi, R. Collobert, and J. Weston. Deep learning from temporal coherence in video. In Proc. ICML, 2009.
16. B. Moghaddam, T. Jebara, and A. Pentland. Bayesian face recognition. PR, 33:1771-1782, 2000.
17. V. Nair and G. E. Hinton. Rectified linear units improve restricted Boltzmann machines. In Proc. ICML, 2010.
18. Y. Sun, X. Wang, and X. Tang. Hybrid deep learning for face verification. In Proc. ICCV, 2013.
19. Y. Sun, X. Wang, and X. Tang. Deep learning face representation by joint identification-verification. Technical report, arXiv:1406.4773, 2014.
20. Y. Sun, X. Wang, and X. Tang. Deep learning face representation from predicting 10,000 classes. In Proc. CVPR, 2014.
21. Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. DeepFace: Closing the gap to human-level performance in face verification. In Proc. CVPR, 2014.
22. X. Wang and X. Tang. Unified subspace analysis for face recognition. In Proc. ICCV, 2003.
23. X. Wang and X. Tang. A unified framework for subspace face recognition. PAMI, 26:1222-1228, 2004.
24. X. Xiong and F. De la Torre Frade. Supervised descent method and its applications to face alignment. In Proc. CVPR, 2013.
25. T. Zhang. Adaptive forward-backward greedy algorithm for learning sparse representations. IEEE Trans. Inf. Theor., 57:4689-4708, 2011.
26. Z. Zhu, P. Luo, X. Wang, and X. Tang. Deep learning identity-preserving face space. In Proc. ICCV, 2013.
27. Z. Zhu, P. Luo, X. Wang, and X. Tang. Deep learning and disentangling face representation by multi-view perceptron. In Proc. NIPS, 2014.