Triplet probabilistic embedding for face verification and clustering

2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016

Volumn , Issue , 2016, Pages

  Sankaranarayanan, Swami ^a   Alavi, Azadeh ^a   Castillo, Carlos D ^a   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS;

FACE VERIFICATION; LOW DIMENSIONAL; POSE VARIATION; POST PROCESSING; PROBABILITY CONSTRAINTS; STATE-OF-THE-ART METHODS; SUBJECT-SPECIFIC; TRAINING DATA;

FACE RECOGNITION;

EID: 85011277658     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2016.7791205     Document Type: Conference Paper

References (28)

1. 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," October 2007.
2. B. F. Klare, E. Taborsky, A. Blanton, J. Cheney, K. Allen, P. Grother, A. Mah, M. Burge, and A. K. Jain, "Pushing the frontiers of unconstrained face detection and recognition: Iarpa janus benchmark a," algorithms, vol. 13, p. 4, 2015.
3. J.-C. Chen, S. Sankaranarayanan, V. M. Patel, and R. Chellappa, "Unconstrained face verification using fisher vectors computed from frontalized faces," BTAS, 2015.
4. Y. Taigman, M. Yang, M. Ranzato, and L. Wolf, "Deepface: Closing the gap to human-level performance in face verification," in CVPR 2014.
5. F. Schroff, D. Kalenichenko, and J. Philbin, "Facenet: A unified embedding for face recognition and clustering," in CVPR, 2015.
6. D. Wang, C. Otto, and A. K. Jain, "Face search at scale: 80 million gallery," arXiv preprint arXiv:1507.07242, 2015.
7. O. M. Parkhi, A. Vedaldi, and A. Zisserman, "Deep face recognition," BMVC, 2015.
8. D. Yi, Z. Lei, S. Liao, and S. Z. Li, "Learning face representation from scratch," arXiv preprint arXiv:1411.7923, 2014.
9. K. Q. Weinberger, J. Blitzer, and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification," in NIPS, 2005.
10. K. Simonyan, O. M. Parkhi, A. Vedaldi, and A. Zisserman, "Fisher Vector Faces in the Wild," in BMVC, 2013.
11. J.-C. Chen, V. M. Patel, and R. Chellappa, "Unconstrained face verification using deep cnn features," arXiv preprint arXiv:1508.01722, 2015.
12. L. Van der Maaten and G. Hinton, "Visualizing data using t-sne," JMLR, vol. 9, no. 2579-2605, p. 85, 2008.
13. L. Van Der Maaten and K. Weinberger, "Stochastic triplet embedding," in Machine Learning for Signal Processing (MLSP), 2012, pp. 1-6, IEEE, 2012.
14. O. Tamuz, C. Liu, S. Belongie, O. Shamir, and A. T. Kalai, "Adaptively learning the crowd kernel," arXiv preprint arXiv:1105.1033, 2011.
15. K. He, X. Zhang, S. Ren, and J. Sun, "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification," arXiv preprint arXiv:1502.01852, 2015.
16. A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks," in NIPS, 2012.
17. J. Yosinski, J. Clune, Y. Bengio, and H. Lipson, "How transferable are features in deep neural networks?," in NIPS, 2014.
18. M. Long and J. Wang, "Learning transferable features with deep adaptation networks," arXiv preprint arXiv:1502.02791, 2015.
19. J. Yang, P. Ren, D. Chen, F. Wen, H. Li, and G. Hua, "Neural aggregation network for video face recognition," arXiv preprint arXiv:1603.05474, 2016.
20. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, "Caffe: Convolutional architecture for fast feature embedding," arXiv preprint arXiv:1408.5093, 2014.
21. S. Sengupta, J.-C. Chen, C. D. Castillo, V. M. Patel, R. Chellappa, and D. W. Jacobs, "Frontal to profile face verification in the wild," in WACV, 2016.
22. R. Ranjan, V. M. Patel, and R. Chellappa, "Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition," arXiv ppreprint arXiv:1603.01249, 2016.
23. I. Masi, A. T. Tran, J. T. Leksut, T. Hassner, and G. Medioni, "Do we really need to collect millions of faces for effective face recognition?," arXiv preprint arXiv:1603.07057, 2016.
24. N. Crosswhite, J. Byrne, O. M. Parkhi, C. Stauffer, Q. Cao, and A. Zisserman, "Template adaptation for face verification and identification," arXiv preprint arXiv:1603.03958, 2016.
25. L. Liu, L. Zhang, H. Liu, and S. Yan, "Toward large-population face identification in unconstrained videos," IEEE Tr. on Circuits and Systems for Video Technology, vol. 24, pp. 1874-1884, Nov 2014.
26. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, "Going deeper with convolutions," in CVPR, 2015.
27. L. Wolf, T. Hassner, and Y. Taigman, "The one-shot similarity kernel," in ICCV, 2009.
28. C. Otto, D. Wang, and A. K. Jain, "Clustering millions of faces by identity," arXiv preprint arXiv:1604.00989, 2016.