From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data-Reference-Cited by-同舟云学术

From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data

Published:2018 Issue: Volume: Page:764-780
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2018
language:
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Author:

de Castro Daniel Coelho,Nowozin Sebastian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-01216-8_46

Reference34 articles.

1. Learned-Miller, E., Huang, G.B., RoyChowdhury, A., Li, H., Hua, G.: Labeled faces in the wild: a survey. In: Kawulok, M., Celebi, M.E., Smolka, B. (eds.) Advances in Face Detection and Facial Image Analysis, pp. 189–248. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25958-1_8

2. Amos, B., Ludwiczuk, B., Satyanarayanan, M.: OpenFace: A general-purpose face recognition library with mobile applications. Technical report, CMU-CS-16-118, CMU School of Computer Science (2016)

3. Anguelov, D., Lee, K.C., Gökturk, S.B., Sumengen, B.: Contextual identity recognition in personal photo albums. In: CVPR 2007, pp. 1–7 (2007). https://doi.org/10.1109/CVPR.2007.383057

4. Betancourt, A., Morerio, P., Regazzoni, C.S., Rauterberg, M.: The evolution of first person vision methods: a survey. IEEE Trans. Circ. Syst. Video Technol. 25(5), 744–760 (2015). https://doi.org/10.1109/TCSVT.2015.2409731

5. Blei, D.M., Griffiths, T.L., Jordan, M.I.: The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies. J. ACM 57(2) (2010). https://doi.org/10.1145/1667053.1667056

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