Face Recognition from Still Images and Video
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-27739-9_739-2
Reference35 articles.
1. Bansal A, Castillo C, Ranjan R, Chellappa R (2017a) The do’s and don’ts for CNN-based face verification. In: Proceedings of the IEEE international conference on computer vision (workshops), pp 2545–2554
2. Bansal A, Nanduri A, Castillo CD, Ranjan R, Chellappa R (2017b) UMDFaces: an annotated face dataset for training deep networks. In: 2017 IEEE international joint conference on biometrics (IJCB). IEEE, pp 464–473
3. Bansal A, Ranjan R, Castillo CD, Chellappa R (2020) Deep CNN-based face recognition. In: Computer vision: a reference guide. Springer, Cham
4. Cao Q, Shen L, Xie W, Parkhi OM, Zisserman A (2018) VGGFace2: a dataset for recognising faces across pose and age. In: 2018 13th IEEE international conference on automatic face & gesture recognition (FG 2018). IEEE, pp 67–74
5. Chen D, Hua G, Wen F, Sun J (2016) Supervised transformer network for efficient face detection. In: European conference on computer vision. Springer, pp 122–138
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