Video-based face recognition based on deep convolutional neural network-Reference-Cited by-同舟云学术

Video-based face recognition based on deep convolutional neural network

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 International Conference on Image, Video and Signal Processing - IVSP 2019
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Author:

Zhai Yilong¹,He Dongzhi¹

Affiliation:

1. Beijing University of Technology, Beijing, China

Publisher

ACM Press

Reference14 articles.

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2. Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. DOI=https://dx.doi.org/10.1145/3065386

3. Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, Lior Wolf. DeepFace: Closing the gap to human-level performance in face verification. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p 1701--1708, September 24, 2014. DOI= https://dx.doi.org/10.1109/CVPR.2014.220

4. Wang, Ruiping, Shan, Shiguang, Chen, Xilin, Dai, Qionghai, Gao, Wen. Manifold-manifold distance and its application to face recognition with image sets. IEEE Transactions on Image Processing, v 21, n 10, p 4466--4479, 2012. DOI=https://dx.doi.org/10.1109/TIP.2012.2206039

5. Lee, Kuang-Chih, Ho, Jeffrey, Yang\Ming-Hsuan, Kriegman David. Video-based face recognition using probabilistic appearance manifolds. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, v 1, p I/313--I/320, 2003.

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