An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks

Published:2015-12 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
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Author:

Chen Jun-Cheng,Ranjan Rajeev,Kumar Amit,Chen Ching-Hui,Patel Vishal M.,Chellappa Rama

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7406213/7406349/07406404.pdf?arnumber=7406404

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. CoNAN: Conditional Neural Aggregation Network For Unconstrained Face Feature Fusion;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

3. Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans;ACM Transactions on Applied Perception;2023-07-31

4. Evaluating Effectiveness of Using Multi-Features to Differentiate Real from Fake Facial Images;2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT);2022-12-09

5. Video Face Recognition Using Neural Aggregation Networks with Mutual Relational Learning;2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI);2022-10

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