Learn to Combine Multiple Hypotheses for Accurate Face Alignment-Reference-Cited by-同舟云学术

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Learn to Combine Multiple Hypotheses for Accurate Face Alignment

Published:2013-12 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Computer Vision Workshops
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Author:

Yan Junjie,Lei Zhen,Yi Dong,Li Stan Z.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6751566/6755862/06755924.pdf?arnumber=6755924

Cited by 88 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

1. Multi-Attribute Dynamic Learning for 3D Face Reconstruction and Dense Alignment in the Unconstrained Environment;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Exploiting global and instance-level perceived feature relationship matrices for 3D face reconstruction and dense alignment;Engineering Applications of Artificial Intelligence;2024-05

3. Learning Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense Alignment;Lecture Notes in Computer Science;2024

4. Disentangled representation transformer network for 3D face reconstruction and robust dense alignment;The Visual Computer;2023-12-27

5. Region-Aware Deep Feature-Fused Network for Robust Facial Landmark Localization;Mathematics;2023-09-22

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