OEINR-RFH: Outlier elimination based iterative neighbor representation for robust face hallucination-Reference-Cited by-同舟云学术

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OEINR-RFH: Outlier elimination based iterative neighbor representation for robust face hallucination

Published:2024-03 Issue: Volume:237 Page:121553
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Rajput Shyam Singh^ORCID,Rai Deepak^ORCID,Kumar Banti^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference78 articles.

1. Face image super-resolution using 2D {CCA};An;Signal Processing,2014

2. Baker, S., & Kanade, T. (2000). Hallucinating faces. In Proceedings fourth IEEE international conference on automatic face and gesture recognition(Cat. No. PR00580) (pp. 83–88).

3. Cao, Q., Lin, L., Shi, Y., Liang, X., & Li, G. (2017). Attention-aware face hallucination via deep reinforcement learning. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 690–698).

4. Super-resolution of face images using kernel PCA-based prior;Chakrabarti;IEEE Transactions on Multimedia,2007

5. Chang, H., Yeung, D.-Y., & Xiong, Y. (2004). Super-resolution through neighbor embedding. In Proceedings of the IEEE computer society conference on computer vision and pattern recognition (CVPR), Vol. 1 (pp. 1–8).

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