Quality-aware face alignment using high-resolution spatial dependencies-Reference-Cited by-同舟云学术

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Quality-aware face alignment using high-resolution spatial dependencies

Published:2023-10-16 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Ma Jinyan,Li Xuefei,Li Jing,Wan Jun,Liu Tong,Li Guohao

Funder

National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17295-5.pdf

Reference51 articles.

1. Jiang K, Wang Z, Yi P, Wang G, Gu K, Jiang J (2019) Atmfn: adaptive-threshold-based multi-model fusion network for compressed face hallucination. IEEE Trans Multimed 22(10):2734–2747

2. Jiang K, Wang Z, Yi P, Lu T, Jiang J, Xiong Z (2020) Dual-path deep fusion network for face image hallucination. IEEE Trans Neural Netw Learn Syst 33(1):378–391

3. Kumar A, Kaur A, Kumar M (2019) Face detection techniques: a review. Artif Intell Rev 52:927–948

4. Xiao S, Feng J, Xing J, Lai H, Yan S, Kassim A (2016) Robust facial landmark detection via recurrent attentive-refinement networks. In: European conference on computer vision, pp 57–72. Springer

5. Bulat A, Tzimiropoulos G (2018) Super-fan: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 109–117

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