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Face hallucination
Face hallucination refers to any superresolution technique which applies specifically to faces. It comprises techniques which take noisy or low…
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Related topics
Related topics
3 relations
Facial recognition system
Non-negative matrix factorization
Unsharp masking
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Super-Identity Convolutional Neural Network for Face Hallucination
Kaipeng Zhang
,
Zhanpeng Zhang
,
+4 authors
T. Zhang
European Conference on Computer Vision
2018
Corpus ID: 52955830
Face hallucination is a generative task to super-resolve the facial image with low resolution while human perception of face…
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Highly Cited
2017
Highly Cited
2017
Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks
Xin Yu
,
F. Porikli
AAAI Conference on Artificial Intelligence
2017
Corpus ID: 39018476
Conventional face hallucination methods rely heavily on accurate alignment of low-resolution (LR) faces before upsampling…
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Highly Cited
2016
Highly Cited
2016
Deep Cascaded Bi-Network for Face Hallucination
Shizhan Zhu
,
Sifei Liu
,
Chen Change Loy
,
Xiaoou Tang
European Conference on Computer Vision
2016
Corpus ID: 11859568
We present a novel framework for hallucinating faces of unconstrained poses and with very low resolution (face size as small as…
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Highly Cited
2015
Highly Cited
2015
Simultaneous Hallucination and Recognition of Low-Resolution Faces Based on Singular Value Decomposition
Muwei Jian
,
K. Lam
IEEE transactions on circuits and systems for…
2015
Corpus ID: 32826357
In video surveillance, the captured face images are usually of low resolution (LR). Thus, a framework based on singular value…
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Highly Cited
2015
Highly Cited
2015
Learning Face Hallucination in the Wild
Erjin Zhou
,
Haoqiang Fan
,
Zhimin Cao
,
Yuning Jiang
,
Qi Yin
AAAI Conference on Artificial Intelligence
2015
Corpus ID: 77977
Face hallucination method is proposed to generate high-resolution images from low-resolution ones for better visualization…
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Highly Cited
2014
Highly Cited
2014
Noise Robust Face Hallucination via Locality-Constrained Representation
Junjun Jiang
,
R. Hu
,
Zhongyuan Wang
,
Zhen Han
IEEE transactions on multimedia
2014
Corpus ID: 24176337
Recently, position-patch based approaches have been proposed to replace the probabilistic graph-based or manifold learning-based…
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Review
2013
Review
2013
A Comprehensive Survey to Face Hallucination
N. Wang
,
D. Tao
,
Xinbo Gao
,
Xuelong Li
,
Jie Li
International Journal of Computer Vision
2013
Corpus ID: 5445052
This paper comprehensively surveys the development of face hallucination (FH), including both face super-resolution and face…
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Highly Cited
2013
Highly Cited
2013
Structured Face Hallucination
Chih-Yuan Yang
,
Sifei Liu
,
Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern…
2013
Corpus ID: 158086
The goal of face hallucination is to generate high-resolution images with fidelity from low-resolution ones. In contrast to…
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Highly Cited
2011
Highly Cited
2011
Position-Patch Based Face Hallucination Using Convex Optimization
Cheolkon Jung
,
L. Jiao
,
Bing Liu
,
Maoguo Gong
IEEE Signal Processing Letters
2011
Corpus ID: 2064
We provide a position-patch based face hallucination method using convex optimization. Recently, a novel position-patch based…
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Highly Cited
2005
Highly Cited
2005
Hallucinating face by eigentransformation
Xiaogang Wang
,
Xiaoou Tang
IEEE Trans. Syst. Man Cybern. Part C
2005
Corpus ID: 4248647
In video surveillance, the faces of interest are often of small size. Image resolution is an important factor affecting face…
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