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Blind image deblurring:an overview from variational approaches to deep representation models and beyond 盲图像去模糊:从变分方法到深度表示模型及其以后的概述
Haibo Li, W. Shao
The blind image deblurring,i.e.,blind image deconvolution,is a fundamental issue in low-level vision and a cutting-edge problem in computational imaging.Since complex and varying blur kernels are h ...
盲图像去模糊,即盲图像反卷积是低级视觉的一个基本问题,也是计算成像的一个前沿问题。由于复杂和变化的模糊核是h…
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引用次数: 3
Bimodal emotion recognition based on facial expression and speech 基于面部表情和语音的双峰情感识别
J. Yan, G. Lu, Haibo Li, S. Wang
In the area of future artificial intelligence, the emotion recognition of the computers will play a more important role. For the bimodal emotion recognition from facial expression and speech, a fea ...
在未来的人工智能领域,计算机的情感识别将扮演更重要的角色。对于面部表情和语言的双峰情感识别,我们需要一个实验。
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引用次数: 3
Micro-expression recognition based on LBP-TOP features 基于LBP-TOP特征的微表情识别
G. Lu, C. Yang, W. Yang, J. Yan, Haibo Li
Micro-expressions are involuntary facial expressions revealing true feelings when a person tries to conceal facial expressions.Compared with normal facial expressions,the most significant character ...
微表情是当一个人试图隐藏面部表情时,不自觉地流露出真实情感的面部表情。与正常的面部表情相比,最显著的特征是……
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引用次数: 3
Convolutional neural network for facial expression recognition 卷积神经网络用于面部表情识别
G. Lu, J. He, J. Yan, Haibo Li
To avoid the complex explicit feature extraction process in traditional expression recognition, a convolutional neural network (CNN) for the facial expression recognition is proposed. Firstly, the ...
为避免传统表情识别中复杂的显式特征提取过程,提出了一种卷积神经网络(CNN)人脸表情识别方法。首先,……
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引用次数: 21
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南京邮电大学学报(自然科学版)
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