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检索条件"机构=Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Machine Intelligence"
103 条 记 录,以下是91-100 订阅
排序:
Dual Attention MobDenseNet(DAMDNet) for robust 3D face alignment
arXiv
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arXiv 2019年
作者: Jiang, Lei Wu, Xiao-Jun Kittler, Josef School of IoT Engineering Jiangnan University Wuxi214122 China University of Surry GuildfordGU27XH United Kingdom Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
3D face alignment of monocular images is a crucial process in the recognition of faces with disguise.3D face reconstruction facilitated by alignment can restore the face structure which is helpful in detcting disguise... 详细信息
来源: 评论
Low-rank representations with incoherent dictionary for face recognition
arXiv
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arXiv 2019年
作者: Xie, Pei Yin, He-Feng Wu, Xiao-Jun Jiangsu GuoGuang Electronic Information Technology Co. Ltd. Changzhou213015 China School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Face recognition remains a hot topic in computer vision, and it is challenging to tackle the problem that both the training and testing images are corrupted. In this paper, we propose a novel semi-supervised method ba... 详细信息
来源: 评论
Face recognition via locality constrained low rank representation and dictionary learning
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Kittler, Josef School of IoT Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Wuxi China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Face recognition has been widely studied due to its importance in smart cities applications. However, the case when both training and test images are corrupted is not well solved. To address such a problem, this paper... 详细信息
来源: 评论
Dual encoder-decoder based generative adversarial networks for disentangled facial representation learning
arXiv
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arXiv 2019年
作者: Hu, Cong Feng, Zhen-Hua Wu, Xiao-Jun Kittler, Josef School of Internet of Things Engineering Jiangnan University Wuxi Jiangsu Province214122 China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi Jiangsu Province214122 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
To learn disentangled representations of facial images, we present a Dual Encoder-Decoder based Generative Adversarial Network (DED-GAN). In the proposed method, both the generator and discriminator are designed with ... 详细信息
来源: 评论
Infrared and visible image fusion using Latent Low-Rank Representation
arXiv
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arXiv 2018年
作者: Li, Hui Wu, Xiao-Jun Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence School of IoT engineering Jiangnan University Wuxi China
Infrared and visible image fusion is an important problem in the field of image fusion which has been applied widely in many fields. To better preserve the useful information from source images, in this paper, we prop... 详细信息
来源: 评论
Learning a representation with the block-diagonal structure for pattern classification
arXiv
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arXiv 2019年
作者: Yin, He-Feng Wu, Xiao-Jun Kittler, Josef Feng, Zhen-Hua School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Sparse-representation-based classification (SRC) has been widely studied and developed for various practical signal classification applications. However, the performance of a SRC-based method is degraded when both the... 详细信息
来源: 评论
Multiple riemannian manifold-valued descriptors based image set classification with multi-kernel metric learning
arXiv
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arXiv 2019年
作者: Wang, Rui Wu, Xiao-Jun Kittler, Josef School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
The importance of wild video based image set recognition is becoming monotonically increasing due to the large amount of video resources obtained by diversified video collection approaches, like surveillance, drive re... 详细信息
来源: 评论
No-reference image quality assessment based on dualchannel convolutional neural network
No-reference image quality assessment based on dualchannel c...
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International Symposium in Sensing and Instrumentation in IoT Era (ISSI)
作者: Shuyu Huang Qingbing Sang Qin Wu Xiaojun Wu Chaofeng Li Jiangsu Provincial Engineerinig Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi China Institutute of Logistics Science and Engineering Shanghai Maritime University Shanghai China
In recent years, convolutional neural networks have achieved more outstanding results and been widely used in the field of image quality assessment compared with the traditional handcraft method. This paper presents a... 详细信息
来源: 评论
L1-2D2PCANet: A Deep learning network for face recognition
arXiv
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arXiv 2018年
作者: Li, Yun-Kun Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China University of Surry GuildfordGU2 7XH United Kingdom
In this paper, we propose a novel deep learning network L1-2D2PCANet for face recognition, which is based on L1-norm-based two-directional two-dimensional principal component analysis (L1-2D2PCA). In our network, the ... 详细信息
来源: 评论
Infrared and visible image fusion using a deep learning framework
arXiv
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arXiv 2018年
作者: Li, Hui Wu, Xiao-Jun Kittler, Josef Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China CVSSP University of Surrey GuildfordGU2 7XH United Kingdom
In recent years, deep learning has become a very active research tool which is used in many image processing fields. In this paper, we propose an effective image fusion method using a deep learning framework to genera... 详细信息
来源: 评论