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检索条件"机构=Jiangsu Provincial Engineering Laboratory Pattern Recognition and Computational Intelligence"
104 条 记 录,以下是71-80 订阅
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Differentiable neural architecture learning for efficient neural network design
arXiv
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arXiv 2021年
作者: Guo, Qingbei Wu, Xiao-Jun Kittler, Josef Feng, Zhiquan Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan250022 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Automated neural network design has received ever-increasing attention with the evolution of deep convolutional neural networks (CNNs), especially involving their deployment on embedded and mobile platforms. One of th... 详细信息
来源: 评论
UMFA: A photorealistic style transfer method based on U-Net and multi-layer feature aggregation
arXiv
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arXiv 2021年
作者: Rao, Dongyu Wu, Xiao-Jun Li, Hui Kittler, Josef Xu, Tianyang Jiangnan University Jiangsu Provincial Engineerinig Laboratory of Pattern Recognition and Computational Intelligence School of Artificial Intelligence and Computer Science Lihu Avenue Wuxi214122 China University of Surrey Centre for Vision Speech and Signal Processing GuildfordGU2 7XH United Kingdom
In this paper, we propose a photorealistic style transfer network to emphasize the natural effect of photo realistic image stylization. In general, distortion of the image content and lacking of details are two typica... 详细信息
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Multiplication fusion of sparse and collaborative-competitive representation for image classification
arXiv
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arXiv 2020年
作者: Li, Zi-Qi Sun, Jun Wu, Xiao-Jun Yin, He-Feng School of Internet of Things Engineering Jiangnan University Wuxi214122 China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China
Representation based classification methods have become a hot research topic during the past few years, and the two most prominent approaches are sparse representation based classification (SRC) and collaborative repr... 详细信息
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Learning efficient structured dictionary for image classification
arXiv
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arXiv 2020年
作者: Li, Zi-Qi Sun, Jun Wu, Xiao-Jun Yin, He-Feng Jiangnan University School of Internet of Things Engineering Lihu Avenue Wuxi China Jiangsu Provincial Laboratory of Pattern Recognition and Computational Intelligence Lihu Avenue Wuxi China
Recent years have witnessed the success of dictionary learning (DL) based approaches in the domain of pattern classification. In this paper, we present an efficient structured dictionary learning (ESDL) method which t... 详细信息
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Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning
arXiv
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arXiv 2022年
作者: Li, Yun Liu, Zhe Chang, Xiaojun McAuley, Julian Yao, Lina The School of Computer Science and Engineering University of New South Wales SydneyNSW2052 Australia The Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China The School of Computer Science and Engineering University of New South Wales SydneyNSW2052 Australia The Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW2007 Australia The School of Computer Science and Engineering University of California San Diego San DiegoCA United States CSIRO’s Data61 University of New South Wales SydneyNSW2052 Australia
Zero-Shot Learning (ZSL) aims to transfer classification capability from seen to unseen classes. Recent methods have proved that generalization and specialization are two essential abilities to achieve good performanc... 详细信息
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Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification
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computational Visual Media 2018年 第3期4卷 245-252页
作者: Kai-Xuan Chen Xiao-Jun Wu School of loT Engineering 3iangnan University Wuxi 214122 China. Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi 214122 China.
In pattern recognition,the task of image set classification has often been performed by representing data using symmetric positive definite(SPD)matrices,in conjunction with the metric of the resulting Riemannian *** t... 详细信息
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Self-grouping convolutional neural networks
arXiv
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arXiv 2020年
作者: Guo, Qingbei Wu, Xiao-Jun Kittler, Josef Feng, Zhiquan Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan250022 China Centre for Vision Speech and Signal Processing University of Surrey GuildfordGU2 7XH United Kingdom
Although group convolution operators are increasingly used in deep convolutional neural networks to improve the computational efficiency and to reduce the number of parameters, most existing methods construct their gr... 详细信息
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Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action recognition
Spatial Residual Layer and Dense Connection Block Enhanced S...
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International Conference on Computer Vision Workshops (ICCV Workshops)
作者: Cong Wu Xiao-Jun Wu Josef Kittler School of IOT Engineering Jiangnan University China Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence CVSSP University of Surrey UK
Recent research has shown that modeling the dynamic joint features of the human body by a graph convolutional network (GCN) is a groundbreaking approach for skeleton-based action recognition, especially for the recogn... 详细信息
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Adaptive multi-modal fusion hashing via hadamard matrix
arXiv
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arXiv 2020年
作者: Yu, Jun Zhang, Donglin Shu, Zhenqiu Chen, Feng The College of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China The Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence Jiangnan University Wuxi214122 China The Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China The School of Computer Science and Technology Anhui University of Technology Ma'anshan China
Hashing plays an important role in information retrieval, due to its low storage and high speed of processing. Among the techniques available in the literature, multi-modal hashing, which can encode heterogeneous mult... 详细信息
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Cross-modal subspace learning via Kernel correlation maximization and discriminative structure preserving
arXiv
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arXiv 2019年
作者: Yu, Jun Wu, Xiao-Jun School of IoT Engineering Jiangnan University Wuxi214122 China The Jiangsu Provincial Engineering Laboratory of Pattern Recognition Computational Intelligence Jiangnan University Wuxi214122 China
The measure between heterogeneous data is still an open problem. Many research works have been developed to learn a common subspace where the similarity between different modalities can be calculated directly. However... 详细信息
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