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检索条件"机构=Processing and Pattern Recognition Laboratory"
774 条 记 录,以下是281-290 订阅
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Generative Zero-shot Image Classification based on Generative Feature Constraint  10
Generative Zero-shot Image Classification based on Generativ...
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10th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2022
作者: Yu, Xiao Li, Qishen Huang, Hua Li, Qiufeng School of Information Engineering Nanchang Hangkong University Jiangxi Nanchang China School of Software Nanchang Hangkong University Jiangxi Nanchang China Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang China Jiangxi China
Zero-shot learning (ZSL) utilizes semantic information that is auxiliary information to transfer knowledge from seen classes to unseen classes, thereby realizing the recognition of unseen classes. The generative metho... 详细信息
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Statistical Image Upsampling Method Based on CUDA
Statistical Image Upsampling Method Based on CUDA
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International Conference on Computational Intelligence and Security
作者: Xin Zheng Qingqing Xu Peipei Pan Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China
In many application fields, an appropriate high-quality fast image upsampling method is required. Although many interpolation-based upsampling methods have been proposed, the quality of result images is not satisfacto... 详细信息
来源: 评论
Blind deconvolution of speech mixtures based on time-frequency processing and statistical analysis
Blind deconvolution of speech mixtures based on time-frequen...
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International Symposium on Communications and Information Technologies (ISCIT)
作者: Ke Hu Zengfu Wang Laboratory of Audio-visual Information Processing and Pattern Recognition University of Science and Technology Hefei Anhui China
来源: 评论
Image Completion with Automatic Structure Propagation
Image Completion with Automatic Structure Propagation
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International Conference on Computational Intelligence and Security
作者: Peipei Pan Xin Zheng Qingqing Xu Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China
In this paper, we propose a novel approach for image completion with automatic structure propagation. This method integrates two stages: Firstly, it extends the salient structure lines from the known regions to the un... 详细信息
来源: 评论
Adaptive nonlinear auto-associative modeling through manifold learning
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9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005
作者: Zhang, Junping Li, Stan Z. Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences China National Laboratory of Pattern Recognition Center for Biometrics and Security Research Institute of Automation Beijing 100080 China
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike tra... 详细信息
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Enabling Multi-scale Features and Double-Attention for Single-image 3D Urban Reconstruction
Enabling Multi-scale Features and Double-Attention for Singl...
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2021 China Automation Congress, CAC 2021
作者: Miao, Jun Shen, Ji Jiang, Ruixiang Chu, Jun Guo, Luanzheng The School of Aeronautical Manufacturing Engineering Nanchang Hangkong University Nanchang330063 China The Department of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang330063 China The Pacific Northwest National Laboratory WA99354 United States
3D reconstruction from a single RGB image for urban scenes has been a foundation for safety-critical applications such as autonomous driving and city planning. It is essential to develop 3D reconstruction models that ... 详细信息
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Object Detector based on Enhanced Multi-scale Feature Fusion Pyramid Network
Object Detector based on Enhanced Multi-scale Feature Fusion...
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IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
作者: Luan Zhao Xiaofeng Zhang Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China
Constructing the pyramidal architecture for the feature is currently a very effective way to obtain feature information of objects at different scales. Although the feature pyramid can realize the recognition and dete... 详细信息
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Gait recognition Algorithm GCGait based on Skeleton  3
Gait Recognition Algorithm GCGait based on Skeleton
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3rd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023
作者: Ma, Ru Zhang, Jikai Jia, Mengyu Lv, Xiaoqi Inner Mongolia University of Science and Technology School of Information Engineering Baotou China Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing Baotou China Inner Mongolia University of Technology School of Information Engineering Hohhot China
To solve the problem of low accuracy of gait recognition in complex scenes, a novel skeleton-based gait recognition algorithm, GCGait, is proposed. Taking human posture as the input of gait feature, the interference c... 详细信息
来源: 评论
Line-based cascade labeling algorithm for hyper-scale issue
Line-based cascade labeling algorithm for hyper-scale issue
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2nd International Conference on Multimedia Technology, ICMT 2011
作者: Zhao, Hualong Sang, Hongshi Zhang, Tianxu Fan, Yebin National Key Laboratory of Science and Technology on Multi-spectral Information Processing Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China
A fast and efficient algorithm is presented to label the connected components for binary image, especially for very huge images or any image larger than the available memory. The cascading style scheme compresses the ... 详细信息
来源: 评论
AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES
AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES
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IEEE International Conference on Image processing
作者: Yu Qiao Lei Zhou Jie Yang Yonghui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University
Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour m... 详细信息
来源: 评论