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检索条件"机构=Key Laboratory of Technology in Geospatial Information and Application System"
842 条 记 录,以下是281-290 订阅
排序:
Learned Video Compression with Feature-level Residuals
Learned Video Compression with Feature-level Residuals
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
作者: Runsen Feng Yaojun Wu Zongyu Guo Zhizheng Zhang Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
In this paper, we present an end-to-end video compression network for P-frame challenge on CLIC. We focus on deep neural network (DNN) based video compression, and improve the current frameworks from three aspects. Fi... 详细信息
来源: 评论
3-D context entropy model for improved practical image compression
arXiv
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arXiv 2020年
作者: Guo, Zongyu Wu, Yaojun Feng, Runsen Zhang, Zhizheng Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
In this paper, we present our image compression framework designed for CLIC 2020 competition. Our method is based on Variational AutoEncoder (VAE) architecture which is strengthened with residual structures. In short,... 详细信息
来源: 评论
GUID-based mobile visual communication using NDN mechanism
GUID-based mobile visual communication using NDN mechanism
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IEEE Visual Communications and Image Processing (VCIP)
作者: Yuanzun Zhang Xiaobin Tan Hao Liu Weiping Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
With the explosive growth in the number of mobile terminals, the demand for visual communication with mobility is increasing. However, traditional solutions for mobility over IP network cannot always meet the demand o... 详细信息
来源: 评论
Action recognition with novel high-level pose features
Action recognition with novel high-level pose features
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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
作者: Jiayi Fan Zhengjun Zha Xinmei Tian University of Science and Technology of China CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System
Recently high-level pose features (HLPF) have been shown to be efficient for action recognition in joint-annotated tasks. However, the relative positions between pairs of joints in actual situations and the spatio-tem... 详细信息
来源: 评论
SAR Automatic Target Recognition Based on Slow Feature Analysis
SAR Automatic Target Recognition Based on Slow Feature Analy...
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2015 IEEE International Conference on Progress in Informatics and Computing(PIC 2015)
作者: Rentuo Tao Bin Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
This paper presents a new Synthetic Aperture Radar(SAR) Automatic Target Recognition(ATR) method based on slow feature analysis. Slow feature analysis(SFA) is a method for learning invariant or slowly varying fe... 详细信息
来源: 评论
Hybrid digital-analog scheme for video transmission over fading channel
Hybrid digital-analog scheme for video transmission over fad...
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International Symposium on Circuits and systems
作者: Jian Shen Lei Yu Houqiang Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
In this paper, we consider video communication over fading channel, where the perfect instantaneous channel state information (CSI) is available at both sender and receiver. Most of existing coding schemes are ineffic... 详细信息
来源: 评论
Accelerate Neural Image Compression with Channel-Adaptive Arithmetic Coding
Accelerate Neural Image Compression with Channel-Adaptive Ar...
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IEEE International Symposium on Circuits and systems
作者: Zongyu Guo Jun Fu Runsen Feng Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
We have witnessed the revolutionary progress of learned image compression despite a short history of this field. Some challenges still remain such as computational complexity that prevent the practical application of ... 详细信息
来源: 评论
Learned video compression with feature-level residuals
arXiv
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arXiv 2020年
作者: Feng, Runsen Wu, Yaojun Guo, Zongyu Zhang, Zhizheng Jin, Xin Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
In this paper, we present an end-to-end video compression network for P-frame challenge on CLIC. We focus on deep neural network (DNN) based video compression, and improve the current frameworks from three aspects. Fi... 详细信息
来源: 评论
Development and implementation of a dynamic and 4D GIS based on semantic location model
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Geo-Spatial information Science 2019年 第3期22卷 193-213页
作者: Xinyan Zhu Tao Hu Xinyue Ye Wei Guo Liang Huang Hanjiang Xiong Haojun Ai Bing She Qing Xiong Lian Duan State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Collaborative Innovation Center of Geospatial Technology Wuhan UniversityWuhanChina Center for Geographic Analysis Harvard UniversityCambridgeMAUSA Department of Informatics New Jersey Institute of TechnologyNewarkNJUSA Intelligent Transportation System Research Center Wuhan University of TechnologyWuhanChina University of Michigan Ann ArborUSA Geography Science and Planning School Guangxi Normal UniversityNanningChina Key Laboratory of Environment Change and Resources Use in Beibu Gulf Guangxi Teachers Education UniversityNanningChina
In the big data era,robust solutions are obliged to be proposed to integrate and represent data from different formats and with different contents to assist the *** cartographic and geographic information systems have... 详细信息
来源: 评论
3-D Context Entropy Model for Improved Practical Image Compression
3-D Context Entropy Model for Improved Practical Image Compr...
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
作者: Zongyu Guo Yaojun Wu Runsen Feng Zhizheng Zhang Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China
In this paper, we present our image compression framework designed for CLIC 2020 competition. Our method is based on Variational AutoEncoder (VAE) architecture which is strengthened with residual structures. In short,... 详细信息
来源: 评论