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检索条件"机构=Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems"
527 条 记 录,以下是171-180 订阅
排序:
SDM: Semantic Distortion Measurement for Video Encryption
SDM: Semantic Distortion Measurement for Video Encryption
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International Conference on Automatic Face and Gesture Recognition
作者: Yongquan Hu Wei Zhou Shuxin Zhao Zhibo Chen Weiping Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Semantic information is important in video encryption. However, existing image quality assessment (IQA) methods, such as the peak signal to noise ratio (PSNR), are still widely applied to measure the encryption securi... 详细信息
来源: 评论
ISAR imaging based on antenna array and compressed sensing
ISAR imaging based on antenna array and compressed sensing
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6th International Conference on Radar, RADAR 2011
作者: Zhong, Li-Hua Hu, Dong-Hui Ding, Chi-Biao Institute of Electronics Chinese Academy of Sciences Beijing 100190 China Graduate University Chinese Academy of Sciences Beijing 100039 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences 100190 China
Compressed sensing (CS) has recently attracted much interest for its ability to recovery a sparse signal with very limited number of samples. In this paper, we adapt this idea and present a framework of high-resolutio... 详细信息
来源: 评论
M-LVC: Multiple frames prediction for learned video compression
arXiv
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arXiv 2020年
作者: Lin, Jianping Liu, Dong Li, Houqiang Wu, Feng Cas Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027
We propose an end-to-end learned video compression scheme for low-latency scenarios. Previous methods are limited in using the previous one frame as reference. Our method introduces the usage of the previous multiple ... 详细信息
来源: 评论
Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment
Deep Local and Global Spatiotemporal Feature Aggregation for...
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IEEE Visual Communications and Image processing (VCIP)
作者: Wei Zhou Zhibo Chen CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In recent years, deep learning has achieved promising success for multimedia quality assessment, especially for image quality assessment (IQA). However, since there exist more complex temporal characteristics in video... 详细信息
来源: 评论
Efficient Integer-Arithmetic-Only Convolutional Networks with Bounded ReLU
Efficient Integer-Arithmetic-Only Convolutional Networks wit...
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: Hengrui Zhao Dong Liu Houqiang Li CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
To facilitate large-scale deployment of convolutional networks, integer-arithmetic-only inference has been demonstrated effective, which not only reduces computational cost but also ensures cross-platform consistency.... 详细信息
来源: 评论
Multiscale Progressive Image Compression Network Guided by Learnable Just Noticeable Distortion
Multiscale Progressive Image Compression Network Guided by L...
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IEEE Visual Communications and Image processing (VCIP)
作者: Xin Jin Runchun Ye Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
One key challenge to the learning-based image compression is that adaptive bit allocation is crucial for compression effectiveness but can hardly be trained into a neural network. Hereby, in this work, We presents an ... 详细信息
来源: 评论
Improving Compression Artifact Reduction via End-to-End Learning of Side information
Improving Compression Artifact Reduction via End-to-End Lear...
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IEEE Visual Communications and Image processing (VCIP)
作者: Haichuan Ma Dong Liu Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
We propose to improve neural network-based compression artifact reduction by transmitting side information for the neural network. The side information consists of artifact descriptors that are obtained by analyzing t... 详细信息
来源: 评论
LEARNED SCALABLE IMAGE COMPRESSION WITH BIDIRECTIONAL CONTEXT DISENTANGLEMENT NETWORK
arXiv
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arXiv 2018年
作者: Zhang, Zhizheng Chen, Zhibo Lin, Jianxin Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
In this paper, we propose a learned scalable/progressive image compression scheme based on deep neural networks (DNN), named Bidirectional Context Disentanglement Network (BCD-Net). For learning hierarchical represent... 详细信息
来源: 评论
Deep Learning-Based Nonlinear Transform for HEVC Intra Coding
Deep Learning-Based Nonlinear Transform for HEVC Intra Codin...
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IEEE Visual Communications and Image processing (VCIP)
作者: Kun Yang Dong Liu Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
In the hybrid video coding framework, transform is adopted to exploit the dependency within the input signal. In this paper, we propose a deep learning-based nonlinear transform for intra coding. Specifically, we inco... 详细信息
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Improving resistance to adversarial deformations by regularizing gradients
arXiv
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arXiv 2020年
作者: Xia, Pengfei Li, Bin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems Department of Electronic Engineering and Information Science University of Science of Technology of China Hefei China
Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications. Currently, most defense methods are designed to defend against additive noise a... 详细信息
来源: 评论