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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231-240 订阅
排序:
Learning omni-frequency region-adaptive representations for real image super-resolution
arXiv
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arXiv 2020年
作者: Li, Xin Jin, Xin Yu, Tao Pang, Yingxue Sun, Simeng Zhang, Zhizheng Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Traditional single image super-resolution (SISR) methods that focus on solving single and uniform degradation (i.e., bicubic down-sampling), typically suffer from poor performance when applied into real-world low-reso... 详细信息
来源: 评论
spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
arXiv
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arXiv 2024年
作者: Sheng, Xihua Li, Li Liu, Dong Li, Houqiang The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Video compression performance is closely related to the accuracy of inter prediction. It tends to be difficult to obtain accurate inter prediction for the local video regions with inconsistent motion and occlusion. Tr... 详细信息
来源: 评论
OMP-based transform for inter coding in HEVC
OMP-based transform for inter coding in HEVC
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: Rui Song Cuiling Lan Houqiang Li Jizheng Xu Feng Wu CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Microsoft Research Asia
Discrete Cosine Transform (DCT) has been the commonly used transform for a few decades in image/video coding. However, DCT does not work well on the blocks having anisotropic correlations. In this paper, based on the ... 详细信息
来源: 评论
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment
arXiv
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arXiv 2022年
作者: Lu, Yiting Li, Xin Liu, Jianzhao Chen, Zhibo The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Deep neural networks (DNNs) have shown great potential in non-reference image quality assessment (NR-IQA). However, the annotation of NR-IQA is labor-intensive and time-consuming, which severely limits their applicati... 详细信息
来源: 评论
CASpatch: A SAR image simulation code to support ATR applications
CASpatch: A SAR image simulation code to support ATR applica...
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2009 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2009
作者: Zhang, Rui Hong, Jun Ming, Feng Key Laboratory of Spatial Information Processing and Application System Technology CAS China Institute of Electronics Chinese Academy of Sciences Beijing China Graduate University of the Chinese Academy of Sciences Beijing China
In this paper, A SAR image simulation code of 3D complex targets named CASpatch is introduced. This code is based on the high frequency technique of shooting and bouncing rays (SBR). The original purpose to design the... 详细信息
来源: 评论
Towards Semantically Scalable Image Coding using Semantic Map
Towards Semantically Scalable Image Coding using Semantic Ma...
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IEEE International Symposium on Circuits and systems (ISCAS)
作者: Ning Yan Dong Liu Houqiang Li Feng Wu Zhiwei Xiong Zheng-Jun Zha CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei 230027 China
We propose an image coding scheme that compresses image into semantically scalable bitstream using deep neural networks. This scheme is expected to support intelligent analysis when the bitstream is partially decoded,... 详细信息
来源: 评论
learning disentangled feature representation for Hybrid-distorted image restoration
arXiv
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arXiv 2020年
作者: Li, Xin Jin, Xin Lin, Jianxin Yu, Tao Liu, Sen Wu, Yaojun Zhou, Wei Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real distorted image that is degraded by multiple distortions. Existing HD-IR approaches usually ignore the inherent interference among hybrid distort... 详细信息
来源: 评论
LIRA: Lifelong image restoration from unknown blended distortions
arXiv
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arXiv 2020年
作者: Liu, Jianzhao Lin, Jianxin Li, Xin Zhou, Wei Liu, Sen Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task. To alleviate this problem, we raise t... 详细信息
来源: 评论
Attribute Artifacts Removal for geometry-based Point Cloud Compression
arXiv
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arXiv 2021年
作者: Sheng, Xihua Li, Li Liu, Dong Xiong, Zhiwei CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, especially under low bitrate scenarios... 详细信息
来源: 评论
Deep multi-scale features learning for distorted image quality assessment
arXiv
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arXiv 2020年
作者: Zhou, Wei Chen, Zhibo CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Image quality assessment (IQA) aims to estimate human perception based image visual quality. Although existing deep neural networks (DNNs) have shown significant effectiveness for tackling the IQA problem, it still ne... 详细信息
来源: 评论