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检索条件"机构=Key Laboratory of Technology in Geospatial Information Processing and Application System"
549 条 记 录,以下是271-280 订阅
排序:
No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image
No-Reference Light Field Image Quality Assessment Based on M...
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Picture Coding Symposium, PCS
作者: Ziyuan Luo Wei Zhou Likun Shi Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be represented as 4-D signal, and its quality...
来源: 评论
Improving Semantic Segmentation via Label Propagation and Temporal Consistency
Improving Semantic Segmentation via Label Propagation and Te...
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Signal, information and Data processing (ICSIDP), IEEE International Conference on
作者: Feiyu Qin Lumeng Cao Xuejin Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Semantic segmentation is a fundamental task in indoor scene understanding. Most previous supervised approaches rely on densely annotated image data sets. Due to the limited amount of images with segmentation labels, t...
来源: 评论
Deep Scalable Image Compression via Hierarchical Feature Decorrelation
Deep Scalable Image Compression via Hierarchical Feature Dec...
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Picture Coding Symposium, PCS
作者: 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 Hefei China
The following topics are dealt with: video coding; data compression; image coding; convolutional neural nets; decoding; learning (artificial intelligence); motion compensation; video codecs; image reconstruction; filt...
来源: 评论
InSAR DEM Reconstruction Based on Backprojection Algorithm in Two Converse Flights  6
InSAR DEM Reconstruction Based on Backprojection Algorithm i...
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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
作者: Hu, Xiaoning Xiang, Maosheng Wang, Bingnan Fu, Xikai University of Chinese Academy of Sciences National Key Laboratory of Science and Technology on Microwave Imaging Institute of Electronics Chinese Academy of Sciences Beijing100190 China National Key Laboratory of Science and Technology on Microwave Imaging Institute of Electronics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing100190 China
Interferometric synthetic aperture radar (InSAR) can be used to extract digital elevation model (DEM) with high accuracy. However, the side looking geometry of synthetic aperture radar (SAR) may cause geometric distor... 详细信息
来源: 评论
A coarse-to-fine framework for learned color enhancement with non-local attention
arXiv
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arXiv 2019年
作者: Shan, Chaowei 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
Automatic color enhancement is aimed to adaptively adjust photos to expected styles and tones. For current learned methods in this field, global harmonious perception and local details are hard to be well-considered i... 详细信息
来源: 评论
No-reference light field image quality assessment based on micro-lens image
arXiv
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arXiv 2019年
作者: Luo, Ziyuan Zhou, Wei Shi, Likun Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be represented as 4-D signal, and its quality... 详细信息
来源: 评论
RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance
RC-CNN: Representation-Consistent Convolutional Neural Netwo...
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IEEE International Conference on systems, Man and Cybernetics
作者: Jun Gu Anfeng He Xinmei Tian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui China
Convolutional neural networks (CNNs) are powerful and have achieved state-of-the-art performance in many visual recognition tasks. Despite their impressive performance, CNNs are still unable to remain invariant while ... 详细信息
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Learned fast HEVC intra coding
arXiv
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arXiv 2019年
作者: Chen, Zhibo Shi, Jun Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In High Efficiency Video Coding (HEVC), excellent rate-distortion (RD) performance is achieved in part by having a flexible quadtree coding unit (CU) partition and a large number of intra-prediction modes. Such an exc... 详细信息
来源: 评论
3D reconstruction and error analysis of multi-view space-borne SAR images under different configurations
3D reconstruction and error analysis of multi-view space-bor...
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IET International Radar Conference 2018, IRC 2018
作者: Wang, Chao Qiu, Xiaolan Li, Fangfang Lei, Bin University of the Chinese Academy of Sciences Beijing China Institute of Electrics Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electrics Chinese Academy of Sciences Beijing China
Synthetic aperture radar (SAR) has a good ability to detect the microwave scattering characteristics of the target and has a good capability of slant range Doppler positioning. Using multi-view SAR images in combinati... 详细信息
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Deep learning-based video coding: A review and a case study
arXiv
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arXiv 2019年
作者: Liu, Dong Li, Yue Lin, Jianping 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 China
The past decade has witnessed great success of deep learning technology in many disciplines, especially in computer vision and image processing. However, deep learning-based video coding remains in its infancy. This p... 详细信息
来源: 评论