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Survey on rain removal from videos or a single image被引量：3
《Science China(Information Sciences)》2022年第1期68-90,共23页Hong WANG Yichen WU Minghan LI Qian ZHAO Deyu MENG 
supported by the National Key R&D Program of China(Grant No.2020YFA0713900);National Natural Science Foundation of China(Grant Nos.11690011,61721002,U1811461)。
Rain can cause performance degradation of outdoor computer vision tasks.Thus,the exploration of rain removal from videos or a single image has drawn considerable attention in the field of image processing.Recently,var...
关键词：rain removal maximum a posterior estimation deep learning generalization performance comprehensive repository 
Measuring quality of experience for 360-degree videos in virtual reality被引量：5
《Science China(Information Sciences)》2020年第10期104-118,共15页Muhammad Shahid ANWAR Jing WANG Asad ULLAH Wahab KHAN Sadique AHMAD Zesong FEI 
In recent years,we witness dramatic growing attention in immersive media technologies like 360-degree videos and virtual reality(VR).However,measuring the quality-of-experience(QoE)for 360-degree VR videos is not a tr...
关键词：quality of experience stalling virtual reality 360-degree video 
Deep feature extraction and motion representation for satellite video scene classification被引量：5
《Science China(Information Sciences)》2020年第4期93-107,共15页Yanfeng GU Huan LIU Tengfei WANG Shengyang LI Guoming GAO 
supported by National Natural Science Foundation of Key International Cooperation(Grant No.61720106002);Key Research and Development Project of Ministry of Science and Technology(Grant No.2017YFC1405100);National Natural Science Foundation of China(Grant No.61901141);Fundamental Research Funds for the Central Universities(Grant No.HIT.HSRIF.2020010)。
Satellite video scene classification(SVSC)is an advanced topic in the remote sensing field,which refers to determine the video scene categories from satellite videos.SVSC is an important and fundamental step for satel...
关键词：SATELLITE VIDEOS CLASSIFICATION convolutional neural network CNN long and short TERM memory LSTM MOTION REPRESENTATION 
Online illumination estimation of outdoor scenes based on videos containing no shadow area被引量：3
《Science China(Information Sciences)》2013年第3期1-11,共11页XING GuanYu ZHOU XueHong LIU YanLi QIN XueYing PENG QunSheng 
supported by National Basic Research Program of China (973 Program) (Grant No. 2009CB320802);National Natural Science Foundation of China (Grant Nos. U1035004,61173070,61103137);Open Project Program of the State Key Lab of CAD & CG,Zhejiang University (Grant No. A1112)
Real-time estimation of outdoor illumination is one of the key issues for ensuring the illumination consistency of augmented reality. In this paper, we propose a novel framework to estimate the dynamic illumi- nation ...
关键词：outdoor scenes online illumination estimation videos containing no shadow areas non-uniformskylight distribution limited scene reconstruction 
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