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检索条件"机构=Key Laboratory of Computer Vision and Virtual Reality Technology"
748 条 记 录,以下是491-500 订阅
排序:
Hierarchical deep co-segmentation of primary objects in aerial videos
arXiv
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arXiv 2018年
作者: Li, Jia Yuan, Pengcheng Gu, Daxin Tian, Yonghong State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University National Engineering Laboratory for Video Technology School of EE&CS Peking University Beijing China Pengcheng Laboratory Shenzhen China
Primary object segmentation plays an important role in understanding videos generated by unmanned aerial vehicles. In this paper, we propose a large-scale dataset with 500 aerial videos and manually annotated primary ... 详细信息
来源: 评论
Learning a saliency evaluation metric using crowdsourced perceptual judgments
arXiv
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arXiv 2018年
作者: Xia, Changqun Li, Jia Su, Jinming Borji, Ali State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China International Research Institute for Multidisciplinary Science Beihang University Beijing China Center for Research in Computer Vision Computer Science Department University of Central Florida OrlandoFL United States
In the area of human fixation prediction, dozens of computational saliency models are proposed to reveal certain saliency characteristics under different assumptions and definitions. As a result, saliency model benchm... 详细信息
来源: 评论
Direction-aware spatial context features for shadow detection and removal
arXiv
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arXiv 2018年
作者: Hu, Xiaowei Fu, Chi-Wing Zhu, Lei Qin, Jing Heng, Pheng-Ann Department of Computer Science and Engineering Chinese University of Hong Kong Centre for Smart Health School of Nursing Hong Kong Polytechnic University Department of Computer Science and Engineering Chinese University of Hong Kong Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China
Shadow detection and shadow removal are fundamental and challenging tasks, requiring an understanding of the global image semantics. This paper presents a novel deep neural network design for shadow detection and remo... 详细信息
来源: 评论
BlindReader: An assistant system to support text reading for the visually impaired people
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Journal of Information Hiding and Multimedia Signal Processing 2018年 第4期9卷 938-948页
作者: Guo, Fan He, Han-Dong Xiao, Yan-Ru Fu, Teng-Mu Liao, Cheng Tan, Ping School of Information Science and Engineering Central South University Changsha410083 China Key Laboratory of Hunan Province for New Retail Virtual Reality Technology School of Computer and Information Engineering Hunan University of Commerce Changsha410205 China
Accessing printed text is a great challenge for the visually impaired people. Therefore, in this paper, we introduce a visual assistant system, BlindReader, that assists visually impaired people to read printed text. ... 详细信息
来源: 评论
Data-Driven Hair Modeling from a Single Image
Data-Driven Hair Modeling from a Single Image
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International Conference on virtual reality and Visualization (ICVRV)
作者: Jiqiang Wu Yongtang Bao Yue Qi State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China Beihang University Qingdao Research Institute Qingdao China
Hair is one of the most distinctive part of a human body, which is essential for the digitization of compelling virtual avatars. We present a data-driven approach for generating complete and complex 3D hairstyles from... 详细信息
来源: 评论
Anchor-based nearest class mean loss for convolutional neural networks
arXiv
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arXiv 2018年
作者: Hao, Fusheng Cheng, Jun Wang, Lei Wang, Xinchao Cao, Jianzhong Hu, Xiping Tao, Dapeng Xi'an Institute of Optics and Precision Mechanics CAS China University of Chinese Academy of Sciences Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology Shenzhen Institutes of Advanced Technology CAS Department of Computer Science Stevens Insititute of Technology
Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning features, whose discriminant power is ... 详细信息
来源: 评论
Attentive relational networks for mapping images to scene graphs
arXiv
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arXiv 2018年
作者: Qi, Mengshi Li, Weijian Yang, Zhengyuan Wang, Yunhong Luo, Jiebo State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China Beijing Advanced Innovation Center for Big Data and Brain Computing Department of Computer Science University of Rochester United States
Scene graph generation refers to the task of automatically mapping an image into a semantic structural graph, which requires correctly labeling each extracted object and their interaction relationships. Despite the re... 详细信息
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Computing restricted Voronoi diagram on graphics hardware  25
Computing restricted Voronoi diagram on graphics hardware
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25th Pacific Conference on computer Graphics and Applications, Pacific Graphics 2017
作者: Han, Jiawei Yan, Dong-Ming Wang, Lili Zhao, Qinping State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China
The 3D restricted Voronoi diagram (RVD), defined as the intersection of the 3D Voronoi diagram of a pointset with a mesh surface, has many applications in geometry processing. There exist several CPU algorithms for co... 详细信息
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Image co-segmentation via multi-scale local shape transfer
arXiv
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arXiv 2018年
作者: Teng, Wei Zhang, Yu Chen, Xiaowu Li, Jia He, Zhiqiang State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China International Research Institute for Multidisciplinary Science Beihang University Beijing100191 China Lenovo Research China
Image co-segmentation is a challenging task in computer vision that aims to segment all pixels of the objects from a predefined semantic category. In real-world cases, however, common foreground objects often vary gre... 详细信息
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Moving object detection algorithm based on pixel background sample sets in panoramic scanning mode  17
Moving object detection algorithm based on pixel background ...
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2017 International Conference on Compute and Data Analysis, ICCDA 2017
作者: Zhang, Chi Zheng, Jin Zhang, Yugui Zhang, Zhi Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing100191 China Beijing Key Laboratory of Digital Media State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China
In order to overcome the excessive false detection of marginal noise and the object holes of the existing algorithm in outdoor panoramic surveillance, a moving object detection algorithm based on pixel background samp... 详细信息
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