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检索条件"机构=Computer Vision and Pattern Recognition"
818 条 记 录,以下是411-420 订阅
排序:
Incorporating User Provided Constraints into Document Clustering
Incorporating User Provided Constraints into Document Cluste...
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IEEE International Conference on Data Mining (ICDM)
作者: Yanhua Chen Manjeet Rege Ming Dong Jing Hua Department of Computer Science Machine Vision and Pattern Recognition Laboratory Detroit MI USA Department of Computer Science Graphics and Imaging Laboratory Detroit MI USA
Document clustering without any prior knowledge or background information is a challenging problem. In this paper, we propose SS-NMF: a semi-supervised non- negative matrix factorization framework for document cluster... 详细信息
来源: 评论
Performance evaluation of DTW and its variants for word spotting in degraded documents
Performance evaluation of DTW and its variants for word spot...
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International Conference on Document Analysis and recognition
作者: Tanmoy Mondal Nicolas Ragot Jean-Yves Ramel Umapada Pal Université François Rabelais Laboratory of Computer Science (LI) Tours France Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
In word spotting literature, classical DTW has been widely employed. However there exists several other improved versions of DTW along with other robust sequence matching techniques. Very few of them have been studied... 详细信息
来源: 评论
Date field extraction in handwritten documents
Date field extraction in handwritten documents
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International Conference on pattern recognition
作者: Ranju Mandal Partha Pratim Roy Umapada Pal Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Laboratoire dInformatique Université François Rabelais Tours France
Automatic extraction of date patterns from handwritten document involves difficult challenges due to writing styles of different individuals, touching characters and confusion among identification of alphabets and dig... 详细信息
来源: 评论
Efficient Image Super-Resolution Using Pixel Attention  16th
Efficient Image Super-Resolution Using Pixel Attention
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Workshops held at the 16th European Conference on computer vision, ECCV 2020
作者: Zhao, Hengyuan Kong, Xiangtao He, Jingwen Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective network with a newly proposed pixel att... 详细信息
来源: 评论
Adaptive Pyramid Context Network for Semantic Segmentation
Adaptive Pyramid Context Network for Semantic Segmentation
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IEEE/CVF Conference on computer vision and pattern recognition
作者: Junjun He Zhongying Deng Lei Zhou Yali Wang Yu Qiao Shenzhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
Recent studies witnessed that context features can significantly improve the performance of deep semantic segmentation networks. Current context based segmentation methods differ with each other in how to construct co... 详细信息
来源: 评论
Comparative Study of Devnagari Handwritten Character recognition Using Different Feature and Classifiers
Comparative Study of Devnagari Handwritten Character Recogni...
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International Conference on Document Analysis and recognition
作者: Umapada Pal Tetsushi Wakabayashi Fumitaka Kimura Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Graduate School of Engineering TSU Mie University Mie Japan
In recent years research towards Indian handwritten character recognition is getting increasing attention. Many approaches have been proposed by the researchers towards handwritten Indian character recognition and man... 详细信息
来源: 评论
Conditional Sequential Modulation for Efficient Global Image Retouching  16th
Conditional Sequential Modulation for Efficient Global Image...
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16th European Conference on computer vision, ECCV 2020
作者: He, Jingwen Liu, Yihao Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT - SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation. Practically, photo retouching can be... 详细信息
来源: 评论
Computational Intelligence Techniques in Diagnosis of Brain Diseases  1st ed. 2018
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丛书名: SpringerBriefs in Applied Sciences and Technology
2018年
作者: Sasikumar Gurumoorthy Naresh Babu Muppalaneni Xiao-Zhi Gao
来源: 评论
Local gradient difference features for classification of 2D-3D natural scene text images  25
Local gradient difference features for classification of 2D-...
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25th International Conference on pattern recognition, ICPR 2020
作者: Nandanwar, Lokesh Shivakumara, Palaiahnakote Raghavendra, Ramachandra Lu, Tong Pal, Umapada Lopresti, Daniel Anuar, Nor Badrul Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Faculty of Information Technology and Electrical Engineering IIK NTNU Norway National Key Lab for Novel Software Technology Nanjing University Nanjing China Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Computer Science and Engineering Lehigh University BethlehemPA United States
Methods developed for normal 2D text detection do not work well for text that is rendered using decorative, 3D effects, etc. This paper proposes a new method for classification of 2D and 3D natural scene text images s... 详细信息
来源: 评论
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers
Modulating Image Restoration with Continual Levels via Adapt...
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IEEE/CVF Conference on computer vision and pattern recognition
作者: Jingwen He Chao Dong Yu Qiao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences
In image restoration tasks, like denoising and super-resolution, continual modulation of restoration levels is of great importance for real-world applications, but has failed most of existing deep learning based image... 详细信息
来源: 评论