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检索条件"机构=Department of Computer Vision and Pattern Recognition"
287 条 记 录,以下是141-150 订阅
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Image compression with recurrent neural network and generalized divisive normalization
arXiv
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arXiv 2021年
作者: Islam, Khawar Dang, L. Minh Lee, Sujin Moon, Hyeonjoon Computer Vision and Pattern Recognition Lab. Sejong University Korea Republic of Department of Artificial Intelligence Sejong University Korea Republic of
Image compression is a method to remove spatial redundancy between adjacent pixels and reconstruct a high-quality image. In the past few years, deep learning has gained huge attention from the research community and p... 详细信息
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Advances in Biometric Person Authentication  1
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丛书名: Lecture Notes in computer Science
1000年
作者: Stan Z. Li Zhenan Sun Tieniu Tan Sharath Pankanti Gérard Chollet David Zhang
来源: 评论
Online non-feedback image re-ranking via dominant data selection
Online non-feedback image re-ranking via dominant data selec...
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20th ACM International Conference on Multimedia, MM 2012
作者: Cao, Chen Chen, Shifeng Li, Yuhong Liu, Jianzhuang Shenzhen Key Laboratory for Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Information Engineering Chinese University of Hong Kong Hong Kong Media Lab. Huawei Technologies Co. Ltd. China
Image re-ranking aims at improving the precision of keyword-based image retrieval, mainly by introducing visual features to re-rank. Many existing approaches require offline training for every keyword, which are unsui... 详细信息
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A novel approach for delineation and feature extraction in QRS complex of ECG signal
A novel approach for delineation and feature extraction in Q...
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2011 International Conference on Image Information Processing, ICIIP 2011
作者: Pramanik, Sayak Mitra, Rupendra Nath Mitra, Sucharita Chaudhuri, Bidyut Baran Department of Electronics and Communication Institute of Engineering and Management Kolkata India Network Planning and Optimization Nokia Siemens Networks Pvt. Ltd. Kolkata India Department of Electronics Netaji Nagar Day College Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
This paper reports the development of a software suite to be accessed in future with any General Packet Radio Service (GPRS) enabled mobile phone or Personal Digital Assistant (PDA) for the extraction and analysis of ... 详细信息
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A New DCT-FFT Fusion Based Method for Caption and Scene Text Classification in Action Video Images  2nd
A New DCT-FFT Fusion Based Method for Caption and Scene Text...
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2nd International Conference on pattern recognition and Artificial Intelligence, ICPRAI 2020
作者: Nandanwar, Lokesh Shivakumara, Palaiahnakote Manna, Suvojit Pal, Umapada Lu, Tong Blumenstein, Michael Faculty of Computer Science and Information Technology University of Malayasia Kuala Lumpur Malaysia Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China University of Technology Sydney Ultimo Australia
Achieving better recognition rate for text in video action images is challenging due to multi-type texts with unpredictable backgrounds. We propose a new method for the classification of captions (which is edited text... 详细信息
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ISIgraphy: A tool for online handwriting sample database generation
ISIgraphy: A tool for online handwriting sample database gen...
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National Conference on computer vision, pattern recognition, Image Processing and Graphics (NCVPRIPG)
作者: Arindam Das Ujjwal Bhattacharya Department of Computer Science & Engineering Narula Institute of Technology Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute (ISI) Kolkata India
Online handwriting recognition research has recently received significant thrust. Specifically for Indian scripts, handwriting recognition has not been focused much till in the near past. However, due to generous Gove... 详细信息
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Robust stereo on multiple resolutions
Robust stereo on multiple resolutions
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International Conference on pattern recognition
作者: C. Menard A. Leonardis Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria Computer and InformationScience. Computer Vision Laboratory University of Ljubljana Ljubljana Slovenia
Stereo computation is one of the vision problems where the presence of outliers cannot be neglected. Most standard algorithms make unrealistic assumptions about noise distributions, which leads to erroneous results th... 详细信息
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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
Scene text detection using sparse stroke information and MLP
Scene text detection using sparse stroke information and MLP
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International Conference on pattern recognition
作者: Aruni Roy Chowdhury Ujjwal Bhattacharya Swapan K. Parui Department of Information Technology Heritage Institute of Technology Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
In this article, we present a novel set of features for detection of text in images of natural scenes using a multi-layer perceptron (MLP) classifier. An estimate of the uniformity in stroke thickness is one of our fe... 详细信息
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Complex 3D General Object Reconstruction from Line Drawings
Complex 3D General Object Reconstruction from Line Drawings
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International Conference on computer vision (ICCV)
作者: Linjie Yang Jianzhuang Liu Xiaoou Tang Department of Information Engineering Chinese University of Hong Kong Shenzhen Key Lab of Computer Vision and Pattern Recognition Chinese Academy of Sciences China
An important topic in computer vision is 3D object reconstruction from line drawings. Previous algorithms either deal with simple general objects or are limited to only manifolds (a subset of solids). In this paper, w... 详细信息
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