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检索条件"机构=Indian Statistical Institute Computer Vision and Pattern Recognition Unit"
436 条 记 录,以下是371-380 订阅
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ICDAR 2013 Handwriting Segmentation Contest
ICDAR 2013 Handwriting Segmentation Contest
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International Conference on Document Analysis and recognition
作者: Nikolaos Stamatopoulos Basilis Gatos Georgios Louloudis Umapada Pal Alireza Alaei Computational Intelligence Laboratory Institute of Informatics and Telecommunications National Center for Scientific Research Demokritos Athens Greece Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Computer Science Laboratory Universite Francois Rabelais Tours France
This paper presents the results of the Handwriting Segmentation Contest that was organized in the context of the ICDAR2013. The general objective of the contest was to use well established evaluation practices and pro... 详细信息
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New texture-spatial features for keyword spotting in video images
New texture-spatial features for keyword spotting in video i...
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Asian Conference on pattern recognition (ACPR)
作者: Palaiahnakote Shivakumara Guozhu Liang Sangheeta Roy Umapada Pal Tong Lu Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia National Key Lab for Novel Software Technology Nanjing University Nanjing China Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
Keyword spotting in video document images is challenging due to low resolution and complex background of video images. We propose the combination of Texture-Spatial-Features (TSF) for keyword spotting in video images ... 详细信息
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DCT-phase statistics for forged IMEI numbers and air ticket detection
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Expert Systems with Applications 2021年 164卷 114014-114014页
作者: Nandanwar, Lokesh Shivakumara, Palaiahnakote Kanchan, Swati Basavaraja, V. Guru, D.S. Pal, Umapada Lu, Tong Blumenstein, Michael Faculty of Computer Science and Information Technology University of Malaya Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Department of Studies in Computer Science University of Mysore Karnataka India National Key Lab for Novel Software Technology Nanjing University China Sydney Australia
New tools have been developing with the intention of having more flexibility and greater user-friendliness for editing the images and documents in digital technologies, but, unfortunately, they are also being used for... 详细信息
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SigNet: Convolutional siamese network for writer independent offline signature verification
arXiv
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arXiv 2017年
作者: Dey, Sounak Dutta, Anjan Ignacio Toledo, J. Ghosh, Suman K. Lladós, Josep Pal, Umapada Computer Vision Center Computer Science Dept. Universitat Autònoma de Barcelona Edifici O Campus Uab Bellaterra08193 Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Kolkata700108 India
Offline signature verification is one of the most challenging tasks in biometrics and document foren-sics. Unlike other verification problems, it needs to model minute but critical details between genuine and forged s... 详细信息
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Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
arXiv
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arXiv 2024年
作者: Jain, Akshay Dubey, Shiv Ram Singh, Satish Kumar Santosh, K.C. Chaudhuri, Bidyut Baran The Computer Vision and Biometrics Lab Department of Information Technology Indian Institute of Information Technology Allahabad Uttar Pradesh Prayagraj211015 India The AI Research Lab Department of Computer Science University of South Dakota VermillionSD57069 United States The Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India
Convolutional Neural Networks (CNNs) have made remarkable strides;however, they remain susceptible to vulnerabilities, particularly in the face of minor image perturbations that humans can easily recognize. This weakn... 详细信息
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FWLBP: A scale invariant descriptor for texture classification
arXiv
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arXiv 2018年
作者: Roy, Swalpa Kumar Bhattacharya, Nilavra Chanda, Bhabatosh Chaudhuri, Bidyut B. Ghosh, Dipak Kumar Optical Character Recognition Laboratory Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India School of Information University of Texas AustinTX78712 United States Image Processing Laboratory Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata700108 India Department of Electronics and Communication Engineering National Institute of Technology Rourkela Rourkela769008 India
In this paper we propose a novel texture descriptor called Fractal Weighted Local Binary pattern (FWLBP). The fractal dimension (FD) measure is relatively invariant to scale-changes, and presents a good correlation wi... 详细信息
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ICFHR 2012 Competition on recognition of On-Line Mathematical Expressions (CROHME 2012)
ICFHR 2012 Competition on Recognition of On-Line Mathematica...
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International Workshop on Frontiers in Handwriting recognition
作者: Harold Mouchère Christian Viard-Gaudin D.H. Kim J.H. Kim U. Garain IRCCyN/IVC-UMR CNRS 6597 Ecole Polytechnique de l'Iniversité de Nantes France Division of Computer Science Korea Advanced Institute of Science and Technology South Korea Computer Vision and Pattern Recognition (CVPR) Unit Indian Statistical Institute India
This paper presents an overview of the second Competition on recognition of Online Handwritten Mathematical Expressions, CROHME 2012. The objective of the contest is to identify current advances in mathematical expres... 详细信息
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diffGrad: An optimization method for convolutional neural networks
arXiv
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arXiv 2019年
作者: Dubey, Shiv Ram Chakraborty, Soumendu Roy, Swalpa Kumar Mukherjee, Snehasis Singh, Satish Kumar Chaudhuri, Bidyut Baran The Computer Vision Group Indian Institute of Information Technology Sri City Andhra Pradesh Chittoor517646 India The Indian Institute of Information Technology Uttar Pradesh Lucknow India The Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India Techno India University Sector V Salt Lake City Kolkata700091 India The Computer Vision and Biometrics Laboratory Indian Institute of Information Technology Allahabad211015 India
Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function has the steepest rate of change. The ma... 详细信息
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Gradient-Angular-Features for Word-wise Video Script Identification
Gradient-Angular-Features for Word-wise Video Script Identif...
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International Conference on pattern recognition
作者: Palaiahnakote Shivakumara Nabin Sharma Umapada Pal Michael Blumenstein Chew Lim Tan Faculty of Computer Science University of Malaya Kuala Lumpur Malaysia 'Griffith University Gold Coast Queensland Australia Cornputcr Vision and Pattern Recognition Unit Indian Statistical Institute India School of Computing National University of Singapore Singapore
Script identification at the word level is challenging because of complex backgrounds and low resolution of video. The presence of graphics and scene text in video makes the problem more challenging. In this paper, we... 详细信息
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Inception-based Deep Learning Architecture for Tuberculosis Screening using Chest X-rays
Inception-based Deep Learning Architecture for Tuberculosis ...
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International Conference on pattern recognition
作者: Dipayan Das K.C. Santosh Umapada Pal National Institute of Technology Durgapur India University of South Dakota Vermillion SD USA Computer Vision & Pattern Rec. Unit Indian Statistical Institute Kolkata India
The motivation for this work is the primary need of screening Tuberculosis (TB) positive patients in the severely resource constrained regions of the world. Chest X-ray (CXR) is considered to be a promising indicator ... 详细信息
来源: 评论