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检索条件"机构=Computer Vision & Pattern Recognition Unit"
431 条 记 录,以下是61-70 订阅
排序:
CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification
CoCoNet: A Collaborative Convolutional Network applied to fi...
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International Conference on Image and vision Computing New Zealand, IVCNZ
作者: Tapabrata Chakraborti Brendan McCane Steven Mills Umapada Pal University of Otago Computer Vision and Pattern recognition Unit Indian Statistical Institute
The following topics are dealt with: convolutional neural nets; learning (artificial intelligence); image classification; computer vision; feature extraction; video signal processing; deep learning (artificial intelli... 详细信息
来源: 评论
A New Defect Detection Method for Improving Text Detection and recognition Performances in Natural Scene Images
A New Defect Detection Method for Improving Text Detection a...
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2020 Swedish Workshop on Data Science, SweDS 2020
作者: Mokayed, Hamam Shivakumara, Palaiahnakote Liwicki, Marcus Pal, Umapada University of Malaya Faculty of Computer Science and Information Technology Kuala Lumpur Malaysia Lulea University of Technology Department of Computer Science Electrical and Space Engineering Sweden Indian Statistical Institute Computer Vision and Pattern Recognition Unit Kolkata India
This paper presents a new idea for improving text detection and recognition performances by detecting defects in the text detection results. Despite the rapid development of powerful deep learning based models for sce... 详细信息
来源: 评论
A method to generate synthetically warped document image  4th
A method to generate synthetically warped document image
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4th International Conference on computer vision and Image Processing, CVIP 2019
作者: Garai, Arpan Biswas, Samit Mandal, Sekhar Chaudhuri, Bidyut B. Department of Computer Science and Technology Indian Institute of Engineering Sciences and Technology Shibpur HowrahWest Bengal711103 India Techno India University Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
The digital camera captured document images may often be warped and distorted due to different camera angles or document surfaces. A robust technique is needed to solve this kind of distortion. The research on dewarpi... 详细信息
来源: 评论
Recognizing Bengali Word Images - A Zero-Shot Learning Perspective
Recognizing Bengali Word Images - A Zero-Shot Learning Persp...
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International Conference on pattern recognition
作者: Sukalpa Chanda Daniël Haitink Prashant Kumar Prasad Jochem Baas Umapada Pal Lambert Schomaker Østfold University College Norway Faculty of Science and Engineering. Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen The Netherlands Computer Vision and Pattern Recognition Unit Indian Statistical Institute India
Zero-Shot Learning(ZSL) techniques could classify a completely unseen class, which it has never seen before during training. Thus, making it more apt for any real-life classification problem, where it is not possible ... 详细信息
来源: 评论
PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification
PProCRC: Probabilistic Collaboration of Image Patches for Fi...
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International Conference on Image and vision Computing New Zealand, IVCNZ
作者: Tapabrata Chakraborti Brendan McCane Steven Mills Umapada Pal University of Otago tapabrata mccane Computer Vision and Pattern recognition Unit Indian Statistical Institute
We present a conditional probabilistic framework for collaborative representation of image patches. It incorporates background compensation and outlier patch suppression into the main formulation itself, thus doing aw... 详细信息
来源: 评论
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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Even big data is not enough: need for a novel reference modelling for forensic document authentication
Even big data is not enough: need for a novel reference mode...
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作者: Garain, Utpal Halder, Biswajit Computer Vision and Pattern Recognition Unit and Centre for Artificial Intelligence and Machine Learning Indian Statistical Institute 203 B. T. Road Kolkata700108 India Department of CSE Narula Institute of Technology Agarpara Kolkata700109 India
With the emergence of big data, deep learning (DL) approaches are becoming quite popular in many branches of science. Forensic science is no longer an exception. However, there are certain problems in forensic science... 详细信息
来源: 评论
A New Method for Detecting Altered Text in Document Images  2nd
A New Method for Detecting Altered Text in Document Images
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2nd International Conference on pattern recognition and Artificial Intelligence, ICPRAI 2020
作者: Nandanwar, Lokesh Shivakumara, Palaiahnakote Pal, Umapada Lu, Tong Lopresti, Daniel Seraogi, Bhagesh Chaudhuri, Bidyut B. Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China Computer Science and Engineering Lehigh University BethlehemPA United States
As more and more office documents are captured, stored, and shared in digital format, and as image editing software becomes increasingly more powerful, there is a growing concern about document authenticity. For examp... 详细信息
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A Wide Learning Approach for Interpretable Feature Recommendation for 1-D Sensor Data in IoT Analytics
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International Journal of Automation and computing 2019年 第6期16卷 800-811页
作者: Snehasis Banerjee Tanushyam Chattopadhyay Utpal Garain TCS Research&Innovation Tata Consultancy ServicesEcospaceKolkata 700160India Computer Vision&Pattern Recognition Unit Indian Statistical Institute203 B.T.RoadKolkata 700108India
This paper presents a state of the art machine learning-based approach for automation of a varied class of Internet of things(Io T) analytics problems targeted on 1-dimensional(1-D) sensor data. As feature recommendat... 详细信息
来源: 评论
New Moments Based Fuzzy Similarity Measure for Text Detection in Distorted Social Media Images  5th
New Moments Based Fuzzy Similarity Measure for Text Detectio...
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5th Asian Conference on pattern recognition, ACPR 2019
作者: Roy, Soumyadip Shivakumara, Palaiahnakote Pal, Umapada Lu, Tong Blumenstein, Michael Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia National Key Lab for Novel Software Technology Nanjing University Nanjing China Faculty of Engineering and Information Technology University of Technology Sydney Australia
A trend towards capturing or filming images using cellphone and sharing images on social media is a part and parcel of day to day activities of humans. When an image is forwarded several times in social media it may b... 详细信息
来源: 评论