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检索条件"机构=The Computer Vision and Pattern Recognition Unit"
429 条 记 录,以下是41-50 订阅
Endafd: An End-to-End System for Ecg Based Atrial Fibrillation Detection
SSRN
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SSRN 2022年
作者: Basak, Shubham Das, Sudip Dasgupta, Subhrajyoti Bhattacharya, Ujjwal Narayan, Pradeep Computer Vision and Pattern Recognition Unit Indian Statistical Institute WB Kolkata India Rabindranath Tagore International Institute of Cardiac Sciences WB Kolkata India
Atrial fibrillation is one of the most common arrhythmias with significant clinical implications. When it comes to detecting and categorising different types of heart diseases, machine learning and deep learning techn... 详细信息
来源: 评论
ICDAR 2023 Video Text Reading Competition for Dense and Small Text
arXiv
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arXiv 2023年
作者: Wu, Weijia Zhao, Yuzhong Li, Zhuang Li, Jiahong Shou, Mike Zheng Pal, Umapada Karatzas, Dimosthenis Bai, Xiang Zhejiang University China University of Chinese Academy of Sciences China Kuaishou Technology China National University of Singapore Singapore Computer Vision and Pattern Recognition Unit Indian Statistical Institute India Computer Vision Centre Universitat Autónoma de Barcelona Spain Huazhong University of Science and Technology China
Recently, video text detection, tracking and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchmarks focus on common text cases (e.g.,... 详细信息
来源: 评论
Distance Metric Learned Collaborative Representation Classifier(DML-CRC)
IEEE Letters of the Computer Society
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IEEE Letters of the computer Society 2020年 第2期3卷 34-37页
作者: Chakraborti, Tapabrata McCane, Brendan Mills, Steven Pal, Umapada Department of Computer Science University of Otago Dunedin9016 New Zealand Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata700108 India
Any generic deep machine learning algorithm is essentially a function fitting exercise, where the network tunes its weights and parameters to learn discriminatory features by minimizing some cost function. Though the ... 详细信息
来源: 评论
ARNET: ACTIVE-REFERENCE NETWORK FOR FEW-SHOT IMAGE SEMANTIC SEGMENTATION
ARNET: ACTIVE-REFERENCE NETWORK FOR FEW-SHOT IMAGE SEMANTIC ...
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Shi, Guangchen Wu, Yirui Palaiahnakote, Shivakumara Pal, Umapada Lu, Tong College of Computer and Information Hohai University China Department of Computer System and Information Technology University of Malaya Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute India National Key Lab for Novel Software Technology Nanjing University China
To make predictions on unseen classes, few-shot segmentation becomes a research focus recently. However, most methods build on pixel-level annotation requiring quantity of manual work. Moreover, inherent information o... 详细信息
来源: 评论
TIC: Text-Guided Image Colorization
arXiv
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arXiv 2022年
作者: Ghosh, Subhankar Roy, Prasun Bhattacharya, Saumik Pal, Umapada Blumenstein, Michael Faculty of Engineering and IT University of Technology SydneyNSW Australia The Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Indian Institute of Technology Kharagpur India
Image colorization is a well-known problem in computer vision. However, due to the ill-posed nature of the task, image colorization is inherently challenging. Though several attempts have been made by researchers to m... 详细信息
来源: 评论
ClueNet: A deep framework for occluded pedestrian pose estimation  30
ClueNet: A deep framework for occluded pedestrian pose estim...
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30th British Machine vision Conference, BMVC 2019
作者: Kishore, Perla Sai Raj Das, Sudip Mukherjee, Partha Sarathi Bhattacharya, Ujjwal Institute of Engineering and Management Kolkata India Indian Statistical Institute Computer Vision and Pattern Recognition Unit Kolkata India
Pose estimation of a pedestrian helps to gather information about the current activity or the instant behaviour of the subject. Such information is useful for autonomous vehicles, augmented reality, video surveillance... 详细信息
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A New Lightweight Attention-based Model for Emotion recognition on Distorted Social Media Face Images
TechRxiv
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TechRxiv 2023年
作者: Roy, Ayush Shivakumara, Palaiahnakote Pal, Umapada Gornale, Shivanand S. Liu, Cheng-Lin Jadavpur University India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Science Rani Channamma University Belagavi India Institute of Automation Chinese Academy of Sciences China
The recognition of human emotions remains a challenging task for social media images. This is due to distortions created by different social media conflict with the minute changes in facial expression. This study pres... 详细信息
来源: 评论
MIO: Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
arXiv
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arXiv 2021年
作者: Manna, Siladittya Pal, Umapada Bhattacharya, Saumik Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur India
Self-supervised contrastive learning frameworks have progressed rapidly over the last few years. In this paper, we propose a novel mutual information optimization-based loss function for contrastive learning. We model... 详细信息
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TREC 2020 NEWS Track Background Linking Task  29
TREC 2020 NEWS Track Background Linking Task
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29th Text REtrieval Conference, TREC 2020
作者: Gautam, Rahul Mitra, Mandar Roy, Dwaipayan Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B.T.Road Kolkata700108 India
The Background Linking task is a problem that focuses on providing users with suggestions for articles to read next, when the user is reading a news article. The suggested articles should provide adequate context and ...
来源: 评论
Reconnoitering the class distinguishing abilities of the features, to know them better
arXiv
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arXiv 2022年
作者: Sadhukhan, Payel Palit, Sarbani Sengupta, Kausik Institute for Advancing Intelligence Tcg Crest West Bengal Kolkata700091 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute West Bengal Kolkata700108 India
The relevance of machine learning (ML) in our daily lives is closely intertwined with its explainability. Explainability can allow end-users to have a transparent and humane reckoning of a ML scheme's capability a... 详细信息
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