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检索条件"机构=Computer Vision and Pattern Recognition"
809 条 记 录,以下是121-130 订阅
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
arXiv
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arXiv 2023年
作者: Huang, Yi Huang, Jiancheng Liu, Jianzhuang Yan, Mingfu Dong, Yu Lyu, Jiaxi Chen, Chaoqi Chen, Shifeng Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China University of Chinese Academy of Sciences Beijing100039 China The University of Hong Kong Hong Kong
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem. To tackle it, this paper proposes a Wavelet-Based Diffusion Model (Wav... 详细信息
来源: 评论
Matching individual Ladoga ringed seals across short-term image sequences (vol 102, pg 957, 2022)
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MAMMALIAN BIOLOGY 2022年 第3期102卷 1045-1045页
作者: Nepovinnykh, E. Computer Vision and Pattern Recognition Laboratory Department of Computational Engineering School of Engineering Science Lappeenranta-Lahti University of Technology LUT P.O.Box 20 53851 Lappeenranta Finland Department of Artificial Intelligence Institute of Computer Science and Technology Peter the Great St. Petersburg Polytechnic University Polytechnicheskaya 29 Saint Petersburg Russian Federation 195251 Department of Computer Science and Computational Experiment Southern Federal University Rostov-on-Don Russian Federation 344006 Interregional Charitable Public Organization “Biologists for Nature Conservation” (BFNC) 24 line 3-7 Saint Petersburg Russian Federation 199106
Automated wildlife reidentification has attracted increasing attention in recent years as it provides a non-invasive tool to identify and to track individual wild animals over time. In this paper, the first steps are ... 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
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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
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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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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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Activating More Pixels in Image Super-Resolution Transformer
Activating More Pixels in Image Super-Resolution Transformer
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Conference on computer vision and pattern recognition (CVPR)
作者: Xiangyu Chen Xintao Wang Jiantao Zhou Yu Qiao Chao Dong State Key Laboratory of Internet of Things for Smart City University of Macau Shenzhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shanghai Artificial Intelligence Laboratory ARC Lab Tencent PCG
Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limited spatial range of input information...
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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 ...
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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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Anomaly Handwritten Text Detection for Automatic Descriptive Answer Evaluation  22
Anomaly Handwritten Text Detection for Automatic Descriptive...
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Proceedings of the 2022 11th International Conference on Computing and pattern recognition
作者: Nilanjana Chatterjee Palaiahnaakote Shivakumara Umapada Pal Tong Lu Yue Lu Computer Vision and Pattern Recognition Unit Indian Statistical Institute India Faculty of Computer Science and Information Technology University of Malaya Malaysia National Key Lab for Novel Software Technology Nanjing University China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University China
Although there are advanced technologies for character recognition, automatic descriptive answer evaluation is an open challenge for the document image analysis community due to large diversified handwritten text and ...
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