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检索条件"机构=Department of Computer Vision and Pattern Recognition"
289 条 记 录,以下是1-10 订阅
排序:
Interaction Confidence Attention for Human–Object Interaction Detection
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International Journal of computer vision 2025年 1-20页
作者: Zhang, Hong-Bo Lin, Wang-Kai Su, Hang Lei, Qing Liu, Jing-Hua Du, Ji-Xiang Department of Computer Science and Technology Huaqiao University Xiamen361021 China Fujian Key Laboratory of Big Data Intelligence and Security Huaqiao University Xiamen361021 China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University Xiamen361021 China Fujian Province University Xiamen361021 China
In human–object interaction (HOI) detection task, ensuring that interactive pairs receive higher attention weights while reducing the weight of non-interaction pairs is imperative for enhancing HOI detection accuracy... 详细信息
来源: 评论
A New HourGlass Network for Detecting Text in Shaky and Non-shaky Video Frames  27th
A New HourGlass Network for Detecting Text in Shaky and Non-...
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27th International Conference on pattern recognition, ICPR 2024
作者: Halder, Arnab Palaiahnakote, Shivakumara Pal, Umapada Blumenstein, Michael Gornale, Shivanand S. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata Kolkata India School of Science Engineering and Environment University of Salford Manchester United Kingdom University of Technology Sydney Sydney Australia Department of Computer Science Rani Channamma University Belagavi India
Shaky and non-shaky videos are quite common in real-time applications such as surveillance and monitoring vehicles and human movements in protected areas. As a result, text detection in such videos is a formidable cha... 详细信息
来源: 评论
Generalist Segmentation Algorithm for Photoreceptors Analysis in Adaptive Optics Imaging  27th
Generalist Segmentation Algorithm for Photoreceptors Analys...
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27th International Conference on pattern recognition, ICPR 2024
作者: Kulyabin, Mikhail Sindel, Aline Pedersen, Hilde R. Gilson, Stuart Baraas, Rigmor Maier, Andreas Pattern Recognition Lab Department of Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany National Centre for Optics Vision and Eye Care Faculty of Health and Social Sciences University of South-Eastern Norway Kongsberg Norway
Analyzing the cone photoreceptor pattern in images obtained from the living human retina using quantitative methods can be crucial for the early detection and management of various eye conditions. Confocal adaptive op... 详细信息
来源: 评论
PulmoNetX: A Hybrid vision Transformer Approach for Multi-scale Spatial Feature Reduction in Pneumonia Classification  27th
PulmoNetX: A Hybrid Vision Transformer Approach for Multi-sc...
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27th International Conference on pattern recognition, ICPR 2024
作者: Lasker, Asifuzzaman Ghosh, Mridul Obaidullah, Sk Md Chakraborty, Chandan Roy, Kaushik Pal, Umapada Department of Computer Science and Engineering Aliah University Kolkata700160 India Department of Computer Science Shyampur Siddheswari Mahavidyalaya Howrah711312 India Department of Computer Science and Engineering National Institute of Technical Teachers’ Training and Research Kolkata700106 India Department of Computer Science West Bengal State University Barasat700126 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
An innovative deep learning structure, PulmoNetX, integrates the capabilities of Convolutional Neural Networks (CNNs) and vision Transformers (ViTs) to enhance pneumonia detection in chest X-ray imagery. During prepro... 详细信息
来源: 评论
DATR: Domain Agnostic Text Recognizer  27th
DATR: Domain Agnostic Text Recognizer
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27th International Conference on pattern recognition, ICPR 2024
作者: Purkayastha, Kunal Sarkar, Shashwat Palaiahnakote, Shivakumara Pal, Umapada Ghosal, Palash Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India School of Science Engineering and Environment University of Salford Manchester United Kingdom Department of Information Technology Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim Gangtok India
Recognizing text extracted from multiple domains is complex and challenging because complexities vary from one domain to another. Most existing methods focus either on natural scene text or specific text type but not ... 详细信息
来源: 评论
A New Attention Based UNet and Gated Edge Attention Network for Retinal Vessel Segmentation  27th
A New Attention Based UNet and Gated Edge Attention Network ...
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27th International Conference on pattern recognition, ICPR 2024
作者: Roy, Ayush Palaiahnakote, Shivakumara Pal, Umapada Chanda, Sukalpa Department of Electrical Engineering Jadavpur University Kolkata India School of Science Engineering and Environment University of Salford Salford United Kingdom Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata Kolkata India Østfold University College Halden Norway
Early diagnosis of retinal diseases is crucial for preventing blindness. However, due to background variations and degradation in the images, retinal vessel segmentation has become challenging. As a result, accurate s... 详细信息
来源: 评论
A New StyleGAN Latent Space Based Model for Image Style Transfer  27th
A New StyleGAN Latent Space Based Model for Image Style Tran...
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27th International Conference on pattern recognition, ICPR 2024
作者: Dey, Rakesh Palaiahnakote, Shivakumara Bhattacharya, Saumik Chanda, Sukalpa Pal, Umapada Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata Baranagar India School of Science Engineering and Environment University of Salford Salford United Kingdom Department of Electrical and Electronics Communication IIT-Kharagpur Kharagpur India Østfold University College Halden Norway
Cross-domain image style transfer task is an attractive topic for several applications, such as image-to-image style transfer, text-to-image style transfer, artistic image generation, etc. In cross-domain image style ... 详细信息
来源: 评论
DITS: A New Domain Independent Text Spotter  27th
DITS: A New Domain Independent Text Spotter
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27th International Conference on pattern recognition, ICPR 2024
作者: Purkayastha, Kunal Sarkar, Shashwat Shivakumara, Palaiahnakote Pal, Umapada Ghosal, Palash Wu, Xiao-Jun Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata Baranagar India School of Science Engineering and Environment University of Salford Manchester United Kingdom Department of Information Technology Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim Gangtok India Jiangnan University Wuxi China
Text spotting in diverse domains, such as drone-captured images, underwater scenes, and natural scene images, presents unique challenges due to variations in image quality, contrast, text appearance, background comple... 详细信息
来源: 评论
Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年
作者: Jain, Akshay Dubey, Shiv Ram Singh, Satish Kumar Santosh, K.C. Chaudhuri, Bidyut Baran Indian Institute of Information Technology Allahabad Computer Vision and Biometrics Lab Department of Information Technology Uttar Pradesh Prayagraj211015 India University of South Dakota AI Research Lab Department of Computer Science VermillionSD57069 United States Indian Statistical Institute Computer Vision and Pattern Recognition Unit Kolkata700108 India
Convolutional Neural Networks (CNNs) have made remarkable strides;however, they remain susceptible to vulnerabilities, particularly to image perturbations that humans can easily recognize. This weakness, often termed ... 详细信息
来源: 评论
Multi-stage query-based feature generating and encoding for robust early action recognition
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Visual computer 2025年 1-17页
作者: Chen, Jie Pan, Wei-Xiang Zhang, Hong-Bo Lin, Ming-Xuan Lei, Qing Liu, Jing-Hua Department of Computer Science and Technology Huaqiao University Xiamen 361021 China Fujxian Key Laboratory of Big Data Intelligence and Security Huaqiao University Xiamen 361021 China Xiamen Key Laboratory of Computer Vision and Pattern Recognition Huaqiao University Xiamen 361021 China
This paper proposes a novel early action recognition (EAR) method based on multi-stage query-based feature generation and encoding. Existing EAR approaches often struggle with the similarity of initial action features... 详细信息
来源: 评论