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检索条件"机构=Computer Vision and Robotics Laboratory"
649 条 记 录,以下是51-60 订阅
排序:
Toward Lung Ultrasound Automation: Fully Autonomous Robotic Longitudinal and Transverse Scans Along Intercostal Spaces
IEEE Transactions on Medical Robotics and Bionics
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IEEE Transactions on Medical robotics and Bionics 2025年 第2期7卷 768-781页
作者: Lei, Long Hu, Yingbai Jiang, Zixing Miao, Juzheng Luo, Xiao Zhang, Yu Wang, Qiong Wang, Shujun Li, Zheng Heng, Pheng-Ann The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China The Chinese University of Hong Kong Multi-Scale Medical Robotics Centre Ltd. Hong Kong The Chinese University of Hong Kong Department of Surgery Hong Kong Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen518055 China The Hong Kong Polytechnic University Department of Biomedical Engineering Hong Kong Chow Yuk Ho Technology Centre for Innovative Medicine Li Ka Shing Institute of Health Sciences Multiscale Medical Robotics Centre Ltd. The Chinese University of Hong Kong Department of Surgery Hong Kong
Lung ultrasound scanning is essential for diagnosing lung diseases. The scan effectiveness critically depends on both longitudinal and transverse scans through intercostal spaces to reduce rib shadowing interference, ... 详细信息
来源: 评论
Data-Driven Analysis of Skin Cancer Classification with Convolutional Neural Networks for E-Health Applications
Data-Driven Analysis of Skin Cancer Classification with Conv...
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2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Ahmed, Imran Ahmad, Misbah Chehri, Abdellah Jeon, Gwanggil Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom Hartpury University Animal and Agriculture Department Gloucester United Kingdom University of the West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of
This study explores the effectiveness of Convolutional Neural Networks (CNNs) in automatically classifying skin cancer for e-health applications. The trained model showcases impressive performance by leveraging the HA... 详细信息
来源: 评论
Image saliency detection method based on multi-feature maps fusion  4
Image saliency detection method based on multi-feature maps ...
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4th International Conference on computer Graphics, Image, and Virtualization, ICCGIV 2024
作者: Li, Xiaoli Liu, Yunpeng Zhao, Huaici Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Shenyang China The Key Lab of Image Understanding and Computer Vision Shenyang China Shenyang Jianzhu University Shenyang China
In this research, we introduce an innovative saliency detection algorithm, comprising three essential steps. Firstly, leveraging fully convolutional networks with aggregation interaction modules, we generate an initia... 详细信息
来源: 评论
Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA
arXiv
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arXiv 2022年
作者: Szolc, Hubert Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
This paper presents a system for hardware-in-the-loop (HiL) simulation of unmanned aerial vehicle (UAV) control algorithms implemented on a heterogeneous SoC FPGA computing platforms. The AirSim simulator running on a... 详细信息
来源: 评论
UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments
UnrealROX+: An Improved Tool for Acquiring Synthetic Data fr...
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2021 International Joint Conference on Neural Networks, IJCNN 2021
作者: Martinez-Gonzalez, Pablo Oprea, Sergiu Castro-Vargas, John Alejandro Garcia-Garcia, Alberto Orts-Escolano, Sergio Garcia-Rodriguez, Jose Vincze, Markus University of Alicante Department of Computer Technology Spain University of Alicante Department of Computer Science and Artificial Intelligence Spain Spain Tu Wien Vision for Robotics Laboratory Austria
Synthetic data generation has become essential in last years for feeding data-driven algorithms, which surpassed traditional techniques performance in almost every computer vision problem. Gathering and labelling the ... 详细信息
来源: 评论
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
TechRxiv
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TechRxiv 2022年
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate bot... 详细信息
来源: 评论
Towards real-time and energy efficient Siamese tracking - a hardware-software approach
TechRxiv
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TechRxiv 2022年
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Siamese trackers have been among the state-of-the-art solutions in each Visual Object Tracking (VOT) challenge over the past few years. However, with great accuracy comes great computational complexity: to achieve rea... 详细信息
来源: 评论
Playing cards and bidding calls detection for automatic registration of a duplicate bridge game
TechRxiv
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TechRxiv 2022年
作者: Wzorek, Piotr Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this work, the implementation of a playing cards and bidding calls detection system for the automatic registration of a duplicate bridge game is presented. For this purpose, two YOLOv4 deep convolutional neural net... 详细信息
来源: 评论
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation
arXiv
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arXiv 2022年
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate bot... 详细信息
来源: 评论
Towards real-time and energy efficient Siamese tracking - a hardware-software approach
arXiv
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arXiv 2022年
作者: Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
Siamese trackers have been among the state-of-the-art solutions in each Visual Object Tracking (VOT) challenge over the past few years. However, with great accuracy comes great computational complexity: to achieve rea... 详细信息
来源: 评论