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检索条件"机构=Intelligent Robotics and Computer Vision Group/Department of Computer Science and Mathematics"
284 条 记 录,以下是61-70 订阅
排序:
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
arXiv
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arXiv 2022年
作者: Xing, Hao Burschka, Darius Technical University of Munich Machine Vision and Perception Group Munich Institute of Robotics and Machine Intelligence Department of Computer Science Parkring 13 Munich85748 Germany
In skeleton-based action recognition, Graph Convolutional Networks model human skeletal joints as vertices and connect them through an adjacency matrix, which can be seen as a local attention mask. However, in most ex... 详细信息
来源: 评论
Traffic Sign Detection With Event Cameras and DCNN
arXiv
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arXiv 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 Kraków Poland Department of Digital Systems Silesian University of Technology Gliwice Poland
In recent years, event cameras (DVS – Dynamic vision Sensors) have been used in vision systems as an alternative or supplement to traditional cameras. They are characterised by high dynamic range, high temporal resol... 详细信息
来源: 评论
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking  1
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International Conference on computer vision and Graphics, ICCVG 2020
作者: Przewlocka, Dominika Wasala, Mateusz Szolc, Hubert Blachut, Krzysztof 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 paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for... 详细信息
来源: 评论
A vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV  1
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International Conference on computer vision and Graphics, ICCVG 2020
作者: Blachut, Krzysztof Szolc, Hubert Wasala, Mateusz Kryjak, Tomasz Gorgon, Marek Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland
In this paper we present a vision based hardware-software control system enabling the autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows for the detection of a marked landing pa... 详细信息
来源: 评论
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
arXiv
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arXiv 2022年
作者: Luo, Cheng Song, Siyang Xie, Weicheng Shen, Linlin Gunes, Hatice Computer Vision Institute Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China Guangdong Key Laboratory of Intelligent Information Processing China Department of Computer Science and Technology University of Cambridge United Kingdom
The activations of Facial Action Units (AUs) mutually influence one another. While the relationship between a pair of AUs can be complex and unique, existing approaches fail to specifically and explicitly represent su... 详细信息
来源: 评论
Towards AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety
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IEEE Internet of Things Journal 2025年
作者: Ahmed, Imran Ahmad, Misbah Siddiqi, Muftooh Ur Rehman Chehri, Abdellah Jeon, Gwangill Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom University of West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Hartpury University Department of Animal and Agriculture Gloucester United Kingdom Aston University College of Engineering and Physical Sciences Birmingham United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of
In the rapidly advancing field of intelligent transportation systems, integrating Artificial Intelligence (AI) with edge computing presents a promising way to enhance the safety and efficiency of the Internet of Vehic... 详细信息
来源: 评论
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control
arXiv
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arXiv 2025年
作者: Zhang, Kecheng Liu, Ya-Feng Wang, Zhongbin Yuan, Weijie Keskin, Musa Furkan Wymeersch, Henk Xia, Shuqiang School of System Design and Intelligent Manufacturing The Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Electrical Engineering Chalmers University of Technology Gothenburg41296 Sweden ZTE Corporation The State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518055 China
Integrated sensing and communication (ISAC) has been considered a key feature of next-generation wireless networks. This paper investigates the joint design of the radar receive filter and dual-functional transmit wav... 详细信息
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Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
arXiv
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arXiv 2023年
作者: Liu, Yuyang Cong, Yang Goswami, Dipam Liu, Xialei van de Weijer, Joost State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China University of Chinese Academy of Sciences China South China University of Technology China Computer Vision Center Barcelona Spain VCIP CS Nankai University China Department of Computer Science Universitat Autònoma de Barcelona Spain
In incremental learning, replaying stored samples from previous tasks together with current task samples is one of the most efficient approaches to address catastrophic forgetting. However, unlike incremental classifi... 详细信息
来源: 评论
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
arXiv
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arXiv 2022年
作者: Rosano, Marco Furnari, Antonino Gulino, Luigi Santoro, Corrado Farinella, Giovanni Maria FPV@IPLAB - Department of Mathematics and Computer Science University of Catania Catania Italy Robotics Laboratory Department of Mathematics and Computer Science University of Catania Catania Italy OrangeDev s.r.l. Firenze Italy Cognitive Robotics and Social Sensing Laboratory ICAR-CNR Palermo Italy Next Vision s.r.l. Catania Italy
Robot visual navigation is a relevant research topic. Current deep navigation models conveniently learn the navigation policies in simulation, given the large amount of experience they need to collect. Unfortunately, ... 详细信息
来源: 评论
Image-Based Navigation in Real-World Environments Via Multiple Mid-Level Representations: Fusion Models, Benchmark and Efficient Evaluation
SSRN
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SSRN 2022年
作者: Rosano, Marco Furnari, Antonino Gulino, Luigi Santoro, Corrado Farinella, Giovanni Maria FPV@IPLAB Department of Mathematics and Computer Science University of Catania Catania Italy Robotics Laboratory Department of Mathematics and Computer Science University of Catania Catania Italy OrangeDev s.r.l. Firenze Italy Cognitive Robotics and Social Sensing Laboratory ICAR-CNR Palermo Italy Next Vision s.r.l. Catania Italy
Robot visual navigation is a relevant research topic. Current deep navigation models mostly learn the navigation policies in simulation. This is convenient, given the efficiency offered by simulators to collect the re... 详细信息
来源: 评论