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检索条件"机构=Computer Vision and Robotics Lab"
258 条 记 录,以下是101-110 订阅
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Millimeter-wave radar image analysis for the traffic sensing  2
Millimeter-wave radar image analysis for the traffic sensing
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2nd Spring International Conference on Defence Technology, ICDT 2020
作者: Wu, H.M. Qi, F. Wang, J.K. Wang, Y. School of Communication Science and Engineering Northeastern University Liaoning Province Shenyang110819 China Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences China Key Lab of Image Understanding and Computer Vision Liaoning Province Shenyang110016 China
Millimeter-wave(MMW) radar sensing is one of the most promising technologies to provide safe navigation for autonomous vehicles due to its expected high-resolution imaging capability However, driverless cars have high... 详细信息
来源: 评论
A Novel LOS Rate Estimation Method Based on Images for Strap-down Inertial Guidance  3
A Novel LOS Rate Estimation Method Based on Images for Strap...
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2020 3rd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2020
作者: Xu, Zheng Luo, Haibo Hui, Bin Chang, Zheng Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Science Shenyang110016 China Key Lab of Image Understanding and Computer Vision Shenyang110016 China
With the development of technology, precision guided weapon is becoming more and more important in modern war. In order to launch our recent guidance system on medium and small guided weapons, we propose a method to o... 详细信息
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Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks
Same Same but Different: Augmentation of Tiny Industrial Dat...
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Swiss Conference on Data Science (SDS)
作者: Evangelos Ntavelis Iason Kastanis Luc Van Gool Radu Timofte CVL ETH Zurich Robotics & ML CSEM SA Zurich Switzerland Robotics & ML CSEM SA Alpnach Switzerland CVL ETH Zurich PSI ESAT KU Leuven Zurich Switzerland Computer Vision Lab D-ITET ETH Zurich Zurich Switzerland
The evolution of generative adversarial networks has permitted the generation of realistic fake images which, in some cases, are indistinguishable from the real ones. Many recent works in image generation focus on lea... 详细信息
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OTE: Optimal Trustworthy EdgeAI solutions for smart cities
OTE: Optimal Trustworthy EdgeAI solutions for smart cities
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IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)
作者: Vasileios Mygdalis Lorenzo Carnevale Jose Ramiro Martí nez-De-Dios Dmitriy Shutin Giovanni Aiello Massimo Villari Ioannis Pitas Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Department of Mathematical and Computer Science Physics and Hearth Sciences University of Messina Messina Italy Gruppo Nazionale per il Calcolo Scientifico (GNCS) Istituto Nazionale di Alta Matematica (INdAM) &#x201C F. Severi&#x201D Rome Italy Robotics Vision and Control Group University of Seville Seville Spain Institute of Communications and Navigation German Aerospace Center (DLR) Wessling Germany Research and Development Lab. Engineering Ingegneria Informatica S.p.A Rome Italy
This work studies and defines the problem of providing extensive and opportunistic Edge AI-based area coverage in smart city application scenarios, by researching and determining the optimal configuration of sensing a... 详细信息
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Context-transformer: Tackling object confusion for few-shot detection
arXiv
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arXiv 2020年
作者: Yang, Ze Wang, Yali Chen, Xianyu Liu, Jianzhuang Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Huawei Noah’s Ark Lab. SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society
Few-shot object detection is a challenging but realistic scenario, where only a few annotated training images are available for training detectors. A popular approach to handle this problem is transfer learning, i.e.,... 详细信息
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Research on Neural Networks Integration for Object Classification in Video Analysis Systems
Research on Neural Networks Integration for Object Classific...
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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
作者: Ivan Fomin Vladislav Burin Aleksandr Bakhshiev Computer vision lab Russian State Scientific Center for Robotics and Technical Cybernetics Saint-Petersburg Russia Institute of Metallurgy Mechanical Engineering and Transport Peter the Great St.Petersburg Polytechnic University Saint-Petersburg Russia
Object recognition with the help of outdoor video surveillance cameras is an important task in the context of ensuring the security at enterprises, public places and even private premises. There have long existed syst...
来源: 评论
Attention-driven dynamic graph convolutional network for multi-label image recognition
arXiv
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arXiv 2020年
作者: Ye, Jin He, Junjun Peng, Xiaojiang Wu, Wenhao Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China School of Biomedical Engineering Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China
Recent studies often exploit Graph Convolutional Network (GCN) to model label dependencies to improve recognition accuracy for multi-label image recognition. However, constructing a graph by counting the label co-occu... 详细信息
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Conditional sequential modulation for efficient global image retouching
arXiv
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arXiv 2020年
作者: He, Jingwen Liu, Yihao Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China SIAT Branch Shenzhen Institute of Artificial Intelligence Robotics for Society Korea Republic of University of Chinese Academy of Sciences China
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation. Practically, photo retouching can be... 详细信息
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A learning-based method for online adjustment of C-arm cone-beam CT source trajectories for artifact avoidance
arXiv
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arXiv 2020年
作者: Thies, Mareike Zäch, Jan-Nico Gao, Cong Taylor, Russell Navab, Nassir Maier, Andreas Unberath, Mathias Laboratory for Computational Sensing + Robotics Johns Hopkins University BaltimoreMD United States Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Computer Vision Laboratory Eidgenössische Technische Hochschule Zürich
Purpose: During spinal fusion surgery, screws are placed close to critical nerves suggesting the need for highly accurate screw placement. Verifying screw placement on high-quality tomographic imaging is essential. C-... 详细信息
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Global semantic description of objects based on prototype theory
arXiv
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arXiv 2019年
作者: Pino, Omar Vidal Nascimento, Erickson R. Campos, Mario F.M. Universidade Federal de Minas Gerais Computer Science Department Computer Vision and Robotics Lab Belo Horizonte Minas Gerais Brazil
In this paper, we introduce a novel semantic description approach based on Prototype Theory foundations. Inspired by the human approach used for representing categories, we propose a Computational Prototype Model (CPM... 详细信息
来源: 评论