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检索条件"机构=Laboratory of Information and Computer Systems in Automation"
383 条 记 录,以下是61-70 订阅
排序:
STA+: Spatiotemporal Adaptation with Adaptive Model Selection for Video Action Recognition
STA+: Spatiotemporal Adaptation with Adaptive Model Selectio...
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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on
作者: Minghui Li Chunjie Zhang Xiaolong Zheng Beijing Key Laboratory of Advanced Information Science and Network Technology School of Computer Science and Technology Beijing Jiaotong University Beijing China State Key Laboratory of Multimodal Artifical Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
Recent breakthroughs in video models have achieved remarkable success by integrating vision transformers into the video domain through adaptation. However, prevalent approaches in existing literature often entail a si... 详细信息
来源: 评论
Dense Video Captioning through Convolutional-Transformer Integration
Dense Video Captioning through Convolutional-Transformer Int...
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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on
作者: Jiaxi Cao Chunjie Zhang Xiaolong Zheng Beijing Key Laboratory of Advanced Information Science and Network Technology School of Computer Science and Technology Beijing Jiaotong University Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
Dense video captioning, a task that has recently garnered attention in the field of computer vision, focuses on generating detailed captions for multiple events along with their temporal locations within untrimmed vid... 详细信息
来源: 评论
Adversarial attack method with adaptive step size for ID card text recognition
Adversarial attack method with adaptive step size for ID car...
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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on
作者: Weidong Feng Chunjie Zhang Xiaolong Zheng Beijing Key Laboratory of Advanced Information Science and Network Technology School of Computer Science and Technology Beijing Jiaotong University Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China
In the field of text recognition models, existing adversarial attack algorithms mainly target white-box scenarios, which are usually limited to single-color backgrounds and short text length. However, with the complex... 详细信息
来源: 评论
Efficient Graph Neural Network Driven Recurrent Reinforcement Learning for GNSS Position Correction  36
Efficient Graph Neural Network Driven Recurrent Reinforcemen...
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36th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2023
作者: Zhao, Haoli Tang, Jianhao Li, Zhenni Wu, Zhuoyu Xie, Shengli Wu, Zhaofeng Liu, Ming Kumara, Banage T.G.S. School of Automation Guangdong University of Technology Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou510006 China Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing Guangzhou510006 China Guangdong Key Laboratory of IoT Information Technology Guangzhou510006 China Techtotop Microelectronics Technology Co. Ltd. Guangzhou510000 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Department of Computing and Information Systems Sabaragamuwa University of Sri Lanka Belihuloya Sri Lanka
With the wide applications of the Global Navigation Satellite System (GNSS) in autonomous driving scenarios, the demand for high-precision positioning of navigation systems has increased dramatically in complex multip...
来源: 评论
Noninvasive Tracking of Every Individual in Unmarked Mouse Groups Using Multi-Camera Fusion and Deep Learning
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Neuroscience Bulletin 2023年 第6期39卷 893-910页
作者: Feng Su Yangzhen Wang Mengping Wei Chong Wang Shaoli Wang Lei Yang Jianmin Li Peijiang Yuan Dong-Gen Luo Chen Zhang Department of Neurobiology School of Basic Medical SciencesBeijing Key Laboratory of Neural Regeneration and RepairCapital Medical UniversityBeijing100069China Chinese Institute for Brain Research Beijing102206China State Key Laboratory of Translational Medicine and Innovative Drug Development Nanjing210000China Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing100871China School of Life Sciences Tsinghua UniversityBeijing100084China School of Biological Science and Medical Engineering Beihang UniversityBeijing100191China The Key Laboratory of Developmental Genes and Human Disease Institute of Life SciencesSoutheast UniversityNanjing210096JiangsuChina Institute for Artificial Intelligence the State Key Laboratory of Intelligence Technology and SystemsBeijing National Research Center for Information Science and TechnologyDepartment of Computer Science and TechnologyTsinghua UniversityBeijing100084China School of Mechanical Engineering and Automation Beihang UniversityBeijing100191China
Accurate and efficient methods for identifying and tracking each animal in a group are needed to study complex behaviors and social *** tracking methods(e.g.,marking each animal with dye or surgically implanting micro... 详细信息
来源: 评论
Energy Efficiency Optimization for Full-Duplex D2D Communications Underlaying Distributed Antenna systems
IEEE Transactions on Green Communications and Networking
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IEEE Transactions on Green Communications and Networking 2024年
作者: Liu, Zhan Liao, Zhiyuan Li, Chunquan Zhang, Zhijun Yu, Junzhi Liu, P.X. Hunan University of Humanities Science and Technology School of Information Loudi417000 China Nanchang University School of Information Engineering Nanchang330031 China Jiangxi Provincial Key Laboratory of Intelligent Systems and Human-Machine Interaction Nanchang330031 China South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada
In this paper, we investigate the total system energy efficiency (EE) of full-duplex (FD) device-to-device (D2D) communications underlaying distributed antenna systems (DAS), where remote access units (RAUs), D2D user... 详细信息
来源: 评论
A Simplified Variant for Graph Convolutional Network Based Knowledge Graph Completion Model  8
A Simplified Variant for Graph Convolutional Network Based K...
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8th International Conference on Data Science in Cyberspace, DSC 2023
作者: Wang, Yashen Li, Qiang Zhang, Yi Zhang, Xuecheng Ju, Zhuoya Sun, Jian Beijing China Scientific and Technological Innovation Center of Ari Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex Systems Beijing China Cetc Academy of Electronics and Information Technology Group Co. Ltd. Beijing China Khoury College of Computer Science Northeastern University United States Scientific and Technological Innovation Center of Ari Beijing China Qi An Xin Technology Group Inc. Beijing China
Knowledge graphs (KGs) serve as useful resources for various applications including machine learning, data mining, and artificial intelligence. Knowledge Graph Completion (KGC) aims at reasoning over known (observed) ... 详细信息
来源: 评论
Global TPACK Framework Analysis from the Perspective of Knowledge Graph  24
Global TPACK Framework Analysis from the Perspective of Know...
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Proceedings of the 2024 2nd International Conference on information Education and Artificial Intelligence
作者: Yingchan Hu Jincheng Zhou Dan Wang Qingna Pan Duo Yang Yexue Pan Tao Hai Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province School of Computer and Information Qiannan Normal University for Nationalities Duyun Guizhou China Key Laboratory of Industrial Automation and Machine Vision of Guizhou Province School of Mathematics and Statistics Qiannan Normal University for Nationalities Duyun Guizhou China Affiliated Middle School of Qiannan Normal University for Nationalities Duyun Guizhou China
Currently, TPACK, as a teacher guidance framework, has received widespread attention from scholars both domestically and internationally. In order to elucidate the current status, focal points, and evolutionary patter... 详细信息
来源: 评论
Distributed Online Convex Optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition
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IEEE Transactions on Automatic Control 2025年
作者: Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden
This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordin... 详细信息
来源: 评论
Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint Semantic Encoding and Prompt Engineering
arXiv
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arXiv 2024年
作者: Liu, Yinqiu Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Mao, Shiwen Zhang, Ping Shen, Xuemin Sherman School of Computer Science and Engineering Nanyang Technological University Singapore School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Department of Electrical and Computer Engineering Auburn University Auburn United States State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China Department of Electrical and Computer Engineering University of Waterloo Canada
Employing massive Mobile AI-Generated Content (AIGC) Service Providers (MASPs) with powerful models, high-quality AIGC services can become accessible for resource-constrained end users. However, this advancement, refe... 详细信息
来源: 评论