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检索条件"机构=Center for Computer Vision and Robotics Research Department of Computer Science"
817 条 记 录,以下是291-300 订阅
A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage
TechRxiv
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TechRxiv 2025年
作者: Hadi, Muhammad Usman Al-Tashi, Qasem Qureshi, Rizwan Shah, Abbas Muneer, Amgad Irfan, Muhammad Zafar, Anas Shaikh, Muhammad Bilal Akhtar, Naveed Al-Garadi, Mohammed Ali Hassan, Syed Zohaib Shoman, Maged Wu, Jia Mirjalili, Seyedali Shah, Mubarak School of Engineering Ulster University BelfastBT15 1AP United Kingdom Department of Imaging Physics The University of Texas MD Anderson Cancer Center HoustonTX77030 United States Department of Electronics Engineering Mehran University of Engineering and Technology Jamshoro76062 Pakistan of Engineering Sciences and Technology Swabi23460 Pakistan Department of Computer Science National University of Computer and Emerging Sciences Karachi Pakistan Edith Cowan University 270 Joondalup Drive Joondalup PerthWA6027 Australia Computing and Information Systems The University of Melbourne 700 Swanston Street CarltonVIC3010 Australia Department of Biomedical Informatics Vanderbilt University Medical Center NashvilleTN United States Department of Civil Environmental and Construction Engineering The University of Central Florida OrlandoFL United States Centre for Artificial Intelligence Research and Optimization Torrens University Australia Fortitude Valley BrisbaneQLD4006 Australia University Research and Innovation Center Obuda University Budapest1034 Hungary Center for Research in Computer Vision The University of Central Florida OrlandoFL United States
Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns... 详细信息
来源: 评论
Transductive zero-shot learning by decoupled feature generation
arXiv
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arXiv 2021年
作者: Marmoreo, Federico Cavazza, Jacopo Murino, Vittorio Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Italy University of Genova Italy Huawei Technologies Ltd. Ireland Research Center Ireland Department of Computer Science University of Verona Italy
In this paper, we address zero-shot learning (ZSL), the problem of recognizing categories for which no labeled visual data are available during training. We focus on the transductive setting, in which unlabelled visua... 详细信息
来源: 评论
Towards Cross-device and Training-free Robotic Grasping in 3D Open World
arXiv
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arXiv 2024年
作者: Zhao, Weiguang Jiang, Chenru Zhang, Chengrui Sun, Jie Yan, Yuyao Zhang, Rui Huang, Kaizhu Department of Computer Science University of Liverpool LiverpoolL69 7ZX United Kingdom Data Science Research Center Duke Kunshan University Suzhou215316 China Department of Electrical Engineering University of Liverpool LiverpoolL69 7ZX United Kingdom Department of Mechatronics and Robotics Xi’an-Jiaotong Liverpool University Suzhou215123 China School of Robotic Xi’an Jiaotong-Liverpool University Suzhou215123 China Department of Foundational Mathematics Xi’an Jiaotong-Liverpool University Suzhou215123 China
— Robotic grasping in the open world is a critical component of manufacturing and automation processes. While numerous existing approaches depend on 2D segmentation output to facilitate the grasping procedure, accura... 详细信息
来源: 评论
An efficient artificial intelligence approach for early detection of cross-site scripting attacks
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Decision Analytics Journal 2024年 11卷
作者: Younas, Faizan Raza, Ali Thalji, Nisrean Abualigah, Laith Zitar, Raed Abu Jia, Heming Department of Computer Science & Information Technology The University Of Lahore Lahore 54000 Pakistan Department of Software Engineering The University Of Lahore Lahore 54000 Pakistan Department of Robotics and Artificial Intelligence Jadara University Irbid Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19328 Jordan Computer Science Department Al al-Bayt University Mafraq 25113 Jordan Artificial Intelligence and Sensing Technologies (AIST) Research Center University of Tabuk Tabuk 71491 Saudi Arabia MEU Research Unit Middle East University Amman 11831 Jordan Applied science research center Applied science private university Amman 11931 Jordan School of Engineering and Technology Sunway University Malaysia Petaling Jaya 27500 Malaysia Sorbonne Center of Artificial Intelligence Sorbonne University-Abu Dhabi Abu Dhabi 38044 United Arab Emirates School of Information Engineering Sanming University Sanming 365004 China
Cross-Site Scripting (XSS) attacks continue to pose a significant threat to web applications, compromising the security and integrity of user data. XSS is a web application vulnerability where malicious scripts are in... 详细信息
来源: 评论
LLM Post-Training: A Deep Dive into Reasoning Large Language Models
arXiv
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arXiv 2025年
作者: Kumar, Komal Ashraf, Tajamul Thawakar, Omkar Anwer, Rao Muhammad Cholakkal, Hisham Shah, Mubarak Yang, Ming-Hsuan Torr, Phillip H.S. Khan, Fahad Shahbaz Khan, Salman Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi United Arab Emirates Center for Research in Computer Vision The University of Central Florida OrlandoFL32816 United States University of California at Merced MercedCA95343 United States Google DeepMind Mountain ViewCA94043 United States Department of Engineering Science University of Oxford OxfordOX1 2JD United Kingdom
Large Language Models (LLMs) have transformed the natural language processing landscape and brought to life diverse applications. Pretraining on vast web-scale data has laid the foundation for these models, yet the re... 详细信息
来源: 评论
Applications of Transformer Attention Mechanisms in Information Security: Current Trends and Prospects
Applications of Transformer Attention Mechanisms in Informat...
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2022 International Conference on Artificial Intelligence of Things and Crowdsensing (AIoTCs)
作者: M. Vubangsi Sarumi Usman Abidemi Olukayode Akanni Auwalu Saleh Mubarak Fadi Al-Turjman Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Mersin Turkey Department of Computer Science HTTTC Bambili Computational materials Science lab University of Bamenda NWR Cameroon Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin Turkey
In this work, we present a comprehensive survey on applications of the most recent transformer architecture based on attention in information security. Our review reveals three primary areas of application: Intrusion ... 详细信息
来源: 评论
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
Incentive Mechanism Design for Unbiased Federated Learning w...
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International Conference on Distributed Computing Systems
作者: Bing Luo Yutong Feng Shiqiang Wang Jianwei Huang Leandros Tassiulas Electrical and Computer Engineering Division of Natural and Applied Sciences Duke Kunshan University Kunshan China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China IBM T. J. Watson Research Center NY USA Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Department of Electrical Engineering Institute for Network Science Yale University USA
Incentive mechanism is crucial for federated learning (FL) when rational clients do not have the same interests in the global model as the server. However, due to system heterogeneity and limited budget, it is general...
来源: 评论
Advances in adversarial attacks and defenses in computer vision: A survey
arXiv
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arXiv 2021年
作者: Akhtar, Naveed Mian, Ajmal Kardan, Navid Shah, Mubarak Department of Computer Science and Software Engineering University of Western Australia 35 Stirling Highway CrawleyWA6009 Australia Center for Research in Computer Vision University of Central Florida OrlandoFL32816 United States
—Deep Learning (DL) is the most widely used tool in the contemporary field of computer vision. Its ability to accurately solve complex problems is employed in vision research to learn deep neural models for a variety... 详细信息
来源: 评论
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for vision, Language, and Multimodal Tasks
arXiv
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arXiv 2023年
作者: Zhang, Kai Zhou, Rong Adhikarla, Eashan Yan, Zhiling Liu, Yixin Yu, Jun Liu, Zhengliang Chen, Xun Davison, Brian D. Ren, Hui Huang, Jing Chen, Chen Zhou, Yuyin Fu, Sunyang Liu, Wei Liu, Tianming Li, Xiang Chen, Yong He, Lifang Zou, James Li, Quanzheng Liu, Hongfang Sun, Lichao Department of Computer Science and Engineering Lehigh University PA United States School of Computing University of Georgia GA United States Samsung Research America CA United States Department of Radiology Massachusetts General Hospital Harvard Medical School MA United States Department of Biostatistics Epidemiology and Informatics University of Pennsylvania PA United States PolicyLab Children’s Hospital of Philadelphia PA United States Center for Research in Computer Vision University of Central Florida FL United States Department of Computer Science and Engineering University of California Santa CruzCA United States McWilliams School of Biomedical Informatics UTHealth HoustonTX United States Department of Radiation Oncology Mayo Clinic AZ United States University of Pennsylvania PA United States PA United States Leonard Davis Institute of Health Economics PA United States Department of Biomedical Data Science Stanford University School of Medicine CA United States Department of Computer Science Stanford University CA United States
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize holistic information. Generalis... 详细信息
来源: 评论
Towards hierarchical task decomposition using deep reinforcement learning for pick and place subtasks
arXiv
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arXiv 2021年
作者: Marzari, Luca Pore, Ameya Dall'Alba, Diego Aragon-Camarasa, Gerardo Farinelli, Alessandro Fiorini, Paolo Department of Computer Science University of Verona Verona Italy Center of Research in Biomedical Engineering Universitat Politècnica de Catalunya Barcelona Spain Computer Vision and Autonomous Group School of Computing Science University of Glasgow Glasgow United Kingdom
Deep Reinforcement Learning (DRL) is emerging as a promising approach to generate adaptive behaviors for robotic platforms. However, a major drawback of using DRL is the data-hungry training regime that requires milli... 详细信息
来源: 评论