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检索条件"机构=Research Center for Computer Vision and Pattern Recognition"
279 条 记 录,以下是21-30 订阅
An Enhanced Authentication Protocol Suitable for Constrained RFID Systems
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IEEE Access 2024年 12卷 61610-61628页
作者: Hosseinzadeh, Mehdi Servati, Mohammad Reza Rahmani, Amir Masoud Safkhani, Masoumeh Lansky, Jan Janoscova, Renata Ahmed, Omed Hassan Tanveer, Jawad Lee, Sang-Woong Duy Tan University Institute of Research and Development Da Nang550000 Viet Nam Duy Tan University School of Medicine and Pharmacy Da Nang550000 Viet Nam Shahid Rajaee Teacher Training University Department of Computer Engineering Tehran16788-15811 Iran National Yunlin University of Science and Technology Future Technology Research Center Douliou Yunlin64002 Taiwan School of Computer Science Tehran19395-5746 Iran University of Finance and Administration Faculty of Economic Studies Department of Computer Science and Mathematics Prague101 00 Czech Republic University of Human Development Department of Information Technology Sulaymaniyah0778-6 Iraq Sejong University Department of Computer Science and Engineering Seoul05006 Korea Republic of Gachon University Pattern Recognition and Machine Learning Laboratory Department of Ai Software Seongnam-si13557 Korea Republic of
RFID technology offers an affordable and user-friendly solution for contactless identification of objects and individuals. However, the widespread adoption of RFID systems raises concerns regarding security and privac... 详细信息
来源: 评论
Survey on Monocular Depth Estimation for Unmanned Aerial Vehicles using Deep Learning
Survey on Monocular Depth Estimation for Unmanned Aerial Veh...
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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)
作者: Horatiu Florea Sergiu Nedevschi Computer Science Dept. Image Processing and Pattern Recognition Research Center Technical University of Cluj-Napoca Cluj-Napoca Romania
Deep learning-based solutions for the ill-posed problem of Monocular Depth Estimation (MDE) from 2D color images have shown potential in recent years, spurring a very active field of research. Most state-of-the-art pr... 详细信息
来源: 评论
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild
CodRED: A Cross-Document Relation Extraction Dataset for Acq...
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2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021
作者: Yao, Yuan Du, Jiaju Lin, Yankai Li, Peng Liu, Zhiyuan Zhou, Jie Sun, Maosong Department of Computer Science and Technology Institute for Artificial Intelligence Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology China Pattern Recognition Center WeChat AI Tencent Inc
Existing relation extraction (RE) methods typically focus on extracting relational facts between entity pairs within single sentences or documents. However, a large quantity of relational facts in knowledge bases can ... 详细信息
来源: 评论
Special Issue on Face Presentation Attack Detection
IEEE Transactions on Biometrics, Behavior, and Identity Scie...
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IEEE Transactions on Biometrics, Behavior, and Identity Science 2021年 第3期3卷 282-284页
作者: Wan, Jun Escalera, Sergio Escalante, Hugo Jair Guo, Guodong Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China Computer Vision Center Universitat de Barcelona Barcelona08007 Spain Instituto Nacional de Astrofísica Óptica y Electrónica Puebla72840 Mexico Institute of Deep Learning Baidu Research Beijing100193 China Center for Ai Research and Innovation Westlake University Hangzhou310024 China
Face presentation attack detection, also termed Face Anti-Spoofing (FAS) [item 1), 2) in the Appendix), is a hot and challenging research topic that has received much attention from the computer vision and pattern rec... 详细信息
来源: 评论
A fire hawk optimizer-based energy-efficient clustering scheme in underwater acoustic sensor networks (UASNs)
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Ad Hoc Networks 2025年 176卷
作者: Lee, Sang-Woong Alhussein, Musaed Aurangzeb, Khursheed Yousefpoor, Mohammad Sadegh Yousefpoor, Efat Hosseinzadeh, Mehdi Pattern Recognition and Machine Learning Lab School of Computing Gachon University Seongnam13120 Korea Republic of Department of Computer Engineering College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh11543 Saudi Arabia Center of Research and Strategic Studies Lebanese French University Kurdistan Region Iraq School of Computer Science Duy Tan University Da Nang Viet Nam Jadara Research Center Jadara University Irbid21110 Jordan
An underwater acoustic sensor network (UASN) is suitable for gathering data from aquatic environments, including lakes, rivers, seas, and oceans. This network faces several issues due to the distinct features of under... 详细信息
来源: 评论
Unsupervised detection of small hyperreflective features in ultrahigh resolution optical coherence tomography
arXiv
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arXiv 2023年
作者: Reimann, Marcel Won, Jungeun Takahashi, Hiroyuki Yaghy, Antonio Hwang, Yunchan Ploner, Stefan Lin, Junhong Girgis, Jessica Lam, Kenneth Chen, Siyu Waheed, Nadia K. Maier, Andreas Fujimoto, James G. Department of Electrical Engineering and Computer Science Research Laboratory of Electronics Massachusetts Institute of Technology United States Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Germany New England Eye Center Tufts Medical Center United States
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal processing techniques may reveal new potential biomarkers in retinal disease... 详细信息
来源: 评论
An Hybrid Attention-Based System for the Prediction of Facial Attributes  4th
An Hybrid Attention-Based System for the Prediction of Fac...
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4th International Workshop on Brain-Inspired Computing, BrainComp 2019
作者: Khellat-Kihel, Souad Sun, Zhenan Tistarelli, Massimo Computer Vision Laboratory University of Sassari Viale Italia 39 Sassari07100 Italy Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Room 1605 Intelligence Bulding 95 Zhongguancun East Road Beijing100190 China Computer Vision Laboratory Department of Biomedical Sciences and Information Technology University of Sassari Viale S. Pietro 43/b Sassari07100 Italy
Recent research on face analysis has demonstrated the richness of information embedded in feature vectors extracted from a deep convolutional neural network. Even though deep learning achieved a very high performance ... 详细信息
来源: 评论
Multimodal segmentation of medical images with heavily missing data
Multimodal segmentation of medical images with heavily missi...
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2021 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2021
作者: Akbar, Muhammad Usman Murino, Vittorio Sona, Diego Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Genova Italy Department of Electrical Electronics and Telecommunication Engineering degli Studi di Genova Genova Italy Huawei Technologies Ltd. Ireland Research Center Dublin Ireland Department of Computer Science Università di Verona Verona Italy Pattern Analysis and Computer Vision Istituto Italiano di Tecnologia Genova Italy Data Science for Health Center for Digital Health & Wellbeing Fondazione Bruno Kessler Trento Italy
An important aim of research in medical imaging is the development of computer aided diagnosis (CAD) systems. A fundamental step in these systems is the image segmentation and convolutional neural networks (CNNs) are ... 详细信息
来源: 评论
An Empirical Study of Graph Contrastive Learning  35
An Empirical Study of Graph Contrastive Learning
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35th Conference on Neural Information Processing Systems - Track on Datasets and Benchmarks, NeurIPS Datasets and Benchmarks 2021
作者: Zhu, Yanqiao Xu, Yichen Liu, Qiang Wu, Shu Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China School of Computer Science Beijing University of Posts and Telecommunications China
Graph Contrastive Learning (GCL) establishes a new paradigm for learning graph representations without human annotations. Although remarkable progress has been witnessed recently, the success behind GCL is still left ... 详细信息
来源: 评论
Deep Audio-visual Learning:A Survey
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International Journal of Automation and computing 2021年 第3期18卷 351-376页
作者: Hao Zhu Man-Di Luo Rui Wang Ai-Hua Zheng Ran He Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and TechnologyAnhui UniversityHefei 230601China Center for Research on Intelligent Perception and Computing(CRIPAC)and National Laboratory of Pattern Recognition(NLPR) Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of the Chinese Academy of SciencesBeijing 100049China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China
Audio-visual learning,aimed at exploiting the relationship between audio and visual modalities,has drawn considerable attention since deep learning started to be used *** tend to leverage these two modalities to impro... 详细信息
来源: 评论