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检索条件"机构=Jiangsu Computer Information Processing Technology Key Laboratory"
4474 条 记 录,以下是1-10 订阅
排序:
A Comprehensive Overview of CFN From a Commonsense Perspective
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Machine Intelligence Research 2024年 第2期21卷 239-256页
作者: Ru Li Yunxiao Zhao Zhiqiang Wang Xuefeng Su Shaoru Guo Yong Guan Xiaoqi Han Hongyan Zhao Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education School of Computer and Information TechnologyShanxi UniversityTaiyuan 030006China
Chinese FrameNet(CFN)is a scenario commonsense knowledge base(CKB)that plays an important role in research on Chinese language *** is based on the theory of frame semantics and English FrameNet(FN).The CFN knowledge b... 详细信息
来源: 评论
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
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Science China(information Sciences) 2025年 第1期68卷 145-158页
作者: Wei JU Yiyang GU Zhengyang MAO Ziyue QIAO Yifang QIN Xiao LUO Hui XIONG Ming ZHANG School of Computer Science National Key Laboratory for Multimedia Information ProcessingPeking University Artificial Intelligence Thrust The Hong Kong University of Science and Technology Department of Computer Science University of California
Self-supervised graph representation learning has recently shown considerable promise in a range of fields, including bioinformatics and social networks. A large number of graph contrastive learning approaches have sh... 详细信息
来源: 评论
A Heuristic Radiomics Feature Selection Method Based on Frequency Iteration and Multi-Supervised Training Mode
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computers, Materials & Continua 2024年 第5期79卷 2277-2293页
作者: Zhigao Zeng Aoting Tang Shengqiu Yi Xinpan Yuan Yanhui Zhu School of Computer Hunan University of TechnologyZhuzhou412007China Hunan Key Laboratory of Intelligent Information Perception and Processing Technology Zhuzhou412007China
Radiomics is a non-invasive method for extracting quantitative and higher-dimensional features from medical images for *** has received great attention due to its huge application prospects in recent *** can know that... 详细信息
来源: 评论
A method of embedding a high-resolution image into a large field-of-view image
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Multimedia Tools and Applications 2025年 第14期84卷 13037-13056页
作者: Dong, Yanmei Pei, Mingtao Jia, Yunde Key Laboratory of Intelligent Information Processing and Graph Processing Tus College of Digit Guangxi University of Science and Technology Liuzhou545006 China Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing100081 China
Images captured by wide-angle cameras or fisheye cameras are with large Field-of-View (FOV) but low resolution, while images captured by conventional cameras are with high-resolution but limited FOV. To handle this co... 详细信息
来源: 评论
Probabilistic fault diagnosis of clustered faults for multiprocessor systems
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Journal of computer Science & technology 2023年 第4期38卷 821-833页
作者: 孙雪丽 樊建席 程宝雷 王岩 张力 School of Computer Science and Technology Soochow UniversitySuzhou 215006China Provincial Key Laboratory for Computer Information Processing Technology Soochow UniversitySuzhou 215006China
With the development of high-performance computing and the expansion of large-scale multiprocessor sys-tems,it is significant to study the reliability of *** fault diagnosis is of practical value to the reliabilityana... 详细信息
来源: 评论
Attention-assisted dual-branch interactive face super-resolution network
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Cognitive Robotics 2025年 5卷 77-85页
作者: Wan, Xujie Xu, Siyu Gao, Guangwei Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China
We propose a deep learning-based Attention-Assisted Dual-Branch Interactive Network (ADBINet) to improve facial super-resolution by addressing key challenges like inadequate feature extraction and poor multi-scale inf... 详细信息
来源: 评论
DECTNet: A detail enhanced CNN-Transformer network for single-image deraining
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Cognitive Robotics 2025年 5卷 48-60页
作者: Wang, Liping Gao, Guangwei Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China
Recently, Convolutional Neural Networks (CNN) and Transformers have been widely adopted in image restoration tasks. While CNNs are highly effective at extracting local information, they struggle to capture global cont... 详细信息
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Structure-to-word dynamic interaction model for abstractive sentence summarization
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Neural Computing and Applications 2025年 第9期37卷 6567-6581页
作者: Guan, Yong Guo, Shaoru Li, Ru School of Computer & Information Technology Shanxi University Shanxi China Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education Shanxi University Shanxi China
Abstractive text summarization aims to capture important information from text and integrate contextual information to guide the summary generation. However, effective integration of important and relevant information... 详细信息
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HRAM-VITON: High-Resolution Virtual Try-On with Attention Mechanism
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computers, Materials & Continua 2025年 第2期82卷 2753-2768页
作者: Yue Chen Xiaoman Liang Mugang Lin Fachao Zhang Huihuang Zhao College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002China
The objective of image-based virtual try-on is to seamlessly integrate clothing onto a target image, generating a realistic representation of the character in the specified attire. However, existing virtual try-on met... 详细信息
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Facial micro-expression recognition based on dual-stream fusion network
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Multimedia Tools and Applications 2025年 1-14页
作者: Sun, Jiacheng Chen, Changhong Jiangsu Key Laboratory of Intelligent Information Processing and Communication Technology Nanjing University of Posts and Telecommunications No.66 Xin Mofan RD Nanjing210003 China
Micro-expressions(MEs) have emerged as a viable strategy for affective estimation due to their high reliability in emotion detection. In recent years, deep learning methods have been successfully applied to the field ... 详细信息
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