咨询与建议

限定检索结果

文献类型

  • 528 篇 会议
  • 17 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 552 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 355 篇 工学
    • 283 篇 计算机科学与技术...
    • 155 篇 软件工程
    • 74 篇 电气工程
    • 37 篇 信息与通信工程
    • 20 篇 控制科学与工程
    • 19 篇 光学工程
    • 19 篇 生物医学工程(可授...
    • 15 篇 电子科学与技术(可...
    • 11 篇 仪器科学与技术
    • 10 篇 机械工程
    • 9 篇 生物工程
    • 5 篇 测绘科学与技术
    • 4 篇 建筑学
    • 4 篇 土木工程
    • 4 篇 化学工程与技术
    • 3 篇 安全科学与工程
    • 2 篇 力学(可授工学、理...
  • 125 篇 理学
    • 82 篇 物理学
    • 40 篇 数学
    • 13 篇 生物学
    • 8 篇 统计学(可授理学、...
    • 4 篇 化学
    • 3 篇 系统科学
  • 32 篇 医学
    • 26 篇 临床医学
    • 7 篇 特种医学
    • 5 篇 基础医学(可授医学...
    • 3 篇 药学(可授医学、理...
  • 26 篇 管理学
    • 21 篇 管理科学与工程(可...
    • 6 篇 图书情报与档案管...
    • 5 篇 工商管理
  • 1 篇 农学

主题

  • 53 篇 image processing
  • 41 篇 parallel process...
  • 26 篇 feature extracti...
  • 25 篇 image segmentati...
  • 23 篇 deep learning
  • 23 篇 computer vision
  • 21 篇 image edge detec...
  • 20 篇 training
  • 19 篇 image reconstruc...
  • 17 篇 image analysis
  • 16 篇 computer archite...
  • 15 篇 neural networks
  • 15 篇 computational mo...
  • 14 篇 image color anal...
  • 13 篇 distributed comp...
  • 13 篇 accuracy
  • 12 篇 image enhancemen...
  • 12 篇 graphics process...
  • 12 篇 parallel computi...
  • 11 篇 algorithm design...

机构

  • 7 篇 natl univ def te...
  • 5 篇 national laborat...
  • 4 篇 college of compu...
  • 3 篇 hong kong polyte...
  • 3 篇 univ carlos iii ...
  • 3 篇 cnr inst biomed ...
  • 3 篇 natl univ def te...
  • 3 篇 sensetime res pe...
  • 3 篇 cnr inst appl ma...
  • 3 篇 natl univ def te...
  • 2 篇 nanjing audit un...
  • 2 篇 college of compu...
  • 2 篇 school of comput...
  • 2 篇 uni. of pisa
  • 2 篇 univ sydney sch ...
  • 2 篇 tsinghua univ ts...
  • 2 篇 department of in...
  • 2 篇 school of comput...
  • 2 篇 univ aegean dept...
  • 2 篇 lsi laboratory u...

作者

  • 11 篇 dou yong
  • 8 篇 zhigang luo
  • 8 篇 naiyang guan
  • 8 篇 qiao peng
  • 8 篇 carretero jesus
  • 6 篇 yong dou
  • 5 篇 xiang zhang
  • 5 篇 shi hc
  • 5 篇 xu kele
  • 5 篇 dacheng tao
  • 5 篇 li hz
  • 3 篇 ercan mf
  • 3 篇 luo zhigang
  • 3 篇 milanesi luciano
  • 3 篇 garcia-blas javi...
  • 3 篇 peng qiao
  • 3 篇 li dongsheng
  • 3 篇 abella monica
  • 3 篇 xuhui huang
  • 3 篇 huang xuhui

语言

  • 530 篇 英文
  • 21 篇 其他
  • 1 篇 中文
检索条件"任意字段=Conference on Parallel and Distributed Methods for Image Processing III"
552 条 记 录,以下是91-100 订阅
NTIRE 2022 Challenge on Perceptual image Quality Assessment
NTIRE 2022 Challenge on Perceptual Image Quality Assessment
收藏 引用
IEEE/CVF conference on Computer Vision and Pattern Recognition (CVPR)
作者: Gu, Jinjin Cai, Haoming Dong, Chao Ren, Jimmy S. Timofte, Radu Gong, Yuan Lao, Shanshan Shi, Shuwei Wang, Jiahao Yang, Sidi Wu, Tianhe Xia, Weihao Yang, Yujiu Cao, Mingdeng Heng, Cong Fu, Lingzhi Zhang, Rongyu Zhang, Yusheng Wang, Hao Song, Hongjian Wang, Jing Fan, Haotian Hou, Xiaoxia Sun, Ming Li, Mading Zhao, Kai Yuan, Kun Kong, Zishang Wu, Mingda Zheng, Chuanchuan Conde, Marcos, V Burchi, Maxime Feng, Longtao Zhang, Tao Li, Yang Xu, Jingwen Wang, Haiqiang Liao, Yiting Li, Junlin Xu, Kele Sun, Tao Xiong, Yunsheng Keshari, Abhisek Komal, Komal Thakur, Sadbhawana Jakhetiya, Vinit Subudhi, Badri N. Yang, Hao-Hsiang Chang, Hua-En Huang, Zhi-Kai Chen, Wei-Ting Kuo, Sy-Yen Dutta, Saikat Das, Sourya Dipta Shah, Nisarg A. Tiwari, Anil Kumar Shanghai AI Lab Shanghai Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Beijing Peoples R China SenseTime Res Beijing Peoples R China Univ Wurzburg Wurzburg Germany Swiss Fed Inst Technol Zurich Switzerland Tsinghua Univ Tsinghua Shenzhen Int Grad Sch Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China UCL London England Netease Hangzhou Peoples R China Kuaishou Beijing Peoples R China Univ Wurzburg Comp Vis Lab Wurzburg Germany ByteDance Beijing Peoples R China Key Lab Parallel & Distributed Proc Beijing Peoples R China Indian Inst Technol Jammu Jagti Jammu & Kashmir India Indian Inst Technol Madras Chennai Tamil Nadu India Jadavpur Univ Kolkata W Bengal India Indian Inst Technol Jodhpur Jodhpur Rajasthan India Natl Taiwan Univ New Taipei Taiwan
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This ch... 详细信息
来源: 评论
image Inpainting using Automatic Structure Propagation with Auxiliary Line Construction
Image Inpainting using Automatic Structure Propagation with ...
收藏 引用
Summer Virtual conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing (SNPD-Summer), ACIS International
作者: Yuto Urano Irawati Nurmala Sari Weiwei Du Department of Information Science Kyoto Institute of Technology Kyoto Japan Information and Human Science Kyoto Institute of Technology Kyoto Japan
Existing image inpainting methods used traditional and deep learning methods to restore a large missing region in the damaged image. This often leads to color discrepancy and blurriness. Pre-processing of prior line d... 详细信息
来源: 评论
Cuckoo Search Optimized Histogram Equalization for Low Contrast image Enhancement
Cuckoo Search Optimized Histogram Equalization for Low Contr...
收藏 引用
International conference on parallel distributed and Grid Computing (PDGC)
作者: Niveditta Thakur Nafis Uddin Khan Sunil Datt Sharma Jaypee University of Information Technology Solan India
image enhancement is a process to improve the visual standard of image so as to extract spatial features of image. Histogram Equalization is method by which image can be improved for better perception and interpretati... 详细信息
来源: 评论
Edge-enhanced GAN with Vanishing Points for image Inpainting
Edge-enhanced GAN with Vanishing Points for Image Inpainting
收藏 引用
Summer Virtual conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed Computing (SNPD-Summer), ACIS International
作者: Kei Masaoka Irawati Nurmala Sari Weiwei Du Department of Information Science Kyoto Institute of Technology Kyoto Japan Information and Human Science Kyoto Institute of Technology Kyoto Japan
Reconstructing the damaged images with perspective views has an extensive range in the field of image inpainting. However, most existing methods generated inadequately realistic restored images. Accomplishing this pro... 详细信息
来源: 评论
Analyzing the distributed training of deep-learning models via data locality  29
Analyzing the distributed training of deep-learning models v...
收藏 引用
29th Euromicro International conference on parallel, distributed and Network-Based processing, PDP 2021
作者: Alonso-Monsalve, Saúl Calderón, Alejandro García-Carballeira, Félix Rivadeneira, José Cern Geneva Switzerland Universidad Carlos Iii de Madrid Leganés Madrid Spain Universidad Carlos Iii de Madrid Computer Science and Engineering Department Leganés Madrid Spain
In the last few years, deep-learning models are becoming crucial for numerous scientific and industrial applications. Due to the growth and complexity of deep neural networks, researchers have been investigating techn... 详细信息
来源: 评论
Towards a SOLAP Based Decision Support System for Forest Fire Management
Towards a SOLAP Based Decision Support System for Forest Fir...
收藏 引用
Earth Observation and Geo-Spatial Information (ICEOGI), International conference on
作者: Asma Belaroussi Khalissa Derbal Rachid Benabdellah Mostefa Belhadj-Aissa Image Processing and Radiation Laboratory LTIR USTHB Algiers Algeria LSI Laboratory USTHB Algiers Algeria General Directorate of Forestry DGF Algiers Algeria
Risk, suppression, and damage assessment are essential parts of forest fire management. The involved data is distributed and heterogeneous, concerning meteorology, topomorphology, and socio-economy. In addition, it ha...
来源: 评论
Kulla, a container-centric construction model for building infrastructure-agnostic distributed and parallel applications
收藏 引用
JOURNAL OF SYSTEMS AND SOFTWARE 2020年 168卷 110665-110665页
作者: Reyes-Anastacio, Hugo G. Gonzalez-Compean, J. L. Sosa-Sosa, Victor J. Carretero, Jesus Garcia-Blas, Javier CINVESTAV Unidad Tamaulipas Km 5-5 Carr Soto la Marina Victoria 87130 Tamaulipas Mexico Univ Carlos III Madrid Comp Sci & Engn Dept Av Univ 30 Madrid 28911 Spain
This paper presents the design, development, and implementation of Kulla, a virtual container-centric construction model that mixes loosely coupled structures with a parallel programming model for building infrastruct... 详细信息
来源: 评论
Accelerating Deep Learning Tasks with Optimized GPU-assisted image Decoding  26
Accelerating Deep Learning Tasks with Optimized GPU-assisted...
收藏 引用
26th IEEE International conference on parallel and distributed Systems (IEEE ICPADS)
作者: Wang, Lipeng Luo, Qiong Yan, Shengen HKUST Dept Comp Sci & Engn Hong Kong Peoples R China SenseTime Res Shenzhen Peoples R China
In computer vision deep learning (DL) tasks, most of the input image datasets are stored in the JPEG format. These JPEG datasets need to be decoded before DL tasks are performed on them. We observe two problems in the... 详细信息
来源: 评论
3rd International Symposium on Signal and image processing, ISSIP 2020
3rd International Symposium on Signal and Image Processing, ...
收藏 引用
3rd International Symposium on Signal and image processing, ISSIP 2020
The proceedings contain 16 papers. The special focus in this conference is on Signal and image processing. The topics include: Deep Convolutional Neural Network-Based Diagnosis of Invasive Ductal Carcinoma;speaker Ide...
来源: 评论
A Counterfactual Ultrasound Anti-Interference Self-Supervised Network for B-mode Ultrasound Tongue Extraction
A Counterfactual Ultrasound Anti-Interference Self-Supervise...
收藏 引用
International conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Yan Jia Yuqing Cheng Kele Xu Yong Dou Peng Qiao Zhouyu He National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha China College of Systems Engineering National University of Defense Technology Changsha China
B-mode ultrasound tongue imaging is a non-invasive and real-time method for visualizing vocal tract deformation. However, accurately extracting the tongue’s surface contour remains a significant challenge due to the ... 详细信息
来源: 评论