咨询与建议

限定检索结果

文献类型

  • 286 篇 会议
  • 56 篇 期刊文献

馆藏范围

  • 342 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 165 篇 工学
    • 82 篇 计算机科学与技术...
    • 69 篇 软件工程
    • 44 篇 光学工程
    • 36 篇 机械工程
    • 31 篇 生物医学工程(可授...
    • 23 篇 信息与通信工程
    • 20 篇 控制科学与工程
    • 19 篇 电气工程
    • 19 篇 电子科学与技术(可...
    • 17 篇 生物工程
    • 16 篇 仪器科学与技术
    • 9 篇 力学(可授工学、理...
    • 4 篇 材料科学与工程(可...
    • 4 篇 土木工程
    • 4 篇 交通运输工程
    • 3 篇 建筑学
    • 3 篇 核科学与技术
  • 87 篇 理学
    • 46 篇 物理学
    • 37 篇 数学
    • 16 篇 生物学
    • 14 篇 统计学(可授理学、...
    • 3 篇 系统科学
    • 2 篇 化学
  • 22 篇 医学
    • 21 篇 临床医学
    • 10 篇 基础医学(可授医学...
    • 9 篇 药学(可授医学、理...
  • 16 篇 管理学
    • 9 篇 管理科学与工程(可...
    • 8 篇 图书情报与档案管...
  • 9 篇 艺术学
    • 9 篇 设计学(可授艺术学...
  • 2 篇 法学
    • 2 篇 社会学
  • 1 篇 经济学
  • 1 篇 农学

主题

  • 83 篇 computer vision
  • 67 篇 image processing
  • 63 篇 image segmentati...
  • 57 篇 shape
  • 41 篇 laboratories
  • 34 篇 cameras
  • 28 篇 computed tomogra...
  • 25 篇 image reconstruc...
  • 20 篇 level set
  • 20 篇 layout
  • 19 篇 pixel
  • 17 篇 biomedical imagi...
  • 16 篇 feature extracti...
  • 16 篇 robustness
  • 14 篇 magnetic resonan...
  • 14 篇 three dimensiona...
  • 14 篇 parameter estima...
  • 12 篇 humans
  • 12 篇 shape measuremen...
  • 12 篇 labeling

机构

  • 73 篇 computer vision ...
  • 25 篇 university of ch...
  • 24 篇 shenyang institu...
  • 18 篇 computer vision ...
  • 13 篇 institutes for r...
  • 13 篇 computer vision ...
  • 9 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 7 篇 computer vision ...
  • 7 篇 key lab of image...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...
  • 6 篇 the key lab of i...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...
  • 5 篇 kentucky imaging...
  • 5 篇 image analysis i...
  • 5 篇 key laboratory o...

作者

  • 52 篇 aly a. farag
  • 41 篇 a.a. farag
  • 28 篇 farag aly a.
  • 22 篇 e.j. delp
  • 15 篇 aly farag
  • 15 篇 a. farag
  • 13 篇 asem ali
  • 9 篇 melih s. aslan
  • 9 篇 hossam abdelmuni...
  • 9 篇 farag aly
  • 8 篇 s.m. yamany
  • 8 篇 el-baz ayman
  • 8 篇 salwa elshazly
  • 7 篇 ben arnold
  • 7 篇 yongsheng gao
  • 6 篇 mostafa abdelrah...
  • 6 篇 luo haibo
  • 6 篇 m.s. hassouna
  • 6 篇 shireen elhabian
  • 6 篇 asem m. ali

语言

  • 334 篇 英文
  • 4 篇 其他
  • 4 篇 中文
检索条件"机构=Laboratory for Computer Vision and Image Processing"
342 条 记 录,以下是11-20 订阅
排序:
From early biological models to CNNs: do they look where humans look?
From early biological models to CNNs: do they look where hum...
收藏 引用
International Conference on Pattern Recognition
作者: Marinella Iole Cadoni Andrea Lagorio Enrico Grosso Tan Jia Huei Chan Chee Seng Computer Vision Laboratory University of Sassari Sassari Italy Faculty of Computer Science and Information Technology Center of Image and Signal Processing University of Malaya
Early hierarchical computational visual models as well as recent deep neural networks have been inspired by the functioning of the primate visual cortex system. Although much effort has been made to dissect neural net... 详细信息
来源: 评论
From early biological models to CNNs: Do they look where humans look?  25
From early biological models to CNNs: Do they look where hum...
收藏 引用
25th International Conference on Pattern Recognition, ICPR 2020
作者: Cadoni, Marinella Iole Lagorio, Andrea Grosso, Enrico Jia Huei, Tan Chee Seng, Chan Computer Vision Laboratory University of Sassari Sassari Italy Center of Image and Signal Processing Department of Artificial Intelligence Faculty of Computer Science and Information Technology University of Malaya Malaysia
Early hierarchical computational visual models as well as recent deep neural networks have been inspired by the functioning of the primate visual cortex system. Although much effort has been made to dissect neural net... 详细信息
来源: 评论
Terahertz compressive imaging: understanding and improvement by a better strategy for data selection
Terahertz compressive imaging: understanding and improvement...
收藏 引用
作者: Xing, Chungui Qi, Feng Liu, Zhaoyang Wang, Yelong Guo, Shuxu State Key Laboratory on Integrated Optoelectronics College of Electronic Science and Engineering Jilin University Changchun China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Key Lab of Image Understanding and Computer Vision Shenyang China
Compressive sensing (CS) is a novel sampling modality, which indicates the signals can be sampled at a rate much below the Nyquist sampling rate. CS has increasing interest recently due to high demand of rapid, effici... 详细信息
来源: 评论
Eye movement patterns are similar during accurate multiple-target tracking
Eye movement patterns are similar during accurate multiple-t...
收藏 引用
International Conference on Cognitive Infocommunications (CogInfoCom)
作者: Kamyar Bagha Shiva Kamkar Hamid Abrishami Moghaddam Lauri Oksama Jie Li Jukka Hyönä Computer Engineering Department Khatam University Tehran Iran Machine Vision and Medical Image Processing (MVMIP) Laboratory Faculty of Electrical Engineering K.N.Toosi University of Technology Tehran Iran Center for International Scientific Studies and Collaboration (CISSC) Tehran Iran Department of Psychology and Speech-Language Pathology University of Turku Turku Finland Center for Cognition and Brain Disorders Hangzhou Normal University Hangzhou China
Understanding how the brain works is a base of cognitive info-communication. To this aim we focus on multiple target tracking (MTT) as a key task that involves two important cognitive factors, attention and memory. Hu... 详细信息
来源: 评论
Fast Candidate Region Extraction for SAR Ship Target
Fast Candidate Region Extraction for SAR Ship Target
收藏 引用
Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Panpan Zhang Haibo Luo Zheng Xu Miao He Shenyang Institute of Automation Shenyang China Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Shenyang China The Key Lab of Image Understanding and Computer Vision Shenyang China
At present, deep learning technology is widely used in ship target detection in synthetic aperture radar (SAR) images. However, high-resolution remote sensing SAR images cover a larger area and have larger image sizes... 详细信息
来源: 评论
An improved SSD for small target detection  2021
An improved SSD for small target detection
收藏 引用
6th International Conference on Multimedia and image processing, ICMIP 2021
作者: Li, Xiang Luo, Haibo Key Laboratory of Opt-Electronic Information Processing Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China The Key Laboratory of Image Understanding and Computer Vision Shenyang Liaoning110016 China
SSD is one of heuristic one-stage target detection approaches. Although it has got impressive results in general target detection, it still struggles in small-size object detection and precise location. In this paper,... 详细信息
来源: 评论
Deep Learning Methods for Ship Classification: From Visible to Infrared images
Deep Learning Methods for Ship Classification: From Visible ...
收藏 引用
Robotics, Intelligent Control and Artificial Intelligence (RICAI), International Conference on
作者: Tianci Liu Hengjia Qin Zhuo Zhan Yunpeng Liu Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Key Laboratory of Image Understanding and Computer Vision Shenyang Liaoning Province China The Third Military Representative Office of the Air Force Equipment Department in Shenyang Region Shenyang Liaoning Province China
Deep learning methods have achieved excellent performances on visual tasks of target recognition and classification. The rapid development of autonomous seafaring vessels comes up with the requirement to recognize oth...
来源: 评论
Complex-order Derivative and Integral Filters and its Applications
arXiv
收藏 引用
arXiv 2020年
作者: Liu, Yiguang Vision and Image Processing Laboratory College of Computer Science Sichuan University ChengduSichuan610065 China
In this paper, complex-order derivative and integral filters are proposed, which are consistent with the filters with fractional derivative and integral orders. Compared with the filters designed only with real orders... 详细信息
来源: 评论
image saliency detection via multi-feature and manifold-space ranking  2021
Image saliency detection via multi-feature and manifold-spac...
收藏 引用
3rd Asia Pacific Information Technology Conference, APIT 2021
作者: Li, Xiaoli Zhao, Huaici Liu, Yunpeng Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China The Key Lab of Image Understanding and Computer Vision Shenyang110016 China Shenyang Jianzhu University Shenyang110168 China
In this paper, we propose an image saliency detection method by using multi-feature and manifold-space ranking. Basically, the proposed method extracts the color-histogram feature to obtain the fine information of the... 详细信息
来源: 评论
An Improved SSD for small target detection
An Improved SSD for small target detection
收藏 引用
作者: Xiang Li Haibo LuoX Key Laboratory of Opt-Electronic Information Processing Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences University of Chinese Academy of Sciences The Key Laboratory of Image Understanding and Computer Vision
SSD is one of heuristic one-stage target detection *** it has got impressive results in general target detection,it still struggles in small-size object detection and precise *** this paper,we proposed an improved SSD... 详细信息
来源: 评论