咨询与建议

限定检索结果

文献类型

  • 921 篇 会议
  • 61 册 图书
  • 23 篇 期刊文献

馆藏范围

  • 1,005 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 822 篇 工学
    • 720 篇 计算机科学与技术...
    • 375 篇 软件工程
    • 335 篇 电气工程
    • 108 篇 信息与通信工程
    • 105 篇 光学工程
    • 91 篇 生物工程
    • 54 篇 生物医学工程(可授...
    • 40 篇 电子科学与技术(可...
    • 35 篇 化学工程与技术
    • 27 篇 控制科学与工程
    • 21 篇 机械工程
    • 15 篇 安全科学与工程
    • 12 篇 仪器科学与技术
    • 10 篇 土木工程
    • 8 篇 建筑学
    • 8 篇 航空宇航科学与技...
    • 7 篇 交通运输工程
  • 280 篇 理学
    • 126 篇 物理学
    • 118 篇 数学
    • 94 篇 生物学
    • 39 篇 统计学(可授理学、...
    • 33 篇 化学
    • 11 篇 系统科学
  • 269 篇 医学
    • 269 篇 临床医学
    • 25 篇 基础医学(可授医学...
    • 22 篇 药学(可授医学、理...
  • 75 篇 管理学
    • 63 篇 图书情报与档案管...
    • 13 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 10 篇 法学
    • 9 篇 社会学
  • 4 篇 农学
  • 3 篇 经济学
  • 2 篇 教育学

主题

  • 46 篇 computer graphic...
  • 44 篇 artificial intel...
  • 42 篇 image processing...
  • 33 篇 computer vision
  • 29 篇 deep learning
  • 27 篇 pattern recognit...
  • 25 篇 image segmentati...
  • 22 篇 computer imaging...
  • 20 篇 image enhancemen...
  • 19 篇 graphics process...
  • 17 篇 face recognition
  • 17 篇 image reconstruc...
  • 15 篇 cameras
  • 13 篇 image processing
  • 11 篇 object detection
  • 11 篇 generative adver...
  • 11 篇 machine learning
  • 11 篇 optical characte...
  • 10 篇 computer communi...
  • 10 篇 pixels

机构

  • 15 篇 indian institute...
  • 11 篇 indian statistic...
  • 11 篇 carnegie mellon ...
  • 11 篇 hebrew universit...
  • 11 篇 google research
  • 10 篇 indian inst tech...
  • 8 篇 indian stat inst...
  • 8 篇 indian inst tech...
  • 7 篇 indian institute...
  • 7 篇 indian institute...
  • 7 篇 indian inst tech...
  • 7 篇 indian inst tech...
  • 7 篇 technische unive...
  • 7 篇 indian inst sci ...
  • 6 篇 indian institute...
  • 6 篇 indian institute...
  • 6 篇 indian inst tech...
  • 6 篇 technical univer...
  • 6 篇 indian inst tech...
  • 6 篇 department of co...

作者

  • 31 篇 chaudhury santan...
  • 26 篇 mukherjee jayant...
  • 25 篇 chaudhuri subhas...
  • 19 篇 das sukhendu
  • 15 篇 babu r. venkates...
  • 14 篇 das partha prati...
  • 14 篇 lall brejesh
  • 14 篇 raman shanmugana...
  • 13 篇 harit gaurav
  • 12 篇 mukherjee dipti ...
  • 12 篇 chanda bhabatosh
  • 12 篇 mishra deepak
  • 11 篇 martial hebert
  • 11 篇 yair weiss
  • 11 篇 vittorio ferrari
  • 11 篇 cristian sminchi...
  • 11 篇 biswas prabir ku...
  • 10 篇 banerjee biplab
  • 10 篇 biswas soma
  • 10 篇 sur arijit

语言

  • 998 篇 英文
  • 3 篇 俄文
  • 2 篇 其他
  • 2 篇 中文
检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"
1005 条 记 录,以下是611-620 订阅
排序:
Single Storage Semi-Global Matching for Real Time Depth processing  7th
Single Storage Semi-Global Matching for Real Time Depth Proc...
收藏 引用
7th National conference on computer vision, Pattern Recognition, image processing, and graphics, NCVPRIPG 2019
作者: Sawant, Prathmesh Temburu, Yashwant Datar, Mandar Ahmed, Imran Shriniwas, Vinayak Patkar, Sachin Department of Electrical Engineering Indian Institute of Technology Bombay Mumbai India Defence Research and Development Organization New Delhi India
Depth-map is the key computation in computer vision and robotics. One of the most popular approach is via computation of disparity-map of images obtained from Stereo Camera. Semi Global Matching (SGM) method is a popu... 详细信息
来源: 评论
Automatic Mixed Precision and Distributed Data-Parallel Training for Satellite image Classification using CNN  15
Automatic Mixed Precision and Distributed Data-Parallel Trai...
收藏 引用
15th International conference on Machine vision (ICMV)
作者: Nuwara, Yohanes Kitt, Wong W. Juwono, Filbert H. Ollivierre, Gregory Asia Pulp & Paper Sinarmas Land Plaza MH Thamrin Jakarta Indonesia Curtin Univ Malaysia CDT 250 Bellevue WA 98009 USA Univ Southampton Malaysia Iskandar Puteri 79100 Johor Malaysia OmegaCrop 71-75 Shelton St London England
Deep learning models for computer vision in remote sensing such as Convolutional Neural Network (CNN) has benefitted acceleration from the usage of multiple CPUs and GPUs. there are several ways to make the training s... 详细信息
来源: 评论
Classification of indian monuments into architectural styles  6th
Classification of indian monuments into architectural styles
收藏 引用
6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017
作者: Sharma, Saurabh Aggarwal, Priyal Bhattacharyya, Akanksha N. Indu, S. Department of Computer Science and Engineering Delhi Technological University Delhi India Department of Electronics and Communication Engineering Delhi Technological University Delhi India
We propose two novel approaches to classify indian monuments according to their distinct architectural styles. While the historical significance of most indian monuments is well documented, the details of their archit... 详细信息
来源: 评论
Table detection in document images using header and trailer patterns  12
Table detection in document images using header and trailer ...
收藏 引用
8th indian conference on computer vision, graphics and image processing, ICVGIP 2012
作者: Harit, Gaurav Bansal, Anukriti Indian Institute of Technology Jodhpur Rajasthan India
this paper presents a new approach to detect tabular structures present in document images and in low resolution video images. the algorithm for table detection is based on identifying the unique table start pattern a... 详细信息
来源: 评论
the Hybrid Attention Single image Super Resolution Network with Conditional Random Field  15
The Hybrid Attention Single Image Super Resolution Network w...
收藏 引用
15th International conference on graphics and image processing, ICGIP 2023
作者: Wei, Jiayu Li, Yanfeng Chen, Houjin Sun, Jia Yao, Xu Beijing Jiaotong University China
Recently, Transformer-based methods have achieved excellent results in various computer vision tasks, including Single image Super-Resolution (SISR). In SwinIR, the mechanism of cross-window connection and local self-... 详细信息
来源: 评论
Multi-epipolar plane image based 3D reconstruction using robust surface fitting  14
Multi-epipolar plane image based 3D reconstruction using rob...
收藏 引用
9th indian conference on computer vision, graphics and image processing, ICVGIP 2014
作者: Choudhury, Chandrajit Amaldev, V. Chaudhuri, Subhasis Dept. of Electrical Engineering Indian Institute of Technology Bombay India
In this paper, we present a novel method for 3D reconstruction from epipolar plane (EP) representation of images and surface fitting for multiview or lightfield images. the proposed method detects parallelograms in EP... 详细信息
来源: 评论
Enhancing Video Surveillance with Deep Learning-Based Real-Time Handgun Detection and Tracking  1
收藏 引用
8th International conference on computer vision and image processing (CVIP)
作者: Yadav, Pavinder Gupta, Nidhi Sharma, Pawan Kumar Natl Inst Technol Hamirpur Hamirpur 177005 Himachal Prades India Natl Inst Technol Kurukshetra Kurukshetra 136119 Haryana India
Handguns, pistols, and revolvers are commonly used in today's world for committing criminal acts, requiring the need for effective surveillance and control systems. However, despite the advancement of security sys... 详细信息
来源: 评论
A Dataset and Model for Crossing indian Roads  13
A Dataset and Model for Crossing Indian Roads
收藏 引用
13th indian conference on computer vision, graphics, and image processing, ICVGIP 2022
作者: Brahmbhatt, Siddhi G H Patel College of Engineering and Technology Vallabh Vidyanagar Gujarat Anand India
Roads in medium-sized indian towns often have lots of traffic but no (or disregarded) traffic stops. this makes it hard for the blind to cross roads safely, because vision is crucial to determine when crossing is safe... 详细信息
来源: 评论
A Novel Self-Learning Network Integrating Contrastive Learning, Perceptual Learning and Masked image Modelling  15
A Novel Self-Learning Network Integrating Contrastive Learni...
收藏 引用
15th International conference on graphics and image processing, ICGIP 2023
作者: Chen, Yingxian Yang, Rui Lan, Rushi Guangxi Key Laboratory Image and Graphic Intelligent Processing Guilin University of Electronic Technology China
Unsupervised learning methods in computer vision have achieved remarkable success, exceeding the performance of supervised learning methods. It is noteworthy that current unsupervised learning methods share certain si... 详细信息
来源: 评论
Enhancing shape from focus-measure-fusion and sparse representation  14
Enhancing shape from focus-measure-fusion and sparse represe...
收藏 引用
9th indian conference on computer vision, graphics and image processing, ICVGIP 2014
作者: Shete, Snehal Bhavsar, Arnav Sao, Anil K. School of Computing and Electrical Engineering Indian Institute of Technology Mandi HP India
Shape-from-focus (SFF) is extensively used in image processing for obtaining shape-maps using a sequence of images of a scene captured from same view point with different camera focus settings. Many focus measure oper... 详细信息
来源: 评论