咨询与建议

限定检索结果

文献类型

  • 356 篇 会议
  • 86 篇 期刊文献
  • 4 册 图书

馆藏范围

  • 446 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 254 篇 工学
    • 161 篇 计算机科学与技术...
    • 135 篇 软件工程
    • 62 篇 信息与通信工程
    • 44 篇 生物工程
    • 43 篇 机械工程
    • 41 篇 控制科学与工程
    • 31 篇 生物医学工程(可授...
    • 25 篇 光学工程
    • 20 篇 化学工程与技术
    • 19 篇 仪器科学与技术
    • 15 篇 电气工程
    • 10 篇 电子科学与技术(可...
    • 5 篇 交通运输工程
    • 4 篇 水利工程
    • 3 篇 土木工程
  • 132 篇 理学
    • 60 篇 数学
    • 44 篇 生物学
    • 40 篇 物理学
    • 21 篇 化学
    • 17 篇 统计学(可授理学、...
    • 5 篇 系统科学
  • 72 篇 管理学
    • 50 篇 图书情报与档案管...
    • 27 篇 管理科学与工程(可...
    • 12 篇 工商管理
  • 16 篇 艺术学
    • 16 篇 设计学(可授艺术学...
  • 13 篇 医学
    • 13 篇 临床医学
    • 11 篇 基础医学(可授医学...
    • 10 篇 药学(可授医学、理...
  • 4 篇 经济学
    • 4 篇 应用经济学
  • 3 篇 法学
    • 3 篇 社会学
  • 2 篇 文学
  • 1 篇 教育学
  • 1 篇 农学

主题

  • 85 篇 feature extracti...
  • 76 篇 pattern recognit...
  • 64 篇 image segmentati...
  • 64 篇 handwriting reco...
  • 60 篇 character recogn...
  • 55 篇 support vector m...
  • 51 篇 computer vision
  • 43 篇 optical characte...
  • 41 篇 training
  • 33 篇 accuracy
  • 32 篇 shape
  • 26 篇 writing
  • 25 篇 histograms
  • 24 篇 testing
  • 22 篇 databases
  • 21 篇 image edge detec...
  • 20 篇 text recognition
  • 16 篇 reservoirs
  • 15 篇 image color anal...
  • 15 篇 image recognitio...

机构

  • 206 篇 computer vision ...
  • 43 篇 computer vision ...
  • 31 篇 national key lab...
  • 28 篇 faculty of compu...
  • 18 篇 department of st...
  • 17 篇 computer vision ...
  • 17 篇 computer vision ...
  • 13 篇 school of comput...
  • 12 篇 computer vision ...
  • 12 篇 indian statistic...
  • 8 篇 graduate school ...
  • 8 篇 idetic universit...
  • 8 篇 institute for in...
  • 7 篇 department of st...
  • 7 篇 school of inform...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...
  • 6 篇 school of scienc...
  • 6 篇 the computer vis...
  • 5 篇 school of inform...

作者

  • 113 篇 umapada pal
  • 109 篇 pal umapada
  • 38 篇 b.b. chaudhuri
  • 33 篇 michael blumenst...
  • 32 篇 palaiahnakote sh...
  • 30 篇 blumenstein mich...
  • 27 篇 shivakumara pala...
  • 25 篇 chaudhuri b.b.
  • 22 篇 u. pal
  • 18 篇 lu tong
  • 17 篇 chanda sukalpa
  • 17 篇 tong lu
  • 15 篇 chaudhuri bidyut...
  • 14 篇 bidyut b. chaudh...
  • 13 篇 fumitaka kimura
  • 13 篇 sukalpa chanda
  • 13 篇 p. nagabhushan
  • 12 篇 ujjwal bhattacha...
  • 12 篇 garain utpal
  • 12 篇 alireza alaei

语言

  • 441 篇 英文
  • 5 篇 其他
检索条件"机构=Computer Vision and Pattern Recognition Unit Indian Institute"
446 条 记 录,以下是1-10 订阅
排序:
Self-Supervised Representation Learning for Knee Injury Diagnosis From Magnetic Resonance Data
IEEE Transactions on Artificial Intelligence
收藏 引用
IEEE Transactions on Artificial Intelligence 2024年 第4期5卷 1613-1623页
作者: Manna, Siladittya Bhattacharya, Saumik Pal, Umapada Indian Statistical Institute Computer Vision and Pattern Recognition Unit Kolkata700108 India Indian Institute of Technology Kharagpur Department of Electronics and Electrical Communication Engineering Kharagpur721302 India
In medical image analysis, the cost of acquiring high-quality data and annotation by experts is a barrier in many medical applications. Most of the techniques used are based on a supervised learning framework and requ... 详细信息
来源: 评论
A new multimodal sentiment analysis for images containing textual information
收藏 引用
Multimedia Tools and Applications 2024年 1-30页
作者: Ahuja, Garvit Alaei, Alireza Pal, Umapada School of Computer Science and Engineering Manipal University Jaipur Jaipur India Faculty of Science and Engineering Southern Cross University Gold Coast Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
Multimodal sentiment analysis on images with textual content is a research area aiming to understand the sentiment conveyed by visual and textual elements in the images. While multimodal sentiment analysis on images a... 详细信息
来源: 评论
Blind Image Inpainting via Omni-dimensional Gated Attention and Wavelet Queries
Blind Image Inpainting via Omni-dimensional Gated Attention ...
收藏 引用
2023 IEEE/CVF Conference on computer vision and pattern recognition Workshops, CVPRW 2023
作者: Phutke, Shruti S. Kulkarni, Ashutosh Vipparthi, Santosh Kumar Murala, Subrahmanyam Indian Institute of Technology Ropar Computer Vision and Pattern Recognition Lab Punjab Rupnagar India
Blind image inpainting is a crucial restoration task that does not demand additional mask information to restore the corrupted regions. Yet, it is a very less explored research area due to the difficulty in discrimina... 详细信息
来源: 评论
Can an Image Tell the Tale: Looking Beyond the Haze to Determine PM2.5 Concentration
Can an Image Tell the Tale: Looking Beyond the Haze to Deter...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Sagarnil Chakraborty Sarbani Palit Harsh Bhandari Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
In the past few decades, due to rapid growth in industrialization, there has been a steady decline of the air quality along with an increase in the concentration of PM2.5. It is well known that a high PM2.5 concentrat... 详细信息
来源: 评论
Aquaformer: Underwater Image Enhancement via Adaptive Transformer
Aquaformer: Underwater Image Enhancement via Adaptive Transf...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Harsh Bhandari Sarbani Palit Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
Water causes degradation of quality in optical images captured underwater due to its physical properties of absorption and scattering. This degradation is further aggravated by the increase in water depth and the pres... 详细信息
来源: 评论
Low Resource Degraded Quality Document Image Binarization - Domain Adaptation is the Way  13
Low Resource Degraded Quality Document Image Binarization - ...
收藏 引用
13th indian Conference on computer vision, Graphics, and Image Processing, ICVGIP 2022
作者: Kundu, Ahana Bhattacharya, Ujjwal Computer Vision and Pattern Recognition Indian Statistical Institute West Bengal Kolkata India
Usually, image binarization plays a crucial role in automatic analysis of degraded documents from their captured images. However, this binarization task is often difficult due to a number of reasons including the high... 详细信息
来源: 评论
A New Contrastive Learning Based Model for Estimating Degree of Multiple Personality Traits Using Social Media Posts  1
收藏 引用
7th Asian Conference on pattern recognition, ACPR 2023
作者: Biswas, Kunal Shivakumara, Palaiahnakote Pal, Umapada Sarkar, Ram Jadavpur University Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kula Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India
Estimating the degree of multiple personality traits in a single image is challenging due to the presence of multiple people, occlusion, poor quality etc. Unlike existing methods which focus on the classification of a... 详细信息
来源: 评论
PCGAUNet: Pixel Correlation and Gaussian Attention Driven Network for Text Segmentation  27th
PCGAUNet: Pixel Correlation and Gaussian Attention Driven Ne...
收藏 引用
27th International Conference on pattern recognition, ICPR 2024
作者: Roy, Ayush Palaiahnakote, Shivakumara Pal, Umapada Antonacopoulos, Apostolos Ramachandra, Raghavendra Computer Vision and Pattern Recognition Indian Statistical Institute Kolkata India School of Science Engineering and Environment University of Salford Manchester United Kingdom Norwegian University of Science and Technology Trondheim Norway
Text-line segmentation is still considered challenging for complex background scene images. The success of text detection and recognition depends on the success of the text segmentation. This study presents a new meth... 详细信息
来源: 评论
XLSI: A New Xception and Log Polar Transform Based Approach for Scene Text Script Identification  27th
XLSI: A New Xception and Log Polar Transform Based Approach ...
收藏 引用
27th International Conference on pattern recognition, ICPR 2024
作者: Roy, Ayush Palaiahnakote, Shivakumara Pal, Umapada Antonacopoulos, Apostolos Blumenstein, Michael Computer Vision and Pattern Recognition Indian Statistical Institute Kolkata Kolkata India School of Science Engineering and Environment University of Salford Manchester United Kingdom University of Technology Sydney Sydney Australia
Script identification of text in natural scene images is challenging due to complex backgrounds, arbitrary orientations, different-sized characters, varying fonts, and multiple styles. Most existing methods are not ef... 详细信息
来源: 评论
Low Resource Degraded Quality Document Image Binarization – Domain Adaptation is the Way  22
Low Resource Degraded Quality Document Image Binarization –...
收藏 引用
Proceedings of the Thirteenth indian Conference on computer vision, Graphics and Image Processing
作者: Ahana Kundu Ujjwal Bhattacharya Computer Vision and Pattern Recognition Indian Statistical Institute IN Computer Vision and Pattern Recognition ISI Kolkata IN
Usually, image binarization plays a crucial role in automatic analysis of degraded documents from their captured images. However, this binarization task is often difficult due to a number of reasons including the high... 详细信息
来源: 评论