检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

920 篇 会议
61 册 图书
23 篇 期刊文献

馆藏范围

1,004 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

821 篇 工学
- 719 篇 计算机科学与技术...
- 375 篇 软件工程
- 336 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...
- 41 篇 电子科学与技术（可...
- 35 篇 化学工程与技术
- 28 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
1 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 generative adver...
10 篇 object detection
10 篇 computer communi...
10 篇 pixels
10 篇 feature extracti...
10 篇 machine learning

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

997 篇 英文
3 篇 俄文
3 篇 中文
2 篇 其他

检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

共 1004 条记录，以下是251-260 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Incorporating Cohort Information for Reliable Palmprint Authentication

Incorporating Cohort Information for Reliable Palmprint Auth...

引用

6th indian conference on computer vision, graphics and image processing

作者： Kumar, Ajay Indian Inst Technol Delhi Biometr Res Lab Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)9781424442195

this paper presents a new approach to achieve the performance improvement for the traditional palmprint authentication approaches. the cohort information is used in the matching stage but only when the matching scores are inadequate to generate reliable decisions. the cohort information can also be utilized to achieve the significant performance improvement for the combination of modalities and this is demonstrated from the experimental results in this paper. the rigorous palmprint authentication results presented in this paper are the best in the literature and confirm the utility of significant information that can be extracted from the imposter scores. the statistical estimation of confidence level for the palmprint matching requires an excellent match between the theoretical distribution and the real score distribution. the performance analysis presented in this paper, from over 29.96 million imposter matching scores, suggests that Beta-Binomial function can more accurately model the distribution of real palmprint matching scores.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Degraded Document image Enhancement using Hybrid thresholding and Mathematical Morphology

Degraded Document Image Enhancement using Hybrid Thresholdin...

引用

6th indian conference on computer vision, graphics and image processing

作者： Babu, Nija Preethi, N. G. Shylaja, S. S. PES Inst Technol Dept Comp Sci & Engn Bangalore Karnataka India

ISBN: (纸本)9781424442195

the paper presents a hybrid thresholding approach for binarization and enhancement of degraded documents. Historical documents contain information of great cultural and scientific value. But such documents are frequently degraded over time. Digitized degraded documents require specialized processing to remove different kinds of noise and to improve readability. the approach for enhancing degraded documents uses a combination of two thresholding algorithms. First, iterative global thresholding is applied to the smoothed degraded image until the stopping criteria is reached then a threshold selection method from gray level histogram is used to binarize the image. the next step is detecting areas where noise still remains and applying iterative thresholding locally. A method to improve the quality of textual information in the document is also done as a post processing stage, thus making the approach efficient and better suited for character recognition applications.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

A biologically inspired saliency model for color fundus images 16

A biologically inspired saliency model for color fundus imag...

引用

10th indian conference on computer vision, graphics and image processing (ICVGIP)

作者： Rangrej, Samrudhdhi B. Sivaswamy, Jayanthi IIIT Hyderabad CVIT Hyderabad Andhra Pradesh India

ISBN: (纸本)9781450347532

Saliency computation is widely studied in computer vision but not in medical imaging. Existing computational saliency models have been developed for general (natural) images and hence may not be suitable for medical images. this is due to the variety of imaging modalities and the requirement of the models to capture not only normal but also deviations from normal anatomy. We present a biologically inspired model for colour fundus images and illustrate it for the case of diabetic retinopathy. the proposed model uses spatially varying morphological operations to enhance lesions locally and combines an ensemble of results, of such operations, to generate the saliency map. the model is validated against an average Human Gaze map of 15 experts and found to have 10% higher recall (at 100% precision) than four leading saliency models proposed for natural images. the F-score for match with manual lesion markings by 5 experts was 0.4 (as opposed to 0.532 for gaze map) for our model and very poor for existing models. the model's utility is shown via a novel enhancement method which employs saliency to selectively enhance the abnormal regions and this was found to boost their contrast to noise ratio by similar to 30%.

关键词： Colour fundus image diabetic retinopathy (DR) saliency spatially-varying morphology gaze map selective-enhancement

来源：评论

学校读者我要写书评

暂无评论

In Situ Visual Quality Control in 3D Printing 15

In Situ Visual Quality Control in 3D Printing

引用

15th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 11th International conference on Information Visualization theory and Applications (IVAPP)

作者： Kopsacheilis, Charalampos Charalampous, Paschalis Kostavelis, Ioannis Tzovaras, Dimitrios Ctr Res & Technol Informat Technol Inst CERTH ITI 6th Km Charilaou Thermi Rd Thessaloniki 57001 Greece

ISBN: (纸本)9789897584022

In the past decade, additive manufacturing technology has gained an immense attention in numerous research areas and has already been adopted in a wide range of industries relevant to transportation, healthcare, electronics and energy. However, the presence of defects and dimensional deviations that occur during the process hinder the broad exploitation of 3D printing. In order to enhance the capabilities of this emerging technology, online quality control methodologies and verifications of the manufacturing process are necessary to be developed. In the present article, a low cost in-situ vision-based monitoring technique applied in Fused Deposition Modeling (FDM) 3D printing technology is introduced. An optical scanning system was integrated in a commercial 3D Printer in order to scan and validate the performance of the procedure. the proposed methodology monitors the FDM process and correlates the theoretical 3D model with the manufactured one. this technique can be utilized in various additive manufacturing technologies providing integrity and reliability of the process, high quality standards and reduced production costs.

关键词： 3D Printing Additive Manufacturing Quality Control Optical Monitoring image processing

来源：评论

学校读者我要写书评

暂无评论

Efficient Face Frontalization in Unconstrained images 5

Efficient Face Frontalization in Unconstrained Images

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Mallikarjun, B. R. Chari, Visesh Jawahar, C. V. IIIT Hyderabad CVIT Hyderabad Andhra Pradesh India

ISBN: (纸本)9781467385640

Face frontalization is the process of synthesizing a frontal view of a face, given its non-frontal view. Frontalization is used in intelligent photo editing tools and also aids in improving the accuracy of face recognition systems. For example, in the case of photo editing, faces of persons in a group photo can be corrected to look into the camera, if they are looking elsewhere. Similarly, even though recent methods in face recognition claim accuracy which surpasses that of humans in some cases, performance of recognition systems degrade when profile view of faces are given as input. One way to address this issue is to synthesize frontal views of faces before recognition. We propose a simple and efficient method to address the face frontalization problem. Our method leverages the fact that faces in general have a definite structure and can be represented in a low dimensional subspace. We employ an exemplar based approach to find the transformation that relates the profile view to the frontal view, and use it to generate realistic frontalizations. Our method does not involve estimating 3D model of the face, which is a common approach in previous work in this area. this leads to an efficient solution, since we avoid the complexity of adding one more dimension to the problem. Our method also retains the structural information of the individual as compared to that of a recent method [4], which assumes a generic 3D model for synthesis. We show impressive qualitative and quantitative results in comparison to the state-of-the-art in this field.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Audio-guided Video Interpolation via Human Pose Features 15

Audio-guided Video Interpolation via Human Pose Features

引用

15th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 15th International conference on computer vision theory and Applications (VISAPP)

作者： Nakatsuka, Takayuki Hamanaka, Masatoshi Morishima, Shigeo Waseda Univ Tokyo Japan RIKEN Wako Saitama Japan Waseda Res Inst Sci & Engn Tokyo Japan

ISBN: (纸本)9789897584022

this paper describes a method that generates in-between frames of two videos of a musical instrument being played. While image generation achieves a successful outcome in recent years, there is ample scope for improvement in video generation. the keys to improving the quality of video generation are the high resolution and temporal coherence of videos. We solved these requirements by using not only visual information but also aural information. the critical point of our method is using two-dimensional pose features to generate high-resolution in-between frames from the input audio. We constructed a deep neural network with a recurrent structure for inferring pose features from the input audio and an encoder-decoder network for padding and generating video frames using pose features. Our method, moreover, adopted a fusion approach of generating, padding, and retrieving video frames to improve the output video. Pose features played an essential role in both end-to-end training with a differentiable property and combining a generating, padding, and retrieving approach. We conducted a user study and confirmed that the proposed method is effective in generating interpolated videos.

关键词： Video Interpolation Pose Estimation Signal processing Generative Adversarial Network Gated Recurrent Unit

来源：评论

学校读者我要写书评

暂无评论

Lost in Context: the Influence of Context on Feature Attribution Methods for Object Recognition 24

Lost in Context: The Influence of Context on Feature Attribu...

引用

15th indian conference on computer vision graphics and image processing

作者： Adhikari, Sayanta Kumar, Rishav Mopuri, Konda Reddy Pachamuthu, Rajalakshmi Indian Inst Technol Hyderabad Artificial Intelligence & Machine Learning Hyderabad Telangana India Indian Inst Technol Hyderabad Elect Engn Hyderabad Telangana India

ISBN: (纸本)9798400710759

Contextual information plays a critical role in object recognition models within computer vision, where changes in context can significantly affect accuracy, underscoring models' dependence on contextual cues. this study investigates how context manipulation influences both model accuracy and feature attribution, providing insights into the reliance of object recognition models on contextual information as understood through the lens of feature attribution methods. We employ a range of feature attribution techniques to decipher the reliance of deep neural networks on context in object recognition tasks. Using the imageNet-9 and our curated imageNet-CS datasets, we conduct experiments to evaluate the impact of contextual variations, analyzed through feature attribution methods. Our findings reveal several key insights: (a) Correctly classified images predominantly emphasize object volume attribution over context volume attribution. (b) the dependence on context remains relatively stable across different context modifications, irrespective of classification accuracy. (c) Context change exerts a more pronounced effect on model performance than Context perturbations. (d) Surprisingly, context attribution in 'no-information' scenarios is non-trivial. Our research moves beyond traditional methods by assessing the implications of broad-level modifications on object recognition, either in the object or its context. Code available at https://***/nineRishav/Lost-In-Context

关键词： Context Explainable AI (XAI) imageNet Feature Attribution Object Recognition

来源：评论

学校读者我要写书评

暂无评论

Robust Speech Recognition with Unsupervised Frame and Character Level Adversarial Domain Matching 24

Robust Speech Recognition with Unsupervised Frame and Charac...

引用

15th indian conference on computer vision graphics and image processing

作者： Paul, Soumen Das, Partha Pratim Rao, Krothapalli Sreenivasa Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India

ISBN: (纸本)9798400710759

End-to-end automatic speech recognition (ASR) systems achieve promising performance for large-scale speech datasets. However, these systems experience performance degradation when a domain mismatch exists between training and test datasets. this paper addresses the domain adaptation problem by employing adversarial learning in an unsupervised manner, along with the ASR training. We propose frame level and character level domain adversarial training, which reduces the domain shift between source and target data. Frame-level adversarial training selects all source and target speech frames and tries to classify them into two domains. On the contrary, character-level training generates pseudo-labels for source and target batches and finds the feature distribution for each pseudo-character label. A random feature is selected for each character from the source and target domains. this feature set of all characters is used in the domain classification. Experiments on the Libriadapt and Librispeech clean dataset show that our approaches achieve similar word error rate (WER) reduction as for the state-of-the-art approaches with lower time complexities. the proposed approaches expect promising results for other speech adaptation applications, which will be analyzed in the future.

关键词： Adversarial learning Unsupervised domain adaptation Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Transferring Appearance with Mask-Guided Attention 24

Transferring Appearance with Mask-Guided Attention

引用

15th indian conference on computer vision graphics and image processing

作者： Bandla, Manikanta IISc Bangalore Comp Sci & Automat Bangalore Karnataka India

ISBN: (纸本)9798400710759

Despite significant advancements in large-scale text-to-image generation and text-conditioned image editing, appearance transfer remains relatively unexplored. Transferring appearance aims to transfer an object's appearance in an appearance image to an object in the structure image so that background details are preserved and accurately reflect the transferred object's characteristics. Appearance transfer has practical applications in areas like virtual try-on and e-commerce product placement. Existing methods often require fine-tuning text-to-image diffusion models or are not applicable to virtual try-on and e-commerce scenarios, which is not ideal. In this paper, we introduce a Mask-Guided attention mechanism that replaces the existing self-attention in U-net architecture of Stable diffusion [29]. this approach can be easily integrated into the Masactrl [6] framework, enabling appearance transfer without model fine-tuning and suitable for a wide range of applications. Our method uses masks of objects in images to guide the appearance transfer process, with these masks obtained from the Segment Anything Model (SAM) [17]. this integration of SAM-generated masks allows for precise object localization and more accurate appearance transfer. We have conducted comprehensive experiments on transferring various clothing items (shirts, jeans, t-shirts) onto people, as well as transferring sofas into living spaces.

关键词： Appearance transfer image editing virtual try-on sofa placement masked attention segmentation

来源：评论

学校读者我要写书评

暂无评论

Combining Diagrammatic Reasoning with Qualitative Spatial and Temporal Reasoning for Motion Event Detection 5

Combining Diagrammatic Reasoning with Qualitative Spatial an...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Nath, Chayanika D. Hazarika, Shyamanta M. Tezpur Univ Sch Engn Biomimet & Cognit Robot Lab Comp Sci & Engn Tezpur 784028 India

ISBN: (纸本)9781467385640

Everyday spatio-temporal reasoning is driven through qualitative abstractions over mental maps or 'diagrams'. Diagrammatic reasoning involves direct manipulation and inspection of diagrams as the primary means of inference. Diagrammatic representation offer computational advantage in problems where spatial relationships play a prominent role. In video, objects change spatial relationships over time. therefore, combining diagrammatic reasoning with qualitative spatial and temporal reasoning holds promise. In this paper, we put forward a framework combining diagrammatic representation with qualitative spatial and temporal reasoning for motion event detection in video. Key frames with tracked objects for a given video are extracted. these frames in forward moving time are represented using specified;'diagrams'. A set of perception function is defined exploiting results from diagrammatic reasoning and qualitative spatial and temporal reasoning for determining spatial relations between objects of interest. Inter diagrammatic reasoning operator is used to combine sequence of diagrams for extracting spatio-temporal changes. Diagram modification function is defined exploiting results from qualitative reasoning to extract directional information. Considering extracted relative position and relative direction of displacement as features, we use supervised machine learning techniques to recognize motion events in video. the approach is tested in videos with few people/groups meeting, walking together and splitting up/fighting from the CAVIAR dataset.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共101页 << < 22 23 24 25 26 27 28 29 30 31 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：