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

3,408 篇 会议
49 篇 期刊文献
41 册 图书
3 篇 学位论文

馆藏范围

3,501 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,883 篇 工学
- 1,309 篇 计算机科学与技术...
- 912 篇 软件工程
- 688 篇 信息与通信工程
- 337 篇 电气工程
- 203 篇 光学工程
- 201 篇 控制科学与工程
- 192 篇 生物工程
- 158 篇 电子科学与技术（可...
- 141 篇 机械工程
- 130 篇 生物医学工程（可授...
- 118 篇 仪器科学与技术
- 74 篇 化学工程与技术
- 65 篇 网络空间安全
- 55 篇 土木工程
- 54 篇 材料科学与工程（可...
- 51 篇 建筑学
- 42 篇 安全科学与工程
924 篇 理学
- 520 篇 物理学
- 271 篇 数学
- 207 篇 生物学
- 77 篇 统计学（可授理学、...
- 74 篇 化学
- 71 篇 系统科学
364 篇 管理学
- 210 篇 图书情报与档案管...
- 173 篇 管理科学与工程(可...
- 64 篇 工商管理
212 篇 医学
- 190 篇 临床医学
- 63 篇 基础医学(可授医学...
- 49 篇 药学(可授医学、理...
67 篇 法学
- 62 篇 社会学
39 篇 教育学
30 篇 农学
25 篇 文学
19 篇 经济学
18 篇 军事学
3 篇 艺术学
1 篇 历史学

主题

501 篇 visualization
287 篇 visual communica...
216 篇 image processing
196 篇 feature extracti...
154 篇 image coding
117 篇 training
91 篇 accuracy
90 篇 signal processin...
90 篇 semantics
88 篇 cameras
88 篇 multimedia commu...
83 篇 deep learning
83 篇 computer vision
80 篇 humans
80 篇 streaming media
79 篇 image segmentati...
79 篇 computational mo...
66 篇 wireless communi...
65 篇 image reconstruc...
64 篇 three-dimensiona...

机构

24 篇 school of commun...
21 篇 communication un...
21 篇 institute of ima...
19 篇 school of inform...
16 篇 communication un...
15 篇 school of electr...
14 篇 school of inform...
13 篇 school of inform...
12 篇 institute of ima...
8 篇 school of remote...
8 篇 peng cheng labor...
8 篇 lanzhou universi...
8 篇 institute of inf...
7 篇 information engi...
7 篇 communication un...
7 篇 graduate institu...
7 篇 institute of ima...
6 篇 institute of inf...
6 篇 institute for in...
6 篇 shanghai jiao to...

作者

25 篇 guangtao zhai
15 篇 sumei li
14 篇 xiongkuo min
11 篇 xiaokang yang
10 篇 zhenzhong chen
9 篇 zhai guangtao
9 篇 zhongpai gao
9 篇 shan liu
7 篇 lu yu
7 篇 wen gao
6 篇 ping an
6 篇 wenjun zhang
6 篇 hongliang li
6 篇 yang yang
6 篇 dorothea kolossa
6 篇 khursheed khursh...
6 篇 li yu
5 篇 jiang wei
5 篇 li zhang
5 篇 fei su

语言

3,430 篇 英文
41 篇 其他
26 篇 中文
7 篇 土耳其文
1 篇 俄文

检索条件"任意字段=Conference on Visual Information Processing and Communication VI"

共 3501 条记录，以下是21-30 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：

Deep Learning Technique for Computer vision-Based Pose Estimation for Augmented Reality 3rd

Deep Learning Technique for Computer Vision-Based Pose Estim...

引用

3rd International conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Palanimeera, J. Ponmozhi, K. Jyothi, Kanagaraj Dargar, Shashi Kant Birla, Shilpi Department of Computer Applications Sathyabama Institute of Science and Technology Chennai India Department of Computer Applications Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Biotechnology Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnan Kovil Tamil Nadu Virudhunagar India Department of Electronics and Communication Engineering Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789819784288

Pose estimation approaches of open pose were suggested. Pose estimation in real-time is a difficult research subject with many computer vision applications. Pose estimation applications are Human Activity Estimation, Motion Transfer and Augmented Reality, Training Robots, Motion Tracking for Consoles, and Human Fall Detection. This paper describes the Augmented Reality (AR) of pose estimation. AR is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. One interesting use for obtaining the Open-Pose discovered important locations in each pose is in the field of augmented reality. A technique for 3D model overlays on an image using pose key point information that is presented in this study. To extract crucial information from the data, the fully convolutional networks deep learning technique is used. The technique used in this work comprises the real-time intersection of the picture plane with the intended 3D model and accurate model orientation based on the key point data. The performance will greatly depend on the Graphics processing Unit specifications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Generation of Scene Graph and Semantic Image: A Review and Challenge Ahead

Generation of Scene Graph and Semantic Image: A Review and C...

引用

International conference on Artificial Intelligence in information and communication (ICAIIC)

作者： Shao-Kai Hsieh Huey-Ing Liu Department of Electrical Engineering Fu Jen Catholic University New Taipei City Taiwan

ISBN: (数字)9798331507022

ISBN: (纸本)9798331507039

Scene graph generation creates a structured representation of visual scenes by identifying objects and their attributes and the relationships between them. Conversely, semantic image generation converts semantic representations such as scene graphs, textual descriptions, or object layouts, into photorealistic images. This paper provides an overview of recent advancements in generations of scene graph and semantic image. The survey explores how innovations in both fields can complement each other, paving the way for advanced applications in autonomous systems, semantic communication, visual reasoning, and creative industries. Challenges such as data imbalance, scalability, and semantic coherence and future research directions including multimodal integration, prior processing etc. are throughly discussed.

关键词： Surveys visualization Technological innovation Image synthesis Reviews Scalability Semantics Semantic communication Artificial intelligence Photorealistic images

来源：评论

学校读者我要写书评

暂无评论

ALIC: Adaptive Fusion Entropy Model for Learned Image Compression

ALIC: Adaptive Fusion Entropy Model for Learned Image Compre...

引用

2025 IEEE International conference on Acoustics, Speech, and Signal processing, ICASSP 2025

作者： Li, Lingxue Liu, Meiqin Zhang, Yifan Tang, Qi Yao, Chao Zhao, Yao Institute of Information Science Beijing Jiaotong University Beijing China Visual Intelligence + X International Cooperation Joint Laboratory of MOE Beijing Jiaotong University China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China

ISBN: (纸本)9798350368741

Recently, learned image compression algorithms have achieved significant performance. The entropy model is crucial for improving the rate-distortion performance by estimating the probability distribution of latent representation. In this paper, we propose an adaptive fusion entropy model for learned image compression (ALIC). To explore the correlation between channel and global spatial features, an adaptive fusion entropy model (AFEM) is designed. AFEM first slices the latent representation along the channels and leverages the adaptive channel fusion context module (ACFC) to capture correlations between the decoded and current slices. Subsequently, AFEM uses the adaptive spatial fusion context module (ASFC) to further divide the current slice into encoding pixels and reference pixels, thus improving the accuracy of probability estimation. The attention map and modulation parameter are introduced in ACFC and ASFC to interact with channel and spatial features. In addition, the variable-rate residual transformer (VResFormer) is proposed to control dynamic bit-rate by selectively modulating the high-frequency component according to coefficient weight and bias. Experimental results indicate that our ALIC outperforms other learned image compression algorithms. Our ALIC saves 5.89% bit-rate compared with VVC (4:4:4) on Kodak dataset. © 2025 IEEE.

关键词： Entropy model Learned image compression Variable-rate

来源：评论

学校读者我要写书评

暂无评论

MixSense : Mixture of vision Sense

MixSense : Mixture of Vision Sense

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Jian Lin Zhuoran Wang Qibo Qiu Jianzhong Chen Zixian Ge Weizhong Jin Yuchao Yan Li Yu Research & Innovation Institute China Mobile (Zhejiang) Hangzhou China School of Computing and Information University of Pittsburgh Pittsburgh The United States

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

It is a new trend to fine-tune Large Multimodal Models (LMMs) to adapt to specific visual tasks through task-related conversation data. This approach provides a new paradigm for solving various vision-language tasks, however, it still faces two problems: (1) the global visual features input to the backbone Large Language Model (LLM) lack the focus on task-specific information, which may lead a sub-optimal performance on specific visual tasks; (2) The hallucinations on specific tasks are underestimated, which makes the model prone to factual errors during inference. In order to solve these two problems, we propose MixSense, a new LMM paradigm that aligns the visual features of specilized models and general models to the backbone LLM together, increasing the focus on specific task information while maintaining the vanilla capabilities of the model; evaluated and fine-tuned with the constructed task-specific negative samples, we can further assess the degree of hallucinations of the model on specific visual tasks and reduce it. We validate our method on a popular Object Detection (OD) task, Referring Expression Comprehension (REC), and extensive experiments demonstrate the effectiveness of our proposal.

关键词： Training visualization Pipelines Oral communication Object detection Signal processing Lead Market research Proposals Speech processing

来源：评论

学校读者我要写书评

暂无评论

Recent Trends in Low Light Object Detection in Indoor Spaces for Assisting the visually Impaired

Recent Trends in Low Light Object Detection in Indoor Spaces...

引用

Intelligent Data communication Technologies and Internet of Things (IDCIoT), International conference on

作者： Sai Dikkatwar Abhishek Mhaske Harsh Ninawe Harshit Khadia Shraddha S. Gugulothu Information Technology Y.C.C.E Nagpur India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

Tasks involving daily activities are likely to be challenging for visually Impaired People (viP). Researching and assessing systems created for the viP community has been greatly aided by wearable technology. Over the past ten years, a great deal of efforts has gone into creating wearable assistive technology specifically for the vi community. These gadgets are intended to enhance the vi's quality of life by improving their cognitive abilities when navigating in both familiar and unfamiliar indoor and outdoor settings. This paper presents an detailed overview of wearable and assistive technology, along with a critical analysis of each system, highlighting its advantages and disadvantages. The purpose of the study is to educate the vi community and the research community on the capabilities of current systems, the advancements in assistive technologies, and a preview of potential short-and medium-term research directions that could enhance current devices. The blind community helped create the survey's many features and performance metrics, which enable systems classification using both qualitative and quantitative evaluation metrics. This enables the systems under analysis to be ranked according to how they might affect the lives of the vi people.

关键词： Measurement visualization Navigation visual impairment Object detection Glass Text to speech Assistive devices Usability Smart glasses

来源：评论

学校读者我要写书评

暂无评论

Fabrication and Characterization Glass/AZO/Ag Ultraviolet Photodetector

Fabrication and Characterization Glass/AZO/Ag Ultraviolet Ph...

引用

International conference on Signal processing and communication (ICSC)

作者： Rishibrind Kumar Upadhyay Shivani Sharma Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Noida

ISBN: (数字)9798331511890

ISBN: (纸本)9798331511906

In this article, we demonstrate the succinct report on Al-doped Zinc Oxide (AZO) and pristine Zinc Oxide (ZnO) based ultraviolet photodetector device fabrication on the glass substrate. Pristine Zinc oxide (ZnO) and Al-doped ZnO (AZO) nanoparticles were prepared using a simple chemical sol-gel route. The prepared ZnO and Al-doped ZnO (AZO) nanoparticles have been characterized using XRD, and high-resolution SEM for phase formation, and surface morphology respectively. XRD graph confirmed the formation of the wurtzite hexagonal structure of ZnO. The device performance was measured using a semiconductor parametric analyzer with a UV light source for -2V to 2V.

关键词： Fabrication Nanoparticles Performance evaluation X-ray scattering II-vi semiconductor materials Surface morphology Doping Zinc oxide Photodetectors Chemicals

来源：评论

学校读者我要写书评

暂无评论

Towards Dynamic Neural communication and Speech Neuroprosthesis Based on viseme Decoding

Towards Dynamic Neural Communication and Speech Neuroprosthe...

引用

International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ji-Ha Park Seo-Hyun Lee Soowon Kim Seong-Whan Lee Dept. of Artificial Intelligence Korea University Seoul Republic of Korea Dept. of Brain and Cognitive Engineering Korea University Seoul Republic of Korea

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Decoding text, speech, or images from human neural signals holds promising potential both as neuroprosthesis for patients and as innovative communication tools for general users. Although neural signals contain various information on speech intentions, movements, and phonetic details, generating informative outputs from them remains challenging, with mostly focusing on decoding short intentions or producing fragmented outputs. In this study, we developed a diffusion model-based framework to decode visual speech intentions from speech-related non-invasive brain signals, to facilitate face-to-face neural communication. We designed an experiment to consolidate various phonemes to train visemes of each phoneme, aiming to learn the representation of corresponding lip formations from neural signals. By decoding visemes from both isolated trials and continuous sentences, we successfully reconstructed coherent lip movements, effectively bridging the gap between brain signals and dynamic visual interfaces. The results highlight the potential of viseme decoding and talking face reconstruction from human neural signals, marking a significant step toward dynamic neural communication systems and speech neuroprosthesis for patients.

关键词： visualization communication systems Lips Neuroprostheses Signal processing Phonetics Brain modeling Decoding Speech processing Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

DeepFakeGuard: Safeguarding Digital Platforms Against Fake Profiles Using AI 4

DeepFakeGuard: Safeguarding Digital Platforms Against Fake P...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Swarna Sudha, M. Manjula, S. Bharathi, Indira Krishnasamy, Valarmathi vijayalakshmi, K. Ramco Institute of Technology Department of Computer Science and Engineering Rajapalayam India School of Computer Science and Engineering Vellore Institute of Technology Chennai India PSR Engineering College Department of Electronics and Communication Engineering Sivakasi India

ISBN: (纸本)9798331523923

This research introduces DeepFakeGuard, a hybrid deep learning framework designed to detect fake profiles on social media platforms, addressing the growing threat of fraudulent accounts online. DeepFakeGuard integrates multiple data modalities, including textual, visual, behavioral, and network features, to accurately classify profiles as real or fake. Leveraging advanced deep learning models such as BERT for textual analysis, ResNet for image processing, and LSTM for modeling behavioral patterns, DeepFakeGuard provides a comprehensive and robust solution for identifying fake profiles across diverse platforms. The framework processes a rich set of profile characteristics, including account information, posting behavior, post sentiment, and network relationships, ensuring a multi-dimensional analysis of social media accounts. The hybrid architecture of DeepFakeGuard merges outputs from individual sub-models, which are then processed through dense layers for final classification using a sigmoid activation function. This multi-faceted approach significantly enhances detection accuracy, precision, and recall compared to traditional methods. The framework is highly scalable and adaptable to various social media platforms, offering a versatile tool for strengthening online security. With strong performance metrics, including high classification accuracy, DeepFakeGuard demonstrates its potential for real-world applications in mitigating the risks associated with fake profiles. By fostering secure and trustworthy social media environments, this research contributes to the ongoing fight against fraudulent accounts, paving the way for safer online interactions. © 2025 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Skin Cancer Classifier: Performance Enhancement Using Deep Learning Models

Skin Cancer Classifier: Performance Enhancement Using Deep L...

引用

International conference on Signal processing and communication (ICSC)

作者： Swati Mishra Megha Agarwal Department of Electronics and Communication Engineering Jaypee Institute of Information Technology Noida India

ISBN: (数字)9798331511890

ISBN: (纸本)9798331511906

Skin cancer ranks among the most prevalent human malignancies, primarily diagnosed through visual methods, commencing with clinical screening, followed by dermoscopic analysis. The intricate alterations in the visual appearance of skin lesions pose a considerable challenge for automated classification through images. Deep learning techniques have been harnessed to support dermatologists in enhancing diagnostic accuracy. To address this, deep convolutional neural networks (CNNs) are employed to achieve highly discriminating and potentially generalizable results for image classification problems. This research introduces a prediction model designed to classify skin lesions into seven categories using the HAM10000 skin cancer dataset. The MobileNetV2, Resnet50, and DenseNet121 models were used in this study. The MobileNetV2 outperforms with 99.72 % accuracy and achieves 0.88, 0.89, and 0.88 values of precision, recall, and F1 score.

关键词： Deep learning visualization Analytical models Accuracy Computational modeling Skin Real-time systems Lesions Skin cancer Residual neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhanced Image Steganography Using Customized Differences between the Neighboring Pixels

Enhanced Image Steganography Using Customized Differences be...

引用

International conference on Signal processing and communication (ICSC)

作者： Maulana Alirridlo Adifa Widyadhani Chanda D'Layla Ntivuguruzwa Jean De La Croix Tohari Ahmad Departement of Informatics Institut Teknologi Sepuluh Nopember Surabaya Indonesia University of Rwanda Kigali Rwanda

ISBN: (数字)9798331511890

ISBN: (纸本)9798331511906

In the digital era, safeguarding sensitive information from unauthorized access is paramount. Image steganography, which inconspicuously embeds data into visual media, has emerged as a promising solution. However, balancing data embedding capacity with image quality remains a challenge. This study introduces a novel steganographic method that optimizes visual fidelity and payload capacity by utilizing customized differences between neighboring pixels within grouped blocks. Experimental results demonstrate the effectiveness of the proposed method, achieving a Peak Signal-to-Noise Ratio (PSNR) of up to 48.99 dB and a Mean Squared Error (MSE) as low as 1.20 on complex images like “Baboon.” Additionally, Structural Similarity Index Measure (SSIM) values consistently reach a perfect 1.00 across several test cases. The method also achieves a significant payload increase, embedding up to 119,496 bits in the “Resolution Chart” image. By leveraging the precise control over pixel differences, this study introduces a new paradigm in steganography, addressing the trade-off between capacity and quality while ensuring imperceptibility and high efficiency.

关键词： Image quality Steganography visualization PSNR Measurement uncertainty information security Signal processing Media Indexes Payloads

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351页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：