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

23,134 篇 会议
91 篇 期刊文献
15 册 图书

馆藏范围

23,239 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

13,630 篇 工学
- 11,162 篇 计算机科学与技术...
- 3,337 篇 软件工程
- 2,414 篇 机械工程
- 1,662 篇 光学工程
- 1,204 篇 电气工程
- 972 篇 控制科学与工程
- 738 篇 信息与通信工程
- 381 篇 仪器科学与技术
- 322 篇 生物工程
- 239 篇 生物医学工程（可授...
- 188 篇 电子科学与技术（可...
- 109 篇 化学工程与技术
- 104 篇 安全科学与工程
- 99 篇 测绘科学与技术
- 85 篇 建筑学
- 82 篇 土木工程
- 82 篇 交通运输工程
- 56 篇 力学（可授工学、理...
3,696 篇 医学
- 3,684 篇 临床医学
- 76 篇 基础医学(可授医学...
3,137 篇 理学
- 1,880 篇 物理学
- 1,604 篇 数学
- 547 篇 统计学（可授理学、...
- 466 篇 生物学
- 243 篇 系统科学
- 107 篇 化学
491 篇 管理学
- 290 篇 图书情报与档案管...
- 212 篇 管理科学与工程(可...
- 74 篇 工商管理
252 篇 艺术学
- 251 篇 设计学（可授艺术学...
58 篇 法学
38 篇 农学
25 篇 教育学
19 篇 经济学
10 篇 军事学
3 篇 文学

主题

10,395 篇 computer vision
3,893 篇 pattern recognit...
3,101 篇 training
2,104 篇 computational mo...
1,897 篇 visualization
1,799 篇 cameras
1,487 篇 feature extracti...
1,475 篇 three-dimensiona...
1,464 篇 shape
1,447 篇 image segmentati...
1,287 篇 robustness
1,234 篇 computer archite...
1,213 篇 semantics
1,112 篇 benchmark testin...
1,111 篇 conferences
1,104 篇 layout
1,093 篇 object detection
1,085 篇 computer science
1,026 篇 codes
907 篇 face recognition

机构

137 篇 univ sci & techn...
124 篇 univ chinese aca...
121 篇 chinese univ hon...
108 篇 tsinghua univers...
108 篇 carnegie mellon ...
105 篇 microsoft resear...
97 篇 zhejiang univ pe...
91 篇 swiss fed inst t...
85 篇 university of sc...
84 篇 zhejiang univers...
81 篇 shanghai ai lab ...
79 篇 university of ch...
75 篇 shanghai jiao to...
69 篇 microsoft res as...
68 篇 alibaba grp peop...
66 篇 adobe research
65 篇 national laborat...
64 篇 peking univ peop...
61 篇 univ oxford oxfo...
59 篇 peng cheng labor...

作者

80 篇 van gool luc
71 篇 timofte radu
65 篇 zhang lei
43 篇 luc van gool
40 篇 yang yi
37 篇 loy chen change
34 篇 li stan z.
33 篇 liu yang
33 篇 xiaoou tang
33 篇 murino vittorio
33 篇 chen chen
33 篇 qi tian
33 篇 li fei-fei
32 篇 tian qi
32 篇 sun jian
30 篇 ying shan
30 篇 pascal fua
29 篇 darrell trevor
28 篇 li xin
28 篇 hanqing lu

语言

23,161 篇 英文
52 篇 其他
20 篇 中文
5 篇 土耳其文
2 篇 日文

检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"

共 23240 条记录，以下是71-80 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：

LatentPS: Image Editing Using Latent Representations in Diffusion Models

LatentPS: Image Editing Using Latent Representations in Diff...

引用

ieee Winter Applications and computer vision Workshops (WACVW)

作者： Zilong Wu Hideki Murata Nayu Takahashi Qiyu Wu Yoshimasa Tsuruoka The University of Tokyo Dentsu Digital

ISBN: (数字)9798331536626

ISBN: (纸本)9798331536633

Generative image models have significantly advanced recently, enabling detailed image generation from textual prompts. However, accurately describing complex image with textual prompts alone is often challenging. To address this, we propose LatentPS, a novel method for image editing that modifies latent representations during the intermediate stages of the diffusion process. LatentPS leverages the properties of the diffusion process to maintain the structure of synthesized images while editing images through simple operations on latent representations directly. We show that LatentPS achieves promising results in various image editing tasks including moving, resizing and pasting.

关键词： Image quality computer vision Shape Image synthesis Image color analysis conferences Diffusion processes Diffusion models Object recognition

来源：评论

学校读者我要写书评

暂无评论

NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior

NCAP: Scene Text Image Super-Resolution with Non-CAtegorical...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Dongwoo Park Suk Pil Ko THINKWARE Corporation Republic of Korea

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Scene text image super-resolution (STISR) enhances the resolution and quality of low-resolution images. Unlike previous studies that treated scene text images as natural images, recent methods using a text prior (TP), extracted from a pre-trained text recognizer, have shown strong performance. However, two major issues emerge: (1) Explicit categorical priors, like TP, can negatively impact STISR if incorrect. We reveal that these explicit priors are unstable and propose replacing them with Non-CAtegorical Prior (NCAP) using penultimate layer representations. (2) Pre-trained recognizers used to generate TP struggle with low-resolution images. To address this, most studies jointly train the recognizer with the STISR network to bridge the domain gap between low- and high-resolution images, but this can cause an overconfidence phenomenon in the prior modality. We highlight this issue and propose a method to mitigate it by mixing hard and soft labels. Experiments on the TextZoom dataset demonstrate an improvement by 3.5%, while our method significantly enhances generalization performance by 14.8% across four text recognition datasets. Our method generalizes to all TP-guided STISR networks.

关键词： Measurement Bridges computer vision Image recognition Text recognition Superresolution

来源：评论

学校读者我要写书评

暂无评论

Face Anonymization Made Simple

Face Anonymization Made Simple

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Han-Wei Kung Tuomas Varanka Sanjay Saha Terence Sim Nicu Sebe University of Trento University of Oulu National University of Singapore

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods require supplementary data such as facial landmarks and masks to guide the synthesis process. In contrast, our approach uses diffusion models with only a reconstruction loss, eliminating the need for facial landmarks or masks while still producing images with intricate, fine-grained details. We validated our results on two public benchmarks through both quantitative and qualitative evaluations. Our model achieves state-of-the-art performance in three key areas: identity anonymization, facial attribute preservation, and image quality. Beyond its primary function of anonymization, our model can also perform face swapping tasks by incorporating an additional facial image as input, demonstrating its versatility and potential for diverse applications. Our code and models are available at https://***/hanweikung/face_anon_simple.

关键词： Image quality Data privacy computer vision Face recognition Computational modeling Diffusion models Information filtering Image reconstruction Facial features Information integrity

来源：评论

学校读者我要写书评

暂无评论

A Rapid Test for Accuracy and Bias of Face recognition Technology

A Rapid Test for Accuracy and Bias of Face Recognition Techn...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Manuel Knott Ignacio Serna Ethan Mann Pietro Perona California Institute of Technology Center for Humans and Machines Max Planck Institute for Human Development

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Measuring the accuracy of face recognition (FR) systems is essential for improving performance and ensuring responsible use. Accuracy is typically estimated using large annotated datasets, which are costly and difficult to obtain. We propose a novel method for 1: 1 face verification that benchmarks FR systems quickly and without manual annotation, starting from approximate labels (e.g., from web search results). Unlike previous methods for training set label cleaning, ours leverages the embedding representation of the models being evaluated, achieving high accuracy in smaller-sized test datasets. Our approach reliably estimates FR accuracy and ranking, significantly reducing the time and cost of manual labeling. We also introduce the first public benchmark of five FR cloud services, revealing demographic biases, particularly lower accuracy for Asian women. Our rapid test method can democratize FR testing, promoting scrutiny and responsible use of the technology. Our method is provided as a publicly accessible tool at https://***/caltechvisionlab/frt-rapid-test.

关键词： Training computer vision Accuracy Costs Face recognition Manuals Benchmark testing Reliability Labeling Web search

来源：评论

学校读者我要写书评

暂无评论

SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness

SAND: Enhancing Open-Set Neuron Descriptions through Spatial...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Anvita A. Srinivas Tuomas Oikarinen Divyansh Srivastava Wei-Hung Weng Tsui-Wei Weng University of California San Diego Google Research

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

We propose Spatially-Aware open-set Network Dissection (SAND), a technique to identify and label the learned representation of the neurons of deep vision networks. Con-trary to earlier open-vocabulary neuron explanation meth-ods, we also leverage a neuron's spatial pattern of activation to guide our predictions towards more accurate and rel-evant concepts, while avoiding being misled by confounding visual information. We highlight important regions for a neuron through image masking, which has the advantage of being able to block out irrelevant concepts from an im-age, handling irregularly shaped activation regions, and re-vealing the visual concepts that a neuron learns in order to identify objects. We use CLIP to connect highly activating image regions with descriptive concepts, and measure the quality of our results through human evaluation. Further, since such manual evaluation can be highly time consuming, costly, and unscalable, we also propose an automated approach which uses image generation to get quantitative feedback on the generated concepts. Finally, as an application of our interpretability method, we demonstrate how it can be tuned to the medical domain. Our code is available at https://***/Trustworthy-ML-LabISAND

关键词： Measurement Visualization computer vision Image synthesis Neurons Focusing Manuals Object recognition X-ray imaging Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Camera-based Intruder Detection and Monitoring of Ship Crew Work Hours

Camera-based Intruder Detection and Monitoring of Ship Crew ...

引用

ieee Winter Applications and computer vision Workshops (WACVW)

作者： Md Mahmuddun Nabi Murad Bora San Turgut Awwab Ahmed Gokhan Camliyurt Yasin Yilmaz University of South Florida Tampa FL USA Istanbul University Istanbul Turkey Korea Maritime and Ocean University Busan South Korea

ISBN: (数字)9798331536626

ISBN: (纸本)9798331536633

Due to technological developments and commercial pressures, the crew size on ships has gradually decreased. As a result of the decrease in crew sizes as well as port and turnaround times, seafarers' work hours have increased and working on ships has become increasingly challenging. The health and performance of fatigued crews deteriorates and the risk of causing accidents increases. The working hour limits of seafarers are specified in international leg-islation, but there is no system that provides evidence to check whether the records of work and rest hours reflect the truth. In this study, a face recognition system is presented using CCTV cameras on ships to monitor the work and rest hours of the crew, and to detect intruders on ships. A new CCTV dataset from a commercial ship is presented to study intruder detection and work hours monitoring.

关键词： computer vision Face recognition conferences Seaports Cameras Marine vehicles Monitoring Accidents

来源：评论

学校读者我要写书评

暂无评论

FX-MAD: Frequency-Domain Explainability and Explainability-Driven Unsupervised Detection of Face Morphing Attacks

FX-MAD: Frequency-Domain Explainability and Explainability-D...

引用

ieee Winter Applications and computer vision Workshops (WACVW)

作者： Marco Huber Pedro C. Neto Ana F. Sequeira Naser Damer Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Department of Computer Science Technische Universität Darmstadt Germany INESC TEC Porto Portugal Faculry of Engineering University of Porto Portugal

ISBN: (数字)9798331536626

ISBN: (纸本)9798331536633

Face recognition (FR) systems are vulnerable to morphing attacks, which refer to face images created by morphing the facial features of two different identities into one face image to create an image that can match both identities, allowing serious security breaches. In this work, we apply a frequency-based explanation method from the area of explainable face recognition to shine a light on how FR models behave when processing a bona fide or attack pair from a frequency perspective. In extensive experiments, we used two different state-of-the-art FR models and six different morphing attacks to investigate possible differences in behavior. Our results show that FR models rely differently on different frequency bands when making decisions for bona fide pairs and morphing attacks. In the following step, we show that this behavioral difference can be used to detect morphing attacks in an unsupervised setup solely based on the observed frequency-importance differences in a generalizable manner.

关键词： computer vision Correlation Face recognition Soft sensors Frequency-domain analysis conferences Benchmark testing Security Facial features

来源：评论

学校读者我要写书评

暂无评论

Unified Framework for Open-World Compositional Zero-Shot Learning

Unified Framework for Open-World Compositional Zero-Shot Lea...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Hirunima Jayasekara Khoi Pham Nirat Saini Abhinav Shrivastava University of Maryland College Park

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Open-World Compositional Zero-Shot Learning (OWCZSL) addresses the challenge of recognizing novel compositions of known primitives and entities. Even though prior works utilize language knowledge for recognition, such approaches exhibit limited interactions between language-image modalities. Our approach primarily focuses on enhancing the inter-modality interactions through fostering richer interactions between image and textual data. Additionally, we introduce a novel module aimed at alleviating the computational burden associated with exhaustive exploration of all possible compositions during the inference stage. While previous methods exclusively learn compositions jointly or independently, we introduce an advanced hybrid procedure that leverages both learning mechanisms to generate final predictions. Our proposed model, achieves state-of-the-art in OW-CZSL in three datasets, while surpassing Large vision Language Models (LLVM) in two datasets. Our code is available at https://***/hirunima/OWCZSL

关键词： Learning systems computer vision Codes Computational modeling Zero shot learning Hybrid power systems

来源：评论

学校读者我要写书评

暂无评论

Infant Action Generative Modeling

Infant Action Generative Modeling

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Xiaofei Huang Elaheh Hatamimajoumerd Amal Mathew Sarah Ostadabbas Department of Electrical and Computer Engineering Augmented Cognition Lab (ACLab) Northeastern University Boston MA USA

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Despite advancements in human motion generation models, their performance drops in infant motion generation due to limited data available and lack of 3D skeleton ground truth. To address this, we introduce the infant action generation and classification (InfAGenC) pipeline, which combines a transformer-based variational autoencoder (VAE) with a spatial-temporal graph convolutional network (STGCN) to create synthetic infant action samples. By iterative refinement of the generative model with diverse and accurate data, we improve the realism of synthetic data, leading to more precise infant action recognition models. Our results show significant improvements in action recognition performance on real-world data, demonstrating that synthetic data can enhance small training datasets and advance infant action recognition. Our pipeline increases action recognition accuracy up to 88.58% on the infant action dataset and up to 98% on an adult action dataset 1 1 The InfAGenC code and our infant skeletal data available at https://***/ostadabbas/Infant-Action-Generative-Modeling..

关键词： Training Solid modeling Accuracy Three-dimensional displays Pipelines Transformers Data models Skeleton Iterative methods Synthetic data

来源：评论

学校读者我要写书评

暂无评论

Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference

Deduce and Select Evidences with Language Models for Trainin...

引用

ieee Workshop on Applications of computer vision (WACV)

作者： Yeo Keat Ee Hao Zhang Alexander Matyasko Basura Fernando Institute of High-Performance Computing Agency for Science Technology and Research Singapore Centre for Frontier AI Research Agency for Science Technology and Research Singapore Republic of Singapore

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

We introduce ViDSE, a Video framework that Deduce and Selects visual Evidence for training-free video goal inference using language models. Unlike approaches that directly apply vision-language models (VLM) or combine VLM+LLM to process dense video visuals, ViDSE explicitly selects relevant visual evidence (e.g., frames) based on the hypothesis deduced by the LLM. This approach not only im-proves accuracy but also reveals the logical process behind the model's decisions, enhancing explainability. Our exper-iments demonstrate that this selection process significantly reduces ambiguity in the subsequent inference reasoning stage and outperforms VLM-only and VLM+LLM models on goal inference tasks such as CrossTask and COIN. We further validate ViDSE’ s generalizability and robustness on action recognition tasks, such as ActivityNet and UCF-101, under training-free and open-vocabulary conditions. We observe that ViDSE easily generalizes to other video tasks (e.g., action recognition) requiring filtering of redundant and irrelevant information.

关键词： Visualization computer vision Accuracy Filtering Large language models Computational modeling Robustness Cognition

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500页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：