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

1,535 篇 会议
21 册 图书
13 篇 期刊文献

馆藏范围

1,569 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,449 篇 工学
- 1,046 篇 计算机科学与技术...
- 655 篇 机械工程
- 358 篇 电气工程
- 111 篇 软件工程
- 55 篇 控制科学与工程
- 49 篇 信息与通信工程
- 35 篇 光学工程
- 28 篇 仪器科学与技术
- 17 篇 网络空间安全
- 15 篇 生物工程
- 9 篇 生物医学工程（可授...
- 8 篇 电子科学与技术（可...
- 8 篇 安全科学与工程
- 7 篇 测绘科学与技术
- 4 篇 化学工程与技术
- 3 篇 建筑学
112 篇 医学
- 108 篇 临床医学
- 6 篇 基础医学(可授医学...
- 4 篇 特种医学
87 篇 理学
- 38 篇 物理学
- 34 篇 数学
- 24 篇 生物学
- 12 篇 统计学（可授理学、...
- 9 篇 系统科学
- 5 篇 化学
42 篇 管理学
- 32 篇 图书情报与档案管...
- 10 篇 管理科学与工程(可...
24 篇 艺术学
- 24 篇 设计学（可授艺术学...
19 篇 法学
- 19 篇 社会学
15 篇 文学
- 15 篇 新闻传播学
2 篇 教育学
2 篇 农学
1 篇 经济学

主题

528 篇 computer vision
139 篇 face recognition
135 篇 pattern recognit...
135 篇 feature extracti...
130 篇 cameras
129 篇 image segmentati...
128 篇 object recogniti...
115 篇 object detection
103 篇 training
98 篇 robustness
94 篇 images
92 篇 image recognitio...
90 篇 shape
90 篇 layout
84 篇 visualization
77 篇 image reconstruc...
76 篇 humans
70 篇 computer science
66 篇 computational mo...
66 篇 image classifica...

机构

23 篇 rhein westfal th...
18 篇 carnegie mellon ...
16 篇 chinese acad sci...
15 篇 stanford univ st...
14 篇 univ chinese aca...
11 篇 australian natl ...
11 篇 univ calif berke...
10 篇 univ sci & techn...
10 篇 mit cambridge ma...
10 篇 univ maryland co...
9 篇 microsoft res as...
9 篇 univ washington ...
8 篇 microsoft resear...
8 篇 microsoft res re...
8 篇 natl univ singap...
7 篇 chinese univ hon...
7 篇 tech univ munich...
6 篇 mpi intelligent ...
6 篇 kaust thuwal
6 篇 imperial coll lo...

作者

20 篇 leibe bastian
12 篇 ji qiang
10 篇 li stan z.
9 篇 pal umapada
8 篇 zhang lei
8 篇 chellappa rama
8 篇 lei zhen
8 篇 zafeiriou stefan...
8 篇 hu weiming
8 篇 hua gang
7 篇 ramanan deva
7 篇 wang xiaogang
7 篇 yan shuicheng
7 篇 mubarak shah
6 篇 van gool luc
6 篇 darrell trevor
6 篇 luiten jonathon
6 篇 pollefeys marc
6 篇 bischof horst
6 篇 ghanem bernard

语言

1,554 篇 英文
9 篇 土耳其文
2 篇 日文
2 篇 其他
1 篇 西班牙文
1 篇 中文

检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"

共 1569 条记录，以下是891-900 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：

Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow

Whitened Expectation Propagation: Non-Lambertian Shape from ...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Potetz, Brian Hajiarbabi, Mohammadreza Google Inc Mountain View CA 94043 USA Univ Kansas Lawrence KS 66045 USA

ISBN: (纸本)9780769549897

For problems over continuous random variables, MRFs with large cliques pose a challenge in probabilistic inference. Difficulties in performing optimization efficiently have limited the probabilistic models explored in computer vision and other fields. One inference technique that handles large cliques well is Expectation Propagation. EP offers run times independent of clique size, which instead depend only on the rank, or intrinsic dimensionality, of potentials. this property would be highly advantageous in computer vision. Unfortunately, for grid-shaped models common in vision, traditional Gaussian EP requires quadratic space and cubic time in the number of pixels. Here, we propose a variation of EP that exploits regularities in natural scene statistics to achieve run times that are linear in both number of pixels and clique size. We test these methods on shape from shading, and we demonstrate strong performance not only for Lambertian surfaces, but also on arbitrary surface reflectance and lighting arrangements, which requires highly non-Gaussian potentials. Finally, we use large, non-local cliques to exploit cast shadow, which is traditionally ignored in shape from shading.

关键词： Gaussian processes computer vision image resolution inference mechanisms learning (artificial intelligence)

来源：评论

学校读者我要写书评

暂无评论

Pose from Flow and Flow from Pose

Pose from Flow and Flow from Pose

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Fragkiadaki, Katerina Hu, Han Shi, Jianbo Univ Penn Grasp Lab Philadelphia PA 19104 USA Tsinghua Univ Beijing 100084 Peoples R China

ISBN: (纸本)9780769549897

Human pose detectors, although successful in localising faces and torsos of people, often fail with lower arms. Motion estimation is often inaccurate under fast movements of body parts. We build a segmentation-detection algorithm that mediates the information between body parts recognition, and multi-frame motion grouping to improve both pose detection and tracking. Motion of body parts, though not accurate, is often sufficient to segment them from their backgrounds. Such segmentations are crucial for extracting hard to detect body parts out of their interior body clutter. By matching these segments to exemplars we obtain pose labeled body segments. the pose labeled segments and corresponding articulated joints are used to improve the motion flow fields by proposing kinematically constrained affine displacements on body parts. the pose-based articulated motion model is shown to handle large limb rotations and displacements. Our algorithm can detect people under rare poses, frequently missed by pose detectors, showing the benefits of jointly reasoning about pose, segmentation and motion in videos.

关键词： face recognition image segmentation object detection pose estimation video signal processing

来源：评论

学校读者我要写书评

暂无评论

Towards Efficient and Exact MAP-Inference for Large Scale Discrete computer vision Problems via Combinatorial Optimization

Towards Efficient and Exact MAP-Inference for Large Scale Di...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Kappes, Joerg Hendrik Speth, Markus Reinelt, Gerhard Schnoerr, Christoph Heidelberg Univ Image & Pattern Anal Grp Bergheimer Str 58 D-69115 Heidelberg Germany Heidelberg Univ Discrete & Combinatorial Optimizat Grp D-69115 Heidelberg Germany

ISBN: (纸本)9780769549897

Discrete graphical models (also known as discrete Markov random fields) are a major conceptual tool to model the structure of optimization problems in computer vision. While in the last decade research has focused on fast approximative methods, algorithms that provide globally optimal solutions have come more into the research focus in the last years. However, large scale computer vision problems seemed to be out of reach for such methods. In this paper we introduce a promising way to bridge this gap based on partial optimality and structural properties of the underlying problem factorization. Combining these preprocessing steps, we are able to solve grids of size 2048x2048 in less than 90 seconds. On the hitherto unsolvable Chinese character dataset of Nowozin et al. we obtain provably optimal results in 56% of the instances and achieve competitive runtimes on other recent benchmark problems. While in the present work only generalized Potts models are considered, an extension to general graphical models seems to be feasible.

关键词： Markov processes combinatorial mathematics computer vision optimisation

来源：评论

学校读者我要写书评

暂无评论

Supervised Descent Method and its Applications to Face Alignment

Supervised Descent Method and its Applications to Face Align...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Xiong, Xuehan De la Torre, Fernando Carnegie Mellon Univ Inst Robot Pittsburgh PA 15213 USA

ISBN: (纸本)9780769549897

Many computer vision problems (e. g., camera calibration, image alignment, structure from motion) are solved through a nonlinear optimization method. It is generally accepted that 2nd order descent methods are the most robust, fast and reliable approaches for nonlinear optimization of a general smooth function. However, in the context of computer vision, 2nd order descent methods have two main drawbacks: (1) the function might not be analytically differentiable and numerical approximations are impractical. (2) the Hessian might be large and not positive definite. To address these issues, this paper proposes a Supervised Descent Method (SDM) for minimizing a Non-linear Least Squares (NLS) function. During training, the SDM learns a sequence of descent directions that minimizes the mean of NLS functions sampled at different points. In testing, SDM minimizes the NLS objective using the learned descent directions without computing the Jacobian nor the Hessian. We illustrate the benefits of our approach in synthetic and real examples, and show how SDM achieves state-of-the-art performance in the problem of facial feature detection. the code is available at ***/intraface.

关键词： computer vision face recognition feature extraction gradient methods learning (artificial intelligence) least squares approximations nonlinear programming

来源：评论

学校读者我要写书评

暂无评论

Automatic Signer Diarization - the Mover is the Signer Approach

Automatic Signer Diarization - the Mover is the Signer Appro...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Gebre, Binyam Gebrekidan Wittenburg, Peter Heskes, Tom Max Planck Inst Psycholinguist Nijmegen Netherlands Radboud Univ Nijmegen Nijmegen Netherlands

ISBN: (纸本)9780769549903

We present a vision-based method for signer diarization - the task of automatically determining "who signed when?" in a video. this task has similar motivations and applications as speaker diarization but has received little attention in the literature. In this paper, we motivate the problem and propose a method for solving it. the method is based on the hypothesis that signers make more movements than their interlocutors. Experiments on four videos (a total of 1.4 hours and each consisting of two signers) show the applicability of the method. the best diarization error rate (DER) obtained is 0.16.

关键词： computer vision gesture recognition image motion analysis object recognition video signal processing

来源：评论

学校读者我要写书评

暂无评论

Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity recognition

Augmenting Bag-of-Words: Data-Driven Discovery of Temporal a...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Bettadapura, Vinay Schindler, Grant Ploetz, thomas Essa, Irfan Georgia Inst Technol Atlanta GA 30332 USA Newcastle Univ Newcastle Upon Tyne Tyne & Wear England

ISBN: (纸本)9780769549897

We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities are not known a priori. Our approach specifically addresses the limitations of standard BoW approaches, which fail to represent the underlying temporal and causal information that is inherent in activity streams. In addition, we also propose the use of randomly sampled regular expressions to discover and encode patterns in activities. We demonstrate the effectiveness of our approach in experimental evaluations where we successfully recognize activities and detect anomalies in four complex datasets.

关键词： image coding image recognition image retrieval topology

来源：评论

学校读者我要写书评

暂无评论

HON4D: Histogram of Oriented 4D Normals for Activity recognition from Depth Sequences

HON4D: Histogram of Oriented 4D Normals for Activity Recogni...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Oreifej, Omar Liu, Zicheng Univ Cent Florida Orlando FL 32816 USA Microsoft Res Redmond WA USA

ISBN: (纸本)9780769549897

We present a new descriptor for activity recognition from videos acquired by a depth sensor Previous descriptors mostly compute shape and motion features independently;thus, they often fail to capture the complex joint shape-motion cues at pixel-level. In contrast, we describe the depth sequence using a histogram capturing the distribution of the surface normal orientation in the 4D space of time, depth, and spatial coordinates. To build the histogram, we create 4D projectors, which quantize the 4D space and represent the possible directions for the 4D normal. We initialize the projectors using the vertices of a regular polychoron. Consequently, we refine the projectors using a discriminative density measure, such that additional projectors are induced in the directions where the 4D normals are more dense and discriminative. through extensive experiments, we demonstrate that our descriptor better captures the joint shape-motion cues in the depth sequence, and thus outperforms the state-of-the-art on all relevant benchmarks.

关键词： computational geometry image motion analysis image sensors image sequences normal distribution quantisation (signal)

来源：评论

学校读者我要写书评

暂无评论

A Mobile vision System for Fast and Accurate Ellipse Detection

A Mobile Vision System for Fast and Accurate Ellipse Detecti...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Fornaciari, Michele Cucchiara, Rita Prati, Andrea Univ Modena & Reggio Emilia Via Vignolese 905 Modena Italy Univ IUAV Venice I-1957 Venice Italy

ISBN: (纸本)9780769549903

Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware resources, as in the case of mobile devices. this demo is based on a novel algorithm for fast and accurate ellipse detection. the proposed algorithm relies on a careful selection of arcs which are candidate to form ellipses and on the use of Hough transform to estimate parameters in a decomposed space. the demo will show it working on a commercial smart-phone.

关键词： Hough transforms computer vision smart phones

来源：评论

学校读者我要写书评

暂无评论

Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes

Image Understanding from Experts' Eyes by Modeling Perceptua...

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Li, Rui Shi, Pengcheng Haake, Anne R. Rochester Inst Technol Rochester NY 14623 USA

ISBN: (纸本)9780769549897

Eliciting and representing experts' remarkable perceptual capability of locating, identifying and categorizing objects in images specific to their domains of expertise will benefit image understanding in terms of transferring human domain knowledge and perceptual expertise into image-based computational procedures. In this paper, we present a hierarchical probabilistic framework to summarize the stereotypical and idiosyncratic eye movement patterns shared within 11 board-certified dermatologists while they are examining and diagnosing medical images. Each inferred eye movement pattern characterizes the similar temporal and spatial properties of its corresponding segments of the experts' eye movement sequences. We further discover a subset of distinctive eye movement patterns which are commonly exhibited across multiple images. Based on the combinations of the exhibitions of these eye movement patterns, we are able to categorize the images from the perspective of experts' viewing strategies. In each category, images share similar lesion distributions and configurations. the performance of our approach shows that modeling physicians' diagnostic viewing behaviors informs about medical images' understanding to correct diagnosis.

关键词： human factors image classification image sequences medical image processing object recognition probability

来源：评论

学校读者我要写书评

暂无评论

What's in a Name? First Names as Facial Attributes

What's in a Name? First Names as Facial Attributes

引用

26th ieee conference on computer vision and pattern recognition (cvpr)

作者： Chen, Huizhong Gallagher, Andrew C. Girod, Bernd Stanford Univ Stanford CA 94305 USA Cornell Univ Ithaca NY 14853 USA

ISBN: (纸本)9780769549897

this paper introduces a new idea in describing people using their first names, i.e., the name assigned at birth. We show that describing people in terms of similarity to a vector of possible first names is a powerful description of facial appearance that can be used for face naming and building facial attribute classifiers. We build models for 100 common first names used in the United States and for each pair, construct a pairwise first-name classifier. these classifiers are built using training images downloaded from the internet, with no additional user interaction. this gives our approach important advantages in building practical systems that do not require additional human intervention for labeling. We use the scores from each pairwise name classifier as a set of facial attributes. We show several surprising results. Our name attributes predict the correct first names of test faces at rates far greater than chance. the name attributes are applied to gender recognition and to age classification, outperforming state-of-the-art methods with all training images automatically gathered from the internet.

关键词： Internet face recognition image classification

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157页 << < 86 87 88 89 90 91 92 93 94 95 > >>

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：