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

3,317 篇 会议
3 篇 期刊文献

馆藏范围

3,320 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,915 篇 工学
- 1,820 篇 计算机科学与技术...
- 376 篇 软件工程
- 142 篇 机械工程
- 136 篇 光学工程
- 42 篇 生物工程
- 28 篇 信息与通信工程
- 11 篇 控制科学与工程
- 9 篇 电气工程
- 9 篇 电子科学与技术（可...
- 9 篇 化学工程与技术
- 9 篇 交通运输工程
- 8 篇 生物医学工程（可授...
- 7 篇 安全科学与工程
- 4 篇 材料科学与工程（可...
- 4 篇 建筑学
- 3 篇 土木工程
- 3 篇 农业工程
174 篇 理学
- 136 篇 物理学
- 43 篇 生物学
- 29 篇 数学
- 16 篇 统计学（可授理学、...
- 10 篇 化学
29 篇 医学
- 28 篇 临床医学
- 3 篇 基础医学(可授医学...
15 篇 管理学
- 8 篇 管理科学与工程(可...
- 7 篇 图书情报与档案管...
- 3 篇 工商管理
5 篇 法学
- 3 篇 社会学
- 2 篇 法学
2 篇 教育学
- 2 篇 教育学
2 篇 农学
1 篇 经济学

主题

1,179 篇 computer vision
801 篇 conferences
570 篇 training
484 篇 pattern recognit...
330 篇 computational mo...
279 篇 computer archite...
255 篇 visualization
180 篇 feature extracti...
160 篇 neural networks
153 篇 semantics
152 篇 task analysis
145 篇 cameras
143 篇 deep learning
140 篇 three-dimensiona...
139 篇 benchmark testin...
126 篇 low-level vision
117 篇 vision
115 篇 language
113 篇 image segmentati...
112 篇 estimation

机构

35 篇 tsinghua univ pe...
34 篇 univ sci & techn...
28 篇 shanghai ai lab ...
26 篇 chinese univ hon...
25 篇 university of sc...
25 篇 tsinghua univers...
24 篇 peng cheng labor...
23 篇 swiss fed inst t...
23 篇 swiss fed inst t...
23 篇 peng cheng lab p...
22 篇 zhejiang univ pe...
22 篇 carnegie mellon ...
20 篇 univ chinese aca...
20 篇 university of ch...
18 篇 harbin inst tech...
18 篇 shanghai jiao to...
18 篇 sensetime res pe...
16 篇 hong kong univ s...
15 篇 fudan univ peopl...
14 篇 national key lab...

作者

60 篇 timofte radu
26 篇 radu timofte
19 篇 van gool luc
16 篇 lei lei
15 篇 loy chen change
15 篇 qiao yu
14 篇 fan haoqiang
13 篇 zhang yulun
13 篇 liu shuaicheng
13 篇 luc van gool
12 篇 chen chen
12 篇 chen wei-ting
12 篇 li chongyi
11 篇 wangmeng zuo
11 篇 pan jinshan
11 篇 marcos v. conde
10 篇 wei dong
10 篇 zhou shangchen
10 篇 suiyi zhao
10 篇 yu lei

语言

3,319 篇 英文
1 篇 其他

检索条件"任意字段=2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023"

共 3320 条记录，以下是3251-3260 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：

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

Multi-Object Portion Tracking in 4D Fluorescence Microscopy ...

引用

ieee/cvf conference on computer vision and pattern recognition workshops

作者： Yang Jiao Mo Weng Mei Yang Department of Electrical and Computer Engineering University of Nevada School of Life Science University of Nevada

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

3D fluorescence microscopy of living organisms has increasingly become an essential and powerful tool in biomedical research and diagnosis. An exploding amount of imaging data has been collected, whereas efficient and effective computational tools to extract information from them are still lagging behind. This is largely due to the challenges in analyzing biological data. Interesting biological structures are not only small, but are often morphologically irregular and highly dynamic. Although tracking cells in live organisms has been studied for years, existing tracking methods for cells are not effective in tracking subcellular structures, such as protein complexes, which feature in continuous morphological changes including split and merge, in addition to fast migration and complex motion. In this paper, we first define the problem of multi-object portion tracking to model the protein object tracking process. A multi-object tracking method with portion matching is proposed based on 3D segmentation results. The proposed method distills deep feature maps from deep networks, then recognizes and matches objects' portions using an extended search. Experimental results confirm that the proposed method achieves 2.96% higher on consistent tracking accuracy and 35.48% higher on event identification accuracy than the state-of-art methods.

关键词： Organism feature map tracking Fluorescence microscopy Biomedical Research four-dimensional

来源：评论

学校读者我要写书评

暂无评论

Benchmarking Gaze Prediction for Categorical Visual Search

Benchmarking Gaze Prediction for Categorical Visual Search

引用

ieee/cvf conference on computer vision and pattern recognition workshops

作者： Gregory Zelinsky Zhibo Yang Lihan Huang Yupei Chen Seoyoung Ahn Zijun Wei Hossein Adeli Dimitris Samaras Minh Hoai Stony Brook University

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

The prediction of human shifts of attention is a widely-studied question in both behavioral and computer vision, especially in the context of a free viewing task. However, search behavior, where the fixation scanpaths are highly dependent on the viewer's goals, has received far less attention, even though visual search constitutes much of a person's everyday behavior. One reason for this is the absence of real-world image datasets on which search models can be trained. In this paper we present a carefully created dataset for two target categories, microwaves and clocks, curated from the COCO2014 dataset. A total of 2183 images were presented to multiple participants, who were tasked to search for one of the two categories. This yields a total of 16184 validated fixations used for training, making our microwave-clock dataset currently one of the largest datasets of eye fixations in categorical search. We also present a 40-image testing dataset, where images depict both a microwave and a clock target. Distinct fixation patterns emerged depending on whether participants searched for a microwave (n=30) or a clock (n=30) in the same images, meaning that models need to predict different search scanpaths from the same pixel inputs. We report the results of several state-of-the-art deep network models that were trained and evaluated on these datasets. Collectively, these datasets and our protocol for evaluation provide what we hope will be a useful test-bed for the development of new methods for predicting category-specific visual search behavior.

关键词： Visual Search Timing devices Dataset Ocular Fixation images MICROWAVE Categorical Nominal computer vision test bed new methods searching behavior

来源：评论

学校读者我要写书评

暂无评论

SparsePPG: Towards Driver Monitoring Using Camera-Based Vital Signs Estimation in Near-Infrared 31

SparsePPG: Towards Driver Monitoring Using Camera-Based Vita...

引用

ieee/cvf conference on computer vision and pattern recognition (CVPR)

作者： Nowara, Ewa Magdalena Marks, Tim K. Mansour, Hassan Veeraraghavan, Ashok MERL Cambridge MA 02139 USA Rice Univ Houston TX 77005 USA

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

Camera-based measurement of the heartbeat signal from minute changes in the appearance of a person's skin is known as remote photoplethysmography (rPPG). Methods for rPPG have improved considerably in recent years, making possible its integration into applications such as telemedicine. Driver monitoring using in-car cameras is another potential application of this emerging technology. Unfortunately, there are several challenges unique to the driver monitoring context that must be overcome. First, there are drastic illumination changes on the driver's face, both during the day (as sun filters in and out of overhead trees, etc.) and at night (from streetlamps and oncoming headlights), which current rPPG algorithms cannot account for: We argue that these variations are significantly reduced by narrow-bandwidth near-infrared (NIR) active illumination at 940 nm, with matching bandpass filter on the camera. Second, the amount of motion during driving is significant. We perform a preliminary analysis of the motion magnitude and argue that any in-car solution must provide better robustness to motion artifacts. Third, low signal-tonoise ratio (SNR) and false peaks due to motion have the potential to confound the rPPG signal. To address these challenges, we develop a novel rPPG signal tracking and denoising algorithm (sparsePPG) based on Robust Principal Components Analysis and sparse frequency spectrum estimation. We release a new dataset of face videos collected simultaneously in RGB and NIR. We demonstrate that in each of these frequency ranges, our new method performs as well as or better than current state-of-the-art rPPG algorithms. Overall, our preliminary study indicates that while driver vital signs monitoring using cameras is promising, much work needs to be done in terms of improving robustness to motion artifacts before it becomes practical.

关键词： computer vision pattern recognition conferences

来源：评论

学校读者我要写书评

暂无评论

IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded vision 31

IFQ-Net: Integrated Fixed-point Quantization Networks for Em...

引用

ieee/cvf conference on computer vision and pattern recognition (CVPR)

作者： Gao, Hongxing Tao, Wei Wen, Dongchao Chen, Tse-Wei Osa, Kinya Kato, Masami Canon Informat Technol Beijing Co LTD Beijing Peoples R China Canon Inc Device Technol Dev Headquarters Tokyo Japan

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

Deploying deep models on embedded devices has been a challenging problem since the great success of deep learning based networks. Fixed-point networks, which represent their data with low bits fixed-point and thus give remarkable savings on memory usage, are generally preferred. Even though current fixed-point networks employ relative low bits (e.g. 8-bits), the memory saving is far from enough for the embedded devices. On the other hand, quantization deep networks, for example XNOR-Net and HWGQ-Net, quantize the data into 1 or 2 bits resulting in more significant memory savings but still contain lots of floating-point data. In this paper, we propose a fixed-point network for embedded vision tasks through converting the floating-point data in a quantization network into fixed-point. Furthermore, to overcome the data loss caused by the conversion, we propose to compose floating-point data operations across multiple layers (e.g. convolution, batch normalization and quantization layers) and convert them into fixedpoint. We name the fixed-point network obtained through such integrated conversion as Integrated Fixed-point Quantization Networks (IFQ-Net). We demonstrate that our IFQ-Net gives 2.16x and 18x more savings on model size and runtime feature map memory respectively with similar accuracy on ImageNet. Furthermore, based on YOLOv2, we design IFQ-Tinier-YOLO face detector which is a fixed-point network with 256x reduction in model size (246k Bytes) than Tiny-YOLO. We illustrate the promising performance of our face detector in terms of detection rate on Face Detection Data Set and Bencmark (FDDB) and qualitative results of detecting small faces of Wider Face dataset.

关键词： Quantization (signal) Convolution Face Computational modeling Task analysis Detectors Runtime

来源：评论

学校读者我要写书评

暂无评论

Time Analysis of Pulse-based Face Anti-Spoofing in Visible and NIR 31

Time Analysis of Pulse-based Face Anti-Spoofing in Visible a...

引用

ieee/cvf conference on computer vision and pattern recognition (CVPR)

作者： Hernandez-Ortega, Javier Fierrez, Julian Morales, Aythami Tome, Pedro Univ Autonoma Madrid Biometr & Data Pattern Analyt BiDA Lab Madrid Spain

ISBN: (数字)9781538661000

ISBN: (纸本)9781538661000

In this paper we study Presentation Attack Detection (PAD) in face recognition systems against realistic artifacts such as 3D masks or good quality of photo attacks. In recent works, pulse detection based on remote photo-plethysmography (rPPG) has shown to be a effective countermeasure in concrete setups, but still there is a need for a deeper understanding of when and how this kind of PAD works in various practical conditions. Related works analyze full video sequences (usually over 60 seconds) to distinguish between attacks and legitimate accesses. However, existing approaches may not be as effective as it has been claimed in the literature in time variable scenarios. In this paper we evaluate the performance of an existent state-of-the-art PAD scheme based on rPPG when analyzing short-time video sequences extracted from a longer video. Results are reported using the 3D Mask Attack Database (3DMAD), and a self-collected dataset called Heart Rate Database (HR), including different video durations, spectrum bands, resolutions and frame rates. Several conclusions can be drawn from this work: a) PAD performance based on rPPG varies significantly with the length of the analyzed video, b) rPPG information extracted from short-time sequences (over 5 seconds) can be discriminant enough for performing the PAD task, c) in general, videos using the NIR band perform better than those using the RGB band, and d) the temporal resolution is more valuable for rPPG signal extraction than the spatial resolution.

关键词： Face Three-dimensional displays Heart rate Databases Face recognition Video sequences Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow

Online Neural Cell Tracking Using Blob-Seed Segmentation and...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Jingru Yi Pengxiang Wu Qiaoying Huang Hui Qu Daniel J. Hoeppner Dimitris N. Metaxas Department of Computer Science Rutgers University NJ USA Lieber Institute for Brain Development MD USA

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

Existing neural cell tracking methods generally use the morphology cell features for data association. However, these features are limited to the quality of cell segmentation and are prone to errors for mitosis determination. To overcome these issues, in this work we propose an online multi-object tracking method that leverages both cell appearance and motion features for data association. In particular, we propose a supervised blob-seed network (BSNet) to predict the cell appearance features and an unsupervised optical flow network (UnFlowNet) for capturing the cell motions. The data association is then solved using the Hungarian algorithm. Experimental evaluation shows that our approach achieves better performance than existing neural cell tracking methods.

关键词： computer architecture Microprocessors Optical imaging Target tracking Adaptive optics Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Learning Deep Image Priors for Blind Image Denoising

Learning Deep Image Priors for Blind Image Denoising

引用

ieee/cvf conference on computer vision and pattern recognition workshops

作者： Xianxu Hou Hongming Luo Jingxin Liu Bolei Xu Ke Sun Yuanhao Gong Bozhi Liu Guoping Qiu College of Information Engineering and Guangdong Key Lab for Intelligent Information Processing Shenzhen University School of Computer Science The University of Nottingham

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

Image denoising is the process of removing noise from noisy images, which is an image domain transferring task, i.e., from a single or several noise level domains to a photorealistic domain. In this paper, we propose an effective image denoising method by learning two image priors from the perspective of domain alignment. We tackle the domain alignment on two levels. 1) the feature-level prior is to learn domain-invariant features for corrupted images with different level noise;2) the pixel-level prior is used to push the denoised images to the natural image manifold. The two image priors are based on H-divergence theory and implemented by learning classifiers in adversarial training manners. We evaluate our approach on multiple datasets. The results demonstrate the effectiveness of our approach for robust image denoising on both synthetic and real-world noisy images. Furthermore, we show that the feature-level prior is capable of alleviating the discrepancy between different level noise. It can be used to improve the blind denoising performance in terms of distortion measures (PSNR and SSIM), while pixel-level prior can effectively improve the perceptual quality to ensure the realistic outputs, which is further validated by subjective evaluation.

关键词： image denoising Noise levels images image denoising method IMAGING MANIFOLD Image Imagery (Psychotherapy) Blind Peak signal-to-noise ratio Noise subjective evaluation Learning Domain

来源：评论

学校读者我要写书评

暂无评论

Real-time Physics-based Removal of Shadows and Shading from Road Surfaces

Real-time Physics-based Removal of Shadows and Shading from ...

引用

ieee/cvf conference on computer vision and pattern recognition workshops

作者： Bruce A. Maxwell Casey A. Smith Maan Qraitem Ross Messing Spencer Whitt Nicolas Thien Richard M. Friedhoff Tandent Computer Vision LLC

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

We present a real-time physics-based system for generating an illumination free representation of road surfaces that maintains the distinction between asphalt and painted road markings. Cast shadows on road surfaces can create false features and modify the color of road markings, potentially masking important information for vehicle vision systems. We demonstrate a novel method for identifying the relative spectral properties of the direct and ambient illumination conditions and for using that to create an illumination-free 2D chromaticity space in log RGB. We then show how that representation can be used to generate an illumination-free greyscale representation that distinguishes road, white paint, and yellow paint, making it suitable for further analysis and classification. The entire process runs faster than 30Hz on 1 mega-pixel images using current automotive-grade embedded processing systems. We evaluate the system on a paint detection task, comparing two types of learned classifiers, random forests and convolutional neural networks. For each type, one classifier is trained on the original images, and the other is trained on the illumination-free greyscale output. The classifiers are of identical complexity and trained on the same size data set. For both types, the classifier trained on the illumination-free outputs performs better, even on images with no cast shadows. The gap in performance is indicative of the cost of forcing a classifier to learn a task in the presence of the confounding illumination signal.

关键词： PAVEMENTS Classifiers shadows Road artificial shade Pavement marking dimensional data original image ambient illumination Grey scale bitumens asphalt

来源：评论

学校读者我要写书评

暂无评论

SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data

SuperTML: Two-Dimensional Word Embedding for the Precognitio...

引用

ieee/cvf conference on computer vision and pattern recognition workshops

作者： Baohua Sun Lin Yang Wenhan Zhang Michael Lin Patrick Dong Charles Young Jason Dong Gyrfalcon Technology Inc

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

Tabular data is the most commonly used form of data in industry according to a Kaggle ML and DS Survey. Gradient Boosting Trees, Support Vector Machine, Random Forest, and Logistic Regression are typically used for classification tasks on tabular data. DNN models using categorical embeddings are also applied in this task, but all attempts thus far have used one-dimensional embeddings. The recent work of Super Characters method using two-dimensional word embeddings achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach. In this paper, we propose the SuperTML method, which borrows the idea of Super Characters method and two-dimensional embeddings to address the problem of classification on tabular data. For each input of tabular data, the features are first projected into two-dimensional embeddings like an image, and then this image is fed into fine-tuned two-dimensional CNN models for classification. The proposed SuperTML method handles the categorical data and missing values in tabular data automatically, without any need to pre-process into numerical values. Comparisons of model performance are conducted on one of the largest and most active competitions on the Kaggle platform, as well as on the top three most popular data sets in the UCI Machine Learning Repository. Experimental results have shown that the proposed SuperTML method have achieved state-of-the-art results on both large and small datasets.

关键词： Precognition Clairvoyance images Imagery (Psychotherapy) Nominal or categorical data Word Text categorization Taxonomy Logistic Regression Arts embedding vector computer Dataset

来源：评论

学校读者我要写书评

暂无评论

Study on Fashion Image Retrieval Methods for Efficient Fashion Visual Search

Study on Fashion Image Retrieval Methods for Efficient Fashi...

引用

ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Sanghyuk Park Minchul Shin Sungho Ham Seungkwon Choe Yoohoon Kang Clova Vision NAVER Corporation Republic of Korea

ISBN: (数字)9781728125060

ISBN: (纸本)9781728125077

Fashion image retrieval (FIR) is a challenging task, which requires searching for exact items accurately from massive collections of fashion products based on a query image. Despite recent advances, FIR still has limitations for application to real-world visual searches. The main reason for this is not only the trade-off between the model complexity and performance, but also the common nature of fashion images captured under uncontrolled circumstances (e.g. varying viewpoints and lighting conditions). In particular, fashion images are vulnerable to shape deformations and suffer from inconsistency between the user's query images and refined product images. Moreover, multiple fashion objects can be present simultaneously within a single image. In this paper, we considered an FIR method that is optimized for the fashion domain. We investigated training strategies and deep models to improve the retrieval performance. The experimental results on three benchmarks from DeepFashion dataset show that considered methods could achieve the significant improvements compared to the previous FIR methods.

关键词： Finite impulse response filters computer vision Task analysis Training Benchmark testing pattern recognition Image retrieval

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332页 << < 322 323 324 325 326 327 328 329 330 331 > >>

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：