2013 IEEE Conference on Computer Vision and Pattern Recognition最新文献_第9页

Optimized Product Quantization for Approximate Nearest Neighbor Search 近似最近邻搜索的优化产品量化

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.379

T. Ge, Kaiming He, Qifa Ke, Jian Sun

引用次数: 367

Decoding Children's Social Behavior 解读儿童的社会行为

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.438

James M. Rehg, G. Abowd, A. Rozga, M. Romero, M. Clements, S. Sclaroff, Irfan Essa, O. Ousley, Yin Li, Chanho Kim, H. Rao, Jonathan C. Kim, Liliana Lo Presti, Jianming Zhang, Denis Lantsman, Jonathan Bidwell, Zhefan Ye

引用次数: 168

Human Pose Estimation Using Body Parts Dependent Joint Regressors 基于关节回归量的人体姿态估计

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.391

Matthias Dantone, Juergen Gall, C. Leistner, L. Gool

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引用次数: 272

Keypoints from symmetries by wave propagation 从波的传播对称的关键点

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.373

Samuele Salti, A. Lanza, L. D. Stefano

引用次数: 34

Fast Object Detection with Entropy-Driven Evaluation 基于熵驱动评价的快速目标检测

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.420

R. Sznitman, C. Becker, F. Fleuret, P. Fua

引用次数: 33

Locally Aligned Feature Transforms across Views 局部对齐特征跨视图转换

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.461

Wei Li, Xiaogang Wang

引用次数: 551

Exploring Weak Stabilization for Motion Feature Extraction 运动特征提取的弱稳定性研究

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.371

Dennis Park, C. L. Zitnick, Deva Ramanan, Piotr Dollár

引用次数: 139

Improving an Object Detector and Extracting Regions Using Superpixels 利用超像素改进目标检测器和提取区域

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.477

Guang Shu, Afshin Dehghan, M. Shah

{"title":"Improving an Object Detector and Extracting Regions Using Superpixels","authors":"Guang Shu, Afshin Dehghan, M. Shah","doi":"10.1109/CVPR.2013.477","DOIUrl":"https://doi.org/10.1109/CVPR.2013.477","url":null,"abstract":"We propose an approach to improve the detection performance of a generic detector when it is applied to a particular video. The performance of offline-trained objects detectors are usually degraded in unconstrained video environments due to variant illuminations, backgrounds and camera viewpoints. Moreover, most object detectors are trained using Haar-like features or gradient features but ignore video specific features like consistent color patterns. In our approach, we apply a Super pixel-based Bag-of-Words (BoW) model to iteratively refine the output of a generic detector. Compared to other related work, our method builds a video-specific detector using super pixels, hence it can handle the problem of appearance variation. Most importantly, using Conditional Random Field (CRF) along with our super pixel-based BoW model, we develop and algorithm to segment the object from the background. Therefore our method generates an output of the exact object regions instead of the bounding boxes generated by most detectors. In general, our method takes detection bounding boxes of a generic detector as input and generates the detection output with higher average precision and precise object regions. The experiments on four recent datasets demonstrate the effectiveness of our approach and significantly improves the state-of-art detector by 5-16% in average precision.","PeriodicalId":6343,"journal":{"name":"2013 IEEE Conference on Computer Vision and Pattern Recognition","volume":"45 1","pages":"3721-3727"},"PeriodicalIF":0.0,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77590435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 87

Understanding Indoor Scenes Using 3D Geometric Phrases 使用3D几何短语理解室内场景

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.12

Wongun Choi, Yu-Wei Chao, C. Pantofaru, S. Savarese

引用次数: 183

SWIGS: A Swift Guided Sampling Method SWIGS:一种快速引导抽样方法

2013 IEEE Conference on Computer Vision and Pattern Recognition Pub Date : 2013-06-23 DOI: 10.1109/CVPR.2013.357

Victor Fragoso, M. Turk

引用次数: 21