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检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21007 条 记 录,以下是151-160 订阅
排序:
Large-Scale Location recognition and the Geometric Burstiness Problem  29
Large-Scale Location Recognition and the Geometric Burstines...
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Sattler, Torsten Havlena, Michal Schindler, Konrad Pollefeys, Marc ETH Dept Comp Sci Zurich Switzerland ETH Comp Vis Lab Zurich Switzerland ETH Inst Geodesy & Photogrammetry Zurich Switzerland
Visual location recognition is the task of determining the place depicted in a query image from a given database of geo-tagged images. Location recognition is often cast as an image retrieval problem and recent resear... 详细信息
来源: 评论
Discriminative Multi-modal Feature Fusion for RGBD Indoor Scene recognition  29
Discriminative Multi-modal Feature Fusion for RGBD Indoor Sc...
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhu, Hongyuan Weibel, Jean-Baptiste Lu, Shijian ASTAR I2R Singapore Singapore Georgia Tech Atlanta GA USA
RGBD scene recognition has attracted increasingly attention due to the rapid development of depth sensors and their wide application scenarios. While many research has been conducted, most work used hand-crafted featu... 详细信息
来源: 评论
Going Deeper into First-Person Activity recognition  29
Going Deeper into First-Person Activity Recognition
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Ma, Minghuang Fan, Haoqi Kitani, Kris M. Carnegie Mellon Univ Pittsburgh PA 15213 USA
We bring together ideas from recent work on feature design for egocentric action recognition under one framework by exploring the use of deep convolutional neural networks (CNN). Recent work has shown that features su... 详细信息
来源: 评论
3D Action recognition from Novel Viewpoints  29
3D Action Recognition from Novel Viewpoints
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Rahmani, Hossein Mian, Ajmal Univ Western Australia Sch Comp Sci & Software Engn Nedlands WA Australia
We propose a human pose representation model that transfers human poses acquired from different unknown views to a view-invariant high-level space. The model is a deep convolutional neural network and requires a large... 详细信息
来源: 评论
Deep Residual Learning for Image recognition  29
Deep Residual Learning for Image Recognition
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: He, Kaiming Zhang, Xiangyu Ren, Shaoqing Sun, Jian Microsoft Res Beijing Peoples R China
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the lay... 详细信息
来源: 评论
CP-mtML: Coupled Projection multi-task Metric Learning for Large Scale Face Retrieval  29
CP-mtML: Coupled Projection multi-task Metric Learning for L...
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Bhattarai, Binod Sharma, Gaurav Jurie, Frederic Univ Caen Caen France MPI Informat Saarbrucken Germany IIT Kanpur Kanpur Uttar Pradesh India
We propose a novel Coupled Projection multi-task Metric Learning (CP-mtML) method for large scale face retrieval. In contrast to previous works which were limited to low dimensional features and small datasets, the pr... 详细信息
来源: 评论
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs  29
Temporal Action Localization in Untrimmed Videos via Multi-s...
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Shou, Zheng Wang, Dongang Chang, Shih-Fu Columbia Univ New York NY 10027 USA
We address temporal action localization in untrimmed long videos. This is important because videos in real applications are usually unconstrained and contain multiple action instances plus video content of background ... 详细信息
来源: 评论
Occlusion Boundary Detection via Deep Exploration of Context  29
Occlusion Boundary Detection via Deep Exploration of Context
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Fu, Huan Wang, Chaohui Tao, Dacheng Black, Michael J. Univ Technol Sydney QCIS Sydney NSW Australia Univ Technol Sydney FEIT Sydney NSW Australia Univ Paris Est CNRS UMR 8049 LIGM Champs Sur Marne France Max Planck Inst Intelligent Syst Tubingen Germany
Occlusion boundaries contain rich perceptual information about the underlying scene structure. They also provide important cues in many visual perception tasks such as scene understanding, object recognition, and segm... 详细信息
来源: 评论
Modelling of single mode distributions of colour data using directional statistics
Modelling of single mode distributions of colour data using ...
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Alexander, DC Buxton, BF Univ Coll London London United Kingdom
Three different statistical models of colour data for use in segmentation or tracking algorithms are proposed. Results of a performance comparison of a tracking algorithm, applied to two separate applications, using e... 详细信息
来源: 评论
Predicate Logic based Image Grammars for Complex pattern recognition
Predicate Logic based Image Grammars for Complex Pattern Rec...
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ieee-computer-Society conference on computer vision and pattern recognition Workshops
作者: Shet, Vinay Singh, Maneesh Bahlmann, Claus Ramesh, Visvanathan Siemens Corp Res Princeton NJ USA
来源: 评论