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检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"
1569 条 记 录,以下是151-160 订阅
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Fast Energy Minimization using Learned State Filters
Fast Energy Minimization using Learned State Filters
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Guillaumin, Matthieu Van Gool, Luc Ferrari, Vittorio Swiss Fed Inst Technol Zurich Switzerland Katholieke Univ Leuven Leuven Belgium Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland
Pairwise discrete energies defined over graphs are ubiquitous in computer vision. Many algorithms have been proposed to minimize such energies, often concentrating on sparse graph topologies or specialized classes of ... 详细信息
来源: 评论
Capturing Complex Spatio-Temporal Relations among Facial Muscles for Facial Expression recognition
Capturing Complex Spatio-Temporal Relations among Facial Mus...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wang, Ziheng Wang, Shangfei Ji, Qiang Rensselaer Polytech Inst ECSE Dept Troy NY 12181 USA Univ Sci & Technol China Sch Comp Sci & Technol Hefei Anhui Peoples R China
Spatial-temporal relations among facial muscles carry crucial information about facial expressions yet have not been thoroughly exploited. One contributing factor for this is the limited ability of the current dynamic... 详细信息
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Hollywood 3D: Recognizing Actions in 3D Natural Scenes
Hollywood 3D: Recognizing Actions in 3D Natural Scenes
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Hadfield, Simon Bowden, Richard Univ Surrey Ctr Vis Speech & Signal Proc Guildford GU2 7XH Surrey England
Action recognition in unconstrained situations is a difficult task, suffering from massive intra-class variations. It is made even more challenging when complex 3D actions are projected down to the image plane, losing... 详细信息
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Category Modeling from just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models
Category Modeling from just a Single Labeling: Use Depth Inf...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Quanshi Song, Xuan Shao, Xiaowei Shibasaki, Ryosuke Zhao, Huijing Univ Tokyo Ctr Spatial Informat Sci Tokyo 1138654 Japan Peking Univ Key Lab Machine Percept Beijing Peoples R China
An object model base that covers a large number of object categories is of great value for many computer vision tasks. As artifacts are usually designed to have various textures, their structure is the primary disting... 详细信息
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A Fully Automatic Method to Extract the Heart Rate from thermal Video
A Fully Automatic Method to Extract the Heart Rate from Ther...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Gault, Travis R. Farag, Aly A. Univ Louisville Louisville KY 40292 USA
this work deals with non-invasive and non-intrusive measurements of the human facial vasculature from thermal IR to measure cardiovascular vital signs. A robust, fully automatic measurement system is developed to stud... 详细信息
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Visual Place recognition with Repetitive Structures
Visual Place Recognition with Repetitive Structures
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Torii, Akihiko Sivic, Josef Pajdla, Tomas Okutomi, Masatoshi Tokyo Tech Tokyo Inst Technol Grad Sch Sci & Engn Dept Mech & Control Engn Tokyo Japan WILLOW Inria Dept Informat Ecole Normale Super ENS INRIA CNRS UMR 8548 Paris France Czech Tech Univ Fac Elect Engn Ctr Machine Percept Dept Cybernet Prague Czech Republic
Repeated structures such as building facades, fences or road markings often represent a significant challenge for place recognition. Repeated structures are notoriously hard for establishing correspondences using mult... 详细信息
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Learning and calibrating per-location classifiers for visual place recognition
Learning and calibrating per-location classifiers for visual...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Gronat, Petr Obozinski, Guillaume Sivic, Josef Pajdla, Tomas INRIA France Czech Technical University in Prague Czech Republic Center for Machine Perception Faculty of Electrical Engineering France WILLOW Project Laboratoire d'Informatique de l' Ecole Normale Superieure ENS/INRIA/CNRS UMR 8548. France Universit Paris-Est LIGM (UMR CNRS 8049) Center for Visual Computing 77455 Marne-la-Valle France
the aim of this work is to localize a query photograph by finding other images depicting the same place in a large geotagged image database. this is a challenging task due to changes in viewpoint, imaging conditions a... 详细信息
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Modeling Mutual Visibility Relationship in Pedestrian Detection
Modeling Mutual Visibility Relationship in Pedestrian Detect...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Ouyang, Wanli Zeng, Xingyu Wang, Xiaogang Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Comp Vis & Pat Rec Beijing Peoples R China Chinese Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China
Detecting pedestrians in cluttered scenes is a challenging problem in computer vision. the difficulty is added when several pedestrians overlap in images and occlude each other. We observe, however, that the occlusion... 详细信息
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Multi-Task Sparse Learning with Beta Process Prior for Action recognition
Multi-Task Sparse Learning with Beta Process Prior for Actio...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Yuan, Chunfeng Hu, Weiming Tian, Guodong Yang, Shuang Wang, Haoran CASIA Natl Lab Pattern Recognit Beijing Peoples R China Southeast Univ Sch Automat Beijing Peoples R China
In this paper we formulate human action recognition as a novel Multi-Task Sparse Learning(MTSL) framework which aims to construct a test sample with multiple features from as few bases as possible. Learning the sparse... 详细信息
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Face recognition in Movie Trailers via Mean Sequence Sparse Representation-based Classification
Face Recognition in Movie Trailers via Mean Sequence Sparse ...
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26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Ortiz, Enrique G. Wright, Alan Shah, Mubarak Univ Cent Florida Ctr Comp Vis Res Orlando FL 32816 USA
this paper presents an end-to-end video face recognition system, addressing the difficult problem of identifying a video face track using a large dictionary of still face images of a few hundred people, while rejectin... 详细信息
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