咨询与建议

限定检索结果

文献类型

  • 220 篇 会议
  • 5 篇 期刊文献
  • 2 册 图书

馆藏范围

  • 227 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 217 篇 工学
    • 203 篇 计算机科学与技术...
    • 25 篇 电气工程
    • 20 篇 机械工程
    • 4 篇 信息与通信工程
    • 4 篇 控制科学与工程
    • 4 篇 软件工程
    • 1 篇 光学工程
    • 1 篇 冶金工程
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 生物医学工程(可授...
    • 1 篇 生物工程
  • 7 篇 理学
    • 2 篇 数学
    • 2 篇 物理学
    • 1 篇 大气科学
    • 1 篇 海洋科学
    • 1 篇 生物学
    • 1 篇 系统科学
    • 1 篇 统计学(可授理学、...
  • 3 篇 医学
    • 3 篇 临床医学
  • 2 篇 管理学
    • 2 篇 管理科学与工程(可...

主题

  • 44 篇 computer vision
  • 24 篇 pattern recognit...
  • 23 篇 object recogniti...
  • 20 篇 images
  • 15 篇 face recognition
  • 11 篇 object detection
  • 9 篇 action recogniti...
  • 9 篇 training
  • 8 篇 image segmentati...
  • 8 篇 feature extracti...
  • 7 篇 image classifica...
  • 6 篇 cameras
  • 6 篇 gesture recognit...
  • 6 篇 dataset
  • 6 篇 machine learning
  • 6 篇 recognition
  • 5 篇 deep learning
  • 5 篇 visualization
  • 5 篇 image recognitio...
  • 5 篇 shape

机构

  • 6 篇 chinese acad sci...
  • 4 篇 chinese univ hon...
  • 4 篇 mpi intelligent ...
  • 4 篇 carnegie mellon ...
  • 4 篇 univ washington ...
  • 3 篇 univ oxford oxfo...
  • 3 篇 hong kong univ s...
  • 3 篇 mit cambridge ma...
  • 3 篇 univ calif berke...
  • 2 篇 inria
  • 2 篇 stevens inst tec...
  • 2 篇 univ calif river...
  • 2 篇 univ toronto on
  • 2 篇 rensselaer polyt...
  • 2 篇 georgia inst tec...
  • 2 篇 swiss fed inst t...
  • 2 篇 chinese acad sci...
  • 2 篇 chinese acad sci...
  • 2 篇 natl univ singap...
  • 2 篇 swiss fed inst t...

作者

  • 4 篇 hu weiming
  • 3 篇 yuan chunfeng
  • 3 篇 li stan z.
  • 3 篇 lu cewu
  • 3 篇 wen longyin
  • 3 篇 jia jiaya
  • 3 篇 murala subrahman...
  • 3 篇 ji qiang
  • 3 篇 salzmann mathieu
  • 3 篇 shao ling
  • 3 篇 vedaldi andrea
  • 3 篇 yan shuicheng
  • 3 篇 vipparthi santos...
  • 3 篇 brandt jonathan
  • 3 篇 hua gang
  • 2 篇 kannala juho
  • 2 篇 cucchiara rita
  • 2 篇 ling haibin
  • 2 篇 wang limin
  • 2 篇 maji subhransu

语言

  • 227 篇 英文
检索条件"任意字段=27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014"
227 条 记 录,以下是31-40 订阅
排序:
Single Image Layer Separation using Relative Smoothness  27
Single Image Layer Separation using Relative Smoothness
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Li, Yu Brown, Michael S. Natl Univ Singapore Sch Comp Singapore 117548 Singapore
this paper addresses extracting two layers from an image where one layer is smoother than the other. this problem arises most notably in intrinsic image decomposition and reflection interference removal. Layer decompo... 详细信息
来源: 评论
Efficient Computation of Relative Pose for Multi-Camera Systems  27
Efficient Computation of Relative Pose for Multi-Camera Syst...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Kneip, Laurent Li, Hongdong Australian Natl Univ Res Sch Engn Canberra ACT 0200 Australia
We present a novel solution to compute the relative pose of a generalized camera. Existing solutions are either not general, have too high computational complexity, or require too many correspondences, which impedes a... 详细信息
来源: 评论
Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform  27
Pyramid-based Visual Tracking Using Sparsity Represented Mea...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Zhe Wong, Kin Hong Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China
In this paper, we propose a robust method for visual tracking relying on mean shift, sparse coding and spatial pyramids. Firstly, we extend the original mean shift approach to handle orientation space and scale space ... 详细信息
来源: 评论
Surface-from-Gradients: An Approach Based on Discrete Geometry Processing  27
Surface-from-Gradients: An Approach Based on Discrete Geomet...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Xie, Wuyuan Zhang, Yunbo Wang, Charlie C. L. Chung, Ronald C. -K. Chinese Univ Hong Kong Dept Mech & Automat Engn Hong Kong Hong Kong Peoples R China
In this paper, we propose an efficient method to reconstruct surface-from-gradients (SfG). Our method is formulated under the framework of discrete geometry processing. Unlike the existing SfG approaches, we transfer ... 详细信息
来源: 评论
Nonparametric Context Modeling of Local Appearance for Pose- and Expression-Robust Facial Landmark Localization  27
Nonparametric Context Modeling of Local Appearance for Pose-...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Smith, Brandon M. Brandt, Jonathan Lin, Zhe Zhang, Li Univ Wisconsin Madison Madison WI 53706 USA Adobe Res Seattle WA USA
We propose a data-driven approach to facial landmark localization that models the correlations between each landmark and its surrounding appearance features. At runtime, each feature casts a weighted vote to predict l... 详细信息
来源: 评论
3D Reconstruction from Accidental Motion  27
3D Reconstruction from Accidental Motion
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Yu, Fisher Gallup, David Princeton Univ Princeton NJ 08544 USA Google Inc Mountain View CA USA
We have discovered that 3D reconstruction can be achieved from a single still photographic capture due to accidental motions of the photographer, even while attempting to hold the camera still. Although these motions ... 详细信息
来源: 评论
Head Pose Estimation Based on Multivariate Label Distribution  27
Head Pose Estimation Based on Multivariate Label Distributio...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Geng, Xin Xia, Yu Southeast Univ Sch Comp Sci & Engn Nanjing Jiangsu Peoples R China
Accurate ground truth pose is essential to the training of most existing head pose estimation algorithms. However, in many cases, the "ground truth" pose is obtained in rather subjective ways, such as asking... 详细信息
来源: 评论
Efficient Nonlinear Markov Models for Human Motion  27
Efficient Nonlinear Markov Models for Human Motion
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Lehrmann, Andreas M. Gehler, Peter V. Nowozin, Sebastian MPI Intelligent Syst Tubingen Germany Microsoft Res Cambridge England
Dynamic Bayesian networks such as Hidden Markov Models (HMMs) are successfully used as probabilistic models for human motion. the use of hidden variables makes them expressive models, but inference is only approximate... 详细信息
来源: 评论
Speeding Up Tracking by Ignoring Features  27
Speeding Up Tracking by Ignoring Features
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Lu Dibeklioglu, Hamdi van der Maaten, Laurens Delft Univ Technol Pattern Recognit & Bioinformat Grp NL-2628 CD Delft Netherlands
Most modern object trackers combine a motion prior with sliding-window detection, using binary classifiers that predict the presence of the target object based on histogram features. Although the accuracy of such trac...
来源: 评论
Fast Target recognition on Mobile Devices: Revisiting Gaussian Elimination for the the Estimation of Planar Homographies
Fast Target Recognition on Mobile Devices: Revisiting Gaussi...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Bilaniuk, Olexa Bazargani, Hamid Laganiere, Robert Univ Ottawa Sch EECS Ottawa ON K1N 6N5 Canada
this work analyzes the problem of homography estimation for robust target matching in the context of real-time mobile vision. We present a device-friendly implementation of the Gaussian Elimination algorithm and show ... 详细信息
来源: 评论