咨询与建议

限定检索结果

文献类型

  • 85 篇 会议
  • 5 篇 期刊文献

馆藏范围

  • 90 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 86 篇 工学
    • 81 篇 计算机科学与技术...
    • 30 篇 电气工程
    • 19 篇 机械工程
    • 2 篇 信息与通信工程
    • 2 篇 控制科学与工程
    • 1 篇 电子科学与技术(可...
    • 1 篇 软件工程
  • 3 篇 医学
    • 3 篇 临床医学
  • 1 篇 理学
    • 1 篇 数学
    • 1 篇 统计学(可授理学、...

主题

  • 17 篇 computer vision
  • 15 篇 face recognition
  • 6 篇 pattern recognit...
  • 5 篇 computer archite...
  • 5 篇 feature extracti...
  • 5 篇 detectors
  • 5 篇 training
  • 3 篇 object detection
  • 3 篇 videotapes
  • 3 篇 visualization
  • 3 篇 object recogniti...
  • 3 篇 recurrent neural...
  • 3 篇 images
  • 2 篇 conferences
  • 2 篇 recognition (psy...
  • 2 篇 pyramid
  • 2 篇 deep neural netw...
  • 2 篇 iterative method...
  • 2 篇 trajectories
  • 2 篇 convolution

机构

  • 4 篇 univ chinese aca...
  • 3 篇 chinese acad sci...
  • 2 篇 chinese acad sci...
  • 2 篇 bogazici univ de...
  • 2 篇 univ maryland co...
  • 2 篇 univ paris sacla...
  • 2 篇 noblis reston va...
  • 2 篇 univ calif san d...
  • 2 篇 michigan state u...
  • 1 篇 cornell tech ny ...
  • 1 篇 ecse department ...
  • 1 篇 asilla
  • 1 篇 univ calif river...
  • 1 篇 tsinghua univ sc...
  • 1 篇 univ politecn ca...
  • 1 篇 state res inst a...
  • 1 篇 natl inst adv in...
  • 1 篇 inaoe puebla
  • 1 篇 univ elect sci &...
  • 1 篇 tsinghua univ tn...

作者

  • 3 篇 li stan z.
  • 2 篇 escalera sergio
  • 2 篇 guyon isabelle
  • 2 篇 miller tim
  • 2 篇 wang liang
  • 2 篇 huang yan
  • 2 篇 trivedi mohan m.
  • 2 篇 wang wei
  • 2 篇 kalka nathan d.
  • 2 篇 ji qiang
  • 2 篇 jain anil k.
  • 2 篇 wu yue
  • 2 篇 salah albert ali
  • 2 篇 lei zhen
  • 2 篇 boult terrance e...
  • 2 篇 mahoor mohammad ...
  • 2 篇 allen kristen c.
  • 1 篇 zhou xi
  • 1 篇 thielke matthew
  • 1 篇 yao-hung hubert ...

语言

  • 89 篇 英文
  • 1 篇 日文
检索条件"任意字段=29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
90 条 记 录,以下是31-40 订阅
排序:
Person-independent 3D Gaze Estimation using Face Frontalization  29
Person-independent 3D Gaze Estimation using Face Frontalizat...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Jeni, Laszlo A. Cohn, Jeffrey F. Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Pittsburgh Pittsburgh PA USA
Person-independent and pose-invariant estimation of eye-gaze is important for situation analysis and for automated video annotation. We propose a fast cascade regression based method that first estimates the location ... 详细信息
来源: 评论
Pooling Faces: Template based Face recognition with Pooled Face Images  29
Pooling Faces: Template based Face Recognition with Pooled F...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Hassner, Tal Masi, Iacopo Kim, Jungyeon Choi, Jongmoo Harel, Shai Natarajan, Prem Medioni, Gerard USC Inst Informat Sci Los Angeles CA 90007 USA Open Univ Israel Raanana Israel USC Inst Robot & Intelligent Syst Los Angeles CA USA
We propose a novel approach to template based face recognition. Our dual goal is to both increase recognition accuracy and reduce the computational and storage costs of template matching. To do this, we leverage on an... 详细信息
来源: 评论
ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016  29
ChaLearn Looking at People and Faces of the World: Face Anal...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Escalera, Sergio Tones, Mercedes Torres Martinez, Brais Baro, Xavier Jair Escalante, Hugo Guyon, Isabelle Tzimiropoulos, Georgios Corneanu, Ciprian Oliu, Marc Bagheri, Mohammad Ali Valstar, Michel Univ Barcelona Barcelona Spain Univ Nottingham Nottingham England Univ Oberta Catalunya Barcelona Spain INAOE Puebla Mexico Univ Paris Saclay Paris France Dalhousie Univ Halifax NS Canada Univ Larestan Larestan Iran
We present the 2016 ChaLearn Looking at People and Faces of the World Challenge and Workshop, which ran three competitions on the common theme of face analysis from still images. the first one, Looking at People, addr...
来源: 评论
Texture Complexity based Redundant Regions Ranking for Object Proposal  29
Texture Complexity based Redundant Regions Ranking for Objec...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Ke, Wei Zhang, Tianliang Chen, Jie Wan, Fang Ye, Qixiang Han, Zhenjun Univ Chinese Acad Sci Beijing Peoples R China Univ Oulu CMV SF-90100 Oulu Finland
Object proposal has been successfully applied in recent visual object detection approaches and shown improved computational efficiency. the purpose of object proposal is to use as few as regions to cover as many as ob... 详细信息
来源: 评论
Simultaneous Semi-Coupled Dictionary Learning for Matching RGBD data  29
Simultaneous Semi-Coupled Dictionary Learning for Matching R...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Das, Nilotpal Mandal, Devraj Biswas, Soma Indian Inst Sci Bangalore Karnataka India
Matching with hidden information which is available only during training and not during testing has recently become an important research problem. Matching data from two different modalities, known as cross-modal matc... 详细信息
来源: 评论
Gaussian Conditional Random Fields for Face recognition  29
Gaussian Conditional Random Fields for Face Recognition
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Smereka, Jonathon M. Kumar, B. V. K. Vijaya Rodriguez, Andres Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA 15213 USA Intel Corp Hillsboro OR 97124 USA
We propose a Gaussian Conditional Random Field (GCRF) approach to modeling the non-stationary distortions that are introduced from changing facial expressions during acquisition. While previous work employed a Gaussia... 详细信息
来源: 评论
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture recognition  29
ChaLearn Looking at People RGB-D Isolated and Continuous Dat...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Wan, Jun Li, Stan Z. Zhao, Yibing Zhou, Shuai Guyon, Isabelle Escalera, Sergio Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100864 Peoples R China Macau Univ Sci & Technol Macau Peoples R China UPSud Orsay France Univ Paris Saclay Paris France ChaLearn Barcelona Spain Univ Barcelona Comp Vis Ctr E-08007 Barcelona Spain
In this paper, we present two large video multi-modal datasets for RGB and RGB-D gesture recognition: the ChaLearn LAP RGB-D Isolated Gesture Dataset (IsoGD) and the Continuous Gesture Dataset (ConGD). Both datasets a... 详细信息
来源: 评论
Learning Discriminative Features with Class Encoder  29
Learning Discriminative Features with Class Encoder
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Shi, Hailin Zhu, Xiangyu Lei, Zhen Liao, Shengcai Li, Stan Z. Univ Chinese Acad Sci Chinese Acad Sci Ctr Biometr & Secur Res Beijing Peoples R China Univ Chinese Acad Sci Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China
Deep neural networks usually benefit from unsupervised pre-training, e.g. auto-encoders. However, the classifier further needs supervised fine-tuning methods for good discrimination. Besides, due to the limits of full... 详细信息
来源: 评论
Facial Expression recognition from World Wild Web  29
Facial Expression Recognition from World <i>Wild</i> Web
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Mollahosseini, Ali Hassani, Behzad Salvador, Michelle J. Abdollahi, Hojjat Chan, David Mahoor, Mohammad H. Univ Denver Dept Elect & Comp Engn Denver CO 80208 USA Univ Denver Dept Comp Sci Denver CO USA
Recognizing facial expression in a wild setting has remained a challenging task in computer vision. the World Wide Web is a good source of facial images which most of them are captured in uncontrolled conditions. In f... 详细信息
来源: 评论
Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models  29
Apparent Age Estimation from Face Images Combining General a...
收藏 引用
29th ieee conference on computer vision and pattern recognition (cvpr)
作者: Antipov, Grigory Baccouche, Moez Berrani, Sid-Ahmed Dugelay, Jean-Luc France Telecom Orange Labs 4 Rue Clos Courtel F-35512 Cesson Sevigne France Eurecom 450 Route Chappes F-06410 Biot France
this work describes our solution in the second edition of the ChaLearn LAP competition on Apparent Age Estimation. Starting from a pretrained version of the VGG-16 convolutional neural network for face recognition, we... 详细信息
来源: 评论