咨询与建议

限定检索结果

文献类型

  • 20,860 篇 会议
  • 105 篇 期刊文献
  • 43 册 图书

馆藏范围

  • 21,007 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 13,620 篇 工学
    • 11,056 篇 计算机科学与技术...
    • 2,652 篇 机械工程
    • 2,252 篇 软件工程
    • 914 篇 光学工程
    • 885 篇 电气工程
    • 529 篇 控制科学与工程
    • 477 篇 信息与通信工程
    • 216 篇 测绘科学与技术
    • 135 篇 生物工程
    • 127 篇 生物医学工程(可授...
    • 98 篇 电子科学与技术(可...
    • 92 篇 仪器科学与技术
    • 46 篇 安全科学与工程
    • 40 篇 建筑学
    • 40 篇 化学工程与技术
    • 39 篇 土木工程
    • 37 篇 交通运输工程
    • 35 篇 力学(可授工学、理...
    • 33 篇 航空宇航科学与技...
  • 3,494 篇 医学
    • 3,489 篇 临床医学
    • 32 篇 基础医学(可授医学...
  • 2,247 篇 理学
    • 1,145 篇 物理学
    • 1,081 篇 数学
    • 401 篇 生物学
    • 384 篇 统计学(可授理学、...
    • 245 篇 系统科学
    • 46 篇 化学
  • 343 篇 管理学
    • 176 篇 管理科学与工程(可...
    • 168 篇 图书情报与档案管...
    • 34 篇 工商管理
  • 31 篇 法学
  • 19 篇 农学
  • 15 篇 教育学
  • 8 篇 经济学
  • 5 篇 艺术学
  • 2 篇 军事学
  • 1 篇 文学

主题

  • 8,141 篇 computer vision
  • 2,886 篇 training
  • 2,841 篇 pattern recognit...
  • 1,809 篇 computational mo...
  • 1,715 篇 visualization
  • 1,493 篇 cameras
  • 1,433 篇 three-dimensiona...
  • 1,433 篇 feature extracti...
  • 1,366 篇 shape
  • 1,360 篇 face recognition
  • 1,243 篇 image segmentati...
  • 1,135 篇 robustness
  • 1,124 篇 semantics
  • 992 篇 computer archite...
  • 985 篇 object detection
  • 982 篇 layout
  • 959 篇 benchmark testin...
  • 935 篇 codes
  • 900 篇 computer science
  • 898 篇 object recogniti...

机构

  • 174 篇 univ sci & techn...
  • 158 篇 univ chinese aca...
  • 153 篇 carnegie mellon ...
  • 145 篇 chinese univ hon...
  • 109 篇 microsoft resear...
  • 103 篇 zhejiang univ pe...
  • 99 篇 swiss fed inst t...
  • 95 篇 tsinghua univers...
  • 90 篇 microsoft res as...
  • 90 篇 tsinghua univ pe...
  • 88 篇 shanghai ai lab ...
  • 81 篇 zhejiang univers...
  • 77 篇 alibaba grp peop...
  • 74 篇 hong kong univ s...
  • 73 篇 university of sc...
  • 72 篇 peking univ peop...
  • 72 篇 university of ch...
  • 68 篇 shanghai jiao to...
  • 66 篇 univ oxford oxfo...
  • 65 篇 google res mount...

作者

  • 80 篇 van gool luc
  • 70 篇 zhang lei
  • 58 篇 timofte radu
  • 48 篇 yang yi
  • 47 篇 luc van gool
  • 46 篇 xiaoou tang
  • 44 篇 tian qi
  • 43 篇 darrell trevor
  • 42 篇 loy chen change
  • 42 篇 sun jian
  • 41 篇 qi tian
  • 40 篇 li stan z.
  • 38 篇 li fei-fei
  • 37 篇 chen xilin
  • 36 篇 shan shiguang
  • 35 篇 zhou jie
  • 35 篇 vasconcelos nuno
  • 35 篇 liu yang
  • 35 篇 torralba antonio
  • 34 篇 liu xiaoming

语言

  • 20,982 篇 英文
  • 10 篇 中文
  • 7 篇 其他
  • 5 篇 土耳其文
  • 2 篇 日文
  • 2 篇 葡萄牙文
检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21008 条 记 录,以下是321-330 订阅
排序:
Multi-View Feature Engineering and Learning
Multi-View Feature Engineering and Learning
收藏 引用
ieee conference on computer vision and pattern recognition (cvpr)
作者: Dong, Jingming Karianakis, Nikolaos Davis, Damek Hernandez, Joshua Balzer, Jonathan Soatto, Stefano Univ Calif Los Angeles Vis Lab Los Angeles CA 90095 USA
We frame the problem of local representation of imaging data as the computation of minimal sufficient statistics that are invariant to nuisance variability induced by viewpoint and illumination. We show that, under ve... 详细信息
来源: 评论
Hierarchical Feature Hashing for Fast Dimensionality Reduction  27
Hierarchical Feature Hashing for Fast Dimensionality Reducti...
收藏 引用
27th ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhao, Bin Xing, Eric P. Carnegie Mellon Univ Sch Comp Sci Pittsburgh PA 15213 USA
Curse of dimensionality is a practical and challenging problem in image categorization, especially in cases with a large number of classes. Multi-class classification encounters severe computational and storage proble... 详细信息
来源: 评论
Motion Estimation with Non-Local Total Variation Regularization
Motion Estimation with Non-Local Total Variation Regularizat...
收藏 引用
23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Werlberger, Manuel Pock, Thomas Bischof, Horst Institute for Computer Graphics and Vision Austria
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorpora... 详细信息
来源: 评论
Fast Global Optimization of Curvature
Fast Global Optimization of Curvature
收藏 引用
23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: El-Zehiry, Noha Youssry Grady, Leo Siemens Corp Res Princeton NJ 08540 USA
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpainting and optical flow seek solutions t... 详细信息
来源: 评论
Improving Unsupervised Image Clustering With Robust Learning
Improving Unsupervised Image Clustering With Robust Learning
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Park, Sungwon Han, Sungwon Kim, Sundong Kim, Danu Park, Sungkyu Hong, Seunghoon Cha, Meeyoung Korea Adv Inst Sci & Technol Sch Comp Daejeon South Korea Inst for Basic Sci Korea Data Sci Grp Daejeon South Korea
Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results. To overcome these challenges, the current res... 详细信息
来源: 评论
Calibration of a foveated wide-angle lens on an active vision head
Calibration of a foveated wide-angle lens on an active visio...
收藏 引用
1966 ieee computer Society conference on computer vision and pattern recognition
作者: Berthouze, L Rougeaux, S Chavand, F Kuniyoshi, Y ELECTROTECH LAB AUTONOMOUS SYST SECTTSUKUBAIBARAKI 305JAPAN
Inspired by the properties of the human visual system, a new active vision system called ESCHeR (Etl Stereo Compact Head For Robot vision) has been recently implemented with foveated wide-angle lenses. The lenses exhi... 详细信息
来源: 评论
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained recognition  29
SPDA-CNN: Unifying Semantic Part Detection and Abstraction f...
收藏 引用
2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Han Xu, Tao Elhoseiny, Mohamed Huang, Xiaolei Zhang, Shaoting Elgammal, Ahmed Metaxas, Dimitris Rutgers State Univ Dept Comp Sci Piscataway NJ 08854 USA Lehigh Univ Dept Comp Sci & Engn Bethlehem PA USA Univ North Carolina Dept Comp Sci Charlotte NC USA
Most convolutional neural networks (CNNs) lack midlevel layers that model semantic parts of objects. This limits CNN-based methods from reaching their full potential in detecting and utilizing small semantic parts in ... 详细信息
来源: 评论
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbat...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zheng, Yaowei Zhang, Richong Mao, Yongyi Beihang Univ BDBC Beijing Peoples R China Beihang Univ SKLSDE Beijing Peoples R China Univ Ottawa Sch EECS Ottawa ON Canada
Effective regularization techniques are highly desired in deep learning for alleviating overfitting and improving generalization. This work proposes a new regularization scheme, based on the understanding that the fla... 详细信息
来源: 评论
Modeling clutter and context for target detection in infrared images
Modeling clutter and context for target detection in infrare...
收藏 引用
1966 ieee computer Society conference on computer vision and pattern recognition
作者: Rong, S Bhanu, B UNIV CALIF RIVERSIDE COLL ENGNRIVERSIDECA 92521
In order to reduce false alarms and to improve the target detection performance of an automatic target detection and recognition system operating in a cluttered environment, it is important to develop the models not o... 详细信息
来源: 评论
Residential floor plan recognition and reconstruction
Residential floor plan recognition and reconstruction
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lv, Xiaolei Zhao, Shengchu Yu, Xinyang Zhao, Binqiang Alibaba Grp Hangzhou Peoples R China
recognition and reconstruction of residential floor plan drawings are important and challenging in design, decoration, and architectural remodeling fields. An automatic framework is provided that accurately recognizes... 详细信息
来源: 评论