咨询与建议

限定检索结果

文献类型

  • 23,134 篇 会议
  • 91 篇 期刊文献
  • 15 册 图书

馆藏范围

  • 23,239 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 13,630 篇 工学
    • 11,162 篇 计算机科学与技术...
    • 3,337 篇 软件工程
    • 2,414 篇 机械工程
    • 1,662 篇 光学工程
    • 1,204 篇 电气工程
    • 972 篇 控制科学与工程
    • 738 篇 信息与通信工程
    • 381 篇 仪器科学与技术
    • 322 篇 生物工程
    • 239 篇 生物医学工程(可授...
    • 188 篇 电子科学与技术(可...
    • 109 篇 化学工程与技术
    • 104 篇 安全科学与工程
    • 99 篇 测绘科学与技术
    • 85 篇 建筑学
    • 82 篇 土木工程
    • 82 篇 交通运输工程
    • 56 篇 力学(可授工学、理...
  • 3,696 篇 医学
    • 3,684 篇 临床医学
    • 76 篇 基础医学(可授医学...
  • 3,137 篇 理学
    • 1,880 篇 物理学
    • 1,604 篇 数学
    • 547 篇 统计学(可授理学、...
    • 466 篇 生物学
    • 243 篇 系统科学
    • 107 篇 化学
  • 491 篇 管理学
    • 290 篇 图书情报与档案管...
    • 212 篇 管理科学与工程(可...
    • 74 篇 工商管理
  • 252 篇 艺术学
    • 251 篇 设计学(可授艺术学...
  • 58 篇 法学
  • 38 篇 农学
  • 25 篇 教育学
  • 19 篇 经济学
  • 10 篇 军事学
  • 3 篇 文学

主题

  • 10,395 篇 computer vision
  • 3,893 篇 pattern recognit...
  • 3,101 篇 training
  • 2,104 篇 computational mo...
  • 1,897 篇 visualization
  • 1,799 篇 cameras
  • 1,487 篇 feature extracti...
  • 1,475 篇 three-dimensiona...
  • 1,464 篇 shape
  • 1,447 篇 image segmentati...
  • 1,287 篇 robustness
  • 1,234 篇 computer archite...
  • 1,213 篇 semantics
  • 1,112 篇 benchmark testin...
  • 1,111 篇 conferences
  • 1,104 篇 layout
  • 1,093 篇 object detection
  • 1,085 篇 computer science
  • 1,026 篇 codes
  • 907 篇 face recognition

机构

  • 137 篇 univ sci & techn...
  • 124 篇 univ chinese aca...
  • 121 篇 chinese univ hon...
  • 108 篇 tsinghua univers...
  • 108 篇 carnegie mellon ...
  • 105 篇 microsoft resear...
  • 97 篇 zhejiang univ pe...
  • 91 篇 swiss fed inst t...
  • 85 篇 university of sc...
  • 84 篇 zhejiang univers...
  • 81 篇 shanghai ai lab ...
  • 79 篇 university of ch...
  • 75 篇 shanghai jiao to...
  • 69 篇 microsoft res as...
  • 68 篇 alibaba grp peop...
  • 66 篇 adobe research
  • 65 篇 national laborat...
  • 64 篇 peking univ peop...
  • 61 篇 univ oxford oxfo...
  • 59 篇 peng cheng labor...

作者

  • 80 篇 van gool luc
  • 71 篇 timofte radu
  • 65 篇 zhang lei
  • 43 篇 luc van gool
  • 40 篇 yang yi
  • 37 篇 loy chen change
  • 34 篇 li stan z.
  • 33 篇 liu yang
  • 33 篇 xiaoou tang
  • 33 篇 murino vittorio
  • 33 篇 chen chen
  • 33 篇 qi tian
  • 33 篇 li fei-fei
  • 32 篇 tian qi
  • 32 篇 sun jian
  • 30 篇 ying shan
  • 30 篇 pascal fua
  • 29 篇 darrell trevor
  • 28 篇 li xin
  • 28 篇 hanqing lu

语言

  • 23,161 篇 英文
  • 52 篇 其他
  • 20 篇 中文
  • 5 篇 土耳其文
  • 2 篇 日文
检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition"
23240 条 记 录,以下是221-230 订阅
排序:
I Find Your Lack of Uncertainty in computer vision Disturbing
I Find Your Lack of Uncertainty in Computer Vision Disturbin...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Valdenegro-Toro, Matias German Res Ctr Artificial Intelligence Robert Hooke Str 1 D-28359 Bremen Germany
Neural networks are used for many real world applications, but often they have problems estimating their own confidence. This is particularly problematic for computer vision applications aimed at making high stakes de... 详细信息
来源: 评论
Differentiable Shadow Mapping for Efficient Inverse Graphics
Differentiable Shadow Mapping for Efficient Inverse Graphics
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Worchel, Markus Alexa, Marc TU Berlin Berlin Germany
We show how shadows can be efficiently generated in differentiable rendering of triangle meshes. Our central observation is that pre-filtered shadow mapping, a technique for approximating shadows based on rendering fr... 详细信息
来源: 评论
Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3)
Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of S...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Alexa, Marc TU Berlin Berlin Germany
Super-Fibonacci spirals are an extension of Fibonacci spirals, enabling fast generation of an arbitrary but fixed number of 3D orientations. The algorithm is simple and fast. A comprehensive evaluation comparing to ot... 详细信息
来源: 评论
Proceeding of the ieee computer Scoeity conference on computer vision and pattern recognition: Preface
Proceedings of the IEEE Computer Society Conference on Compu...
收藏 引用
Proceedings of the ieee computer Society conference on computer vision and pattern recognition 2007年
作者: Bhanu, Bir Ratha, Nalini University of California Riverside IBM T. J. Watson Research Center
No abstract available
来源: 评论
Meta Pseudo Labels
Meta Pseudo Labels
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hieu Pham Dai, Zihang Xie, Qizhe Le, Quoc, V Google AI Brain Team Mountain View CA 94043 USA
We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing state-of-the-art [16]. Like Pseudo Labe... 详细信息
来源: 评论
Deep Global Registration
Deep Global Registration
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Choy, Christopher Dong, Wei Koltun, Vladlen Stanford Univ Stanford CA 94305 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Intel Labs Hillsboro OR USA
We present Deep Global Registration, a differentiable framework for pairwise registration of real-world 3D scans. Deep global registration is based on three modules: a 6-dimensional convolutional network for correspon... 详细信息
来源: 评论
Delta Sampling R-BERT for limited data and low-light action recognition
Delta Sampling R-BERT for limited data and low-light action ...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hira, Sanchit Das, Ritwik Modi, Abhinav Pakhomov, Daniil Johns Hopkins Univ Baltimore MD 21218 USA
We present an approach to perform supervised action recognition in the dark. In this work, we present our results on the ARID dataset[60]. Most previous works only evaluate performance on large, well illuminated datas... 详细信息
来源: 评论
CoMoGAN: continuous model-guided image-to-image translation
CoMoGAN: continuous model-guided image-to-image translation
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Pizzati, Fabio Cerri, Pietro de Charette, Raoul INRIA Vislab Le Chesnay Rocquencourt France Vislab Parma Pr Italy INRIA Le Chesnay Rocquencourt France
CoMoGAN is a continuous GAN relying on the unsupervised reorganization of the target data on a functional manifold. To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, wh... 详细信息
来源: 评论
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
NTIRE 2021 Challenge on Quality Enhancement of Compressed Vi...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Yang, Ren Timofte, Radu Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The challenge is the first NTIRE challenge i... 详细信息
来源: 评论
Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded vision
Intelligent Scene Caching to Improve Accuracy for Energy-Con...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Simpson, Benjamin Lubana, Ekdeep Liu, Yuchen Dick, Robert Univ Michigan Ann Arbor MI 48109 USA
We describe an efficient method of improving the performance of vision algorithms operating on video streams by reducing the amount of data captured and transferred from image sensors to analysis servers in a data-awa... 详细信息
来源: 评论