咨询与建议

限定检索结果

文献类型

  • 23,008 篇 会议
  • 126 册 图书
  • 94 篇 期刊文献

馆藏范围

  • 23,227 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 13,631 篇 工学
    • 11,116 篇 计算机科学与技术...
    • 3,481 篇 软件工程
    • 2,445 篇 机械工程
    • 1,716 篇 光学工程
    • 1,080 篇 电气工程
    • 1,014 篇 控制科学与工程
    • 788 篇 信息与通信工程
    • 411 篇 仪器科学与技术
    • 352 篇 生物工程
    • 251 篇 生物医学工程(可授...
    • 196 篇 电子科学与技术(可...
    • 114 篇 化学工程与技术
    • 109 篇 安全科学与工程
    • 100 篇 测绘科学与技术
    • 88 篇 建筑学
    • 88 篇 交通运输工程
    • 84 篇 土木工程
  • 3,495 篇 医学
    • 3,482 篇 临床医学
    • 82 篇 基础医学(可授医学...
  • 3,246 篇 理学
    • 1,941 篇 物理学
    • 1,643 篇 数学
    • 563 篇 统计学(可授理学、...
    • 500 篇 生物学
    • 249 篇 系统科学
    • 106 篇 化学
  • 521 篇 管理学
    • 311 篇 图书情报与档案管...
    • 223 篇 管理科学与工程(可...
    • 76 篇 工商管理
  • 276 篇 艺术学
    • 276 篇 设计学(可授艺术学...
  • 66 篇 法学
    • 63 篇 社会学
  • 38 篇 农学
  • 28 篇 教育学
  • 22 篇 经济学
  • 10 篇 军事学
  • 3 篇 文学

主题

  • 10,186 篇 computer vision
  • 3,967 篇 pattern recognit...
  • 3,005 篇 training
  • 2,007 篇 computational mo...
  • 1,818 篇 visualization
  • 1,815 篇 cameras
  • 1,515 篇 feature extracti...
  • 1,481 篇 shape
  • 1,455 篇 three-dimensiona...
  • 1,438 篇 image segmentati...
  • 1,287 篇 robustness
  • 1,206 篇 computer archite...
  • 1,155 篇 semantics
  • 1,147 篇 conferences
  • 1,107 篇 layout
  • 1,092 篇 computer science
  • 1,088 篇 object detection
  • 1,025 篇 benchmark testin...
  • 970 篇 codes
  • 922 篇 face recognition

机构

  • 136 篇 univ sci & techn...
  • 121 篇 univ chinese aca...
  • 118 篇 chinese univ hon...
  • 105 篇 carnegie mellon ...
  • 101 篇 tsinghua univers...
  • 101 篇 microsoft resear...
  • 95 篇 swiss fed inst t...
  • 93 篇 zhejiang univ pe...
  • 82 篇 university of sc...
  • 81 篇 zhejiang univers...
  • 79 篇 university of ch...
  • 77 篇 shanghai ai lab ...
  • 72 篇 shanghai jiao to...
  • 69 篇 national laborat...
  • 67 篇 microsoft res as...
  • 67 篇 alibaba grp peop...
  • 64 篇 adobe research
  • 60 篇 peking univ peop...
  • 60 篇 tsinghua univ pe...
  • 59 篇 univ oxford oxfo...

作者

  • 81 篇 van gool luc
  • 72 篇 timofte radu
  • 65 篇 zhang lei
  • 47 篇 luc van gool
  • 40 篇 yang yi
  • 40 篇 li stan z.
  • 37 篇 loy chen change
  • 35 篇 chen chen
  • 33 篇 xiaoou tang
  • 32 篇 liu yang
  • 32 篇 qi tian
  • 31 篇 tian qi
  • 31 篇 sun jian
  • 30 篇 murino vittorio
  • 29 篇 ling haibin
  • 29 篇 darrell trevor
  • 29 篇 pascal fua
  • 29 篇 li fei-fei
  • 28 篇 li xin
  • 28 篇 ying shan

语言

  • 22,989 篇 英文
  • 210 篇 其他
  • 22 篇 中文
  • 5 篇 土耳其文
  • 2 篇 日文
检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition Workshops"
23228 条 记 录,以下是921-930 订阅
Architectural Backdoors in Neural Networks
Architectural Backdoors in Neural Networks
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bober-Irizar, Mikel Shumailov, Ilia Zhao, Yiren Mullins, Robert Papernot, Nicolas Univ Cambridge Cambridge England Vector Inst Toronto ON Canada Univ Oxford Oxford England Imperial Coll London London England Univ Toronto Toronto ON Canada
Machine learning is vulnerable to adversarial manipulation. Previous literature demonstrated that at the training stage attackers can manipulate data [14] and data sampling procedures [29] to control model behaviour. ... 详细信息
来源: 评论
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices
Efficient Multi-Purpose Cross-Attention Based Image Alignmen...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bilecen, Bahri Batuhan Fisne, Alparslan Ayazoglu, Mustafa Aselsan Res Ankara Turkey
Image alignment, also known as image registration, is a critical block used in many computer vision problems. One of the key factors in alignment is efficiency, as inefficient aligners can cause significant overhead t... 详细信息
来源: 评论
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection
Fresnel Microfacet BRDF: Unification of Polari-Radiometric S...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Ichikawa, Tomoki Fukao, Yoshiki Nobuhara, Shohei Nishino, Ko Kyoto Univ Grad Sch Informat Kyoto Japan
computer vision applications have heavily relied on the linear combination of Lambertian diffuse and microfacet specular reflection models for representing reflected radiance, which turns out to be physically incompat... 详细信息
来源: 评论
Analysis of Temporal Tensor Datasets on Product Grassmann Manifold
Analysis of Temporal Tensor Datasets on Product Grassmann Ma...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Batalo, Bojan Souza, Lincon S. Gatto, Bernardo B. Sogi, Naoya Fukui, Kazuhiro Univ Tsukuba Tsukuba Ibaraki Japan AIST Tokyo Japan AIST Tsukuba Ibaraki Japan
Growing abundance of multi-dimensional data creates a need for efficient data exploration and analysis. In this paper, we address this need by tackling the task of tensor dataset visualization and clustering, as tenso... 详细信息
来源: 评论
Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
Constrained Evolutionary Diffusion Filter for Monocular Endo...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Luo, Xiongbiao Xiamen Univ Dept Comp Sci & Technol Xiamen Peoples R China Xiamen Univ Natl Inst Data Sci Hlth & Med Xiamen 361102 Peoples R China
Stochastic filtering is widely used to deal with nonlinear optimization problems such as 3-D and visual tracking in various computer vision and augmented reality applications. Many current methods suffer from an imbal... 详细信息
来源: 评论
Inferring Affective Experience from the Big Picture Metaphor: A Two-dimensional Visual Breadth Model
Inferring Affective Experience from the Big Picture Metaphor...
收藏 引用
2023 ieee/CVF conference on computer vision and pattern recognition workshops, CVPRW 2023
作者: Tong, Song Duan, Jingyi Liang, Xuefeng Kumada, Takatsune Peng, Kaiping Nakashima, Ryoichi Tsinghua University Department of Psychology Beijing China Xidian University School of Artificial Intelligence Shaanxi China Kyoto University Graduate School of Informatics Kyoto Japan
This study explores the psychological significance of the commonly used visual metaphor 'seeing the big picture' and examines whether and how it leads to positive experiences in real-life situations. To elucid... 详细信息
来源: 评论
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion
MSTRIQ: No Reference Image Quality Assessment Based on Swin ...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Jing Fan, Haotian Hou, Xiaoxia Xu, Yitian Li, Tao Lu, Xuechao Fu, Lean ByteDance Inc Bldg 10Zone ABusiness PkLane 888Tianlin Rd Shanghai Peoples R China
Measuring the perceptual quality of images automatically is an essential task in the area of computer vision, as degradations on image quality can exist in many processes from image acquisition, transmission to enhanc... 详细信息
来源: 评论
NCQS: Nonlinear Convex Quadrature Surrogate Hyperparameter Optimization
NCQS: Nonlinear Convex Quadrature Surrogate Hyperparameter O...
收藏 引用
ieee/CVF International conference on computer vision (ICCV)
作者: Abraham, Sophia Maduranga, Kehelwala Dewage Gayan Kinnison, Jeffery Hauenstein, Jonathan Scheirer, Walter Univ Notre Dame Notre Dame IN 46556 USA Tennessee Technol Univ Cookeville TN 38505 USA
Deep learning has revolutionized artificial intelligence and enabled breakthroughs across various domains. However, as deep learning models continue to grow in scale and complexity, optimizing their hyperparameters fo... 详细信息
来源: 评论
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting
GLaMa: Joint Spatial and Frequency Loss for General Image In...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Lu, Zeyu Jiang, Junjun Huang, Junqin Wu, Gang Liu, Xianming Harbin Inst Technol Harbin Peoples R China Beihang Univ Beijing Peoples R China
The purpose of image inpainting is to recover scratches and damaged areas using context information from remaining parts. In recent years, thanks to the resurgence of convolutional neural networks (CNNs), image inpain... 详细信息
来源: 评论
Spectral Bayesian Uncertainty for Image Super-resolution
Spectral Bayesian Uncertainty for Image Super-resolution
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Liu, Tao Cheng, Jun Tan, Shan Huazhong Univ Sci & Technol Wuhan Peoples R China
Recently deep learning techniques have significantly advanced image super-resolution (SR). Due to the black-box nature, quantifying reconstruction uncertainty is crucial when employing these deep SR networks. Previous... 详细信息
来源: 评论