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4921-4930 订阅
排序:
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
Extracting Motion and Appearance via Inter-Frame Attention f...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Guozhen Zhu, Yuhan Wang, Haonan Chen, Youxin Wu, Gangshan Wang, Limin Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Shanghai AI Lab Shanghai Peoples R China Samsung Elect China R&D Ctr Beijing Peoples R China
Effectively extracting inter-frame motion and appearance information is important for video frame interpolation (VFI). Previous works either extract both types of information in a mixed way or devise separate modules ... 详细信息
来源: 评论
Learning Imbalanced Data with vision Transformers
Learning Imbalanced Data with Vision Transformers
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Xu, Zhengzhuo Liu, Ruikang Yang, Shuo Chai, Zenghao Yuan, Chun Tsinghua Univ Shenzhen Int Grad Sch Beijing Peoples R China
The real-world data tends to be heavily imbalanced and severely skew the data-driven deep neural networks, which makes Long-Tailed recognition (LTR) a massive challenging task. Existing LTR methods seldom train vision... 详细信息
来源: 评论
Meta Distribution Alignment for Generalizable Person Re-Identification
Meta Distribution Alignment for Generalizable Person Re-Iden...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ni, Hao Song, Jingkuan Luo, Xiaopeng Zheng, Feng Li, Wen Shen, Heng Tao Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China Southern Univ Sci & Technol Shenzhen Peoples R China
Domain Generalizable (DG) person ReID is a challenging task which trains a model on source domains yet generalizes well on target domains. Existing methods use source domains to learn domain-invariant features, and as... 详细信息
来源: 评论
Graph Convolutional Tracking  32
Graph Convolutional Tracking
收藏 引用
32nd ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gao, Junyu Zhang, Tianzhu Xu, Changsheng Chinese Acad Sci CASIA Inst Automat Natl Lab Pattern Recognit NLPR Beijing Peoples R China Univ Chinese Acad Sci UCAS Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China Univ Sci & Technol China Hefei Peoples R China
Tracking by siamese networks has achieved favorable performance in recent years. However, most of existing siamese methods do not take full advantage of spatial-temporal target appearance modeling under different cont... 详细信息
来源: 评论
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomal...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Acsintoae, Andra Florescu, Andrei Georgescu, Mariana-Iuliana Mare, Tudor Sumedrea, Paul Ionescu, Radu Tudor Khan, Fahad Shahbaz Shah, Mubarak Univ Bucharest Bucharest Romania MBZ Univ Artificial Intelligence Abu Dhabi U Arab Emirates SecurifAI Bucharest Romania Linkoping Univ Linkoping Sweden Univ Cent Florida Orlando FL 32816 USA
Detecting abnormal events in video is commonly framed as a one-class classification task, where training videos contain only normal events, while test videos encompass both normal and abnormal events. In this scenario... 详细信息
来源: 评论
Equivariant Multi-Modality Image Fusion
Equivariant Multi-Modality Image Fusion
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhao, Zixiang Hai, Haowen Zhang, Jiangshe Zhang, Yulun Zhane, Kai Xu, Shuang Chen, Dongdong Timofte, Radu Van Gool, Luc Xi An Jiao Tong Univ Xian Peoples R China Swiss Fed Inst Technol Zurich Switzerland Shanghai Jiao Tong Univ Shanghai Peoples R China Nanjing Univ Nanjing Peoples R China Northwestern Polytech Univ Xian Peoples R China Heriot Watt Univ Edinburgh Midlothian Scotland Univ Wurzburg Wurzburg Germany INSAIT Sofia Bulgaria
Multi-modality image fusion is a technique that combines information from different sensors or modalities, enabling the fused image to retain complementary features from each modality, such as functional highlights an... 详细信息
来源: 评论
HeadNeRF: A Real-time NeRF-based Parametric Head Model
HeadNeRF: A Real-time NeRF-based Parametric Head Model
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hong, Yang Peng, Bo Xiao, Haiyao Liu, Ligang Zhang, Juyong Univ Sci & Technol China Hefei Peoples R China
In this paper, we propose HeadNeRE a novel NeRF-based parametric head model that integrates the neural radiance field to the parametric representation of the human head. It can render high fidelity head images in real... 详细信息
来源: 评论
Dimension Embeddings for Monocular 3D Object Detection
Dimension Embeddings for Monocular 3D Object Detection
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Zhang, Yunpeng Zheng, Wenzhao Zhu, Zheng Huang, Guan Du, Dalong Zhou, Jie Lu, Jiwen Beijing Natl Res Ctr Informat Sci & Technol Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China PhiGent Robot Beijing Peoples R China
Most existing deep learning-based approaches for monocular 3D object detection directly regress the dimensions of objects and overlook their importance in solving the ill-posed problem. In this paper, we propose a gen... 详细信息
来源: 评论
Rethinking Optical Flow from Geometric Matching Consistent Perspective
Rethinking Optical Flow from Geometric Matching Consistent P...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Dong, Qiaole Cao, Chenjie Fu, Yanwei Fudan Univ Sch Data Sci Shanghai Peoples R China Shanghai Key Lab Intelligent Informat Proc Shanghai Peoples R China Zhejiang Normal Univ Fudan ISTBI ZJNU Algorithm Ctr Brain Inspired Int Jinhua Peoples R China
Optical flow estimation is a challenging problem remaining unsolved. Recent deep learning based optical flow models have achieved considerable success. However, these models often train networks from the scratch on st... 详细信息
来源: 评论
Interpreting Super-Resolution Networks with Local Attribution Maps
Interpreting Super-Resolution Networks with Local Attributio...
收藏 引用
ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gu, Jinjin Dong, Chao Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Chinese Acad Sci Shenzhen Inst Adv Technol Key Lab Human Machine Intelligence Synergy Syst Shenzhen Peoples R China Shenzhen Inst Artificial Intelligence & Robot Soc SIAT Branch Shenzhen Peoples R China
Image super-resolution (SR) techniques have been developing rapidly, benefiting from the invention of deep networks and its successive breakthroughs. However, it is acknowledged that deep learning and deep neural netw... 详细信息
来源: 评论