咨询与建议

限定检索结果

文献类型

  • 19,438 篇 会议
  • 46 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 19,486 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 12,440 篇 工学
    • 10,282 篇 计算机科学与技术...
    • 2,395 篇 机械工程
    • 2,007 篇 软件工程
    • 813 篇 光学工程
    • 531 篇 电气工程
    • 419 篇 控制科学与工程
    • 322 篇 信息与通信工程
    • 210 篇 测绘科学与技术
    • 80 篇 生物医学工程(可授...
    • 73 篇 电子科学与技术(可...
    • 70 篇 生物工程
    • 60 篇 仪器科学与技术
    • 38 篇 建筑学
    • 36 篇 土木工程
    • 33 篇 力学(可授工学、理...
    • 31 篇 航空宇航科学与技...
    • 26 篇 安全科学与工程
    • 20 篇 材料科学与工程(可...
    • 20 篇 交通运输工程
  • 3,409 篇 医学
    • 3,408 篇 临床医学
  • 1,980 篇 理学
    • 1,006 篇 数学
    • 973 篇 物理学
    • 359 篇 统计学(可授理学、...
    • 336 篇 生物学
    • 231 篇 系统科学
    • 24 篇 化学
  • 258 篇 管理学
    • 138 篇 管理科学与工程(可...
    • 122 篇 图书情报与档案管...
    • 27 篇 工商管理
  • 19 篇 法学
    • 19 篇 社会学
  • 14 篇 农学
  • 8 篇 教育学
  • 7 篇 经济学
  • 3 篇 军事学
  • 3 篇 艺术学

主题

  • 7,893 篇 computer vision
  • 2,727 篇 training
  • 2,679 篇 pattern recognit...
  • 1,760 篇 computational mo...
  • 1,644 篇 visualization
  • 1,410 篇 cameras
  • 1,372 篇 three-dimensiona...
  • 1,327 篇 shape
  • 1,213 篇 face recognition
  • 1,207 篇 image segmentati...
  • 1,164 篇 feature extracti...
  • 1,109 篇 robustness
  • 1,087 篇 semantics
  • 983 篇 layout
  • 959 篇 object detection
  • 949 篇 computer archite...
  • 942 篇 benchmark testin...
  • 931 篇 codes
  • 902 篇 computer science
  • 859 篇 deep learning

机构

  • 174 篇 univ sci & techn...
  • 161 篇 carnegie mellon ...
  • 148 篇 univ chinese aca...
  • 144 篇 chinese univ hon...
  • 109 篇 microsoft resear...
  • 106 篇 tsinghua univ pe...
  • 103 篇 zhejiang univ pe...
  • 99 篇 swiss fed inst t...
  • 92 篇 tsinghua univers...
  • 89 篇 microsoft res as...
  • 88 篇 shanghai ai lab ...
  • 81 篇 zhejiang univers...
  • 76 篇 alibaba grp peop...
  • 73 篇 university of sc...
  • 73 篇 hong kong univ s...
  • 72 篇 peking univ peop...
  • 72 篇 university of ch...
  • 68 篇 shanghai jiao to...
  • 66 篇 univ oxford oxfo...
  • 66 篇 shanghai jiao to...

作者

  • 79 篇 van gool luc
  • 70 篇 zhang lei
  • 59 篇 timofte radu
  • 48 篇 yang yi
  • 46 篇 xiaoou tang
  • 45 篇 luc van gool
  • 43 篇 darrell trevor
  • 43 篇 tian qi
  • 42 篇 loy chen change
  • 42 篇 sun jian
  • 42 篇 li fei-fei
  • 40 篇 qi tian
  • 38 篇 li stan z.
  • 36 篇 chen xilin
  • 36 篇 torralba antonio
  • 35 篇 vasconcelos nuno
  • 35 篇 shan shiguang
  • 35 篇 liu yang
  • 34 篇 liu xiaoming
  • 34 篇 tao dacheng

语言

  • 19,482 篇 英文
  • 2 篇 日文
  • 2 篇 中文
  • 1 篇 其他
检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19487 条 记 录,以下是4791-4800 订阅
排序:
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Neural Parts: Learning Expressive 3D Shape Abstractions with...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Paschalidou, Despoina Katharopoulos, Angelos Geiger, Andreas Fidler, Sanja Max Planck Inst Intelligent Syst Tubingen Tubingen Germany Univ Tubingen Tubingen Germany Idiap Res Inst Martigny Switzerland Ecole Polytech Fed Lausanne EPFL Lausanne Switzerland Max Planck ETH Ctr Learning Syst Zurich Switzerland NVIDIA Santa Clara CA 95051 USA Univ Toronto Toronto ON Canada Vector Inst Toronto ON Canada
Impressive progress in 3D shape extraction led to representations that can capture object geometries with high fidelity. In parallel, primitive-based methods seek to represent objects as semantically consistent part a... 详细信息
来源: 评论
Delving into Localization Errors for Monocular 3D Object Detection
Delving into Localization Errors for Monocular 3D Object Det...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ma, Xinzhu Zhang, Yinmin Xu, Dan Zhou, Dongzhan Yi, Shuai Li, Haojie Ouyang, Wanli Univ Sydney Sydney NSW Australia Hong Kong Univ Sci & Technol Hong Kong Peoples R China SenseTime Res Hong Kong Peoples R China Dalian Univ Technol Dalian Peoples R China
Estimating 3D bounding boxes from monocular images is an essential component in autonomous driving, while accurate 3D object detection from this kind of data is very challenging. In this work, by intensive diagnosis e... 详细信息
来源: 评论
Sketch, Ground, and Refine: Top-Down Dense Video Captioning
Sketch, Ground, and Refine: Top-Down Dense Video Captioning
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Deng, Chaorui Chen, Shizhe Chen, Da He, Yuan Wu, Qi Univ Adelaide Adelaide SA Australia INRIA Rocquencourt France Alibaba Grp Hangzhou Zhejiang Peoples R China
The dense video captioning task aims to detect and describe a sequence of events in a video for detailed and coherent storytelling. Previous works mainly adopt a "detect-then-describe" framework, which first... 详细信息
来源: 评论
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Rethinking Semantic Segmentation from a Sequence-to-Sequence...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zheng, Sixiao Lu, Jiachen Zhao, Hengshuang Zhu, Xiatian Luo, Zekun Wang, Yabiao Fu, Yanwei Feng, Jianfeng Xiang, Tao Torr, Philip H. S. Zhang, Li Fudan Univ Shanghai Peoples R China Univ Oxford Oxford England Univ Surrey Guildford Surrey England Tencent Youtu Lab Shanghai Peoples R China Facebook AI Menlo Pk CA USA
Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more abstract/semantic visu... 详细信息
来源: 评论
3DInAction: Understanding Human Actions in 3D Point Clouds
3DInAction: Understanding Human Actions in 3D Point Clouds
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Yizhak Ben-Shabat Oren Shrout Stephen Gould Australian National University Technion Israel Institute of Technology
We propose a novel method for 3D point cloud action recognition. Understanding human actions in RGB videos has been widely studied in recent years, however, its 3D point cloud counterpart remains under-explored despit... 详细信息
来源: 评论
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hu, Qingyong Yang, Bo Khalid, Sheikh Xiao, Wen Trigoni, Niki Markham, Andrew Univ Oxford Oxford England Hong Kong Polytech Univ Hong Kong Peoples R China Sensat Ltd London England Newcastle Univ Newcastle Upon Tyne Tyne & Wear England
An essential prerequisite for unleashing the potential of supervised deep learning algorithms in the area of 3D scene understanding is the availability of large-scale and richly annotated datasets. However, publicly a... 详细信息
来源: 评论
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-s...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yang, Zongxin Yu, Xin Yang, Yi Baidu Res Beijing Peoples R China Univ Technol Sydney ReLER Sydney NSW Australia
Compared to 2D object bounding-box labeling, it is very difficult for humans to annotate 3D object poses, especially when depth images of scenes are unavailable. This paper investigates whether we can estimate the obj... 详细信息
来源: 评论
Color Me Good: Branding in the Coloring Style of Movie Posters
Color Me Good: Branding in the Coloring Style of Movie Poste...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Agrawal, Rishabh Sivaprasad, Sarath Pedanekar, Niranjan TCS Res Tata Consultancy Serv Pune 411013 Maharashtra India
Brand logos are often rendered in a different style based on a context such as an event promotion. For example, Warner Bros. uses a different variety of their brand logo for different movies for promotion and aestheti... 详细信息
来源: 评论
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding
Combinatorial Learning of Graph Edit Distance via Dynamic Em...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Runzhong Zhang, Tianqi Yu, Tianshu Yan, Junchi Yang, Xiaokang Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China Shanghai Jiao Tong Univ MoE Key Lab Artificial Intelligence Shanghai Peoples R China Arizona State Univ Tempe AZ 85287 USA
Graph Edit Distance (GED) is a popular similarity measurement for pairwise graphs and it also refers to the recovery of the edit path from the source graph to the target graph. Traditional A* algorithm suffers scalabi... 详细信息
来源: 评论
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing
Perception Matters: Detecting Perception Failures of VQA Mod...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yuan, Yuanyuan Wang, Shuai Jiang, Mingyue Chen, Tsong Yueh HKUST Hong Kong Peoples R China Zhejiang Sci Tech Univ Hangzhou Peoples R China Swinburne Univ Technol Hawthorn Vic Australia
Visual question answering (VQA) takes an image and a natural-language question as input and returns a natural-language answer. To date, VQA models are primarily assessed by their accuracy on high-level reasoning quest... 详细信息
来源: 评论