咨询与建议

限定检索结果

文献类型

  • 20,798 篇 会议
  • 88 篇 期刊文献
  • 65 册 图书

馆藏范围

  • 20,950 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 13,275 篇 工学
    • 10,923 篇 计算机科学与技术...
    • 2,484 篇 机械工程
    • 2,307 篇 软件工程
    • 913 篇 光学工程
    • 771 篇 电气工程
    • 556 篇 控制科学与工程
    • 405 篇 信息与通信工程
    • 210 篇 测绘科学与技术
    • 131 篇 生物医学工程(可授...
    • 104 篇 电子科学与技术(可...
    • 100 篇 生物工程
    • 92 篇 仪器科学与技术
    • 56 篇 化学工程与技术
    • 52 篇 建筑学
    • 48 篇 土木工程
    • 44 篇 安全科学与工程
    • 38 篇 力学(可授工学、理...
    • 38 篇 航空宇航科学与技...
    • 35 篇 交通运输工程
  • 3,457 篇 医学
    • 3,449 篇 临床医学
    • 34 篇 基础医学(可授医学...
  • 2,315 篇 理学
    • 1,154 篇 数学
    • 1,132 篇 物理学
    • 417 篇 统计学(可授理学、...
    • 386 篇 生物学
    • 252 篇 系统科学
    • 57 篇 化学
  • 353 篇 管理学
    • 184 篇 图书情报与档案管...
    • 176 篇 管理科学与工程(可...
    • 32 篇 工商管理
  • 28 篇 法学
  • 20 篇 农学
  • 15 篇 教育学
  • 9 篇 经济学
  • 8 篇 艺术学
  • 5 篇 文学
  • 5 篇 军事学

主题

  • 8,203 篇 computer vision
  • 3,010 篇 pattern recognit...
  • 2,732 篇 training
  • 1,769 篇 computational mo...
  • 1,657 篇 visualization
  • 1,483 篇 cameras
  • 1,415 篇 shape
  • 1,369 篇 three-dimensiona...
  • 1,369 篇 face recognition
  • 1,285 篇 image segmentati...
  • 1,272 篇 feature extracti...
  • 1,178 篇 robustness
  • 1,090 篇 semantics
  • 1,040 篇 layout
  • 1,007 篇 object detection
  • 975 篇 object recogniti...
  • 969 篇 computer science
  • 946 篇 computer archite...
  • 946 篇 benchmark testin...
  • 931 篇 codes

机构

  • 174 篇 univ sci & techn...
  • 154 篇 carnegie mellon ...
  • 148 篇 univ chinese aca...
  • 144 篇 chinese univ hon...
  • 113 篇 microsoft resear...
  • 103 篇 zhejiang univ pe...
  • 99 篇 swiss fed inst t...
  • 97 篇 tsinghua univ pe...
  • 93 篇 tsinghua univers...
  • 91 篇 microsoft res as...
  • 88 篇 shanghai ai lab ...
  • 81 篇 zhejiang univers...
  • 76 篇 alibaba grp peop...
  • 74 篇 hong kong univ s...
  • 73 篇 university of sc...
  • 72 篇 peking univ peop...
  • 69 篇 university of ch...
  • 68 篇 shanghai jiao to...
  • 66 篇 google res mount...
  • 66 篇 univ oxford oxfo...

作者

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

语言

  • 20,928 篇 英文
  • 14 篇 中文
  • 6 篇 其他
  • 2 篇 日文
  • 2 篇 土耳其文
检索条件"任意字段=2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009"
20951 条 记 录,以下是4991-5000 订阅
排序:
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
GenHowTo: Learning to Generate Actions and State Transformat...
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Tomáš Souček Dima Damen Michael Wray Ivan Laptev Josef Sivic CIIRC CTU Czech Institute of Informatics Robotics and Cybernetics at the Czech Technical University in Prague. University of Bristol MBZUAI Mohamed bin Zayed University of Artificial Intelligence.
We address the task of generating temporally consistent and physically plausible images of actions and object state transformations. Given an input image and a text prompt describing the targeted transformation, our g... 详细信息
来源: 评论
Brain Decodes Deep Nets
Brain Decodes Deep Nets
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Huzheng Yang James Gee Jianbo Shi University of Pennsylvania
We developed a tool for visualizing and analyzing large pre-trained vision models by mapping them onto the brain, thus exposing their hidden inside. Our innovation arises from a surprising usage of brain encoding: pre... 详细信息
来源: 评论
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
Learned Scanpaths Aid Blind Panoramic Video Quality Assessme...
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Kanglong Fan Wen Wen Mu Li Yifan Peng Kede Ma City University of Hong Kong Harbin Institute of Technology Shenzhen The University of Hong Kong
Panoramic videos have the advantage of providing an immersive and interactive viewing experience. Nevertheless, their spherical nature gives rise to various and uncertain user viewing behaviors, which poses significan... 详细信息
来源: 评论
Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning
Context-Based and Diversity-Driven Specificity in Compositio...
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Yun Li Zhe Liu Hang Chen Lina Yao CSIRO‘s Data61 Bytedance Ltd. Snap Inc.
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object pairs based on a limited set of observed examples. Current CZSL methodologies, despite their advancements, tend to neglect the distinct... 详细信息
来源: 评论
CapsuleRRT: Relationships-aware Regression Tracking via Capsules
CapsuleRRT: Relationships-aware Regression Tracking via Caps...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ma, Ding Wu, Xiangqian Harbin Inst Technol Sch Comp Sci & Technol Harbin Peoples R China
Regression tracking has gained more and more attention thanks to its easy-to-implement characteristics, while existing regression trackers rarely consider the relationships between the object parts and the complete ob... 详细信息
来源: 评论
vision Transformers are Good Mask Auto-Labelers
Vision Transformers are Good Mask Auto-Labelers
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Shiyi Lan Xitong Yang Zhiding Yu Zuxuan Wu Jose M. Alvarez Anima Anandkumar NVIDIA Meta AI FAIR Fudan University Caltech
We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mask auto-labeling framework for instance segmentation using only box annotations. MAL takes box-cropped images as inputs and conditionally generate...
来源: 评论
NTIRE 2022 Burst Super-Resolution Challenge
NTIRE 2022 Burst Super-Resolution Challenge
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Bhat, Goutam Danelljan, Martin Timofte, Radu Cao, Yizhen Cao, Yuntian Chen, Meiya Chen, Xihao Cheng, Shen Dudhane, Akshay Fan, Haoqiang Gang, Ruipeng Gao, Jian Gu, Yan Huang, Jie Huang, Liufeng Jo, Youngsu Kang, Sukju Khan, Salman Khan, Fahad Shahbaz Kondo, Yuki Li, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Liu, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Luo, Ziwei Luo, Zhengxiong Mehta, Nancy Murala, Subrahmanyam Nam, Yoonchan Nakatani, Chihiro Ostyakov, Pavel Pan, Jinshan Song, Ge Sun, Jian Sun, Long Tang, Jinhui Ukita, Norimichi Wen, Zhihong Wu, Qi Wu, Xiaohe Xiao, Zeyu Xiong, Zhiwei Xu, Rongjian Xu, Ruikang Yan, Youliang Yang, Jialin Yang, Wentao Yang, Zhongbao Yasue, Fuma Yao, Mingde Yu, Lei Zhang, Cong Zamir, Syed Waqas Zhang, Jianxing Zhang, Shuohao Zhang, Zhilu Zheng, Qian Zhou, Gaofeng Zhussip, Magauiya Zou, Xueyi Zuo, Wangmeng Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland Julius Maximilian Univ Wurzburg Wurzburg Germany Commun Univ China Beijing Peoples R China UHDTV Res & Applicat Lab Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Harbin Inst Technol Harbin Peoples R China South China Univ Technol Guangzhou Peoples R China Megvii Technol Beijing Peoples R China Univ Elect Sci & Technol China UESTC Chengdu Peoples R China Xiaomi Beijing Peoples R China Huawei Noahs Ark Lab Shenzhen Peoples R China Nanjing Univ Sci & Technol Nanjing Peoples R China SRC B Beijing Peoples R China CASIA Beijing Peoples R China Indian Inst Technol Ropar IIT Ropar Rupnagar Punjab India Mohamed Bin Zayed Univ AI MBZUAI Abu Dhabi U Arab Emirates Incept Inst Artificial Intelligence IIAI Abu Dhabi U Arab Emirates MBZUAI Abu Dhabi U Arab Emirates Australian Natl Univ ANU Canberra ACT Australia Linkoping Univ Linkoping Sweden Toyota Technol Inst TTI Nagoya Aichi Japan Sogang Univ Seoul South Korea UESTC Chengdu Peoples R China USTC Hefei Peoples R China WHU Wuhan Peoples R China Univ Sci & Technol China Hefei Peoples R China
Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to rec... 详细信息
来源: 评论
SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection
SRDAN: Scale-aware and Range-aware Domain Adaptation Network...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Zhang, Weichen Li, Wen Xu, Dong Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Univ Elect Sci & Technol China Sch Comp Sci & Engn Langfang Peoples R China
Geometric characteristic plays an important role in the representation of an object in 3D point clouds. For example, large objects often contain more points, while small ones contain fewer points. The points from obje... 详细信息
来源: 评论
InstanceDiffusion: Instance-Level Control for Image Generation
InstanceDiffusion: Instance-Level Control for Image Generati...
收藏 引用
conference on computer vision and pattern recognition (cvpr)
作者: Xudong Wang Trevor Darrell Sai Saketh Rambhatla Rohit Girdhar Ishan Misra GenAI Meta UC Berkeley
Text-to-image diffusion models produce high quality images but do not offer control over individual instances in the image. We introduce InstanceDiffusion that adds precise instance-level control to text-to-image diff... 详细信息
来源: 评论
Deep Learning based Spatial-Temporal In-loop filtering for Versatile Video Coding
Deep Learning based Spatial-Temporal In-loop filtering for V...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Pham, Chi D. K. Fu, Chen Zhou, Jinjia Hosei Univ Tokyo Japan JST PRESTO Saitama Japan
The existing deep learning-based Versatile Video Coding (VVC) in-loop filtering (ILF) enhancement works mainly focus on learning the one-to-one mapping between the reconstructed and the original video frame, ignoring ... 详细信息
来源: 评论