咨询与建议

限定检索结果

文献类型

  • 6,421 篇 会议
  • 25 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 6,448 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 3,849 篇 工学
    • 3,647 篇 计算机科学与技术...
    • 1,431 篇 软件工程
    • 790 篇 光学工程
    • 302 篇 信息与通信工程
    • 242 篇 控制科学与工程
    • 219 篇 电气工程
    • 201 篇 机械工程
    • 80 篇 生物医学工程(可授...
    • 68 篇 生物工程
    • 67 篇 电子科学与技术(可...
    • 64 篇 仪器科学与技术
    • 36 篇 建筑学
    • 33 篇 力学(可授工学、理...
    • 33 篇 土木工程
    • 33 篇 航空宇航科学与技...
    • 26 篇 安全科学与工程
    • 22 篇 交通运输工程
    • 20 篇 材料科学与工程(可...
    • 18 篇 化学工程与技术
  • 1,453 篇 理学
    • 945 篇 物理学
    • 890 篇 数学
    • 352 篇 统计学(可授理学、...
    • 134 篇 生物学
    • 38 篇 系统科学
    • 23 篇 化学
  • 160 篇 管理学
    • 110 篇 图书情报与档案管...
    • 52 篇 管理科学与工程(可...
    • 25 篇 工商管理
  • 112 篇 医学
    • 112 篇 临床医学
  • 17 篇 法学
    • 17 篇 社会学
  • 12 篇 农学
  • 8 篇 教育学
  • 7 篇 艺术学
  • 6 篇 经济学
  • 2 篇 军事学

主题

  • 2,288 篇 computer vision
  • 789 篇 pattern recognit...
  • 637 篇 cameras
  • 629 篇 computer science
  • 568 篇 face recognition
  • 555 篇 layout
  • 510 篇 image segmentati...
  • 509 篇 conferences
  • 498 篇 shape
  • 445 篇 robustness
  • 439 篇 object recogniti...
  • 388 篇 humans
  • 332 篇 feature extracti...
  • 321 篇 training
  • 303 篇 object detection
  • 262 篇 image recognitio...
  • 257 篇 application soft...
  • 246 篇 lighting
  • 238 篇 image reconstruc...
  • 237 篇 computational mo...

机构

  • 41 篇 microsoft resear...
  • 26 篇 department of co...
  • 21 篇 swiss fed inst t...
  • 21 篇 school of comput...
  • 20 篇 department of co...
  • 19 篇 swiss fed inst t...
  • 19 篇 carnegie mellon ...
  • 18 篇 department of co...
  • 17 篇 department of in...
  • 17 篇 the robotics ins...
  • 17 篇 institute of com...
  • 16 篇 univ sci & techn...
  • 16 篇 robotics institu...
  • 15 篇 tsinghua univ pe...
  • 14 篇 department of el...
  • 14 篇 school of comput...
  • 14 篇 school of comput...
  • 13 篇 univ maryland co...
  • 13 篇 microsoft resear...
  • 13 篇 microsoft resear...

作者

  • 39 篇 timofte radu
  • 28 篇 s.k. nayar
  • 24 篇 huang thomas s.
  • 23 篇 xiaoou tang
  • 22 篇 t. kanade
  • 20 篇 t.s. huang
  • 19 篇 van gool luc
  • 19 篇 t. darrell
  • 19 篇 chellappa rama
  • 18 篇 nayar shree k.
  • 17 篇 a.k. jain
  • 17 篇 a. zisserman
  • 17 篇 jain anil k.
  • 16 篇 g. healey
  • 16 篇 torralba antonio
  • 16 篇 heung-yeung shum
  • 16 篇 zisserman andrew
  • 16 篇 l. van gool
  • 15 篇 m. shah
  • 15 篇 ji qiang

语言

  • 6,447 篇 英文
  • 2 篇 其他
检索条件"任意字段=1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992"
6449 条 记 录,以下是381-390 订阅
排序:
Photometric Stereo via Discrete Hypothesis-and-Test Search
Photometric Stereo via Discrete Hypothesis-and-Test Search
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Enomoto, Kenji Waechter, Michael Kutulakos, Kiriakos N. Matsushita, Yasuyuki Osaka Univ Osaka Japan Univ Toronto Toronto ON Canada
In this paper, we consider the problem of estimating surface normals of a scene with spatially varying, general BRDFs observed by a static camera under varying, known, distant illumination. Unlike previous approaches ... 详细信息
来源: 评论
RELATIVE AFFINE STRUCTURE - THEORY AND APPLICATION TO 3D RECONSTRUCTION FROM PERSPECTIVE VIEWS
RELATIVE AFFINE STRUCTURE - THEORY AND APPLICATION TO 3D REC...
收藏 引用
1994 ieee computer-society conference on computer vision and pattern recognition
作者: SHASHUA, A NAVAB, N MIT CTR BIOL & COMP LEARNINGARTIFICIAL INTELLIGENCE LABCAMBRIDGEMA 02139
We propose an affine framework for perspective views, captured by a single extremely simple equation based on a viewer-centered invariant we call relative affine structure. Via a number of corollaries of our main resu... 详细信息
来源: 评论
Fine-grained Activity recognition in Baseball Videos  31
Fine-grained Activity Recognition in Baseball Videos
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Piergiovanni, A. J. Ryoo, Michael S. Indiana Univ Dept Comp Sci Bloomington IN 47408 USA
In this paper, we introduce a challenging new dataset, MLB-YouTube, designed for fine-grained activity detection. The dataset contains two settings: segmented video classification as well as activity detection in cont... 详细信息
来源: 评论
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic Segmentation
Tilted Cross-Entropy (TCE): Promoting Fairness in Semantic S...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Szabo, Attila Jamali-Rad, Hadi Mannava, Siva-Datta Shell Global Solut Int BV Amsterdam Netherlands Delft Univ Technol TU Delft Delft Netherlands
Traditional empirical risk minimization (ERM) for semantic segmentation can disproportionately advantage or disadvantage certain target classes in favor of an (unfair but) improved overall performance. Inspired by the... 详细信息
来源: 评论
Formulating Action recognition as a Ranking Problem
Formulating Action Recognition as a Ranking Problem
收藏 引用
26th ieee conference on computer vision and pattern recognition (cvpr)
作者: Can, Ethem F. Manmatha, R. Univ Massachusetts Sch Comp Sci Amherst MA 01003 USA
Action recognition is one of the major challenges of computer vision. Several approaches have been proposed using different descriptors and multi-class models. In this paper, we focus on binary ranking models for the ... 详细信息
来源: 评论
Importance is in your attention: agent importance prediction for autonomous driving
Importance is in your attention: agent importance prediction...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Hazard, Christopher Bhagat, Akshay Buddharaju, Balarama Raju Liu, Zhongtao Shao, Yunming Lu, Lu Omari, Sammy Cui, Henggang Motional Boston MA 02210 USA
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agents. In this paper, we show that the a... 详细信息
来源: 评论
DEPTH FROM FOCUS WITH ONE IMAGE
DEPTH FROM FOCUS WITH ONE IMAGE
收藏 引用
1994 ieee computer-society conference on computer vision and pattern recognition
作者: JAHNE, B GEISSLER, P UNIV CALIF SAN DIEGO SCRIPPS INST OCEANOGLA JOLLACA 92093
A novel depth-from-focus technique is introduced that needs only a single image. It is based on a precise knowledge of the 3-D point spread function and requires objects of uniform brightness and simple shapes. Using ... 详细信息
来源: 评论
Human Action Adverb recognition: ADHA Dataset and A Three-Stream Hybrid Model  31
Human Action Adverb Recognition: ADHA Dataset and A Three-St...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Pang, Bo Zha, Kaiwen Lu, Cewu Shanghai Jiao Tong Univ Shanghai Peoples R China
We introduce the first benchmark for a new problem - recognizing human action adverbs (HAA): "Adverbs Describing Human Actions" (ADHA). We demonstrate some key features of ADHA: a semantically complete set o... 详细信息
来源: 评论
Multi-output regularized projection
Multi-output regularized projection
收藏 引用
conference on computer vision and pattern recognition
作者: Yu, K Yu, SP Tresp, V Corporate Technology Siemens AG Germany Institute for Computer Science University of Munich Germany
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based on the inputs but also on the target va... 详细信息
来源: 评论
GOOD FEATURES TO TRACK
GOOD FEATURES TO TRACK
收藏 引用
1994 ieee computer-society conference on computer vision and pattern recognition
作者: SHI, JB TOMASI, C CORNELL UNIV DEPT COMP SCIITHACANY 14853
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well an... 详细信息
来源: 评论