咨询与建议

限定检索结果

文献类型

  • 439 篇 会议
  • 205 篇 期刊文献

馆藏范围

  • 644 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 322 篇 工学
    • 211 篇 计算机科学与技术...
    • 186 篇 软件工程
    • 101 篇 控制科学与工程
    • 76 篇 光学工程
    • 66 篇 信息与通信工程
    • 52 篇 生物工程
    • 43 篇 机械工程
    • 31 篇 生物医学工程(可授...
    • 30 篇 电气工程
    • 30 篇 电子科学与技术(可...
    • 25 篇 交通运输工程
    • 22 篇 仪器科学与技术
    • 17 篇 土木工程
    • 13 篇 安全科学与工程
    • 12 篇 动力工程及工程热...
    • 12 篇 建筑学
    • 11 篇 化学工程与技术
    • 8 篇 力学(可授工学、理...
  • 167 篇 理学
    • 74 篇 物理学
    • 63 篇 数学
    • 53 篇 生物学
    • 27 篇 统计学(可授理学、...
    • 12 篇 化学
    • 9 篇 系统科学
  • 61 篇 管理学
    • 39 篇 管理科学与工程(可...
    • 28 篇 图书情报与档案管...
    • 16 篇 工商管理
  • 24 篇 医学
    • 23 篇 临床医学
    • 19 篇 基础医学(可授医学...
    • 14 篇 药学(可授医学、理...
  • 8 篇 农学
  • 6 篇 法学
  • 4 篇 经济学
  • 4 篇 教育学
  • 1 篇 哲学
  • 1 篇 文学
  • 1 篇 军事学
  • 1 篇 艺术学

主题

  • 125 篇 computer vision
  • 105 篇 robot vision sys...
  • 80 篇 cameras
  • 68 篇 laboratories
  • 56 篇 intelligent robo...
  • 50 篇 robot sensing sy...
  • 42 篇 layout
  • 41 篇 robustness
  • 36 篇 humans
  • 28 篇 object detection
  • 26 篇 mobile robots
  • 25 篇 robotics and aut...
  • 24 篇 feature extracti...
  • 24 篇 robot kinematics
  • 22 篇 vehicle detectio...
  • 22 篇 navigation
  • 22 篇 shape
  • 21 篇 vehicles
  • 20 篇 computer science
  • 20 篇 machine vision

机构

  • 28 篇 computer vision ...
  • 22 篇 university of ch...
  • 21 篇 shenzhen institu...
  • 20 篇 artificial intel...
  • 17 篇 institutes for r...
  • 16 篇 computer vision ...
  • 16 篇 national enginee...
  • 16 篇 shenzhen key lab...
  • 15 篇 embedded vision ...
  • 13 篇 computer vision ...
  • 13 篇 guangdong key la...
  • 12 篇 computer vision ...
  • 12 篇 shenyang institu...
  • 10 篇 computer vision ...
  • 9 篇 department of el...
  • 7 篇 key laboratory o...
  • 7 篇 embedded vision ...
  • 7 篇 computer vision ...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...

作者

  • 56 篇 m.m. trivedi
  • 32 篇 shen linlin
  • 30 篇 kryjak tomasz
  • 23 篇 n.p. papanikolop...
  • 20 篇 mohan m. trivedi
  • 19 篇 in so kweon
  • 17 篇 trivedi mohan m.
  • 17 篇 douglas g. macha...
  • 16 篇 zhang hong
  • 13 篇 c.e. smith
  • 12 篇 xie weicheng
  • 10 篇 j.c. mccall
  • 10 篇 hong zhang
  • 9 篇 kweon in so
  • 9 篇 linlin shen
  • 8 篇 tang chao
  • 8 篇 m. trivedi
  • 8 篇 lyons damian m.
  • 8 篇 song siyang
  • 8 篇 szolc hubert

语言

  • 622 篇 英文
  • 21 篇 其他
  • 1 篇 中文
检索条件"机构=Computer Vision and Robotics Laboratory"
644 条 记 录,以下是171-180 订阅
排序:
Video Based Surround Vehicle Detection, Classification and Logging from Moving Platforms: Issues and Approaches
Video Based Surround Vehicle Detection, Classification and L...
收藏 引用
IEEE Symposium on Intelligent Vehicle
作者: Tarak Gandhi Mohan M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA
This paper discusses the issues and approaches involved in developing a mobile vehicle-mounted system to detect, classify, and log the surrounding vehicles in a database for efficient query-based retrieval. This syste... 详细信息
来源: 评论
Multimodal Stereo Image Registration for Pedestrian Detection
Multimodal Stereo Image Registration for Pedestrian Detectio...
收藏 引用
International Conference on Intelligent Transportation
作者: S. Krotosky M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA
This paper presents an approach for the registration of multimodal imagery for pedestrian detection when the significant depth differences of objects in the scene preclude a global alignment assumption. Using maximiza... 详细信息
来源: 评论
Facial Action Coding Using Multiple Visual Cues and a Hierarchy of Particle Filters
Facial Action Coding Using Multiple Visual Cues and a Hierar...
收藏 引用
IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)
作者: J.C. McCall M.M. Trivedi Computer Vision and Robotics Research Laboratory University of California San Diego USA
In this paper we present a framework for tracking nonrigid facial landmarks by combining various visual cues at multiple levels of detail. Using a probabilistic framework consisting of a hierarchy of particle filters,... 详细信息
来源: 评论
Biomimetic Centering for Undulatory Robots
Biomimetic Centering for Undulatory Robots
收藏 引用
IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)
作者: M. Sfakiotakis D.P. Tsakiris A. Vlaikidis Computational Vision and Robotics Laboratory Institute of Computer Science FORTH Heraklion Greece
Substantial work exists in the undulatory robotics literature on the mechanical design, modeling, gait generation and implementation of robotic prototypes. However, there appears to have been relatively limited work o... 详细信息
来源: 评论
Motion and depth perception using spatiotemporal frequency analysis
Motion and depth perception using spatiotemporal frequency a...
收藏 引用
IEEE International Conference on Systems, Man and Cybernetics
作者: G. Ravichandran M.M. Trivedi Electrical and Computer Engineering Department Computer Vision and Robrics Research Laboratory Computer Vision and Robotics Laboratary University of Tennessee Knoxville TN USA
Motion information is extracted by identifying the temporal signature associated with the textured objects in the scene. In this paper, we present a new computational framework for motion perception. Our methodology c... 详细信息
来源: 评论
Thermal Image Enhancement using Convolutional Neural Network
Thermal Image Enhancement using Convolutional Neural Network
收藏 引用
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yukyung Choi Namil Kim Soonmin Hwang In So Kweon Dep. of EE Robotics and Computer Vision (RCV) Laboratory Daejeon Korea
With the advent of commodity autonomous mobiles, it is becoming increasingly prevalent to recognize under extreme conditions such as night, erratic illumination conditions. This need has caused the approaches using mu... 详细信息
来源: 评论
An orientation assignment heuristic to the dubins traveling salesman problem
Lecture Notes in Computer Science (including subseries Lectu...
收藏 引用
Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8864卷 457-468页
作者: Macharet, Douglas G. Campos, Mario F.M. Computer Vision and Robotics Laboratory Computer Science Department Universidade Federal de Minas Gerais Belo HorizonteMG Brazil
In this paper we deal with the DTSP, which is the optimization problem where a path that goes through a set of two-dimensional points must be calculated considering the use of robots modeled as Dubins vehicles. Assumi... 详细信息
来源: 评论
Activation Template Matching Loss for Explainable Face Recognition  17
Activation Template Matching Loss for Explainable Face Recog...
收藏 引用
17th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2023
作者: Lin, Huawei Liu, Haozhe Li, Qiufu Shen, Linlin Computer Vision Institute School of Computer Science and Softwre Enginnering Shenzhen University Shenzhen China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen China
Can we construct an explainable face recognition network able to learn a facial part-based feature like eyes, nose, mouth and so forth, without any manual annotation or additionalsion datasets? In this paper, we propo... 详细信息
来源: 评论
Sharing landmark information using mixture of Gaussian terrain spatiograms
Sharing landmark information using mixture of Gaussian terra...
收藏 引用
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Damian M. Lyons Robotics & Computer Vision Laboratory Computer and Information Science Department Fordham University Bronx NY USA
In this paper we evaluate the use of a novel spatial histogram, the terrain spatiogram, as a common representation for exchanging landmark information between robots working as a team to map an area. Individual robots... 详细信息
来源: 评论
Learning to infer the depth map of a hand from its color image
arXiv
收藏 引用
arXiv 2018年
作者: Nicodemou, Vassilis C. Oikonomidis, Iason Tzimiropoulos, Georgios Argyros, Antonis Computational Vision and Robotics Laboratory Institute of Computer Science FORTH Greece Computer Science Department University of Crete Greece Computer Vision Laboratory University of Nottingham United Kingdom
We propose the first approach to the problem of inferring the depth map of a human hand based on a single RGB image. We achieve this with a Convolutional Neural Network (CNN) that employs a stacked hourglass model as ... 详细信息
来源: 评论