REU Site: NSF Research Experience for Undergraduates in Computer Vision

REU 网站:NSF 计算机视觉本科生研究经验

基本信息

项目摘要

This project represents a continuation of a Research Experience for Undergraduates site in Computer Vision which has operated successfully at the University of Central Florida for the past twenty-seven years. Approximately two hundred and seventy undergraduate students from sixty five institutions all over the country have participated in this program over the years. Each year, students will participate in a 12-week duration full-time Summer program. In past years, a substantial fraction of participants have been able to prepare a paper for submission to a refereed conference, have the paper accepted and then attend the conference to present the paper. The program will build these skills in participants: ability to write complex computer programs; ability to communicate orally about a research problem; ability to present one's project via technology such as PowerPoint; ability to do a poster presentation about the project, and answer questions; ability to think about computer vision issues in real life problems; ability to do initial reading of a research paper in computer vision; ability to contribute to discussion of a vision problem; and ability to embark on applying to graduate school. The research emphasizes development of new algorithms for solving scientific problems in visual geo-localization and segmentation, object detection, multi-target tracking, activity and event recognition. It advances both theory and practice; in mathematical modeling and analysis of difficult vision problems and developing algorithms, while at the same time building real systems for demonstrating those solutions in real life situations. The educational model employed by this site includes round-the-clock mentoring by a team that includes a professor and a graduate student; a streamlined short course that lets participants start their research projects sooner; daily meetings with mentors to plan activities throughout the day; training in MatLab for quick turnaround of research ideas. Participants take the short course on fundamentals of computer vision, match themselves to a project topic that they most desire, and spend sufficient time in focused research. Some possible research projects include: Location-Aware Semantic Segmentation; Multi-target Tracking with Social Behavior, Model, Human Action Recognition etc. After summer, students then can opt for follow-through over the year by working with the professors to write a technical report on their project, to prepare for the GREs and to apply to graduate programs.
该项目代表了计算机愿景中本科生网站的研究经验的延续,该网站在过去二十七年中在佛罗里达州中部成功运作。多年来,来自全国65个机构的大约七十名本科生参加了该计划。 每年,学生将参加一个为期12周的全日制夏季计划。 在过去的几年中,很大一部分参与者能够准备一篇论文以提交被裁判会议,接受论文,然后参加会议发表论文。该计划将在参与者中建立这些技能:编写复杂的计算机程序的能力;口头交流研究问题的能力;能够通过PowerPoint等技术提出项目;能够对项目进行海报演讲并回答问题;能够思考现实生活问题中的计算机视觉问题;能够在计算机视觉中对研究论文进行初步阅读;有助于讨论视力问题;以及能够申请研究生院的能力。这项研究强调了新算法的开发,以解决视觉地理位置和分割,对象检测,多目标跟踪,活动和事件识别方面的科学问题。 它在理论和实践上都提高了;在数学建模和分析困难的视力问题和开发算法的过程中,同时构建在现实生活中展示这些解决方案的真实系统。 该网站采用的教育模式包括包括教授和研究生在内的团队的全天候指导;简化的短期课程使参与者可以尽快开始研究项目;与导师的日常会议全天计划活动;在MATLAB中进行培训,以便快速研究研究思想。参与者参加了有关计算机视觉基础的简短课程,将自己与他们最想要的项目主题相匹配,并花费足够的时间进行集中研究。一些可能的研究项目包括:位置感知的语义细分;通过社会行为,模型,人类行动识别等多目标跟踪。夏季,学生可以通过与教授一起为他们的项目编写技术报告,为GRES做准备并申请研究生课程,从而选择一年中的后续活动。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Mubarak Shah其他文献

CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes
CodaMal:低成本显微镜中疟疾检测的对比域适应
  • DOI:
    10.48550/arxiv.2402.10478
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    I. Dave;Tristan de Blegiers;Chen Chen;Mubarak Shah
  • 通讯作者:
    Mubarak Shah
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
Lung-CADex:胸部 CT 图像中肺结节的全自动零样本检测和分类
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Furqan Shaukat;Syed Muhammad Anwar;Abhijeet Parida;Van Lam;M. Linguraru;Mubarak Shah
  • 通讯作者:
    Mubarak Shah
SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting
SRI-Sarnoff AURORA 系统参加 TRECVID 2013 多媒体事件检测和重算
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jingen Liu;Hui Cheng;O. Javed;Qian Yu;Ishani Chakraborty;Weiyu Zhang;Ajay Divakaran;H. Sawhney;James Allan;R. Manmatha;John Foley;Mubarak Shah;Afshin Dehghan;Michael Witbrock;Jon Curtis;Gerald Friedland
  • 通讯作者:
    Gerald Friedland
Supervised Learning via Conditional Sampling with Energy-Based Models
通过条件采样和基于能量的模型进行监督学习
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Dr Katherine Abreu;Dr Mitchell Hill;Mubarak Shah
  • 通讯作者:
    Mubarak Shah
Machine Vision and Applications Understanding Human Behavior from Motion Imagery
机器视觉和应用从运动图像理解人类行为
  • DOI:
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mubarak Shah
  • 通讯作者:
    Mubarak Shah

Mubarak Shah的其他文献

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{{ truncateString('Mubarak Shah', 18)}}的其他基金

REU Site: Research Experience for Undergraduates in Computer Vision
REU 网站:计算机视觉本科生的研究经验
  • 批准号:
    2349386
  • 财政年份:
    2024
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
Scholarships, Academic, and Social Supports to Provide Low-Income Transfers Students Opportunities for Nurtured Growth in AI
奖学金、学术和社会支持为低收入转学生提供促进人工智能发展的机会
  • 批准号:
    2321986
  • 财政年份:
    2024
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Continuing Grant
REU Site: Research Experience for Undergraduates in Computer Vision
REU 网站:计算机视觉本科生的研究经验
  • 批准号:
    2050731
  • 财政年份:
    2021
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
CRI: II-New: Cognitive Mechanisms and Computational Modeling of Gaze Control During Scene Free Viewing, Visual Search, and Daily Tasks
CRI:II-新:场景自由观看、视觉搜索和日常任务期间注视控制的认知机制和计算模型
  • 批准号:
    1823276
  • 财政年份:
    2018
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
STEM TRansfer Students Opportunity for Nurtured Growth (STRONG)
STEM 转学生提供培育成长的机会(强)
  • 批准号:
    1742424
  • 财政年份:
    2018
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
REU Site: Research Experience for Undergraduates in Computer Vision
REU 网站:计算机视觉本科生的研究经验
  • 批准号:
    1757858
  • 财政年份:
    2018
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
BIGDATA: IA: Distributed Semi-Supervised Training of Deep Models and Its Applications in Video Understanding
BIGDATA:IA:深度模型的分布式半监督训练及其在视频理解中的应用
  • 批准号:
    1741431
  • 财政年份:
    2017
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
RET Site: Research Experiences for Teachers in Computer Vision and Bio-Medical Imaging
RET 网站:计算机视觉和生物医学成像教师的研究经验
  • 批准号:
    1542439
  • 财政年份:
    2016
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
REU Site: Research Experience for Undergraduates in Computer Vision
REU 网站:计算机视觉本科生的研究经验
  • 批准号:
    1156990
  • 财政年份:
    2012
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant
Students Actualizing Talent at Education?s Subsequent Stages (STATESS)
学生在教育后续阶段实现才能(STATESS)
  • 批准号:
    0966249
  • 财政年份:
    2010
  • 资助金额:
    $ 40.29万
  • 项目类别:
    Standard Grant

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NSF REU 网站:社会不平等和社会问题研究
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REU 网站:CSHL NSF-REU 生物信息学和计算神经科学暑期本科项目
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