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
基本信息
- 批准号:1757858
- 负责人:
- 金额:$ 36.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-05-01 至 2021-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The young and talented minds passing through our colleges and universities today will determine our technological future. To maintain America's previously-held strategic position of command in Science and Engineering, American students need greater encouragement to pursue advanced studies in Science/Technology/Engineering/Mathematics (STEM) disciplines. This Research Experiences for Undergraduates (REU) site aims to encourage more American undergraduates in Computer Science to pursue graduate studies, and to assist them in realizing their full potential as researchers. The investigators believe that the best way to achieve these aims is to immerse capable undergraduates within a successful, active research group for a sufficient duration. This exposes them to the intellectual excitement that is involved in research activity, encourages them to think creatively and independently, and helps them to develop the skills necessary to work on research projects. This project represents renewal of the REU site in Computer Vision, which has operated successfully for the past thirty years. It is important to continue educating the next generation of computing researchers, including a special emphasis on engaging underrepresented members in computing fields and those students attending institutions that do not have substantial research opportunities. Dissemination of the best practices to other institutions remains our site's deep commitment and is achieved by publication in educational venues, and involvement in the REU community.This project has ten undergraduate researchers per year, for three years. Each year, undergraduate researchers participate in a ten week, full-time Summer program, with optional follow-on part-time participation during the subsequent Fall and Spring. The key elements of our approach are (1) a full Summer experience for the undergraduate researchers, providing sufficient time to follow a substantial project through to completion, (2) to present each undergraduate researcher with several possible project topics, so that they can feel they have chosen a project which is most interesting to them, (3) to immerse the undergraduate researchers in the general research environment essentially as if they were graduate students, by having them meet with their faculty advisor regularly to discuss their project, participate in the weekly research group meetings, attend research presentations, PhD defenses and PhD proposal presentation and meet with visiting distinguished researchers, (4) to offer undergraduate researchers an optional follow-through over the year by working with the undergraduate researchers to write a (publishable) technical report on their project, (5) to expose them to the benefits of graduate school through a half-day workshop on Why grad school, How to apply to grad school and fellowships, How to prepare for the standardized entrance exams, (6) to take them for field trips to local technology companies involved in real world applications of computer vision, and (7) to offer them mentoring at social events: group lunches, banquet, picnic, parties, etc. This site has been successful in contributing to educating generations of researchers. It is important to continue educating the next generation of computing researchers, including a special emphasis on engaging underrepresented members in computing fields. Another important emphasis is to provide intensive research experiences for those students attending institutions that do not have substantial research opportunities. Additionally, dissemination of the best practices to other interested institutions remains our site's deep commitment and is achieved by publication in educational venues, and involvement in the REU community.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
今天我们学院和大学里的年轻有才华的人才将决定我们的技术未来。为了维持美国先前在科学与工程领域的战略主导地位,需要更大程度地鼓励美国学生在科学/技术/工程/数学(STEM)学科中继续深造。该本科生研究经验 (REU) 网站旨在鼓励更多计算机科学领域的美国本科生攻读研究生,并帮助他们充分发挥研究人员的潜力。研究人员认为,实现这些目标的最佳方法是让有能力的本科生在一个成功、活跃的研究小组中浸泡足够长的时间。这让他们感受到研究活动所带来的智力兴奋,鼓励他们创造性和独立思考,并帮助他们发展从事研究项目所需的技能。该项目代表了 REU 计算机视觉站点的更新,该站点已成功运行了 30 年。继续教育下一代计算机研究人员非常重要,包括特别强调让计算机领域代表性不足的成员以及就读于没有大量研究机会的机构的学生参与进来。向其他机构传播最佳实践仍然是我们网站的坚定承诺,并通过在教育场所出版以及参与 REU 社区来实现。该项目每年有 10 名本科生研究人员,持续三年。每年,本科生研究人员都会参加为期十周的全日制夏季课程,并可选择在随后的秋季和春季参加后续兼职课程。我们方法的关键要素是(1)为本科研究人员提供完整的暑期体验,提供足够的时间来跟踪一个实质性项目直至完成,(2)向每个本科研究人员展示几个可能的项目主题,以便他们能够感受到他们选择了一个他们最感兴趣的项目,(3)让本科生研究人员像研究生一样沉浸在一般的研究环境中,让他们定期与导师会面讨论他们的项目,参与每周研究小组会议、参加研究报告、博士答辩以及博士提案演示并与来访的杰出研究人员会面,(4) 通过与本科研究人员合作撰写有关其项目的(可发布的)技术报告,为本科研究人员提供一年中可选的后续工作,(5) 让他们接触通过为期半天的研讨会了解研究生院的好处,包括为什么要读研究生院、如何申请研究生院和奖学金、如何准备标准化入学考试,(6) 带他们到参与实际工作的当地科技公司进行实地考察计算机视觉的世界应用,以及 (7)在社交活动中为他们提供指导:集体午餐、宴会、野餐、聚会等。该网站成功地为教育一代又一代的研究人员做出了贡献。继续教育下一代计算研究人员非常重要,包括特别强调让代表性不足的成员参与计算领域。另一个重要的重点是为那些就读于没有大量研究机会的院校的学生提供深入的研究经验。此外,向其他感兴趣的机构传播最佳实践仍然是我们网站的坚定承诺,并通过在教育场所发布以及参与 REU 社区来实现。该奖项反映了 NSF 的法定使命,并通过使用基金会的评估进行评估,被认为值得支持。智力价值和更广泛的影响审查标准。
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:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 项目类别:
Standard Grant
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
- 批准号:
1461121 - 财政年份:2015
- 资助金额:
$ 36.4万 - 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:
$ 36.4万 - 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:
$ 36.4万 - 项目类别:
Standard Grant
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相似海外基金
Collaborative Research: REU Site: Earth and Planetary Science and Astrophysics REU at the American Museum of Natural History in Collaboration with the City University of New York
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2348998 - 财政年份:2025
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$ 36.4万 - 项目类别:
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Collaborative Research: REU Site: Earth and Planetary Science and Astrophysics REU at the American Museum of Natural History in Collaboration with the City University of New York
合作研究:REU 地点:地球与行星科学和天体物理学 REU 与纽约市立大学合作,位于美国自然历史博物馆
- 批准号:
2348999 - 财政年份:2025
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- 批准号:
2348926 - 财政年份:2024
- 资助金额:
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REU 网站:社区学院和文理学院学生物理和天文学夏季研究计划
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