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
• 负责人: Mubarak Shah
• 金额: $ 46.33万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349386&HistoricalAwards=false
• 关键词: REU; Site; Research; Experience; Undergraduates

This is a continuation of a Research Experience for Undergraduates (REU) site in Computer Vision which has operated at the University of Central Florida for the past thirty-six years. Each year, 10 students will participate in a 10-week duration, full-time Summer program, immersed in a nurturing graduate environment. Participants will be trained to begin to conduct research in Computer Vision; in particular, they will learn fundamentals of computer vision, which plays an important role in many areas, including, security, healthcare, defense, commerce and manufacturing. This project will provide opportunities to a diverse group of undergraduates, most from predominantly undergraduate institutions, to spend a summer with a highly successful research group. Participants take the short course, match themselves to a project topic that they most desire, and spend sufficient time in focused research. They then can opt to continue through the year by working with the professors to write research papers on their project, to prepare for the GREs and to apply to graduate programs. Our model for REU will be disseminated among other schools. This project includes development of new computer vision algorithms for solving scientific problems in privacy preserving activity and event recognition, Large Visual Language modeling, foundation computer vision models, image and video geo-localization, video object segmentation, data condensation in videos, and related problems. This involves both theory and practice; we are interested 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. This project will strengthen the following skills in a participant's ability to: write complex computer programs; communicate orally about research problem; think about computer vision issues in real life problems; read and understand key research papers; contribute to discussion of a computer vision problem; and, consider following a pathway towards a graduate career.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.

这是计算机视觉本科生研究体验 (REU) 网站的延续，该网站在过去三十六年中一直在中佛罗里达大学运营。每年，10 名学生将参加为期 10 周的全日制暑期课程，沉浸在培养研究生的环境中。参与者将接受培训，开始进行计算机视觉研究；特别是，他们将学习计算机视觉的基础知识，计算机视觉在安全、医疗保健、国防、商业和制造等许多领域发挥着重要作用。该项目将为不同的本科生群体（大多数来自本科院校）提供机会，与一个非常成功的研究小组一起度过一个夏天。 参与者参加短期课程，将自己与他们最想要的项目主题相匹配，并花足够的时间进行重点研究。然后，他们可以选择继续全年与教授合作，撰写有关其项目的研究论文、准备 GRE 考试并申请研究生课程。 我们的 REU 模型将在其他学校中传播。该项目包括开发新的计算机视觉算法，用于解决隐私保护活动和事件识别中的科学问题、大型视觉语言建模、基础计算机视觉模型、图像和视频地理定位、视频对象分割、视频中的数据压缩以及相关问题。这涉及到理论和实践；我们对困难视觉问题的数学建模和分析以及开发算法感兴趣，同时构建真实的系统以在现实生活中展示这些解决方案。该项目将增强参与者的以下技能： 编写复杂的计算机程序；口头交流研究问题；思考现实生活中的计算机视觉问题；阅读并理解重要的研究论文；为计算机视觉问题的讨论做出贡献；该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。