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
• 负责人: Mubarak Shah
• 金额: $ 40.29万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2018-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1461121&HistoricalAwards=false
• 关键词: REU; Site; NSF; Research; Experience

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.

该项目是计算机视觉本科生研究体验网站的延续，该网站在过去二十七年中已在中佛罗里达大学成功运营。多年来，来自全国 65 所院校的约 270 名本科生参加了该项目。 每年，学生将参加为期 12 周的全日制暑期课程。 在过去的几年中，相当一部分参与者能够准备论文提交给经过评审的会议，论文被接受，然后参加会议并展示论文。该计划将培养参与者的以下技能：编写复杂计算机程序的能力；就研究问题进行口头交流的能力；能够通过 PowerPoint 等技术展示自己的项目；能够进行有关项目的海报演示并回答问题；能够在现实生活中思考计算机视觉问题；能够初步阅读计算机视觉研究论文；参与视力问题讨论的能力；以及开始申请研究生院的能力。该研究强调开发新算法来解决视觉地理定位和分割、物体检测、多目标跟踪、活动和事件识别等方面的科学问题。 它推进了理论和实践；对困难的视觉问题进行数学建模和分析并开发算法，同时构建真实的系统以在现实生活中展示这些解决方案。 该网站采用的教育模式包括由教授和研究生组成的团队进行全天候指导；精简的短期课程，让参与者更快地开始他们的研究项目；每天与导师开会，计划全天的活动； MatLab 培训可快速转变研究想法。参与者参加计算机视觉基础知识的短期课程，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。一些可能的研究项目包括：位置感知语义分割；包括社会行为、模型、人类行为识别等在内的多目标跟踪。暑假结束后，学生可以选择全年跟进，与教授合作撰写项目技术报告，为 GRE 做准备，并申请研究生课程。