Group Travel Grant for the Doctoral Consortium of the IEEE Conference on Computer Vision and Pattern Recognition

该项目支持2013年6月在俄勒冈州波特兰举行的IEEE计算机视觉和模式识别会议（CVPR）的博士生联盟。CVPR是首屈一指的年度会议，约有2000名高级和学生参加计算机视觉，在北美举行，并由国际研究界的成员参加。博士联盟的目标是突出高级博士的工作学生，谁是接近完成学位，或最近的毕业生，并给这些学生有机会讨论他们的研究与资深研究人员与他们的专业知识相匹配。NSF支持涵盖选定的美国研究生参加会议的部分费用。这个项目的智力价值在于选择了高质量的博士。学生的研究成果被展示，并由高级研究人员提供反馈。在许多情况下，在本机构内部无法获得来自不同机构、观点可能不同的专家就其研究和职业规划提出咨询意见的机会。该项目更广泛的影响包括支持计算机视觉领域一些最聪明的初级研究人员的职业发展，通过提请人们注意研究生发展的一个重要方面，为研究界做出贡献，并可能增加STEM领域活跃的研究人员和教师的数量。博士联合会活动的目的是从性别，种族背景，学术机构和地理位置方面的不同群体的参与者的代表。

This project supports the Doctoral Consortium held with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Portland, Oregon, in June 2013. CVPR is the premier annual conference with about 2000 senior and student participants in computer vision, held in North America and attended by members of the international research community. The goal of the Doctoral Consortium is to highlight the work of senior Ph.D. students, who are close to finishing their degrees, or recent graduates, and to give these students the opportunity to discuss their research with senior researchers matched with their expertise. NSF support covers some of the costs for the selected US graduate students to attend the conference. The intellectual merit of this project rests in the selection of top-quality Ph.D. students whose research is showcased and to whom feedback is provided by senior researchers. The opportunity to receive advice on their research and career plans from experts from different institutions, and with potentially different perspectives, in many cases is not available internally within one's own institution. The broader impacts of this project include supporting the career development of some of the brightest junior researchers in computer vision, contributing to the research community in general by drawing attention to an important aspect of graduate student development, and potentially increasing the number of active researchers and teachers in STEM. The doctoral consortium event aims to have representation from a diverse group of participants in terms of gender, ethnic background, academic institution and geographic location.