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

该补助金部分支持来自美国机构的20名学生参加2015年IEEE计算机视觉和模式识别会议（CVPR）的博士生联盟。CVPR是计算机视觉领域首屈一指的年度会议，约有2000名高年级、低年级和学生参加。它在北美举行，由国际研究界的成员参加。博士联盟的目标是突出高年级博士生谁是在六个月内获得学位（包括应届毕业生）的工作，并给这些学生一个机会，讨论他们的研究和职业选择与教师和研究人员谁拥有相关的专业知识。美国国家科学基金会的支持涵盖了部分费用，为选定的美国研究生参加会议。该项目的智力价值在于选择高质量的博士生，他们的研究是展示和谁提供反馈的高级研究人员。在自己的机构内部，往往没有机会听取来自不同机构、观点可能不同的专家对自己的研究工作和职业规划的意见。该项目的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，通过提请注意研究生发展的一个重要方面，为研究界做出贡献，可能增加活跃的研究人员和教育工作者的数量在STEM，并确保计算机视觉社区，通过其最近的毕业生，在解决有利于整个社会的问题方面取得了快速进展。博士生联盟的目标是从不同群体的参与者在性别，种族背景，学术机构和地理位置方面的代表。

This grant partially supports the participation of 20 students from US institutions in the Doctoral Consortium at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015. CVPR is the premier annual conference in computer vision with about 2000 senior, junior and student participants. It is 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 PhD students who are within six months of receiving their degrees (including recent graduates), and to give these students an opportunity to discuss their research and career options with faculty and researchers who have relevant expertise. NSF support covers some of the costs for selected US graduate students to attend the conference.The intellectual merit of this project rests in the selection of top-quality PhD students whose research is showcased and to whom feedback is provided by senior researchers. The opportunity to receive advice on their research work and career plans from experts from different institutions, and with potentially different perspectives, is often not available internally at 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, potentially increasing the number of active researchers and educators in STEM, and ensuring that the computer vision community, through its recent graduates, makes fast advances in solving problems that will benefit society as a whole. The Doctoral Consortium aims to have representation from a diverse group of participants in terms of gender, ethnic background, academic institution, and geographic location.