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

该基金部分支持来自美国机构的20名博士生参加2015年IEEE计算机视觉与模式识别会议（CVPR）。CVPR是计算机视觉领域首屈一指的年度会议，大约有2000名高年级、初中和学生参加。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在六个月内获得学位的高级博士生（包括应届毕业生）的工作，并为这些学生提供与具有相关专业知识的教师和研究人员讨论他们的研究和职业选择的机会。美国国家科学基金会的支持涵盖了一些选定的美国研究生参加会议的费用。这个项目的智力价值在于选择高质量的博士生，他们的研究得到展示，并由高级研究人员提供反馈。有机会从不同机构的专家那里获得关于他们的研究工作和职业规划的建议，并且可能有不同的观点，这在一个人自己的机构内部通常是不可能的。该项目的更广泛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，通过引起对研究生发展的一个重要方面的关注，为整个研究界做出贡献，潜在地增加STEM领域活跃的研究人员和教育工作者的数量，并确保计算机视觉社区通过其最近的毕业生，在解决造福全社会的问题方面取得快速进展。博士联盟的目标是在性别、种族背景、学术机构和地理位置方面拥有来自不同群体的代表。

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.