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

这笔助学金部分支持来自美国机构的学生参加2016年IEEE计算机视觉与模式识别(CVPR)会议的博士联盟。CVPR是计算机视觉领域首屈一指的年度国际会议，约有2000名高年级、低年级和学生参加。博士联盟的目标是强调获得学位后六个月内的高级博士生(包括新近毕业的学生)的工作，并让这些学生有机会与拥有相关专业知识和经验的教职员工讨论他们的研究和职业选择。博士联盟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，通过引起人们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的活跃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，在解决问题方面取得快速进展。NSF的支持包括20名选定的美国研究生参加CVPR 2016会议和与之相关的博士联盟的部分费用。差旅支持的参与者和接受者由2016 CVPR组委会挑选，后勤由PI管理。博士联盟为研究生提供机会，让他们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，这些建议可能具有不同的观点，但在自己的机构内部往往是无法获得的。今年的博士联盟有两个新的组成部分，旨在解决去年参与者的评论。这些部分是小组讨论和与导师的更多互动。博士联盟帮助计算机视觉应届毕业生为自己的才华找到最好的职业选择，实现自己的潜力，从而造福于计算机视觉领域和整个社会。

This grant partially supports the participation of students from US institutions in the Doctoral Consortium at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016. CVPR is the premier annual international conference in computer vision with about 2000 senior, junior, and student participants. 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 and experience. The Doctoral Consortium supports the career development of some of the brightest junior researchers in computer vision, contributes to the research community in general by drawing attention to an important aspect of graduate student development, potentially increases the number of active researchers and educators in STEM, and ensures that the computer vision community, through its recent graduates, makes fast advances in solving problems. NSF support covers some of the costs for 20 selected US-based graduate students to attend the CVPR 2016 conference and the Doctoral Consortium associated with it. Participants and recipients of travel support are selected by the 2016 CVPR organizing committee, with the logistics managed by the PI. The Doctoral Consortium provides opportunities for graduate students 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. This year's Doctoral Consortium features two new components which aim to address comments from last year's participants. These components are a panel discussion and more interaction with mentors. The Doctoral Consortium helps graduating students in computer vision find the best career options for their talents and achieve their potential, thus benefiting the computer vision field and society as a whole.