WORKSHOP: Doctoral Consortium at the IEEE FG 2017 Conference

研讨会：IEEE FG 2017 会议上的博士联盟

• 批准号: 1733800
• 负责人: Yan Tong
• 金额: $ 1.25万
• 依托单位: University of South Carolina at Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-03-01 至 2018-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1733800&HistoricalAwards=false
• 关键词: WORKSHOP; Doctoral; Consortium; IEEE; FG; WORKSHOP; Doctoral; Consortium; IEEE; FG

This is funding to support a Doctoral Consortium (workshop) of approximately 8 graduate students from U.S. educational institutions, along with unpaid senior members of the research community as mentors, to be held in conjunction with the twelfth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), which will take place May 29-June 3, 2017, in Washington DC. The IEEE FG conferences are the premier international forum for research in image- and video-based face, gesture, and body movement recognition. Their broad scope includes new algorithms for computer vision, pattern recognition, and computer graphics, as well as machine learning techniques relevant to face, gesture and body motion for a variety of applications. The conferences present research that advances the state of the art in these and related areas, leading to new capabilities in interactive systems, biometrics, surveillance, healthcare, and entertainment, and they play an important role in shaping related scientific, academic, and educational programs. More information is available online at http://www.fg2017.org/. The Doctoral Consortium will provide an opportunity for Ph.D. students whose dissertations are on topics related to automatic face and gesture recognition to present their proposed research, and receive constructive feedback from an invited committee of faculty and industry researchers, as well as from other students working in these areas. The event will give students valuable exposure to outside perspectives of their work, and provide a comfortable forum in which to discuss and fine-tune their career objectives with members of the international research community, and identify areas that need further development. The workshop will also enable these young researchers to develop a network of contacts at a critical stage of their careers, and will foster a supportive community of scholars and spirit of collaborative research, which will have broad impact because graduate students who are conducting creative and groundbreaking work are the foundation and future of the community. The organizers will make a particular effort to recruit and include students from underrepresented groups (women and underrepresented minorities) and from smaller schools. The Doctoral Consortium will be a half-day event during the conference. There will be five distinct aspects to the event. Each student participant will be assigned a mentor based upon similarity of research interest and experience, who will discuss the work one-on-one with the student and provide constructive comments and guidance. There will be an oral session in which all participants present their research to the group. And there will also be a Doctoral Consortium poster session during the main conference, which will afford the students an opportunity to present their research to the rest of the community. Extended abstracts (up to 4 pages long) of the students' research will be published online on the FG 2017 website. Finally, students and mentors will all share a working lunch, in which mentors will briefly describe their career paths and student participants will ask the mentors questions about the different career paths. The combination of these five activities will provide an excellent and structured way for students to communicate with other students as well as with established members of their research community.

这是为了支持来自美国教育机构的大约8位研究生的博士联盟（研讨会），以及研究社区的无薪高级成员作为导师，将与12月29日至2017年5月29日至6月3日，2017年5月29日至2017年5月29日至2017年5月29日至2017年5月29日，在华盛顿州举行，将与第十二届IEEE国际面部和手势识别（FG 2017）共同举行。 IEEE FG会议是基于图像和视频的面孔，手势和身体运动识别的主要国际研究论坛。 它们的广泛范围包括用于计算机视觉，模式识别和计算机图形的新算法，以及与面部，手势和身体运动有关的机器学习技术。 会议目前的研究在这些及相关领域的艺术状况提高了研究，从而在交互式系统，生物识别技术，监视，医疗保健和娱乐中获得了新的能力，并且它们在塑造相关的科学，学术和教育计划中起着重要作用。 有关更多信息，请访问http://www.fg2017.org/。 博士联盟将为博士提供机会。与自动面对面和手势认可有关的主题论文的学生可以介绍他们的拟议研究，并从受邀的教职员工和行业研究人员以及在这些领域工作的其他学生那里获得建设性的反馈。 该活动将使学生有价值地接触其作品的外部观点，并提供一个舒适的论坛，在该论坛上，与国际研究界成员讨论和调整他们的职业目标，并确定需要进一步发展的领域。该研讨会还将使这些年轻的研究人员能够在职业生涯的关键阶段建立联系网络，并将培养一个由学者和协作研究精神的支持社区，这将产生广泛的影响，因为从事创造性和开创性工作的研究生是社区的基础和未来。 组织者将做出特别的努力来招募，并包括来自代表性不足的群体（妇女和代表性不足的少数民族）的学生以及来自较小的学校。博士联盟将是会议期间的半天活动。 活动将有五个不同的方面。 每个学生参与者将根据研究兴趣和经验的相似性分配导师，他们将与学生一对一讨论这项工作，并提供建设性的评论和指导。 将有一个口头疗法，所有参与者都会向小组展示他们的研究。 在主要会议期间，还将举行博士联盟海报会议，这将使学生有机会向社区其他成员展示他们的研究。 扩展的摘要（长达4页长）将在FG 2017网站上在线发布。 最后，学生和导师都将共享一份工作的午餐，导师将简要描述他们的职业道路，学生参与者将向导师询问有关不同职业道路的问题。 这五项活动的结合将为学生与其他学生以及研究社区的既定成员交流提供一种绝佳的结构化方式。