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

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.

这笔资金将用于支持一个由大约8名来自美国教育机构的研究生组成的博士联盟(研讨会)，以及研究界无偿高级成员作为导师，该联盟将于2017年5月29日至6月3日在华盛顿特区举行第12届IEEE自动人脸和手势识别国际会议(FG 2017)。IEEE FG会议是研究基于图像和视频的人脸、手势和身体动作识别的主要国际论坛。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学的新算法，以及用于各种应用的与面部、手势和身体运动相关的机器学习技术。这些会议展示了推动这些领域和相关领域最先进技术的研究，带来了交互系统、生物识别、监控、医疗保健和娱乐方面的新能力，并在形成相关的科学、学术和教育项目方面发挥了重要作用。欲了解更多信息，请访问http://www.fg2017.org/.。博士联盟将为博士学生提供一个机会，他们的论文主题是与自动人脸和手势识别相关的主题，他们提出了他们的研究建议，并从一个受邀的教师和行业研究人员委员会以及在这些领域工作的其他学生那里获得建设性的反馈。这次活动将让学生们有价值地接触到他们工作的外部视角，并提供一个舒适的论坛，在这个论坛上，他们可以与国际研究界成员讨论和微调他们的职业目标，并确定需要进一步发展的领域。研讨会还将使这些年轻的研究人员在其职业生涯的关键阶段建立一个联系网络，并将培养一个支持性的学者社区和合作研究的精神，这将产生广泛的影响，因为正在进行创造性和开创性工作的研究生是社区的基础和未来。组织者将特别努力招收来自代表不足的群体(妇女和代表不足的少数民族)和较小学校的学生。在会议期间，博士联盟将是为期半天的活动。这次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一名导师，导师将与学生一对一地讨论工作，并提供建设性的意见和指导。将有一个口头会议，所有参与者向小组介绍他们的研究成果。在主会议期间，还将举行博士联盟海报会议，这将为学生提供向社区其他人展示他们的研究的机会。学生研究的扩展摘要(最多4页)将在FG 2017网站上在线发布。最后，学生和导师将共享一份工作午餐，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与他们研究社区的现有成员进行交流提供一种极好的、有条理的方式。