WORKSHOP: Doctoral Consortium at the IEEE FG 2017 Conference

这是资助支持博士联盟（车间）约8名研究生来自美国教育机构，沿着与研究界的无偿资深成员作为导师，将与第十二届IEEE国际会议自动人脸和手势识别（FG 2017），这将发生在2017年5月29日至6月3日，在华盛顿DC。 IEEE FG会议是研究基于图像和视频的人脸、手势和身体运动识别的首要国际论坛。 其广泛的范围包括计算机视觉，模式识别和计算机图形学的新算法，以及与各种应用中的面部，手势和身体运动相关的机器学习技术。 会议提出的研究，推进在这些和相关领域的最先进的状态，导致在交互式系统，生物识别，监控，医疗保健和娱乐的新功能，他们在塑造相关的科学，学术和教育计划中发挥重要作用。 更多信息请访问http://www.fg2017.org/。 博士联盟将为博士提供机会。学生的论文是关于自动人脸和手势识别的主题，介绍他们提出的研究，并从教师和行业研究人员的邀请委员会，以及从其他学生在这些领域工作的建设性反馈。 该活动将使学生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，与国际研究界的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。该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联系网络，并将培养一个支持性的学者社区和合作研究精神，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。 组织者将作出特别努力，从代表性不足的群体（妇女和代表性不足的少数民族）和较小的学校招收学生。博士生联盟将在会议期间举行半天活动。 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，他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，所有与会者介绍他们的研究小组。 在主要会议期间，还将举行一次博士生联盟海报会议，这将为学生提供一个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（长达4页）将在FG 2017网站上在线发布。 最后，学生和导师将共享工作午餐，导师将简要介绍他们的职业道路，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提供一个优秀的和结构化的方式与其他学生以及与他们的研究社区的既定成员进行沟通。

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.