IGERT: Complex Scene Perception

IGERT：复杂场景感知

• 批准号: 0966142
• 负责人: Kostas Daniilidis
• 金额: $ 269.76万
• 依托单位: University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0966142&HistoricalAwards=false
• 关键词: IGERT; Complex; Scene; Perception

This Integrative Graduate Education and Research Training (IGERT) award to the University of Pennsylvania supports the development of a new training paradigm for perception scientists and engineers, and is designed to provide them with a unique grasp of the computational and psychophysical underpinnings of the phenomena of perception. It will create a new role model of a well-rounded perceptual scientist with a firm grasp of both computational and experimental analytic skills. The existence of such a cadre of U.S. researchers will contribute to the country's global competitiveness in the growing machine perception and robotics industry.Research and training activities are organized around five thematic areas related to complex scene perception: (1) Spatial perception and navigation; (2) Perception of material and terrain properties; (3) Neural responses to natural signals, saliency and attention; (4) Object Recognition in context and visual memory; and (5) Agile Perception. Interdisciplinary research will enable new insights into the astounding performance of human and animal perception as well as the design of new algorithms that will make robots perceive and act in complex scenes.IGERT trainees will commit in advance of acceptance to a five-year graduate training program, comprising the following components: (1) Core disciplinary training; (2) one-year cross-disciplinary training in a chosen second discipline; (3) participation in two foundational and one integrational IGERT courses; (4) attendance of an interdisciplinary IGERT seminar; (5) co-advising throughout the 5 graduate years by an interdisciplinary faculty team ; and (6) completion of the Ph.D. dissertation.IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries.

宾夕法尼亚大学的这项综合研究生教育和研究培训（IGERT）颁发了对感知科学家和工程师的新培训范式的开发，旨在为他们提供对感知现象的计算和心理物理基础的独特掌握。它将创建一个全面的知觉科学家的新榜样，并牢固地掌握了计算和实验性分析技能。这样的美国研究人员的存在将有助于该国在不断增长的机器人感知和机器人行业中的全球竞争力。研究和培训活动围绕与复杂场景感知有关的五个主题领域组织：（1）空间感知和导航； （2）对材料和地形特性的感知； （3）对自然信号，显着性和注意力的神经反应； （4）上下文和视觉记忆中的对象识别； （5）敏捷感。跨学科研究将使人类和动物感知令人惊讶的表现以及新算法的设计新见解，这些算法将使机器人感知并在复杂的场景中行动。Igert训练者将在接受五年的研究生培训计划之前承诺，包括以下成分：（1）核心纪律培训； （2）在选定的第二学科中为期一年的跨学科培训； （3）参加两个基础和一个集成IGERT课程； （4）跨学科IGERT研讨会的出席； （5）由跨学科教师团队在整个5年级的毕业生中共同努力； （6）博士学位的完成论文。Igert是一项NSF范围内的计划，旨在应对教育美国博士学位的挑战。具有跨学科背景的科学家和工程师，所选学科的深刻知识以及未来职业需求所需的技术，专业和个人技能。该计划旨在通过在肥沃的环境中建立创新的研究生教育和培训的新模型来促进研究生教育的文化变革，以超越传统学科界限的合作研究。