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.

宾夕法尼亚大学的综合研究生教育和研究培训（IGERT）奖支持为感知科学家和工程师开发新的培训范式，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把握。它将创造一个全面的感知科学家与计算和实验分析技能的坚定把握新的榜样。这批美国研究人员的存在将有助于提高美国在日益增长的机器感知和机器人产业中的全球竞争力。研究和培训活动围绕与复杂场景感知相关的五个主题领域组织：（1）空间感知和导航;（2）材料和地形属性感知;（3）对自然信号的神经反应，显着性和注意力;（4）对自然信号的神经反应，显着性和注意力。（4）背景和视觉记忆中的物体识别;（5）敏捷感知。跨学科研究将使我们对人类和动物感知的惊人表现有新的见解，并设计新的算法，使机器人能够在复杂的场景中感知和行动。IGERT学员将在接受之前承诺接受为期五年的研究生培训计划，包括以下内容：（1）核心学科培训;（2）为期一年的选定第二学科的跨学科培训;（3）为期一年的跨学科培训;（4）为期一年的跨学科培训。（3）参加两个基础和一个综合IGERT课程;（4）参加跨学科IGERT研讨会;（5）跨学科教师团队在整个5个研究生年度共同提供咨询;以及（6）完成博士学位。IGERT是一个NSF范围内的计划，旨在满足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，在所选学科的深厚知识，以及未来职业需求所需的技术，专业和个人技能。该计划旨在通过建立创新的研究生教育和培训新模式，在超越传统学科界限的合作研究的肥沃环境中促进研究生教育的文化变革。