Project Grant 2238180
Award Date
4/1/23
Completion Date
3/31/26
Dollars Obligated
$281K
Federal Agency
Division of Behavioral and Cognitive Sciences
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Rochester, NY 14623, USA
Similar Awards
This three-year, $287,219 National Science Foundation project grant supports research at The Ohio State University to advance understanding of human visual perception of three-dimensional object shape from patterns of image shading and contours. Led by researchers in the university's Office of Sponsored Programs, the project aims to study how the human visual system processes and interprets information about the three-dimensional properties of objects. It will incorporate optical effects such as...
This $299,964 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enhance computer vision and shape recognition capabilities. The primary institution, The Research Foundation for the State University of New York doing business as Stony Brook University, will develop novel deep learning and graph-based frameworks to teach computers to better perceive and understand the shape configuration and...
The National Science Foundation Office of Integrative Activities awarded North Carolina Agricultural and Technical State University a $373,588 Project Grant under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) to support research titled "Excellence in Research: Predicting Computations that Lead to a Stable Perception of Object Lightness under Spectral Variabilities of the Visual Scene." The three-year award beginning August 1, 2021 will fund...
The University of Rochester received a two-year $162,118 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the agency's Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant funds collaborative research on active vision during natural behavior beyond initial perceptions. The project aims to advance understanding of how the visual system dynamically interacts with behavior in real-world settings. The research is performed...
The National Science Foundation (NSF) awarded a Project Grant of $599,649 to Carnegie Mellon University (CMU) under the Computer and Information Science and Engineering (CFDA 47.070) program. The goal of this 3-year project, which commenced on April 15, 2024, is to develop perception systems that can infer the 3D structure of generic objects or scenes from 2D images, even with partial observations. Key technical efforts will include formulating mechanisms for learning novel 3D generative...
This $283,832 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to better understand human visual perception and its potential applications in AI systems. The project, titled "COMPCOG: Generating Object Percepts in Peripheral Vision During Naturalistic Attention Tasks," aims to investigate how AI models can generate plausible visual scenes in real-time using limited input data, similar to...
This three-year $476,113 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research at Northeastern University to advance understanding of human color vision processes. The grantee will employ novel psychophysical methods to measure behavioral responses triggered by color within the first fraction of a second of visual stimulus, and explore how those responses change over time across a range of colors, contrasts and...
This $348,956 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will fund research by Carnegie Mellon University (CMU) to develop advanced perception systems capable of understanding the 3D structure and actionable properties of the physical world. The project aims to bridge the gap between current computer vision techniques and human-level understanding of 3D environments and object...
This federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) is focused on deciphering and applying brain algorithms for 3D object perception in biological and artificial vision systems. The $409,375 award, with a period of performance from August 1, 2024 to July 31, 2029, will support collaborative research between the Yuille Lab and the Connor Lab to: Use artificial vision networks to replicate the 3D shape tuning functions of...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports fundamental research at the Rochester Institute of Technology (RIT) to develop new robotic manipulation capabilities for safely and reliably handling fragile objects. The research aims to establish an understanding of the synergy between vision and touch sensing, and to create a control method based on object properties that can optimize robotic manipulation for a variety...