Project Grant FA86552017035

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $1,646,782 in funding to Trustees of Boston University over 5 years to develop a brain-inspired algorithm for complex scene analysis. The key products and services being delivered include: The research integrates three interdisciplinary threads to develop this algorithm: Using brain imaging and machine learning to decode...

This Project Grant award from the National Science Foundation's Integrative Activities (CFDA 47.083) program provides $239,431 to Auburn University to explore how events are structured in multimodal data and how they can be leveraged to design better, embodied AI agents that can construct and utilize compositional event representations to function in complex, real-world environments. The research aims to: 1) Learn the partonomy (hierarchical structure) of common events using Bayesian rose...

The University of Virginia received a $280,754 project grant award from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop a spatiotemporal transformer for activity recognition in video. The University will design computing methods to automatically derive relationships between people and objects in digital video and exploit those correlations to classify human actions. Specifically, the University aims to...

This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...

This two-year project grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $174,368 to develop accurate and real-time 3D hand and full-body pose estimation technologies. The University of Texas at San Antonio will generate a novel synthetic hand dataset and algorithms using an advanced data generation framework, advancing research in 3D hand pose estimation, 3D body...

This four-year, $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for 3D scene understanding. Specifically, the Stanford University researchers will explore implicit neural representations to model scene structure and details from raw images and videos. They will integrate findings into course development and partner with organizations to teach artificial intelligence, computer vision, and...

This three-year project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $149,572 to George Mason University to develop a generalizable motion field estimator using neural networks. The goal is to enhance computer vision tasks in long-range imaging, where input images lack stereo information and turbulence introduces motion artifacts that deteriorate performance. The university will pursue three research thrusts. The...

This three-year, $402,690 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund research at Virginia Polytechnic Institute and State University exploring brain-inspired computer architecture approaches. Specifically, the university will conduct experiments demonstrating problems that can be solved through multiple algorithmic solutions with varying...

This four-year, $400,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems supports research at the Massachusetts Institute of Technology under the Computer and Information Science and Engineering program. The grant funds the development of new techniques for composing implicit representations to enable machines to perceive and reconstruct 3D scenes in a more generalizable manner. Investigators will explore methods to make representations...

This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $418,127 to Rensselaer Polytechnic Institute. The funding will support research investigating how people visually guide movement to satisfy goals over multiple time horizons through complex navigation tasks. Researchers will study human steering and gaze strategies using a custom virtual...