Project Grant 2232299
- 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...
- The Johns Hopkins University received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on March 15, 2021 to support research titled "CAREER: SEEING THROUGH ATMOSPHERIC TURBULENCE: IMAGE RESTORATION AND UNDERSTANDING USING DEEP CONVOLUTIONAL NEURAL NETWORKS." The research is funded through the NSF's Engineering program (CFDA #47.041), which aims to improve quality of life and economic strength through...
- CAREER: Vision Systems for an Evolving World The National Science Foundation's Division of Information and Intelligent Systems awarded the University of California, Irvine a $412,579 Project Grant on January 15, 2026, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to develop resilient computer vision systems capable of adapting to changing visual environments. The project will deliver three primary research products: (1) model design and learning...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant to Arizona State University under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on January 1, 2024. The grant supports a 3-year collaborative research project to develop novel hardware platforms and algorithms for fusing optical and ultrasonic sensors to enhance computer vision and computational imaging capabilities. The key products and services to be delivered include: New rendering...
- This $600,000 project grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, will support research to develop a new Bayesian diffusion model framework for advanced visual perception and cognition systems. The University of California, San Diego (UCSD) will serve as the primary awardee, with the goal of revisiting the analysis-by-synthesis methodology by integrating generative priors into the learning and inference...
- This $600,000 Project Grant, awarded August 1, 2025, by the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), supports research and development of weak 3D camera systems at the University of Wisconsin–Madison through July 31, 2028. The project will deliver advanced vision systems designed to capture simplified geometric representations of environments sufficient for fast...
- This $1,200,000 Project Grant was awarded on August 15, 2023 by the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research at The Pennsylvania State University (Penn State) to develop computer vision algorithms that can accurately estimate biomechanical data like body pose, motion, and forces from video data alone. This will enable the observation of human...
- This two-year, $255,000 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will support the development of a new remote sensing technique for measuring seismic waves at Michigan Technological University. The researchers will enhance the Moiré technique, which images patterns from differential motion between grids, by placing one grid on a remote location using an unmanned aerial vehicle and the other within a base telescope. This will enable measurement of...
- 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 $580,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems will fund research to develop more biologically realistic computational models of the primate visual system. Awarded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant supports work at the University of California, San Diego from September 15, 2022 to August 31, 2025. The research aims to incorporate key features of human vision missing from...
This National Science Foundation Project Grant under the Computer and Information Science and Engineering program ($149,995) supports research at Arizona State University from April 2023 through March 2026 to develop a generalizable motion field estimator using neural networks for enhanced long-range imaging computer vision applications. The award aims to address deteriorated performance of data-driven computer vision approaches when images are captured from long distances, such as with unmanned aerial vehicles, satellites, and reconnaissance cameras. By decoupling object and turbulence-induced motion fields and reconstructing turbulence strength and flows from passive visual imagery, the research seeks to enable applications of computer vision systems at long distances and in turbulent environments including object tracking and detection. It further seeks to integrate estimated turbulence motion fields to benefit long-range computer vision tasks.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $150.0k | 3/15/23 |