Project Grant 2533868
- This National Science Foundation (NSF) Division of Information and Intelligent Systems (CFDA #47.070) $1,034,326 Project Grant awarded to Brown University supports collaborative research to bridge the semantic-metric gap in multinocular 3D vision systems. The project aims to address key technical challenges in 3D computer vision, such as handling blurry/textureless images, leveraging redundant image data, and connecting geometric point clouds to semantic scene representations. The research...
- 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 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $348,956 to Carnegie Mellon University to develop advanced perception systems that can understand the 3D structure of the world and the effects of actions within it. The goal is to bridge the gap between computer vision systems that can reconstruct 3D information from visual input and systems that can also reason about actions and...
- This $599,945.00 Project Grant was awarded on June 15, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant will support Clemson University's research to develop a 3D computer vision framework that fuses multiple sensing modalities, including cameras, depth sensors, LiDAR, and event cameras. The goal is to enhance feature extraction, tracking, and large-scale scene reconstruction to...
- The National Science Foundation awarded a $500,000 Project Grant to the University of California, San Diego under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support the "PANOPTIC 3D PARSING IN THE WILD" research project. The three-year award, which runs from October 1, 2021 through September 30, 2024, will fund the development of technologies to enable panoptic 3D scene parsing using computer vision techniques for unconstrained images in...
- This $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at New York University to develop efficient computer systems for augmented and virtual reality through a perception-guided approach. Specifically, the researchers will design software-hardware mechanisms to quantitatively model human visual perception and leverage those models across system stacks to achieve an order of magnitude gain in...
- 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 Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $1,000,000 to the University of Wisconsin System for a project titled "Utilizing Emerging Technologies to Support Aging in Place". The project aims to develop new methods for efficient, accurate, and affordable home assessments using 3D sensing, augmented reality, and machine learning. This will enable older adults and people with disabilities to...
- This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of California, San Diego (UCSD) to develop theoretical frameworks and computational methods for reconstructing complex 3D shapes using neural implicit representations. The key objectives are to enable the reconstruction of 3D shapes with intricate topologies, such as objects with holes, and to allow...
- This $150,000 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop and deploy low-cost, battery-powered smart cameras to democratize urban mobility data acquisition, especially in underserved communities. The research will focus on creating new control and perception algorithms to efficiently operate these smart cameras within battery and computational constraints. Key project elements...
This Project Grant award of $600,000.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research on a new class of "weak 3D cameras" that can efficiently capture simplified geometric representations of environments for real-time applications. The project aims to develop compact, low-power 3D vision systems that can reliably operate in challenging real-world conditions, leveraging new geometric representations like inertial safety maps and blocks world sets. The research seeks to enhance these systems with additional low-cost sensors and modern priors/world models to improve performance, while also extending their capabilities beyond static geometry to understand motion and semantics. The goal is to enable fast, affordable 3D perception on compact platforms for use in robotics, augmented reality, and other embedded vision applications. The award is effective from August 1, 2025 through July 31, 2028 and is being performed by the University of Wisconsin System.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/28/25 |