The University of Wisconsin-Madison was awarded a $916,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund the "SHF: MEDIUM: PROGRAM SYNTHESIS FOR WEAK SUPERVISION" project from July 2021 through June 2025. The project aims to advance the development of research cyberinfrastructure to enable and accelerate discovery and innovation in computing, communications, and...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $169,938 to support research in self-supervised visual representation learning using mixed labeled and unlabeled data. Specifically, the University of California, Davis will study novel self-supervised learning algorithms that can learn rich visual features from unlabeled images and videos...
This $207,737 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop a new class of machine learning models called "Programmatic Foundation Models" that can efficiently analyze large-scale satellite, aerial, and ground imagery. The goal is to create interpretable, robust AI models that can understand global and local phenomena from images, providing insights...
The National Science Foundation awarded Northwestern University a $532,579 Project Grant under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2021 through September 30, 2024. The grant funds collaborative research to develop design guidelines for dynamic visualizations. The Computer and Information Science and Engineering program supports investigator-initiated research and education in computing, communications, and...
The University of Washington was awarded a $316,356 project grant from the National Science Foundation Division of Computer and Network Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from October 1, 2021 to September 30, 2025 to develop novel algorithms and tools that empower individuals who are blind to safely manage private visual content. The goal is to advance computing and information sciences research...
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...
The University of California, Davis received a $328,084 Project Grant award from the National Science Foundation Division of Computer and Network Systems on July 1, 2021. The grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to advance the evolution of computer vision for low power devices and break through existing power and computational complexity barriers. Specifically, the university will conduct investigator-initiated research...
The University of Illinois was awarded a $1,200,000 project grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070) and will support the creation of knowledge through all-novel-class computer vision research from September 2021 through August 2025. As part of the grant, the University will conduct investigator-initiated research and education in computer...
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 capabilities for recognizing and understanding shapes in images and 3D data. The project will develop new deep learning and graph-based frameworks to enable computers to focus on the critical parts of an object, understand the relationships between those parts, and gain a more holistic perception of shapes....
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...