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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award, totaling $719,999.00, supports research at George Mason University to develop algorithms and interfaces that enable 3D modeling without visual cues. The key objectives are to create "in-air" 3D drawing tools, sonification techniques for non-visual shape perception and editing, and verbal 3D shape editing tools and interactions. This...
This $479,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop algorithms and interfaces that enable easier and more effective 3D modeling, even without visual cues. The key objectives are to create: 1) accurate "in-air" 3D drawing tools, 2) sonification techniques for non-visual shape perception and editing, and 3) verbal 3D shape editing tools and interactions. This...
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 $312,813 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports a collaborative U.S.-French research project focused on 4D human shape analysis and synthesis. The key objectives are to: 1) Develop a framework for invariant 3D-to-3D registration and reconstruction of human body shapes and facial scans, combining mathematical shape analysis with advancements in latent space and auto-encoder...
This $150,000 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research to advance the "structure vs. randomness" paradigm - a prominent concept used in mathematics and computer science. The project aims to develop new quantitative techniques, such as "spreadness" and "mixing," that can significantly improve bounds for important problems...
The National Science Foundation awarded a $374,998 project grant to the University of South Florida under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research into three dimensional algorithmic assembly and information storage from May 2021 through April 2024. The Computer and Information Science and Engineering program aims to advance computing, communications, and information science through investigator-initiated research and education....
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research at the Massachusetts Institute of Technology (MIT) to develop discretization-free methods for processing geometric shapes and vector fields on computers. The key products and services to be delivered include: New techniques for animating computer graphics characters without the traditional step of discretizing the...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the development of discretization-free methods for geometry processing and computer graphics at the University of Southern California (USC). The key products and services to be delivered include: New techniques for animating computer graphics characters that bypass the traditional discretization process. Discretization-free...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $599,945 will fund the development of a 3D computer vision framework that integrates multiple sensing modalities, including RGB cameras, depth sensors, LiDAR, and event cameras. The research aims to enhance feature extraction, tracking, and large-scale scene reconstruction to improve perception accuracy and adaptability in unstructured environments. Key...