This federal Project Grant award of $1,200,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a new class of digital shape models capable of accurately representing deformable objects like animal bodies and human hands, even with varied skeletal structures. The 4-year project at the University of Texas at Austin aims to create a "universal deformable shape modeling framework" that integrates 3D...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...
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...
The National Science Foundation (NSF) has awarded a $599,468 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Texas at Austin. The grant, titled "HCC:SMALL: NEURAL SHAPE GENERATORS UNDER GEOMETRIC, PHYSICAL, AND TOPOLOGICAL PRIORS -SHAPE SYNTHESIS?CREATING FORMAL DESCRIPTIONS OF NOVEL 3-D SHAPES," will fund research to develop a computational framework that incorporates physical, topological, and geometrical preferences...
This National Science Foundation (NSF) Project Grant under the Mathematical and Physical Sciences (CFDA# 47.049) program will fund a collaborative research effort between U.S. and U.K. investigators to develop new statistical methods for modeling dynamic changes in biological and other complex shapes. The $200,000 award, effective August 1, 2024 through July 31, 2027, will focus on integrating spatiotemporal registration of objects and their evolution into the statistical formulation to enable...
This Project Grant award of $230,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program will support the development of a new class of computational tools for physiologically accurate human motion simulation. The project aims to bridge the gap between computer graphics and biomechanics, creating simulation methods that are fast, general-purpose, and grounded in physiology. The key products to be delivered include a...
The National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program has awarded a $341,618 Project Grant to The Regents of the University of California, doing business as the University of California, Berkeley (UC Berkeley). The grant, awarded on June 15, 2025, aims to develop a new foundational paradigm for understanding human behavior and activities in 4D (3D over time) from various types of video. The research will create a computational...
This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (MPS) program in the amount of $199,555 supports collaborative research on stochastic shape processes and inference. Led by a team of investigators from the U.S. and U.K., the project will develop methods for modeling how biological and other shapes change over time, using statistical frameworks to capture shape variations across objects and populations. This research aims to advance the...
This Project Grant award of $199,626 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program supports a collaborative, multidisciplinary research project focused on developing new methodologies for analyzing complex and multiscale data. The project will bring together a team of researchers in mathematics, statistics, and signal processing from the U.S. and France to tackle challenges in areas such as genomics, astrophysics, and network traffic analysis. The...
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...