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 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, San Diego will receive $800,000 from the National Science Foundation under the agency's Computer and Information Science and Engineering program (CFDA 47.070) to conduct collaborative research titled "Differentiable Rendering for Computer Graphics" from July 2021 through June 2025. The project aims to advance the development of differentiable rendering techniques, which allow gradients of images to be backpropagated through the entire rendering process....
This four-year, $400,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of new neural material models for more realistic computer graphics at the University of California, San Diego. Specifically, the university researchers will build machine learning-based models to more accurately simulate the complex reflectance patterns of materials at fine scales, going beyond current parametric models. The neural...
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...
The National Science Foundation (NSF) has awarded a $600,000 five-year Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, San Diego (UCSD) to conduct research on "Interaction-Oriented 3D Representation Learning on Point Cloud". The research aims to develop novel deep learning frameworks that can learn 3D representations from point cloud data and leverage these representations to optimally plan and execute...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) project grant (CFDA 47.070) provides $600,000 in funding to the University of California, San Diego (UCSD) from July 2024 to June 2027. The project aims to develop a novel, resolution-independent neural image representation that preserves key image discontinuities, enabling higher-fidelity computer graphics and computational photography applications. Key deliverables include a 2D...
The University of California, San Diego received a $375,000 project grant award from the National Science Foundation to conduct research titled "Towards Holistic Bias Mitigation in Computer Vision Systems" from February 1, 2021 through January 31, 2024. The award is funded through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in all areas of computing, communications, and information...
This four-year, $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for 3D scene understanding. Specifically, the Stanford University researchers will explore implicit neural representations to model scene structure and details from raw images and videos. They will integrate findings into course development and partner with organizations to teach artificial intelligence, computer vision, and...
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...