Project Grant FA95502210538

This $580,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems will fund research to develop more biologically realistic computational models of the primate visual system. Awarded under the Computer and Information Science and Engineering program (CFDA 47.070), the grant supports work at the University of California, San Diego from September 15, 2022 to August 31, 2025. The research aims to incorporate key features of human vision missing from...

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...

This $111,878 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to New York University aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The 5-year project, commencing on February 15, 2025, will explore techniques like visual self-supervised learning, language guidance, and generative modeling to advance parametric knowledge and...

This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...

This four-year, $400,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems supports research at the Massachusetts Institute of Technology under the Computer and Information Science and Engineering program. The grant funds the development of new techniques for composing implicit representations to enable machines to perceive and reconstruct 3D scenes in a more generalizable manner. Investigators will explore methods to make representations...

This three-year, $350,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a knowledge platform and related tools to bridge the gap between visualization research and design practice. Specifically, the Trustees of Boston College will receive funding to build a comprehensive online framework for improving access to and learning about effective visualization design principles. This framework will consolidate existing...

This K99/R00 Pathway to Independence Award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) provides $227,594 to The Washington University in St. Louis to investigate the neural computational mechanisms underlying object recognition in humans. The project aims to delineate how visual feature representations in the visual temporal cortex are transformed into semantic representations in the medial temporal lobe to enable object recognition. The research will...

This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program aims to enhance computer vision and shape recognition capabilities. The $299,964 award, effective September 1, 2024 through August 31, 2027, supports research to develop deep learning models that can better perceive and comprehend the configural relationships between object parts, as opposed to just detecting individual components. The project seeks to create a...

This Project Grant award from the National Eye Institute (NEI), under the Federal Grant Program for Vision Research (CFDA 93.867), provides $233,250 to The Washington University in St. Louis to conduct research exploring how scene segmentation circuits in the brain contribute to predicting future visual input. The key objectives of this exploratory, high-risk research project are to: 1) understand the stimulus conditions that drive the emergence of border ownership units in artificial neural...

The National Science Foundation awarded a $281,367 Project Grant to the Rochester Institute of Technology under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The three-year award will fund research into visual perception of three-dimensional object shape from patterns of image shading and contours. The researchers will study how the human visual system processes and interprets information about an object's 3D properties. They will incorporate optical effects typically...