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) 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...
The National Science Foundation (NSF) awarded a $449,795 Project Grant under the Engineering program (CFDA 47.041) to the University of Pittsburgh. The 5-year award, effective May 1, 2024, aims to develop a bio-inspired sensing, computing, and learning framework for next-generation computer vision (CV) systems. The proposed research will focus on three key areas: 1) creating retina-inspired vision sensors that outperform existing cameras, 2) modeling and implementing scalable corticomorphic...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $119,698 to The Leland Stanford Junior University (Stanford University) to conduct research on the representation of visual information in the primate brain. The project, titled "CRCNS US-GERMAN RESEARCH PROPOSAL: INCEPTION LOOPS FOR INTERPRETABLE TUNING IN MACAQUE AREA V4", aims to develop innovative "inception loop" methods...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to develop a hybrid, vision-centric framework that integrates intuitive and deliberate visual processing to create more robust visual intelligence. The $111,878 award to New York University (NYU) supports research focused on advancing vision-centric parametric knowledge, incorporating human-like non-parametric mechanisms, and...
The National Science Foundation Division of Information and Intelligent Systems awarded a $750,000 Project Grant to Stanford University for research titled "COLLABORATIVE RESEARCH: NCS-FR: BEYOND THE VENTRAL STREAM: REVERSE ENGINEERING THE NEUROCOMPUTATIONAL BASIS OF PHYSICAL SCENE UNDERSTANDING IN THE PRIMATE BRAIN." The three-year grant, awarded October 1, 2021 and concluding September 30, 2024, will support research activities under the Computer and Information Science and...
This $1,090,678 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 computational approaches for aligning deep neural networks (DNNs) with human visual perception. The project, conducted by Brown University, will combine large-scale visual psychophysics experiments to characterize human visual strategies with machine learning methods to generate DNN architectures that mimic...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $283,832 to The Research Foundation For The State University Of New York (Stony Brook University) aims to develop AI-powered vision-language models that can generate plausible visual scenes in real-time using limited input from a person's peripheral vision. The goal is to better understand how the human brain creates the illusion of visual stability during naturalistic...
This federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) totaling $409,375 is focused on deciphering and applying brain algorithms for 3D object perception in biological and artificial vision systems. The key objectives are to: Use artificial vision networks to replicate the 3D shape tuning functions of individual neurons in the visual processing areas of macaque monkeys (V4, PIT, AIT). The researchers will analyze the 3D shape...
This $1,200,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program aims to democratize access to large-scale visual AI models. The 4-year project, starting on October 1, 2024, will focus on developing novel learning approaches to enable fast model specialization with limited data, advanced inference algorithms to improve efficiency, and improved visualization and deployment tools to enhance usability....