We are pleased to bring a diverse set of work spanning geometry, generative-AI, and AI-art to CVPR2023. Main conference paper + highlight: PolyINR https://lnkd.in/d7v6uCpi (Rajhans Singh and Ankita Shukla) Deep learning for Geometric Computing workshop paper: Deep Geometric Moment https://lnkd.in/d6tRkeZQ (Rajhans Singh and Ankita Shukla) Generative Models for Computer Vision workshop paper with Adobe Research… Continue reading CVPR 2023
Author: pavanturaga
NSF Predictive Intelligence for Pandemic Prevention
We received a 18 month Phase 1 planning grant from the NSF PIPP program, with a large team consisting of Patricia Solis (KER + SGSUP), Visar Berisha (CHS + ECEE), Giulia Pedrielli (SCAI), Gautam Dasarathy (ECEE), Lalitha Sankar (ECEE), Daniel Rivera (SEMTE), Laimonas Kelbauskas (KE), Ni Trieu (SCAI + BioDesign), Michael Simeone (ASU Library Data Science and Analytics), Timothy… Continue reading NSF Predictive Intelligence for Pandemic Prevention
Adobe Gift on Machine Learning and Mobile Filmmaking
Pavan Turaga and Max Bernstein of the Geometric Media Lab receive a gift from Adobe Research, to investigate the role of machine learning techniques in the future mobile filmmaking practices.
DARPA AI explorations grant
The Geometric Media Lab recently won a grant from the DARPA Geometries of Learning (GoL) program, with the full team including Gautam Dasarathy (ASU), Visar Berisha (ASU), Vishal Patel (JHU), Rama Chellappa (JHU), and Anuj Srivastava (FSU). https://news.asu.edu/20220426-discoveries-asu-professor-wins-1m-dod-grant-boost-ai-technology
New NIH R01 on machine learning for ankle dynamics
Started a new NIH R01 with Drs. Hyunglae Lee, Sze-Zheng Yong and and Matthew Buman, on “Smart User-Effective Data-Enabled (SUEDE) Shoe for Ankle Injury Prevention”. https://news.asu.edu/20220406-new-suede-shoes-apply-smart-tech-ankle-injury-prevention