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

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

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.

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