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CVPR 2023

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

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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