Our paper on Generative Patch Priors for Practical Compressive Image Recovery, received the Best Paper Honorable Mention. Congratulations to the lead authors Rushil Anirudh and Suhas Lohit.
Author: pavanturaga
AI Rewind 2020 and Trends in Computer Vision
Pleased to be invited back by TWIML for their “AI Rewind 2020” series to talk about “Trends in Computer Vision”. Happy New Year!
ML and Science
Proud to receive a subcontract from Lawrence Livermore Labs, to investigate simulation-driven machine-learning methods for optimizing experimental protocols regarding high rep-rate laser physics!!
NSF Smart and Connected Health
Proud to be part of a multi-institution NSF grant investigating new designs for home-based stroke rehabilitation systems, with experts in sensors, ML, design and media-arts. Lead institution Virginia Tech, with a sub-award to the Geometric Media Lab.
NSF Future of Work
Received a planning grant from the NSF Future of Work program titled ‘The Future of Workplace Wellness’ with a highly interdisciplinary team featuring Dosun Shin (Design), Matt Buman (health interventions), Ellen Green (health economist). Grisha Coleman (movement studies), Todd Ingalls (interactive sound). The grant is led by Pavan Turaga (machine learning). Excited to begin work in whatever way is possible in the post-pandemic world.
