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Inverse Neural Rendering for Explainable… duration 3 minutes 0 seconds Inverse Neural Rendering for Explainable… Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4)	Inverse Neural Rendering for Explainable Multi-Object Tracking, Tanushree Banerjee, UG '24 (611179F4) Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it… prd24 object properties image graphics cars tracking approach prediction appearance shape pipeline driving model feed features input frames problem approaches computer From Research Princeton Research Day 5 likes 379 plays Date May 3rd, 2024 Speaker Tanushree Banerjee, UG '24 (611179F4) Department Computer Science
CES Webinar - Intro to Canva duration 56 minutes 7 seconds CES Webinar - Intro to Canva CES Webinar - Intro to Canva	CES Webinar - Intro to Canva Victoria Pedata, Social Media Coordinator in the Office of Communications, will lead this session giving an overview of Canva. Canva is a free, web based program that allows for user friendly graphic… ceswebinar canva account elements questions media question templates instagram brand team twitter princeton videos lot newsletter bit graphics animation newsletters department From ces Conference and Event Services 0 likes 122 plays Date November 11th, 2020
Communication_Training_SRaftopulous_Day3_31JUL2014 duration 15 minutes 36 seconds Communication_Training_SRaftopulous_Day3_31JUL2014 Communication_Training_SRaftopulous_Day3_31JUL2014	Communication_Training_SRaftopulous_Day3_31JUL2014 Interviewer -- Brian Quirk, Interviewee - Steve Raftopulous pppl archived_to_s3 plasma energy machine sun fusion team fuel atoms thing graphics question questions magnets automobile bulb temperature beam density magnet body From PPPL Admins 0 likes 17 plays