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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…

From  Research Princeton Research Day 5 likes 372 plays

ReMatch+ Intern — Chi Luc

Evaluation of Low Frequency Sinusoid Steel Plates for the Design of Seismic Resistant Buildings Advised by: Prof. Maria Garlock, Civil and Environmental Engineering Parfait Masungi, Civil and…

From  our Undergraduate Research 0 likes 15 plays