no code implementations • 28 May 2020 • Michael Shin, Eduardo Castillo, Irene Font Peradejordi, Shobhna Jayaraman
In this work, we demonstrate that receptive fields in 3D pose estimation can be effectively specified using optical flow.
no code implementations • 26 May 2017 • Harish RaviPrakash, Milena Korostenskaja, Eduardo Castillo, Ki Lee, James Baumgartner, Ulas Bagci
In this study, we address the accuracy limitation of the current RTFM signal estimation methods by analyzing the full frequency spectrum of the signal and replacing signal power estimation methods with machine learning algorithms, specifically random forest (RF), as a proof of concept.