1 code implementation • 15 May 2023 • Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu
In order to build artificial intelligence systems that can perceive and reason with human behavior in the real world, we must first design models that conduct complex spatio-temporal reasoning over motion sequences.
1 code implementation • 30 Jun 2022 • Mark Endo, Kathleen L. Poston, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Ehsan Adeli
Because of this clinical data scarcity and inspired by the recent advances in self-supervised large-scale language models like GPT-3, we use human motion forecasting as an effective self-supervised pre-training task for the estimation of motor impairment severity.
1 code implementation • 21 Feb 2021 • Soham Gadgil, Mark Endo, Emily Wen, Andrew Y. Ng, Pranav Rajpurkar
Medical image segmentation models are typically supervised by expert annotations at the pixel-level, which can be expensive to acquire.