Search Results for author: Mark Endo

Found 3 papers, 3 papers with code

Motion Question Answering via Modular Motion Programs

1 code implementation15 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.

Attribute Question Answering

GaitForeMer: Self-Supervised Pre-Training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation

1 code implementation30 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.

Motion Forecasting severity prediction

CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation

1 code implementation21 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.

Image Segmentation Knowledge Distillation +3

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