Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Models

no code implementations • 12 Mar 2023 • Yuran Sun, Shih-Kai Huang, Xilei Zhao

The aggravating effects of climate change and the growing population in hurricane-prone areas escalate the challenges in large-scale hurricane evacuations.

Interpretable Machine Learning Management +1

MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation

no code implementations • ICCV 2023 • Yuran Sun, Alan William Dougherty, Zhuoying Zhang, Yi King Choi, Chuan Wu

Human pose estimation in videos has wide-ranging practical applications across various fields, many of which require fast inference on resource-scarce devices, necessitating the development of efficient and accurate algorithms.

3D Pose Estimation motion prediction +1