Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition

no code implementations • 14 Mar 2022 • Yan Yan, Tianzheng Liao, Jinjin Zhao, Jiahong Wang, Liang Ma, Wei Lv, Jing Xiong, Lei Wang

Given this observation, we devised a graph-inspired deep learning approach toward the sensor-based HAR tasks, which was further used to build a deep transfer learning model toward giving a tentative solution for these two challenging problems.

Few-Shot Learning Human Activity Recognition +1

SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data

no code implementations • CVPR 2021 • Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing

Moreover, existing image-based datasets for mesh reconstruction don't permit to study models which integrate temporal information.

object-detection Object Detection +1

Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting

no code implementations • 23 May 2020 • Yuexin Zhang, Jiahong Wang

WGTB then ensembles their outputs by a warm-start and a hybrid of bagging and boosting, which lowers bias and variance concurrently.

Load Forecasting