no code implementations • 26 Apr 2024 • Jiahong Wang, Yinwei Du, Stelian Coros, Bernhard Thomaszewski
We propose a self-supervised approach for learning physics-based subspaces for real-time simulation.
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.
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.
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.