1 code implementation • NAACL 2018 • Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su
We introduce MeSys, a meaning-based approach, for solving English math word problems (MWPs) via understanding and reasoning in this paper.
no code implementations • 23 Mar 2014 • Yu-Shiang Wong, Hung-Kuo Chu, Niloy J. Mitra
Further, as more scenes are annotated, the system makes better suggestions based on structural and geometric priors learns from the previous annotation sessions.
no code implementations • CVPR 2021 • Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner
From a sequence of RGB-D frames, we detect objects in each frame and learn to predict their complete object geometry as well as a dense correspondence mapping into a canonical space.
no code implementations • 21 Apr 2023 • Yu-Shiang Wong, Niloy J. Mitra
A long-standing goal in scene understanding is to obtain interpretable and editable representations that can be directly constructed from a raw monocular RGB-D video, without requiring specialized hardware setup or priors.