1 code implementation • 20 Nov 2023 • Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang
Directly transferring the 2D techniques to 3D scene generation is challenging due to significant resolution reduction and the scarcity of comprehensive real-world 3D scene datasets.
no code implementations • 22 Sep 2020 • Chongshou Li, Brenda Cheang, Zhixing Luo, Andrew Lim
The EFM model is significantly different from the original Factorization Machines (FM) from two-fold: (1) the attribute-level formulation for explanatory variables and (2) exponential formulation for the positive response variable.
no code implementations • 12 Aug 2020 • Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan
Second, we enhance the modified greedy algorithm to derive a data-dependent upper bound on the optimum.
1 code implementation • 11 Aug 2020 • Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang
Based on it, we formulate a hierarchical learning problem for 3D point cloud segmentation and propose a measurement evaluating consistency across various hierarchies.
no code implementations • ICCV 2017 • Shangxuan Tian, Shijian Lu, Chongshou Li
With a "light" supervised model trained on a small fully annotated dataset, we explore semi-supervised and weakly supervised learning on a large unannotated dataset and a large weakly annotated dataset, respectively.