no code implementations • 7 Jun 2023 • Libin Wang, Han Hu, Qisen Shang, Bo Xu, Qing Zhu
The lack of fa\c{c}ade structures in photogrammetric mesh models renders them inadequate for meeting the demands of intricate applications.
no code implementations • 30 Mar 2023 • Qisen Shang, Han Hu, Haojia Yu, Bo Xu, Libin Wang, Qing Zhu
Experimental results on publicly available fa\c{c}ade image and 3D model datasets demonstrate that our method yields superior results and effectively addresses issues associated with flawed textures.
no code implementations • 30 Sep 2022 • Longlong Chen, Yulong Wang, Youheng Liu, Yutao Hu, Libin Wang
In this paper, we propose a novel Double Graphs Regularized Multi-view Subspace Clustering (DGRMSC) method, which aims to harness both global and local structural information of multi-view data in a unified framework.
no code implementations • 28 Sep 2022 • Libin Wang, Yulong Wang, Shiyuan Wang, Youheng Liu, Yutao Hu, Longlong Chen, Hong Chen
Tensor Robust Principal Component Analysis (TRPCA), which aims to recover a low-rank tensor corrupted by sparse noise, has attracted much attention in many real applications.
no code implementations • 16 Apr 2020 • Yang Liu, Xiong Zhang, Libin Wang
To relax their privacy concerns about ID privacy, this paper formally proposes the notion of asymmetrical vertical federated learning and illustrates the way to protect sample IDs.
1 code implementation • 20 Feb 2020 • Han Hu, Libin Wang, Mier Zhang, Yulin Ding, Qing Zhu
Regularized arrangement of primitives on building fa\c{c}ades to aligned locations and consistent sizes is important towards structured reconstruction of urban environment.