81 citations · 250 across the 25 of their papers we have counts for
8 papers · 1 filter
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
Qingshan Xu, Wenbing Tao
Deep learning has shown to be effective for depth inference in multi-view stereo (MVS). However, the scalability and accuracy still remain an open problem in this domain. This can…
Planar Prior Assisted PatchMatch Multi-View Stereo
Qingshan Xu, Wenbing Tao
The completeness of 3D models is still a challenging problem in multi-view stereo (MVS) due to the unreliable photometric consistency in low-textured areas. Since low-textured area…
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Lin Zhao, Wenbing Tao
In this paper, we propose a novel joint instance and semantic segmentation approach, which is called JSNet, in order to address the instance and semantic segmentation of 3D point c…
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
Li Zhu, Zihao Xie, Liman Liu +2
Region Proposal Network (RPN) is the cornerstone of two-stage object detectors, it generates a sparse set of object proposals and alleviates the extrem foregroundbackground class i…
SSRNet: Scalable 3D Surface Reconstruction Network
Zhenxing Mi, Yiming Luo, Wenbing Tao
Existing learning-based surface reconstruction methods from point clouds are still facing challenges in terms of scalability and preservation of details on large-scale point clouds…
Localization-aware Channel Pruning for Object Detection
Zihao Xie, Wenbing Tao, Li Zhu +1
Channel pruning is one of the important methods for deep model compression. Most of existing pruning methods mainly focus on classification. Few of them conduct systematic research…
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal
Zhi Chen, Fan Yang, Wenbing Tao
Mismatch removal is a critical prerequisite in many feature-based tasks. Recent attempts cast the mismatch removal task as a binary classification problem and solve it through deep…
Multi-Scale Geometric Consistency Guided Multi-View Stereo
Qingshan Xu, Wenbing Tao
In this paper, we propose an efficient multi-scale geometric consistency guided multi-view stereo method for accurate and complete depth map estimation. We first present our basic…