activity
20192022
most citedM^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

10 citations · 26 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV202210 cited

MVSTER: Epipolar Transformer for Efficient Multi-View Stereo

Xiaofeng Wang, Zheng Zhu, Fangbo Qin +5

Learning-based Multi-View Stereo (MVS) methods warp source images into the reference camera frustum to form 3D volumes, which are fused as a cost volume to be regularized by subseq…

cs.CV2021

ELSD: Efficient Line Segment Detector and Descriptor

Haotian Zhang, Yicheng Luo, Fangbo Qin +2

We present the novel Efficient Line Segment Detector and Descriptor (ELSD) to simultaneously detect line segments and extract their descriptors in an image. Unlike the traditional…

cs.RO2021

Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization

Xingyin Fu, Zheng Fang, Xizhen Xiao +2

Accurate mapping and localization are very important for many industrial robotics applications. In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLA…

cs.CV20201 cited

TP-LSD: Tri-Points Based Line Segment Detector

Siyu Huang, Fangbo Qin, Pengfei Xiong +3

This paper proposes a novel deep convolutional model, Tri-Points Based Line Segment Detector (TP-LSD), to detect line segments in an image at real-time speed. The previous related…

cs.CV20205 cited

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

Baichuan Huang, Hongwei Yi, Can Huang +3

The present Multi-view stereo (MVS) methods with supervised learning-based networks have an impressive performance comparing with traditional MVS methods. However, the ground-truth…

cs.CV202010 cited

M^3VSNet: Unsupervised Multi-metric Multi-view Stereo Network

Baichuan Huang, Hongwei Yi, Can Huang +3

The present Multi-view stereo (MVS) methods with supervised learning-based networks have an impressive performance comparing with traditional MVS methods. However, the ground-truth…