10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Qingsong Yan, Qiang Wang, Kaiyong Zhao +3
Existing learning-based multi-view stereo (MVS) methods rely on the depth range to build the 3D cost volume and may fail when the range is too large or unreliable. To address this…
cs.CV2022
SphereDepth: Panorama Depth Estimation from Spherical Domain
Qingsong Yan, Qiang Wang, Kaiyong Zhao +3
The panorama image can simultaneously demonstrate complete information of the surrounding environment and has many advantages in virtual tourism, games, robotics, etc. However, the…
cs.CV2019★ 10 cited
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation
Qiang Wang, Shizhen Zheng, Qingsong Yan +3
Indoor robotics localization, navigation, and interaction heavily rely on scene understanding and reconstruction. Compared to the monocular vision which usually does not explicitly…