59 citations · 90 across the 10 of their papers we have counts for
10 papers
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model
Shuwei Shao, Zhongcai Pei, Weihai Chen +3
Over the past few years, self-supervised monocular depth estimation that does not depend on ground-truth during the training phase has received widespread attention. Most efforts f…
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
Shuwei Shao, Zhongcai Pei, Weihai Chen +2
Over the past few years, monocular depth estimation and completion have been paid more and more attention from the computer vision community because of their widespread application…
IEBins: Iterative Elastic Bins for Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Xingming Wu +3
Monocular depth estimation (MDE) is a fundamental topic of geometric computer vision and a core technique for many downstream applications. Recently, several methods reframe the MD…
NDDepth: Normal-Distance Assisted Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Weihai Chen +2
Monocular depth estimation has drawn widespread attention from the vision community due to its broad applications. In this paper, we propose a novel physics (geometry)-driven deep…
A geometry-aware deep network for depth estimation in monocular endoscopy
Yongming Yang, Shuwei Shao, Tao Yang +4
Monocular depth estimation is critical for endoscopists to perform spatial perception and 3D navigation of surgical sites. However, most of the existing methods ignore the importan…
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
Shuwei Shao, Zhongcai Pei, Weihai Chen +3
This work aims to estimate a high-quality depth map from a single RGB image. Due to the lack of depth clues, making full use of the long-range correlation and the local information…
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
Zhong Liu, Ran Li, Shuwei Shao +2
Monocular depth estimation plays a fundamental role in computer vision. Due to the costly acquisition of depth ground truth, self-supervised methods that leverage adjacent frames t…
Learnable Patchmatch and Self-Teaching for Multi-Frame Depth Estimation in Monocular Endoscopy
Shuwei Shao, Zhongcai Pei, Weihai Chen +2
This work delves into unsupervised monocular depth estimation in endoscopy, which leverages adjacent frames to establish a supervisory signal during the training phase. For many cl…
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Shuwei Shao, Zhongcai Pei, Weihai Chen +4
Recently, self-supervised learning technology has been applied to calculate depth and ego-motion from monocular videos, achieving remarkable performance in autonomous driving scena…
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One
Shuwei Shao, Ran Li, Zhongcai Pei +5
Depth estimation attracts widespread attention in the computer vision community. However, it is still quite difficult to recover an accurate depth map using only one RGB image. We…