7 citations · 8 across the 2 of their papers we have counts for
7 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…
StairNetV3: Depth-aware Stair Modeling using Deep Learning
Chen Wang, Zhongcai Pei, Shuang Qiu +2
Vision-based stair perception can help autonomous mobile robots deal with the challenge of climbing stairs, especially in unfamiliar environments. To address the problem that curre…
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…