21 citations · 32 across the 10 of their papers we have counts for
9 papers · 1 filter
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…
RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing
Chen Wang, Zhongcai Pei, Shuang Qiu +1
Stairs are common building structures in urban environments, and stair detection is an important part of environment perception for autonomous mobile robots. Most existing algorith…
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…
Deep Leaning-Based Ultra-Fast Stair Detection
Chen Wang, Zhongcai Pei, Shuang Qiu +1
Staircases are some of the most common building structures in urban environments. Stair detection is an important task for various applications, including the environmental percept…
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…