activity
20212025
most citedIEBins: Iterative Elastic Bins for Monocular Depth Estimation

21 citations · 32 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2025

A novel gesture interaction control method for rehabilitation lower extremity exoskeleton

Shuang Qiu, Zhongcai Pei, Chen Wang +2

With the rapid development of Rehabilitation Lower Extremity Robotic Exoskeletons (RLEEX) technology, significant advancements have been made in Human-Robot Interaction (HRI) metho…

cs.CV2023★ 21 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 3 cited

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…

cs.CV2022

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…

cs.CV2021★ 7 cited

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…

cs.CV2021

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…