59 citations · 144 across the 15 of their papers we have counts for
8 papers · 1 filter
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…
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Lin Xi, Weihai Chen, Xingming Wu +2
Online unsupervised video object segmentation (UVOS) uses the previous frames as its input to automatically separate the primary object(s) from a streaming video without using any…
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation
Xiaoming Zhao, Xingming Wu, Weihai Chen +3
Image keypoints and descriptors play a crucial role in many visual measurement tasks. In recent years, deep neural networks have been widely used to improve the performance of keyp…
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…