activity
20212025
most citedSelf-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement

59 citations · 144 across the 15 of their papers we have counts for

collaborators

16 papers

eess.IV2025★ 15 cited

Weighted Combination and Singular Spectrum Analysis Based Remote Photoplethysmography Pulse Extraction in Low-light Environments

Lin Xi, Xingming Wu, Weihai Chen +2

Camera-based vital signs monitoring in recent years has attracted more and more researchers and the results are promising. However, a few research works focus on heart rate extract…

cs.CV2024

Neural Augmentation Based Panoramic High Dynamic Range Stitching

Chaobing Zheng, Yilun Xu, Weihai Chen +3

Due to saturated regions of inputting low dynamic range (LDR) images and large intensity changes among the LDR images caused by different exposures, it is challenging to produce an…

cs.CV2023

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…

cs.CV2023

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…

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★ 19 cited

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…

cs.CV2023★ 7 cited

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…

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.CV2023★ 59 cited

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…

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★ 13 cited

Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation

Lin Xi, Weihai Chen, Xingming Wu +2

Unsupervised video object segmentation (UVOS) aims at automatically separating the primary foreground object(s) from the background in a video sequence. Existing UVOS methods eithe…

eess.IV2021

DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks

Ziyang Liu, Zhengguo Li, Xingming Wu +2

The generative adversarial network (GAN) is successfully applied to study the perceptual single image superresolution (SISR). However, the GAN often tends to generate images with h…

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…

math.CO2021

Solvable conjugacy class graph of groups

Parthajit Bhowal, Peter J. Cameron, Rajat Kanti Nath +1

In this paper we introduce the graph associated with a group , called the solvable conjugacy class graph (abbreviated as SCC-graph), whose vertices are the nontrivia…

cs.CV2021

Novel Intensity Mapping Functions: Weighted Histogram Averaging

Yilun Xu, Zhengguo Li, Weihai Chen +1

It is challenging to align the brightness distribution of the images with different exposures due to possible color distortion and loss of details in the brightest and darkest regi…