activity
20172025
most citedSelf-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement

59 citations · 279 across the 20 of their papers we have counts for

collaborators

21 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.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★ 49 cited

Image Enhancement for Remote Photoplethysmography in a Low-Light Environment

Lin Xi, Weihai Chen, Changchen Zhao +2

With the improvement of sensor technology and significant algorithmic advances, the accuracy of remote heart rate monitoring technology has been significantly improved. Despite of…