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

59 citations · 122 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV20237 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.CV202349 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…

cs.CV202359 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.CV2021

Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation

Xiaoming Zhao, Weihai Chen, Xingming Wu +2

Deep stereo matching has made significant progress in recent years. However, state-of-the-art methods are based on expensive 4D cost volume, which limits their use in real-world ap…

cs.CV20217 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…