7 citations · 7 across the 5 of their papers we have counts for
5 papers
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…
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…
Constrained Exploration in Reinforcement Learning with Optimality Preservation
Peter C. Y. Chen
We consider a class of reinforcement-learning systems in which the agent follows a behavior policy to explore a discrete state-action space to find an optimal policy while adhering…
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…