10 citations · 11 across the 6 of their papers we have counts for
6 papers
Breaking of brightness consistency in optical flow with a lightweight CNN network
Yicheng Lin, Shuo Wang, Yunlong Jiang +1
Sparse optical flow is widely used in various computer vision tasks, however assuming brightness consistency limits its performance in High Dynamic Range (HDR) environments. In thi…
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
Wang Boya, Wang Shuo, Ye Dong +1
With the frequent use of self-supervised monocular depth estimation in robotics and autonomous driving, the model's efficiency is becoming increasingly important. Most current appr…
CFNet: LiDAR-Camera Registration Using Calibration Flow Network
Xudong Lv, Boya Wang, Ziwen Dou +2
As an essential procedure of data fusion, LiDAR-camera calibration is critical for autonomous vehicles and robot navigation. Most calibration methods rely on hand-crafted features…
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation
Jingfeng Lu, Shuo Wang, Ping Li +1
Low-dose computed tomography (CT) allows the reduction of radiation risk in clinical applications at the expense of image quality, which deteriorates the diagnosis accuracy of radi…
LCCNet: LiDAR and Camera Self-Calibration using Cost Volume Network
Xudong Lv, Boya Wang, Dong Ye +1
In this paper, we propose a novel online self-calibration approach for Light Detection and Ranging (LiDAR) and camera sensors. Compared to the previous CNN-based methods that conca…
Semantic Flow-guided Motion Removal Method for Robust Mapping
Xudong Lv, Boya Wang, Dong Ye +1
Moving objects in scenes are still a severe challenge for the SLAM system. Many efforts have tried to remove the motion regions in the images by detecting moving objects. In this w…