10 citations · 11 across the 6 of their papers we have counts for
6 papers
Pre-training Enables Extraordinary All-optical Image Denoising
Xudong Lv, Yuxiang Sun, Shuo Wang +3
Optical neural networks are emerging as powerful machine learning and information processing tools because of their potential advantages in speed and energy efficiency. The trainin…
GLT-T++: Global-Local Transformer for 3D Siamese Tracking with Ranking Loss
Jiahao Nie, Zhiwei He, Yuxiang Yang +3
Siamese trackers based on 3D region proposal network (RPN) have shown remarkable success with deep Hough voting. However, using a single seed point feature as the cue for voting fa…
Dual-space Compressed Sensing
Xudong Lv, Ashok Ajoy
Compressed sensing (CS) is a powerful method routinely employed to accelerate image acquisition. It is particularly suited to situations when the image under consideration is spars…
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…
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…