Search Results for author:
Found 2 papers, 1 papers with code
RDMNet: Reliable Dense Matching Based Point Cloud Registration for Autonomous Driving
The proposed 3D-RoFormer fuses 3D position information into the transformer network, efficiently exploiting point clouds' contextual and geometric information to generate robust superpoint correspondences.
ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data
In this paper, we present a flexible and effective OIS framework for LiDAR point cloud that can accurately segment both known and unknown instances (i. e., seen and unseen instance categories during training).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
