research
∙
11/11/2022
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
We propose LiDAL, a novel active learning method for 3D LiDAR semantic s...
share
research
∙
03/22/2022
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
LiDAR and camera are two important sensors for 3D object detection in au...
research
∙
08/19/2021
Learning to Match Features with Seeded Graph Matching Network
Matching local features across images is a fundamental problem in comput...
research
∙
07/29/2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
In recent years, sparse voxel-based methods have become the state-of-the...
research
∙
03/09/2021
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
Removing outlier correspondences is one of the critical steps for succes...
research
∙
07/14/2020
