research
∙
03/03/2023
Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion
In the practical application of point cloud completion tasks, real data ...
share
research
∙
02/28/2023
Efficient Implicit Neural Reconstruction Using LiDAR
Modeling scene geometry using implicit neural representation has reveale...
research
∙
11/17/2022
You Only Label Once: 3D Box Adaptation from Point Cloud to Image via Semi-Supervised Learning
The image-based 3D object detection task expects that the predicted 3D b...
research
∙
02/07/2022
Temporal Point Cloud Completion with Pose Disturbance
Point clouds collected by real-world sensors are always unaligned and sp...
research
∙
11/11/2021
Graph-Guided Deformation for Point Cloud Completion
For a long time, the point cloud completion task has been regarded as a ...
research
∙
10/20/2020
Tracking from Patterns: Learning Corresponding Patterns in Point Clouds for 3D Object Tracking
A robust 3D object tracker which continuously tracks surrounding objects...
research
∙
04/20/2020
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking
Directly learning multiple 3D objects motion from sequential images is d...
research
∙
10/11/2019
Coarse-To-Fine Visual Localization Using Semantic Compact Map
Robust visual localization for urban vehicles remains challenging and un...
research
∙
01/22/2019
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
As the foundation of driverless vehicle and intelligent robots, Simultan...
research
∙
03/11/2018