research
∙
09/20/2023
AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration
In the current deep learning paradigm, the amount and quality of trainin...
share
research
∙
04/04/2023
Robust Outlier Rejection for 3D Registration with Variational Bayes
Learning-based outlier (mismatched correspondence) rejection for robust ...
research
∙
03/29/2022
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World
In this work, we tackle the task of estimating the 6D pose of an object ...
research
∙
11/19/2021
What Stops Learning-based 3D Registration from Working in the Real World?
Much progress has been made on the task of learning-based 3D point cloud...
research
∙
04/08/2021
Robust Differentiable SVD
Eigendecomposition of symmetric matrices is at the heart of many compute...
research
∙
11/23/2020
3D Registration for Self-Occluded Objects in Context
While much progress has been made on the task of 3D point cloud registra...
research
∙
11/17/2020
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
Recently, 3D version has been improved greatly due to the development of...
research
∙
06/08/2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration
While 3D-3D registration is traditionally tacked by optimization-based m...
research
∙
04/15/2020
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Many classical Computer Vision problems, such as essential matrix comput...
research
∙
06/21/2019
Backpropagation-Friendly Eigendecomposition
Eigendecomposition (ED) is widely used in deep networks. However, the ba...
research
∙
03/21/2018