activity
20172021
most citedA comprehensive survey on point cloud registration

187 citations · 241 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021187 cited

A comprehensive survey on point cloud registration

Xiaoshui Huang, Guofeng Mei, Jian Zhang +1

Registration is a transformation estimation problem between two point clouds, which has a unique and critical role in numerous computer vision applications. The developments of opt…

cs.LG20204 cited

Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning

Xiaoshui Huang, Fujin Zhu, Lois Holloway +1

Discovering causal structure among a set of variables is a fundamental problem in many domains. However, state-of-the-art methods seldom consider the possibility that the observati…

cs.IR202030 cited

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation

Shoujin Wang, Longbing Cao, Liang Hu +4

A transaction-based recommender system (TBRS) aims to predict the next item by modeling dependencies in transactional data. Generally, two kinds of dependencies considered are intr…

cs.CV202016 cited

Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences

Xiaoshui Huang, Guofeng Mei, Jian Zhang

We present a fast feature-metric point cloud registration framework, which enforces the optimisation of registration by minimising a feature-metric projection error without corresp…

cs.CV20192 cited

Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement

Xiaoshui Huang, Lixin Fan, Qiang Wu +2

Many types of 3D acquisition sensors have emerged in recent years and point cloud has been widely used in many areas. Accurate and fast registration of cross-source 3D point clouds…

cs.CV20172 cited

Learning a 3D descriptor for cross-source point cloud registration from synthetic data

Xiaoshui Huang

As the development of 3D sensors, registration of 3D data (e.g. point cloud) coming from different kind of sensor is dispensable and shows great demanding. However, point cloud reg…