Andrew Markham

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Qingyong Hu, Bo Yang, Linhai Xie et al. · 2020 · 1.9K citations

Geometric Modeling, 3D Computer Vision, Efficient Semantic Segmentation +14

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Sheng Ao, Qingyong Hu, Bo Yang et al. · 2021 · 349 citations

Geometric Learning, Engineering, Machine Learning +20

IONet: Learning to Cure the Curse of Drift in Inertial Odometry

Changhao Chen, Xiaoxuan Lu, Andrew Markham et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 341 citations · Full text

Location Tracking, Engineering, Machine Learning +24

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Ronald Clark, Sen Wang, Hongkai Wen et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2017 · 309 citations · Full text

Engineering, Machine Learning, 3D Pose Estimation +20

Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer · Advances in Computational Mathematics · 2023 · 267 citations · Full text