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Andrew Markham
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Publications
- 2023
- [j33]Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen:
You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3949-3967 (2023) - 2022
- [j31]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. Int. J. Comput. Vis. 130(2): 316-343 (2022) - [j28]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8338-8354 (2022) - [c72]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR 2022: 8500-8510 - [c71]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) 2022: 600-619 - [c70]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. ECCV (2) 2022: 694-710 - [i60]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. CoRR abs/2201.04494 (2022) - [i58]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR abs/2203.11113 (2022) - [i57]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. CoRR abs/2203.16001 (2022) - 2021
- [c65]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CVPR 2021: 4977-4987 - [c64]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CVPR 2021: 11753-11762 - [i51]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR abs/2104.04891 (2021) - [i48]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR abs/2107.02389 (2021) - 2020
- [c57]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR 2020: 11105-11114 - [i37]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CoRR abs/2009.03137 (2020) - [i34]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CoRR abs/2011.12149 (2020) - 2019
- [c40]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS 2019: 6737-6746 - [i31]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR abs/1906.01140 (2019) - [i21]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR abs/1911.11236 (2019)
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