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Andrew Markham
Andrew Markham
Department of Computer Science, University of Oxford
在 cs.ox.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Randla-net: Efficient semantic segmentation of large-scale point clouds
Q Hu, B Yang, L Xie, S Rosa, Y Guo, Z Wang, N Trigoni, A Markham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
16172020
A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned
D Lymberopoulos
IPSN 2015, 2015
4302015
Vinet: Visual-inertial odometry as a sequence-to-sequence learning problem
R Clark, S Wang, H Wen, A Markham, N Trigoni
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
4162017
Visual SLAM and structure from motion in dynamic environments: A survey
MRU Saputra, A Markham, N Trigoni
ACM Computing Surveys (CSUR) 51 (2), 1-36, 2018
3942018
Learning object bounding boxes for 3d instance segmentation on point clouds
B Yang, J Wang, R Clark, Q Hu, S Wang, A Markham, N Trigoni
Advances in neural information processing systems 32, 2019
3302019
Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization
R Clark, S Wang, A Markham, N Trigoni, H Wen
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3242017
Ionet: Learning to cure the curse of drift in inertial odometry
C Chen, X Lu, A Markham, N Trigoni
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
2902018
Non-line-of-sight identification and mitigation using received signal strength
Z Xiao, H Wen, A Markham, N Trigoni, P Blunsom, J Frolik
IEEE Transactions on Wireless Communications 14 (3), 1689-1702, 2014
2542014
Spinnet: Learning a general surface descriptor for 3d point cloud registration
S Ao, Q Hu, B Yang, A Markham, Y Guo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
2492021
Does BTLE measure up against WiFi? A comparison of indoor location performance
X Zhao, Z Xiao, A Markham, N Trigoni, Y Ren
European Wireless 2014; 20th European Wireless Conference, 1-6, 2014
2362014
Evolution and sustainability of a wildlife monitoring sensor network
V Dyo, SA Ellwood, DW Macdonald, A Markham, C Mascolo, B Pásztor, ...
Proceedings of the 8th ACM conference on embedded networked sensor systems …, 2010
2352010
mid: Tracking and identifying people with millimeter wave radar
P Zhao, CX Lu, J Wang, C Chen, W Wang, N Trigoni, A Markham
2019 15th International Conference on Distributed Computing in Sensor …, 2019
2342019
3d object reconstruction from a single depth view with adversarial learning
B Yang, H Wen, S Wang, R Clark, A Markham, N Trigoni
Proceedings of the IEEE international conference on computer vision …, 2017
2142017
Towards monocular vision based obstacle avoidance through deep reinforcement learning
L Xie, S Wang, A Markham, N Trigoni
arXiv preprint arXiv:1706.09829, 2017
2112017
Lightweight map matching for indoor localisation using conditional random fields
Z Xiao, H Wen, A Markham, N Trigoni
IPSN-14 proceedings of the 13th international symposium on information …, 2014
2012014
Ganvo: Unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks
Y Almalioglu, MRU Saputra, PPB De Gusmao, A Markham, N Trigoni
2019 International conference on robotics and automation (ICRA), 5474-5480, 2019
1722019
A survey on deep learning for localization and mapping: Towards the age of spatial machine intelligence
C Chen, B Wang, CX Lu, N Trigoni, A Markham
arXiv preprint arXiv:2006.12567, 2020
1712020
Towards semantic segmentation of urban-scale 3D point clouds: A dataset, benchmarks and challenges
Q Hu, B Yang, S Khalid, W Xiao, N Trigoni, A Markham
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1692021
Dense 3D object reconstruction from a single depth view
B Yang, S Rosa, A Markham, N Trigoni, H Wen
IEEE transactions on pattern analysis and machine intelligence 41 (12), 2820 …, 2018
1672018
Selective sensor fusion for neural visual-inertial odometry
C Chen, S Rosa, Y Miao, CX Lu, W Wu, A Markham, N Trigoni
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1612019
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