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 | 1617 | 2020 |
A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned D Lymberopoulos IPSN 2015, 2015 | 430 | 2015 |
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 | 416 | 2017 |
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 | 394 | 2018 |
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 | 330 | 2019 |
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 | 324 | 2017 |
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 | 290 | 2018 |
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 | 254 | 2014 |
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 | 249 | 2021 |
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 | 236 | 2014 |
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 | 235 | 2010 |
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 | 234 | 2019 |
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 | 214 | 2017 |
Towards monocular vision based obstacle avoidance through deep reinforcement learning L Xie, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1706.09829, 2017 | 211 | 2017 |
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 | 201 | 2014 |
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 | 172 | 2019 |
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 | 171 | 2020 |
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 | 169 | 2021 |
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 | 167 | 2018 |
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 | 161 | 2019 |