| Deepvo: Towards end-to-end visual odometry with deep recurrent convolutional neural networks S Wang, R Clark, H Wen, N Trigoni 2017 IEEE international conference on robotics and automation (ICRA), 2043-2050, 2017 | 582 | 2017 |
| 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 | 540 | 2020 |
| Supporting search and rescue operations with UAVs S Waharte, N Trigoni 2010 international conference on emerging security technologies, 142-147, 2010 | 531 | 2010 |
| 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 | 256 | 2017 |
| 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 | 230 | 2017 |
| Delay-bounded routing in vehicular ad-hoc networks A Skordylis, N Trigoni Proceedings of the 9th ACM international symposium on Mobile ad hoc …, 2008 | 229 | 2008 |
| 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 | 224 | 2018 |
| 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 | 215 | 2010 |
| Multi-query optimization for sensor networks N Trigoni, Y Yao, A Demers, J Gehrke, R Rajaraman International conference on distributed computing in sensor systems, 307-321, 2005 | 210 | 2005 |
| 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 | 197 | 2014 |
| 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 | 193 | 2014 |
| The cougar project: a work-in-progress report A Demers, J Gehrke, R Rajaraman, N Trigoni, Y Yao ACM Sigmod Record 32 (4), 53-59, 2003 | 186 | 2003 |
| 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 | 182 | 2014 |
| 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 | 158 | 2017 |
| 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 | 157 | 2019 |
| End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks S Wang, R Clark, H Wen, N Trigoni The International Journal of Robotics Research 37 (4-5), 513-542, 2018 | 155 | 2018 |
| Towards monocular vision based obstacle avoidance through deep reinforcement learning L Xie, S Wang, A Markham, N Trigoni arXiv preprint arXiv:1706.09829, 2017 | 144 | 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 | 137 | 2018 |
| Coordinated search with a swarm of UAVs S Waharte, N Trigoni, S Julier 2009 6th ieee annual communications society conference on sensor, mesh and …, 2009 | 123 | 2009 |
| 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 | 116 | 2018 |
