| Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks M Engelcke, D Rao, DZ Wang, CH Tong, I Posner 2017 IEEE International Conference on Robotics and Automation (ICRA), 1355-1361, 2017 | 204 | 2017 |
| Meta-learning with latent embedding optimization AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ... International Conference on Learning Representations (ICLR), 2019 | 148 | 2019 |
| Large-scale path planning for underwater gliders in ocean currents D Rao, SB Williams Australasian conference on robotics and automation (ACRA), 2-4, 2009 | 89 | 2009 |
| Deep tracking in the wild: End-to-end tracking using recurrent neural networks J Dequaire, P Ondrúška, D Rao, D Wang, I Posner The International Journal of Robotics Research 37 (4-5), 492-512, 2018 | 52 | 2018 |
| Large-scale cost function learning for path planning using deep inverse reinforcement learning M Wulfmeier, D Rao, DZ Wang, P Ondruska, I Posner The International Journal of Robotics Research 36 (10), 1073-1087, 2017 | 38 | 2017 |
| CurveSLAM: An approach for vision-based navigation without point features D Rao, SJ Chung, S Hutchinson 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 25 | 2012 |
| Hierarchical classification in AUV imagery MS Bewley, N Nourani-Vatani, D Rao, B Douillard, O Pizarro, SB Williams Field and service robotics, 3-16, 2015 | 23 | 2015 |
| Monocular vision based navigation in GPS-denied riverine environments J Yang, D Rao, SJ Chung, S Hutchinson Infotech@ Aerospace 2011, 1403, 2011 | 23 | 2011 |
| Deep tracking on the move: Learning to track the world from a moving vehicle using recurrent neural networks J Dequaire, D Rao, P Ondruˇska, D Wang, I Posner arXiv preprint arXiv:1609.09365, 2016 | 17 | 2016 |
| Learn from experience: probabilistic prediction of perception performance to avoid failure C Gurău, D Rao, CH Tong, I Posner The International Journal of Robotics Research 37 (9), 981-995, 2018 | 13 | 2018 |
| Incorporating human domain knowledge into large scale cost function learning M Wulfmeier, D Rao, I Posner arXiv preprint arXiv:1612.04318, 2016 | 11 | 2016 |
| Multimodal learning for autonomous underwater vehicles from visual and bathymetric data D Rao, M De Deuge, N Nourani-Vatani, B Douillard, SB Williams, ... 2014 IEEE International Conference on Robotics and Automation (ICRA), 3819-3825, 2014 | 11 | 2014 |
| Multimodal learning and inference from visual and remotely sensed data D Rao, M De Deuge, N Nourani–Vatani, SB Williams, O Pizarro The International Journal of Robotics Research 36 (1), 24-43, 2017 | 10 | 2017 |
| Resource-performance tradeoff analysis for mobile robots M Lahijanian, M Svorenova, AA Morye, B Yeomans, D Rao, I Posner, ... IEEE Robotics and Automation Letters 3 (3), 1840-1847, 2018 | 8* | 2018 |
| Methods and devices with leak detection D Rao, JP Armitstead, D Ramanan US Patent 10,328,219, 2019 | 4 | 2019 |
| Multimodal information-theoretic measures for autonomous exploration D Rao, A Bender, SB Williams, O Pizarro 2016 IEEE International Conference on Robotics and Automation (ICRA), 4230-4237, 2016 | 4 | 2016 |
| Continual Unsupervised Representation Learning D Rao, F Visin, AA Rusu, YW Teh, R Pascanu, R Hadsell Advances in Neural Information Processing Systems 2019, 2019 | 2 | 2019 |
| Multi-modality learning from visual and remotely sensed data D Rao, M De Deuge, N Nourani-Vatani, SB Williams, O Pizarro IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on …, 2015 | 2 | 2015 |
| CurveSLAM: utilizing higher level structure in stereo vision-based navigation D Rao ILLINOIS UNIV AT URBANA-CHAMPAIGN, 2012 | 1 | 2012 |
| A neural network and method of using a neural network to detect objects in an environment M Engelcke, D Rao, DZ Wang, CH Tong, I Posner US Patent App. 16/334,815, 2020 | | 2020 |
Ingmar PosnerOxford UniversityVerified email at robots.ox.ac.uk
