Dushyant Rao
Dushyant Rao
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
2982019
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
2752017
Large-scale path planning for underwater gliders in ocean currents
D Rao, SB Williams
Australasian conference on robotics and automation (ACRA), 2-4, 2009
992009
Deep tracking in the wild: End-to-end tracking using recurrent neural networks
J Dequaire, P Ondr˙ška, D Rao, D Wang, I Posner
The International Journal of Robotics Research 37 (4-5), 492-512, 2018
602018
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
532017
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 Systemsá…, 2012
272012
Continual unsupervised representation learning
D Rao, F Visin, A Rusu, R Pascanu, YW Teh, R Hadsell
Advances in Neural Information Processing Systems, 7647-7657, 2019
242019
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
242015
Monocular vision based navigation in GPS-denied riverine environments
J Yang, D Rao, SJ Chung, S Hutchinson
Infotech@ Aerospace 2011, 1403, 2011
232011
Deep tracking on the move: Learning to track the world from a moving vehicle using recurrent neural networks
J Dequaire, D Rao, P Ondruska, D Wang, I Posner
arXiv preprint arXiv:1609.09365, 2016
192016
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
162017
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
142018
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
13*2018
Incorporating human domain knowledge into large scale cost function learning
M Wulfmeier, D Rao, I Posner
arXiv preprint arXiv:1612.04318, 2016
132016
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
112014
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
42016
Attention-privileged reinforcement learning
S Salter, D Rao, M Wulfmeier, R Hadsell, I Posner
arXiv preprint arXiv:1911.08363, 2019
22019
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 oná…, 2015
22015
CurveSLAM: utilizing higher level structure in stereo vision-based navigation
D Rao
ILLINOIS UNIV AT URBANA-CHAMPAIGN, 2012
12012
Data-efficient Hindsight Off-policy Option Learning
M Wulfmeier, D Rao, R Hafner, T Lampe, A Abdolmaleki, T Hertweck, ...
arXiv preprint arXiv:2007.15588, 2020
2020
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Articles 1–20