Sen Wang
Sen Wang
Associate Professor, UK National Robotarium, Heriot-Watt University
Verified email at hw.ac.uk - Homepage
Title
Cited by
Cited by
Year
Safety verification of deep neural networks
X Huang, M Kwiatkowska, S Wang, M Wu
International Conference on Computer Aided Verification, 3-29, 2017
6682017
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
4802017
UnDeepVO: Monocular visual odometry through unsupervised deep learning
R Li, S Wang, Z Long, D Gu
2018 IEEE International Conference on Robotics and Automation (ICRA), 7286-7291, 2018
3432018
ViNet: Visual-inertial odometry as a sequence-to-sequence learning problem
R Clark, S Wang, H Wen, A Markham, N Trigoni
AAAI Conference on Artificial Intelligence (AAAI), 2017
2222017
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
1942017
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
1382017
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 (IJRR) 37 (4-5), 513-542, 2018
1322018
Towards monocular vision based obstacle avoidance through deep reinforcement learning
L Xie, S Wang, A Markham, N Trigoni
Robotics: Science and Systems (RSS), Workshop on New Frontiers for Deep …, 2017
1222017
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
Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019
1172019
Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning
I Carlucho, M De Paula, S Wang, Y Petillot, GG Acosta
Robotics and Autonomous Systems 107, 71-86, 2018
692018
A review of visual inertial odometry from filtering and optimisation perspectives
J Gui, D Gu, S Wang, H Hu
Advanced Robotics 29 (20), 1289-1301, 2015
692015
Artificial intelligence to manage network traffic of 5G wireless networks
Y Fu, S Wang, CX Wang, X Hong, S McLaughlin
IEEE Network 32 (6), 58-64, 2018
632018
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges
CX Wang, M Di Renzo, S Stanczak, S Wang, EG Larsson
IEEE Wireless Communications 27 (1), 16-23, 2020
482020
Learning with training wheels: speeding up training with a simple controller for deep reinforcement learning
L Xie, S Wang, S Rosa, A Markham, N Trigoni
2018 IEEE International Conference on Robotics and Automation (ICRA), 6276-6283, 2018
482018
Towards autonomous localization and mapping of AUVs: a survey
L Chen, S Wang, K McDonald‐Maier, H Hu
International Journal of Intelligent Unmanned Systems, 2013
462013
Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern
S Wang, H Wen, R Clark, N Trigoni
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
452016
Robust attentional aggregation of deep feature sets for multi-view 3D reconstruction
B Yang, S Wang, A Markham, N Trigoni
International Journal of Computer Vision 128 (1), 53-73, 2020
402020
An optimization based moving horizon estimation with application to localization of autonomous underwater vehicles
S Wang, L Chen, D Gu, H Hu
Robotics and Autonomous Systems 62 (10), 1581-1596, 2014
362014
Learning mobile manipulation through deep reinforcement learning
C Wang, Q Zhang, Q Tian, S Li, X Wang, D Lane, Y Petillot, S Wang
Sensors 20 (3), 939, 2020
322020
Single beacon based localization of AUVs using moving horizon estimation
S Wang, L Chen, H Hu, D Gu
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
262013
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