Sen Wang
Sen Wang
Senior Lecturer (Associate Professor), Imperial College London
Verified email at - Homepage
Cited by
Cited by
Safety verification of deep neural networks
X Huang, M Kwiatkowska, S Wang, M Wu
International Conference on Computer Aided Verification, 3-29, 2017
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
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
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
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
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
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
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
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
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
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
Radiate: A radar dataset for automotive perception in bad weather
M Sheeny, E De Pellegrin, S Mukherjee, A Ahrabian, S Wang, A Wallace
2021 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2021
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
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
RadarSLAM: Radar based Large-Scale SLAM in All Weathers
Z Hong, Y Petillot, S Wang
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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
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
DeepSLAM: A robust monocular SLAM system with unsupervised deep learning
R Li, S Wang, D Gu
IEEE Transactions on Industrial Electronics 68 (4), 3577-3587, 2020
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
Deep sensor fusion between 2D laser scanner and IMU for mobile robot localization
C Li, S Wang, Y Zhuang, F Yan
IEEE Sensors Journal 21 (6), 8501-8509, 2019
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