Ronald Clark
Title
Cited by
Cited by
Year
DeepVO: Towards end-to-end visual odometry with deep recurrent convolutional neural networks
S Wang, R Clark, H Wen, N Trigoni
Robotics and Automation (ICRA), 2017 IEEE International Conference on, 2043-2050, 2017
3122017
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
271*2018
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem.
R Clark, S Wang, H Wen, A Markham, N Trigoni
AAAI, 3995-4001, 2017
1612017
Vidloc: A deep spatio-temporal model for 6-dof video-clip relocalization
R Clark, S Wang, A Markham, N Trigoni, H Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6856-6864, 2017
1412017
CodeSLAM-Learning a Compact, Optimisable Representation for Dense Visual SLAM
M Bloesch, J Czarnowski, R Clark, S Leutenegger, AJ Davison
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
1192018
3D object reconstruction from a single depth view with adversarial learning
B Yang, H Wen, S Wang, R Clark, A Markham, N Trigoni
arXiv preprint arXiv:1708.07969, 2017
1082017
Fusion++: Volumetric object-level slam
J McCormac, R Clark, M Bloesch, A Davison, S Leutenegger
2018 international conference on 3D vision (3DV), 32-41, 2018
772018
InteriorNet: Mega-scale multi-sensor photo-realistic indoor scenes dataset
W Li, S Saeedi, J McCormac, R Clark, D Tzoumanikas, Q Ye, Y Huang, ...
arXiv preprint arXiv:1809.00716, 2018
682018
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, 6740-6749, 2019
422019
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
392018
Learning to Solve Nonlinear Least Squares for Monocular Stereo
R Clark, M Bloesch, J Czarnowski, A Davison, S Leutenegger
Proceedings of the European Conference on Computer Vision (ECCV), 284-299, 2018
34*2018
Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern
S Wang, H Wen, R Clark, N Trigoni
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
342016
Deepfactors: Real-time probabilistic dense monocular slam
J Czarnowski, T Laidlow, R Clark, AJ Davison
IEEE Robotics and Automation Letters 5 (2), 721-728, 2020
102020
Robust vision-based indoor localization
R Clark, N Trigoni, A Markham
Proceedings of the 14th international conference on information processing …, 2015
82015
Increasing the efficiency of 6-DoF visual localization using multi-modal sensory data
R Clark, S Wang, H Wen, N Trigoni, A Markham
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
72016
Design Optimization of a Hybrid Energy System Through Fast Convex Programming
R Clark, W Cronje, MA van Wyk
IEEE 5th International Conference on Intelligent Systems, Modelling and …, 2014
62014
Balancing reconstruction quality and regularisation in elbo for vaes
S Lin, S Roberts, N Trigoni, R Clark
arXiv preprint arXiv:1909.03765, 2019
32019
Learning Meshes for Dense Visual SLAM
M Bloesch, T Laidlow, R Clark, S Leutenegger, AJ Davison
Proceedings of the IEEE International Conference on Computer Vision, 5855-5864, 2019
32019
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion
A Nicastro, R Clark, S Leutenegger
Proceedings of the IEEE International Conference on Computer Vision, 1517-1526, 2019
32019
Meta-learning for instance-level data association
R Clark, J McCormac, S Leutenegger, AJ Davison
Neural Information Processing Systems (NIPS) 1, 2017
32017
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Articles 1–20