Ronald Clark
Ronald Clark
Verifierad e-postadress på imperial.ac.uk - Startsida
Citeras av
Citeras av
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
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
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
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
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 32, 2019
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
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
Anomaly detection for time series using vae-lstm hybrid model
S Lin, R Clark, R Birke, S Schönborn, N Trigoni, S Roberts
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
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
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
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
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
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
Uncovering latent style factors for expressive speech synthesis
Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ...
arXiv preprint arXiv:1711.00520, 2017
Terminerf: Ray termination prediction for efficient neural rendering
M Piala, R Clark
2021 International Conference on 3D Vision (3DV), 1106-1114, 2021
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
Pointloc: Deep pose regressor for lidar point cloud localization
W Wang, B Wang, P Zhao, C Chen, R Clark, B Yang, A Markham, ...
IEEE Sensors Journal 22 (1), 959-968, 2021
Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model.
T Kenter, M Sharma, R Clark
INTERSPEECH 2020, 4412-4416, 2020
Learning meshes for dense visual SLAM
M Bloesch, T Laidlow, R Clark, S Leutenegger, AJ Davison
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Scalable uncertainty for computer vision with functional variational inference
EDC Carvalho, R Clark, A Nicastro, PHJ Kelly
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20