Dylan Campbell
Dylan Campbell
Research Fellow, University of Oxford
Vahvistettu sähköpostiosoite verkkotunnuksessa anu.edu.au - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Go-ICP: a globally optimal solution to 3D ICP point-set registration
J Yang, H Li, D Campbell, Y Jia
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (11), 2241 …, 2016
4252016
GOGMA: Globally-Optimal Gaussian Mixture Alignment.
D Campbell, L Petersson
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5685 …, 2016
622016
An Adaptive Data Representation for Robust Point-Set Registration and Merging.
D Campbell, L Petersson
2015 IEEE International Conference on Computer Vision (ICCV), 4292-4300, 2015
552015
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
D Campbell, L Petersson, L Kneip, H Li
2017 IEEE International Conference on Computer Vision (ICCV), 1-10, 2017
482017
Deep declarative networks: A new hope
S Gould, R Hartley, D Campbell
arXiv preprint arXiv:1909.04866, 2019
272019
Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation
DJ Campbell, L Petersson, L Kneip, H Li
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
152018
Where am i looking at? joint location and orientation estimation by cross-view matching
Y Shi, X Yu, D Campbell, H Li
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
102020
Metric-based detection of robot kidnapping
D Campbell, M Whitty
2013 European Conference on Mobile Robots (ECMR), 192-197, 2013
102013
Mobile 3D indoor mapping using the continuous normal distributions transform
D Campbell, M Whitty, S Lim
2012 International Conference on Indoor Positioning and Indoor Navigation …, 2012
102012
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
A Cheraghian, S Rahman, D Campbell, L Petersson
2019 British Machine Vision Conference (BMVC), 2019
82019
The alignment of the spheres: Globally-optimal spherical mixture alignment for camera pose estimation
D Campbell, L Petersson, L Kneip, H Li, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
82019
Transductive zero-shot learning for 3d point cloud classification
A Cheraghian, S Rahman, D Campbell, L Petersson
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
62020
The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose
Y Ben-Shabat, X Yu, F Saleh, D Campbell, C Rodriguez-Opazo, H Li, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
52021
Learning 2d-3d correspondences to solve the blind perspective-n-point problem
L Liu, D Campbell, H Li, D Zhou, X Song, R Yang
arXiv preprint arXiv:2003.06752, 2020
52020
Deep declarative networks
S Gould, R Hartley, DJ Campbell
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
22021
Deep Novel View Synthesis from Colored 3D Point Clouds
Z Song, W Chen, D Campbell, H Li
European Conference on Computer Vision, 1-17, 2020
22020
Solving the blind perspective-n-point problem end-to-end with robust differentiable geometric optimization
D Campbell, L Liu, S Gould
European Conference on Computer Vision, 244-261, 2020
22020
Metric-based detection of robot kidnapping with an SVM classifier
D Campbell, M Whitty
Robotics and Autonomous Systems 69, 40-51, 2015
22015
Zero-Shot Learning on 3D Point Cloud Objects and Beyond
A Cheraghian, S Rahman, TF Chowdhury, D Campbell, L Petersson
arXiv preprint arXiv:2104.04980, 2021
12021
Learning to Estimate Hidden Motions with Global Motion Aggregation
S Jiang, D Campbell, Y Lu, H Li, R Hartley
arXiv preprint arXiv:2104.02409, 2021
12021
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Artikkelit 1–20