Seuraa
Dylan Campbell
Dylan Campbell
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
9712016
Learning to estimate hidden motions with global motion aggregation
S Jiang, D Campbell, Y Lu, H Li, R Hartley
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
2642021
Keeping your eye on the ball: Trajectory attention in video transformers
M Patrick, D Campbell, Y Asano, I Misra, F Metze, C Feichtenhofer, ...
Advances in Neural Information Processing Systems 34, 12493-12506, 2021
2052021
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
1352020
Deep declarative networks
S Gould, R Hartley, D Campbell
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 3988-4004, 2021
1312021
GOGMA: Globally-Optimal Gaussian Mixture Alignment.
D Campbell, L Petersson
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5685 …, 2016
1102016
Spatially conditioned graphs for detecting human-object interactions
FZ Zhang, D Campbell, S Gould
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
902021
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
832021
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
832015
Efficient two-stage detection of human-object interactions with a novel unary-pairwise transformer
FZ Zhang, D Campbell, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
652022
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
652017
Solving the blind perspective-n-point problem end-to-end with robust differentiable geometric optimization
D Campbell, L Liu, S Gould
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
542020
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
502020
Zero-shot learning on 3d point cloud objects and beyond
A Cheraghian, S Rahman, TF Chowdhury, D Campbell, L Petersson
International Journal of Computer Vision 130 (10), 2364-2384, 2022
412022
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
402018
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
372019
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
342019
Robotic vision for human-robot interaction and collaboration: A survey and systematic review
N Robinson, B Tidd, D Campbell, D Kulić, P Corke
ACM Transactions on Human-Robot Interaction 12 (1), 1-66, 2023
252023
Deep novel view synthesis from colored 3d point clouds
Z Song, W Chen, D Campbell, H Li
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
232020
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
222020
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