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Neill D.F. Campbell
Neill D.F. Campbell
Royal Society Industry Fellow and Professor at the University of Bath
Verified email at bath.ac.uk - Homepage
Title
Cited by
Cited by
Year
Using multiple hypotheses to improve depth-maps for multi-view stereo
NDF Campbell, G Vogiatzis, C Hernández, R Cipolla
European Conference on Computer Vision, 766-779, 2008
4972008
Patch Based Synthesis for Single Depth Image Super-Resolution
O Mac Aodha, NDF Campbell, A Nair, GJ Brostow
European Conference on Computer Vision, 2012
2552012
Hierarchical subquery evaluation for active learning on a graph
O Mac Aodha, NDF Campbell, J Kautz, G Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
2462014
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
NDF Campbell, G Vogiatzis, C Hernandez, R Cipolla
Image and Vision Computing 28 (1), 14-25, 2010
2082010
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
NDF Campbell, G Vogiatzis, C Hernández, R Cipolla
British Machine Vision Conference 1, 530-539, 2007
2082007
Learning a manifold of fonts
NDF Campbell, J Kautz
ACM Transactions on Graphics 33 (4), 2014
1712014
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction from RGB Video
R Yu, C Russell, NDF Campbell, L Agapito
IEEE International Conference on Computer Vision (ICCV 2016), 2015
1082015
Structured Uncertainty Prediction Networks
G Dorta, S Vicente, L Agapito, NDF Campbell, I Simpson
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
762018
MegaParallax: Casual 360° Panoramas with Motion Parallax
T Bertel, NDF Campbell, C Richardt
IEEE transactions on visualization and computer graphics 25 (5), 1828-1835, 2019
522019
Roto++: accelerating professional rotoscoping using shape manifolds
W Li, F Viola, J Starck, GJ Brostow, NDF Campbell
ACM Transactions on Graphics, 2016
512016
Automatic Object Segmentation from Calibrated Images
NDF Campbell, G Vogiatzis, C Hernandez, R Cipolla
European Conference on Visual Media Production (CVMP), 126-137, 2011
512011
Regularising Inverse Problems with Generative Machine Learning Models
M Duff, NDF Campbell, MJ Ehrhardt
arXiv preprint arXiv:2107.11191, 2021
362021
DiverseNet: When One Right Answer is not Enough
M Firman, NDF Campbell, L Agapito, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
362018
032 A novel human-assisted computer algorithm for identification of hand bones on plain radiographs in psoriatic arthritis
AM Rambojun, W Tillett, NDF Campbell, T Shardlow
Rheumatology 58 (Supplement_3), kez106. 031, 2019
34*2019
Fully-Connected CRFs with Non-Parametric Pairwise Potentials
NDF Campbell, K Subr, J Kautz
IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2013
342013
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification
C Chen, NDF Campbell
arXiv preprint arXiv:2111.10178, 2021
272021
The GAN that warped: Semantic attribute editing with unpaired data
G Dorta, S Vicente, NDF Campbell, IJA Simpson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
272020
Gaussian process latent variable alignment learning
I Kazlauskaite, CH Ek, N Campbell
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
252019
Monotonic Gaussian Process Flows
I Ustyuzhaninov, I Kazlauskaite, CH Ek, N Campbell
International Conference on Artificial Intelligence and Statistics, 3057-3067, 2020
242020
Compositional uncertainty in deep Gaussian processes
I Ustyuzhaninov, I Kazlauskaite, M Kaiser, E Bodin, NDF Campbell, CH Ek
Conference on Uncertainty in Artificial Intelligence, 480-489, 2020
232020
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