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ORCIDNeill D. F. Campbell
Person information
- affiliation: University of Bath, Department of Computer Science, Bath, UK
- affiliation: University College London, Department of Computer Science, London, UK
- affiliation: University of Cambridge, Department of Engineering, Cambridge, UK
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Journal Articles
- 2024
[j9]Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
:
Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. 66(1): 37-56 (2024)- 2021
- [j8]Milto Miltiadou, Neill D. F. Campbell, Darren Cosker, Michael G. Grant:
A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation. Remote. Sens. 13(4): 559 (2021) - 2019
- [j7]Tobias Bertel, Neill D. F. Campbell, Christian Richardt:
MegaParallax: Casual 360° Panoramas with Motion Parallax. IEEE Trans. Vis. Comput. Graph. 25(5): 1828-1835 (2019) - 2018
- [j6]Milto Miltiadou, Neill D. F. Campbell, Susana Gonzalez Aracil, Tony Brown, Michael G. Grant:
Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. Int. J. Appl. Earth Obs. Geoinformation 67: 135-147 (2018) - 2016
- [j5]Daniel Beale, Yong-Liang Yang, Neill D. F. Campbell, Darren Cosker, Peter Hall:
Fitting quadrics with a Bayesian prior. Comput. Vis. Media 2(2): 107-117 (2016) - [j4]Wenbin Li, Fabio Viola, Jonathan Starck, Gabriel J. Brostow, Neill D. F. Campbell:
Roto++: accelerating professional rotoscoping using shape manifolds. ACM Trans. Graph. 35(4): 62:1-62:15 (2016) - 2015
- [j3]Daniyar Turmukhambetov, Neill D. F. Campbell, Dan B. Goldman, Jan Kautz:
Interactive Sketch-Driven Image Synthesis. Comput. Graph. Forum 34(8): 130-142 (2015) - 2014
- [j2]Neill D. F. Campbell, Jan Kautz:
Learning a manifold of fonts. ACM Trans. Graph. 33(4): 91:1-91:11 (2014) - 2010
- [j1]Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla:
Automatic 3D object segmentation in multiple views using volumetric graph-cuts. Image Vis. Comput. 28(1): 14-25 (2010)
Conference and Workshop Papers
- 2023
- [c29]Joseph S. Goodier, Neill D. F. Campbell:
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. BMVC 2023: 94 - [c28]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 2023: 4620-4630 - 2022
- [c27]Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell:
Aligned Multi-Task Gaussian Process. AISTATS 2022: 2970-2988 - [c26]Cangxiong Chen, Neill D. F. Campbell:
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. BMVC 2022: 1009 - [c25]Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell:
Learning Structured Gaussians to Approximate Deep Ensembles. CVPR 2022: 366-374 - [c24]Boyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta, Richard W. Bowman, Ivor J. A. Simpson, Neill D. F. Campbell:
Cell Anomaly Localisation using Structured Uncertainty Prediction Networks. MIDL 2022: 1285-1300 - 2021
- [c23]Adwaye Rambojun, William Tillett, Tony Shardlow, Neill D. F. Campbell:
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs. WACV 2021: 2042-2051 - 2020
- [c22]Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell:
Monotonic Gaussian Process Flows. AISTATS 2020: 3057-3067 - [c21]Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson:
The GAN That Warped: Semantic Attribute Editing With Unpaired Data. CVPR 2020: 5355-5364 - [c20]Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek:
Compositional uncertainty in deep Gaussian processes. UAI 2020: 480-489 - 2019
- [c19]Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Latent Variable Alignment Learning. AISTATS 2019: 748-757 - [c18]Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell:
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. ICML 2019: 3682-3691 - [c17]Chris Russell, Matteo Toso, Neill D. F. Campbell:
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS 2019: 1474-1484 - 2018
- [c16]Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. ACCV (4) 2018: 3-20 - [c15]Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson:
Structured Uncertainty Prediction Networks. CVPR 2018: 5477-5485 - [c14]Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow:
DiverseNet: When One Right Answer Is Not Enough. CVPR 2018: 5598-5607 - 2017
- [c13]Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow:
Responsive Action-based Video Synthesis. CHI 2017: 6569-6580 - [c12]Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Simon Prince, Ivor Simpson:
Laplacian Pyramid of Conditional Variational Autoencoders. CVMP 2017: 7:1-7:9 - 2016
- [c11]Shridhar Ravikumar, Colin Davidson, Dmitry Kit, Neill D. F. Campbell, Luca Benedetti, Darren Cosker:
Reading Between the Dots: Combining 3D Markers and FACS Classification for High-Quality Blendshape Facial Animation. Graphics Interface 2016: 143-151 - [c10]Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant:
Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC 2016: 45-47 - 2015
- [c9]Daniyar Turmukhambetov, Neill D. F. Campbell, Simon J. D. Prince, Jan Kautz:
Modeling object appearance using Context-Conditioned Component Analysis. CVPR 2015: 4156-4164 - [c8]Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito:
Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. ICCV 2015: 918-926 - 2014
- [c7]Yotam Doron, Neill D. F. Campbell, Jonathan Starck, Jan Kautz:
User Directed Multi-view-stereo. ACCV Workshops (2) 2014: 299-313 - [c6]Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow:
Hierarchical Subquery Evaluation for Active Learning on a Graph. CVPR 2014: 564-571 - 2013
- [c5]Neill D. F. Campbell, Kartic Subr, Jan Kautz:
Fully-Connected CRFs with Non-Parametric Pairwise Potential. CVPR 2013: 1658-1665 - 2012
- [c4]Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow:
Patch Based Synthesis for Single Depth Image Super-Resolution. ECCV (3) 2012: 71-84 - 2011
- [c3]Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla:
Automatic Object Segmentation from Calibrated Images. CVMP 2011: 126-137 - 2008
- [c2]Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla:
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo. ECCV (1) 2008: 766-779 - 2007
- [c1]Neill D. F. Campbell, George Vogiatzis, Carlos Hernández Esteban, Roberto Cipolla:
Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts. BMVC 2007: 1-10
Informal and Other Publications
- 2023
- [i23]Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi:
The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR abs/2309.15478 (2023) - [i22]Joseph S. Goodier, Neill D. F. Campbell:
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. CoRR abs/2310.17432 (2023) - 2022
- [i21]Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell:
Learning Structured Gaussians to Approximate Deep Ensembles. CoRR abs/2203.15485 (2022) - [i20]Cangxiong Chen, Neill D. F. Campbell:
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. CoRR abs/2210.13231 (2022) - [i19]Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell:
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. CoRR abs/2210.14586 (2022) - 2021
- [i18]Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt:
Regularising Inverse Problems with Generative Machine Learning Models. CoRR abs/2107.11191 (2021) - [i17]Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell:
Aligned Multi-Task Gaussian Process. CoRR abs/2110.15761 (2021) - [i16]Cangxiong Chen, Neill D. F. Campbell:
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification. CoRR abs/2111.10178 (2021) - 2020
- [i15]Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow:
DiverseNet: When One Right Answer is not Enough. CoRR abs/2008.10634 (2020) - [i14]Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek:
Black-box density function estimation using recursive partitioning. CoRR abs/2010.13632 (2020) - 2019
- [i13]Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell:
Monotonic Gaussian Process Flow. CoRR abs/1905.12930 (2019) - [i12]Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek:
Modulated Bayesian Optimization using Latent Gaussian Process Models. CoRR abs/1906.11152 (2019) - [i11]Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek:
Compositional uncertainty in deep Gaussian processes. CoRR abs/1909.07698 (2019) - 2018
- [i10]Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Latent Variable Alignment Learning. CoRR abs/1803.02603 (2018) - [i9]Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson:
Training VAEs Under Structured Residuals. CoRR abs/1804.01050 (2018) - [i8]Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell:
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. CoRR abs/1807.04833 (2018) - [i7]Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell:
Sequence Alignment with Dirichlet Process Mixtures. CoRR abs/1811.10689 (2018) - [i6]Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor Simpson:
The GAN that Warped: Semantic Attribute Editing with Unpaired Data. CoRR abs/1811.12784 (2018) - [i5]Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell:
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. CoRR abs/1812.05477 (2018) - 2017
- [i4]Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow:
Responsive Action-based Video Synthesis. CoRR abs/1705.07273 (2017) - [i3]Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek:
Latent Gaussian Process Regression. CoRR abs/1707.05534 (2017) - [i2]Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell:
Nonparametric Inference for Auto-Encoding Variational Bayes. CoRR abs/1712.06536 (2017) - 2015
- [i1]Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow:
Hierarchical Subquery Evaluation for Active Learning on a Graph. CoRR abs/1504.08219 (2015)
Coauthor Index
aka: Ivor Simpson
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