default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Other persons with a similar name
- Neill W. Campbell
![[0009-0000-3974-7521]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0000-3974-7521")
— University of Bristol, Department of Computer Science, Bristol, UK
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j10]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)- [j9]Alexander D. J. Taylor, Phillip Tregidgo, Jonathan James Morrison, Neill D. F. Campbell:
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric. Trans. Mach. Learn. Res. 2024 (2024) - [c30]Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell:
Discrete Anomalous Regions (DAR) - Going Beyond Heatmaps and Predicting Actionable Discrete Regions. ISVC (2) 2024: 322-334 - [i24]Allen Paul, Neill D. F. Campbell, Tony Shardlow:
Sparse Nystrom Approximation of Currents and Varifolds. CoRR abs/2406.09932 (2024) - 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 - [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
- [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 - [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
- [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) - [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 - [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
- [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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 - [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) - 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) - [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
- [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) - [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 - [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) - 2014
- [j2]Neill D. F. Campbell, Jan Kautz:
Learning a manifold of fonts. ACM Trans. Graph. 33(4): 91:1-91:11 (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 - 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)
2000 – 2009
- 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
Coauthor Index
aka: Ivor Simpson
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-18 01:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
