Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts. - Neill D. F. Campbell; George Vogiatzis; Carlos Hernández Esteban; Roberto Cipolla (BMVC, 2007)

Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo. - Neill D. F. Campbell; George Vogiatzis; Carlos Hernández 002; Roberto Cipolla (ECCV (1), 2008)

Automatic 3D object segmentation in multiple views using volumetric graph-cuts. - Neill D. F. Campbell; George Vogiatzis; Carlos Hernández 002; Roberto Cipolla (Image Vis. Comput., 2010)

Automatic Object Segmentation from Calibrated Images. - Neill D. F. Campbell; George Vogiatzis; Carlos Hernández 002; Roberto Cipolla (CVMP, 2011)

Patch Based Synthesis for Single Depth Image Super-Resolution. - Oisin Mac Aodha; Neill D. F. Campbell; Arun Nair; Gabriel J. Brostow (ECCV (3), 2012)

Fully-Connected CRFs with Non-Parametric Pairwise Potential. - Neill D. F. Campbell; Kartic Subr; Jan Kautz (CVPR, 2013)

User Directed Multi-view-stereo. - Yotam Doron; Neill D. F. Campbell; Jonathan Starck; Jan Kautz (ACCV Workshops (2), 2014)

Hierarchical Subquery Evaluation for Active Learning on a Graph. - Oisin Mac Aodha; Neill D. F. Campbell; Jan Kautz; Gabriel J. Brostow (CVPR, 2014)

Learning a manifold of fonts. - Neill D. F. Campbell; Jan Kautz (ACM Trans. Graph., 2014)

Modeling object appearance using Context-Conditioned Component Analysis. - Daniyar Turmukhambetov; Neill D. F. Campbell; Simon J. D. Prince; Jan Kautz (CVPR, 2015)

Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. - Rui Yu; Chris Russell 001; Neill D. F. Campbell; Lourdes Agapito (ICCV, 2015)

Interactive Sketch-Driven Image Synthesis. - Daniyar Turmukhambetov; Neill D. F. Campbell; Dan B. Goldman; Jan Kautz (Comput. Graph. Forum, 2015)

Reading Between the Dots: Combining 3D Markers and FACS Classification for High-Quality Blendshape Facial Animation. - Shridhar Ravikumar; Colin Davidson; Dmitry Kit; Neill D. F. Campbell; Luca Benedetti; Darren Cosker (Graphics Interface, 2016)

Improving and Optimising Visualisations of Full-waveform LiDAR Data. - Milto Miltiadou; Neill D. F. Campbell; Matthew Brown 001; Darren Cosker; Michael G. Grant (CGVC, 2016)

Fitting quadrics with a Bayesian prior. - Daniel Beale; Yong-Liang Yang; Neill D. F. Campbell; Darren Cosker; Peter Hall 001 (Comput. Vis. Media, 2016)

Roto++: accelerating professional rotoscoping using shape manifolds. - Wenbin Li 002; Fabio Viola; Jonathan Starck; Gabriel J. Brostow; Neill D. F. Campbell (ACM Trans. Graph., 2016)

Responsive Action-based Video Synthesis. - Corneliu Ilisescu; Halil Aytac Kanaci; Matteo Romagnoli; Neill D. F. Campbell; Gabriel J. Brostow (CHI, 2017)

Laplacian Pyramid of Conditional Variational Autoencoders. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Simon Prince; Ivor Simpson (CVMP, 2017)

Latent Gaussian Process Regression. - Erik Bodin; Neill D. F. Campbell; Carl Henrik Ek (CoRR, 2017)

Nonparametric Inference for Auto-Encoding Variational Bayes. - Erik Bodin; Iman Malik; Carl Henrik Ek; Neill D. F. Campbell (CoRR, 2017)

Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. - Alessandro Di Martino; Erik Bodin; Carl Henrik Ek; Neill D. F. Campbell (ACCV (4), 2018)

Structured Uncertainty Prediction Networks. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Ivor Simpson (CVPR, 2018)

DiverseNet: When One Right Answer Is Not Enough. - Michael Firman; Neill D. F. Campbell; Lourdes Agapito; Gabriel J. Brostow (CVPR, 2018)

Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. - Milto Miltiadou; Neill D. F. Campbell; Susana Gonzalez Aracil; Tony Brown; Michael G. Grant (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Training VAEs Under Structured Residuals. - Garoe Dorta; Sara Vicente; Lourdes Agapito; Neill D. F. Campbell; Ivor Simpson (CoRR, 2018)

Sequence Alignment with Dirichlet Process Mixtures. - Ieva Kazlauskaite; Ivan Ustyuzhaninov; Carl Henrik Ek; Neill D. F. Campbell (CoRR, 2018)

Gaussian Process Latent Variable Alignment Learning. - Ieva Kazlauskaite; Carl Henrik Ek; Neill D. F. Campbell (AISTATS, 2019)

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. - Andrew R. Lawrence; Carl Henrik Ek; Neill D. F. Campbell (ICML, 2019)

Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. - Chris Russell 001; Matteo Toso; Neill D. F. Campbell (NeurIPS, 2019)

Monotonic Gaussian Process Flow. - Ivan Ustyuzhaninov; Ieva Kazlauskaite; Carl Henrik Ek; Neill D. F. Campbell (CoRR, 2019)

Modulated Bayesian Optimization using Latent Gaussian Process Models. - Erik Bodin; Markus Kaiser 001; Ieva Kazlauskaite; Neill D. F. Campbell; Carl Henrik Ek (CoRR, 2019)

MegaParallax: Casual 360° Panoramas with Motion Parallax. - Tobias Bertel; Neill D. F. Campbell; Christian Richardt (IEEE Trans. Vis. Comput. Graph., 2019)

Monotonic Gaussian Process Flows. - Ivan Ustyuzhaninov; Ieva Kazlauskaite; Carl Henrik Ek; Neill D. F. Campbell (AISTATS, 2020)

The GAN That Warped: Semantic Attribute Editing With Unpaired Data. - Garoe Dorta; Sara Vicente; Neill D. F. Campbell; Ivor J. A. Simpson (CVPR, 2020)

Compositional uncertainty in deep Gaussian processes. - Ivan Ustyuzhaninov; Ieva Kazlauskaite; Markus Kaiser 001; Erik Bodin; Neill D. F. Campbell; Carl Henrik Ek (UAI, 2020)

Black-box density function estimation using recursive partitioning. - Erik Bodin; Zhenwen Dai; Neill D. F. Campbell; Carl Henrik Ek (CoRR, 2020)

Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs. - Adwaye Rambojun; William Tillett; Tony Shardlow; Neill D. F. Campbell (WACV, 2021)

Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification. - Cangxiong Chen; Neill D. F. Campbell (CoRR, 2021)

A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation. - Milto Miltiadou; Neill D. F. Campbell; Darren Cosker; Michael G. Grant (Remote. Sens., 2021)

Aligned Multi-Task Gaussian Process. - Olga Mikheeva; Ieva Kazlauskaite; Adam Hartshorne; Hedvig Kjellström; Carl Henrik Ek; Neill D. F. Campbell (AISTATS, 2022)

Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. - Cangxiong Chen; Neill D. F. Campbell (BMVC, 2022)

Learning Structured Gaussians to Approximate Deep Ensembles. - Ivor J. A. Simpson; Sara Vicente; Neill D. F. Campbell (CVPR, 2022)

Cell Anomaly Localisation using Structured Uncertainty Prediction Networks. - Boyko Vodenicharski; Samuel McDermott; Katherine M. Webber; Viola Introini; Pietro Cicuta; Richard W. Bowman; Ivor J. A. Simpson; Neill D. F. Campbell (MIDL, 2022)

Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. - Margaret Duff; Ivor J. A. Simpson; Matthias J. Ehrhardt; Neill D. F. Campbell (CoRR, 2022)

Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. - Joseph S. Goodier; Neill D. F. Campbell (BMVC, 2023)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Advancing Anomaly Detection: The IDW dataset and MC algorithm. - Alexander D. J. Taylor; Jonathan James Morrison; Phillip Tregidgo; Neill D. F. Campbell (BMVC, 2024)

Discrete Anomalous Regions (DAR) - Going Beyond Heatmaps and Predicting Actionable Discrete Regions. - Alexander D. J. Taylor; Jonathan James Morrison; Phillip Tregidgo; Neill D. F. Campbell (ISVC (2), 2024)

Sparse Nystrom Approximation of Currents and Varifolds. - Allen Paul; Neill D. F. Campbell; Tony Shardlow (CoRR, 2024)

VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric. - Alexander D. J. Taylor; Phillip Tregidgo; Jonathan James Morrison; Neill D. F. Campbell (Trans. Mach. Learn. Res., 2024)

Regularising Inverse Problems with Generative Machine Learning Models. - Margaret Duff; Neill D. F. Campbell; Matthias J. Ehrhardt (J. Math. Imaging Vis., 2024)

Sparse Randomized Approximation of Normal Cycles. - Allen Paul; Neill D. F. Campbell; Tony Shardlow (CoRR, 2025)

ARC-Flow : Articulated, Resolution-Agnostic, Correspondence-Free Matching and Interpolation of 3D Shapes Under Flow Fields. - Adam Hartshorne; Allen Paul; Tony Shardlow; Neill D. F. Campbell (CoRR, 2025)

Gaussian Process Diffeomorphic Statistical Shape Modelling Outperforms Angle-Based Methods for Assessment of Hip Dysplasia. - Allen Paul; George Grammatopoulos; Adwaye Rambojun; Neill D. F. Campbell; Harinderjit S. Gill; Tony Shardlow (CoRR, 2025)