Skip to content

Neill D. F. Campbell

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

25

Venues

12

Active years

2007–2025

Best venue rank

A*

Where they publish

Papers

25 indexed papers, newest first.

YearVenueTitleAuthors
2025MICCAIBayesian MRI Reconstruction with Structured Uncertainty Distributions.Teo Deveney, Ivor Simpson, Neill D. F. Campbell
2024BMVCAdvancing Anomaly Detection: The IDW dataset and MC algorithm.Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell
2024ISVCDiscrete Anomalous Regions (DAR) - Going Beyond Heatmaps and Predicting Actionable Discrete Regions.Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell
2023BMVCLikelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models.Joseph S. Goodier, Neill D. F. Campbell
2022AISTATSAligned Multi-Task Gaussian Process.Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellstrm, Carl Henrik Ek, Neill D. F. Campbell
2022BMVCAnalysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching.Cangxiong Chen, Neill D. F. Campbell
2022CVPRLearning Structured Gaussians to Approximate Deep Ensembles.Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
2021WACVActive 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
2020AISTATSMonotonic Gaussian Process Flows.Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2020CVPRThe GAN That Warped: Semantic Attribute Editing With Unpaired Data.Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson
2020UAICompositional uncertainty in deep Gaussian processes.Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2019AISTATSGaussian Process Latent Variable Alignment Learning.Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2019ICMLDP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures.Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2018ACCVGaussian 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
2018CVPRStructured Uncertainty Prediction Networks.Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson
2018CVPRDiverseNet: When One Right Answer Is Not Enough.Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
2017CHIResponsive Action-based Video Synthesis.Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow
2015CVPRModeling object appearance using Context-Conditioned Component Analysis.Daniyar Turmukhambetov, Neill D. F. Campbell, Simon J. D. Prince, Jan Kautz
2015ICCVDirect, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video.Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito
2014ACCVUser Directed Multi-view-stereo.Yotam Doron, Neill D. F. Campbell, Jonathan Starck, Jan Kautz
2014CVPRHierarchical Subquery Evaluation for Active Learning on a Graph.Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
2013CVPRFully-Connected CRFs with Non-Parametric Pairwise Potential.Neill D. F. Campbell, Kartic Subr, Jan Kautz
2012ECCVPatch Based Synthesis for Single Depth Image Super-Resolution.Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow
2008ECCVUsing Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo.Neill D. F. Campbell, George Vogiatzis, Carlos Hernndez, Roberto Cipolla
2007BMVCAutomatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts.Neill D. F. Campbell, George Vogiatzis, Carlos Hernndez Esteban, Roberto Cipolla