Neill D. F. Campbell

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 50

Top Topics

Gaussian Process

Top Venues

Publications

Allen Paul, Neill D. F. Campbell, Tony Shardlow
Sparse Nystrom Approximation of Currents and Varifolds. CoRR (2024)
Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. 66 (1) (2024)
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)
Joseph S. Goodier, Neill D. F. Campbell
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. BMVC (2023)
Joseph Goodier, Neill D. F. Campbell
Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. CoRR (2023)
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 (2023)
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)
Cangxiong Chen, Neill D. F. Campbell
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. CoRR (2022)
Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
Learning Structured Gaussians to Approximate Deep Ensembles. CVPR (2022)
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 (2022)
Cangxiong Chen, Neill D. F. Campbell
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. BMVC (2022)
Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
Learning Structured Gaussians to Approximate Deep Ensembles. CoRR (2022)
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
Aligned Multi-Task Gaussian Process. AISTATS (2022)
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)
Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
Aligned Multi-Task Gaussian Process. CoRR (2021)
Cangxiong Chen, Neill D. F. Campbell
Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification. CoRR (2021)
Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
Regularising Inverse Problems with Generative Machine Learning Models. CoRR (2021)
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)
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) (2021)
Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
DiverseNet: When One Right Answer is not Enough. CoRR (2020)
Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek
Black-box density function estimation using recursive partitioning. CoRR (2020)
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
Monotonic Gaussian Process Flows. AISTATS (2020)
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
Compositional uncertainty in deep Gaussian processes. UAI (2020)
Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson
The GAN That Warped: Semantic Attribute Editing With Unpaired Data. CVPR (2020)
Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
Modulated Bayesian Optimization using Latent Gaussian Process Models. CoRR (2019)
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
Compositional uncertainty in deep Gaussian processes. CoRR (2019)
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)
Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
Gaussian Process Latent Variable Alignment Learning. AISTATS (2019)
Chris Russell, Matteo Toso, Neill D. F. Campbell
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS (2019)
Tobias Bertel, Neill D. F. Campbell, Christian Richardt
MegaParallax: Casual 360° Panoramas with Motion Parallax. IEEE Trans. Vis. Comput. Graph. 25 (5) (2019)
Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
Monotonic Gaussian Process Flow. CoRR (2019)
Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell
Sequence Alignment with Dirichlet Process Mixtures. CoRR (2018)
Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor Simpson
The GAN that Warped: Semantic Attribute Editing with Unpaired Data. CoRR (2018)
Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson
Training VAEs Under Structured Residuals. CoRR (2018)
Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. CoRR (2018)
Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
DiverseNet: When One Right Answer Is Not Enough. CVPR (2018)
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)
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 (2018)
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 (2018)
Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson
Structured Uncertainty Prediction Networks. CVPR (2018)
Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
Gaussian Process Latent Variable Alignment Learning. CoRR (2018)
Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell
Nonparametric Inference for Auto-Encoding Variational Bayes. CoRR (2017)
Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Simon Prince, Ivor Simpson
Laplacian Pyramid of Conditional Variational Autoencoders. CVMP (2017)
Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
Latent Gaussian Process Regression. CoRR (2017)
Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow
Responsive Action-based Video Synthesis. CoRR (2017)
Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow
Responsive Action-based Video Synthesis. CHI (2017)
Daniel Beale, Yong-Liang Yang, Neill D. F. Campbell, Darren Cosker, Peter Hall
Fitting quadrics with a Bayesian prior. Comput. Vis. Media 2 (2) (2016)
Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant
Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC (2016)
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)
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) (2016)
Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
Hierarchical Subquery Evaluation for Active Learning on a Graph. CoRR (2015)
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)
Daniyar Turmukhambetov, Neill D. F. Campbell, Simon J. D. Prince, Jan Kautz
Modeling object appearance using Context-Conditioned Component Analysis. CVPR (2015)
Daniyar Turmukhambetov, Neill D. F. Campbell, Dan B. Goldman, Jan Kautz
Interactive Sketch-Driven Image Synthesis. Comput. Graph. Forum 34 (8) (2015)
Neill D. F. Campbell, Jan Kautz
Learning a manifold of fonts. ACM Trans. Graph. 33 (4) (2014)
Yotam Doron, Neill D. F. Campbell, Jonathan Starck, Jan Kautz
User Directed Multi-view-stereo. ACCV Workshops (2) (2014)
Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
Hierarchical Subquery Evaluation for Active Learning on a Graph. CVPR (2014)
Neill D. F. Campbell, Kartic Subr, Jan Kautz
Fully-Connected CRFs with Non-Parametric Pairwise Potential. CVPR (2013)
Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow
Patch Based Synthesis for Single Depth Image Super-Resolution. ECCV (3) (2012)
Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla
Automatic Object Segmentation from Calibrated Images. CVMP (2011)
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) (2010)
Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo. ECCV (1) (2008)
Neill D. F. Campbell, George Vogiatzis, Carlos Hernández Esteban, Roberto Cipolla
Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts. BMVC (2007)