Neill D. F. Campbell

74 papers A* 11A 9B 1Journal 41Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compression of Currents and Varifolds. SIAM J. Imaging Sci. Allen Paul, Neill D. F. Campbell, Tony Shardlow
2026	J	`jnl`	Structured SIR: Efficient and Expressive Importance-Weighted Inference for High-Dimensional Image Registration. CoRR Ivor J. A. Simpson, Neill D. F. Campbell
2025	J	`jnl`	ARC-Flow : Articulated, Resolution-Agnostic, Correspondence-Free Matching and Interpolation of 3D Shapes Under Flow Fields. CoRR Adam Hartshorne, Allen Paul, Tony Shardlow, Neill D. F. Campbell
2025	—	`conf`	ARC-Flow: Articulated, Resolution-Agnostic, Correspondence-Free Matching and Interpolation of 3D Shapes Under Flow Fields. 3DV Adam Hartshorne, Allen Paul, Tony Shardlow, Neill D. F. Campbell
2025	—	`conf`	Bayesian MRI Reconstruction with Structured Uncertainty Distributions. UNSURE@MICCAI Teo Deveney, Ivor Simpson, Neill D. F. Campbell
2025	J	`jnl`	Curvature Enthusiasm: Correspondence-Free Interpolation and Matching of Articulated 3D Shapes using Compressed Normal Cycles. ACM Trans. Graph. Adam Hartshorne, Allen Paul, Tony Shardlow, Neill D. F. Campbell
2025	J	`jnl`	Gaussian Process Diffeomorphic Statistical Shape Modelling Outperforms Angle-Based Methods for Assessment of Hip Dysplasia. CoRR Allen Paul, George Grammatopoulos, Adwaye Rambojun, Neill D. F. Campbell, Harinderjit S. Gill, Tony Shardlow
2025	J	`jnl`	Sparse Randomized Approximation of Normal Cycles. CoRR Allen Paul, Neill D. F. Campbell, Tony Shardlow
2025	J	`jnl`	Structured Uncertainty Similarity Score (SUSS): Learning a Probabilistic, Interpretable, Perceptual Metric Between Images. CoRR Paula Seidler, Neill D. F. Campbell, Ivor J. A. Simpson
2024	A	`conf`	Advancing Anomaly Detection: The IDW dataset and MC algorithm. BMVC Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell
2024	—	`conf`	Discrete Anomalous Regions (DAR) - Going Beyond Heatmaps and Predicting Actionable Discrete Regions. ISVC (2) Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell
2024	J	`jnl`	Regularising Inverse Problems with Generative Machine Learning Models. J. Math. Imaging Vis. Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
2024	J	`jnl`	Sparse Nystrom Approximation of Currents and Varifolds. CoRR Allen Paul, Neill D. F. Campbell, Tony Shardlow
2024	J	`jnl`	VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric. Trans. Mach. Learn. Res. Alexander D. J. Taylor, Phillip Tregidgo, Jonathan James Morrison, Neill D. F. Campbell
2023	A	`conf`	Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. BMVC Joseph S. Goodier, Neill D. F. Campbell
2023	J	`jnl`	Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models. CoRR Joseph S. Goodier, Neill D. F. Campbell
2023	—	`conf`	The Robust Semantic Segmentation UNCV2023 Challenge Results. ICCV (Workshops) 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
2023	J	`jnl`	The Robust Semantic Segmentation UNCV2023 Challenge Results. CoRR 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
2022	A	`conf`	Aligned Multi-Task Gaussian Process. AISTATS Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
2022	A	`conf`	Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. BMVC Cangxiong Chen, Neill D. F. Campbell
2022	J	`jnl`	Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching. CoRR Cangxiong Chen, Neill D. F. Campbell
2022	—	`conf`	Cell Anomaly Localisation using Structured Uncertainty Prediction Networks. MIDL Boyko Vodenicharski, Samuel McDermott, Katherine M. Webber, Viola Introini, Pietro Cicuta, Richard W. Bowman, Ivor J. A. Simpson, Neill D. F. Campbell
2022	J	`jnl`	Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. CoRR Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell
2022	A*	`conf`	Learning Structured Gaussians to Approximate Deep Ensembles. CVPR Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
2022	J	`jnl`	Learning Structured Gaussians to Approximate Deep Ensembles. CoRR Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell
2021	J	`jnl`	A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation. Remote. Sens. Milto Miltiadou, Neill D. F. Campbell, Darren Cosker, Michael G. Grant
2021	A	`conf`	Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs. WACV Adwaye Rambojun, William Tillett, Tony Shardlow, Neill D. F. Campbell
2021	J	`jnl`	Aligned Multi-Task Gaussian Process. CoRR Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell
2021	J	`jnl`	Regularising Inverse Problems with Generative Machine Learning Models. CoRR Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
2021	J	`jnl`	Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification. CoRR Cangxiong Chen, Neill D. F. Campbell
2020	J	`jnl`	Black-box density function estimation using recursive partitioning. CoRR Erik Bodin, Zhenwen Dai, Neill D. F. Campbell, Carl Henrik Ek
2020	A	`conf`	Compositional uncertainty in deep Gaussian processes. UAI Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2020	J	`jnl`	DiverseNet: When One Right Answer is not Enough. CoRR Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
2020	A	`conf`	Monotonic Gaussian Process Flows. AISTATS Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2020	A*	`conf`	The GAN That Warped: Semantic Attribute Editing With Unpaired Data. CVPR Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson
2019	J	`jnl`	Compositional uncertainty in deep Gaussian processes. CoRR Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2019	A*	`conf`	DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. ICML Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2019	A*	`conf`	Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. NeurIPS Chris Russell, Matteo Toso, Neill D. F. Campbell
2019	A	`conf`	Gaussian Process Latent Variable Alignment Learning. AISTATS Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2019	J	`jnl`	MegaParallax: Casual 360° Panoramas with Motion Parallax. IEEE Trans. Vis. Comput. Graph. Tobias Bertel, Neill D. F. Campbell, Christian Richardt
2019	J	`jnl`	Modulated Bayesian Optimization using Latent Gaussian Process Models. CoRR Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
2019	J	`jnl`	Monotonic Gaussian Process Flow. CoRR Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures. CoRR Andrew R. Lawrence, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. Int. J. Appl. Earth Obs. Geoinformation Milto Miltiadou, Neill D. F. Campbell, Susana Gonzalez Aracil, Tony Brown, Michael G. Grant
2018	A*	`conf`	DiverseNet: When One Right Answer Is Not Enough. CVPR Michael Firman, Neill D. F. Campbell, Lourdes Agapito, Gabriel J. Brostow
2018	—	`conf`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. ACCV (4) Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation. CoRR Alessandro Di Martino, Erik Bodin, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Gaussian Process Latent Variable Alignment Learning. CoRR Ieva Kazlauskaite, Carl Henrik Ek, Neill D. F. Campbell
2018	J	`jnl`	Sequence Alignment with Dirichlet Process Mixtures. CoRR Ieva Kazlauskaite, Ivan Ustyuzhaninov, Carl Henrik Ek, Neill D. F. Campbell
2018	A*	`conf`	Structured Uncertainty Prediction Networks. CVPR Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson
2018	J	`jnl`	The GAN that Warped: Semantic Attribute Editing with Unpaired Data. CoRR Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor Simpson
2018	J	`jnl`	Training VAEs Under Structured Residuals. CoRR Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Ivor Simpson
2017	—	`conf`	Laplacian Pyramid of Conditional Variational Autoencoders. CVMP Garoe Dorta, Sara Vicente, Lourdes Agapito, Neill D. F. Campbell, Simon Prince, Ivor Simpson
2017	J	`jnl`	Latent Gaussian Process Regression. CoRR Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek
2017	J	`jnl`	Nonparametric Inference for Auto-Encoding Variational Bayes. CoRR Erik Bodin, Iman Malik, Carl Henrik Ek, Neill D. F. Campbell
2017	A*	`conf`	Responsive Action-based Video Synthesis. CHI Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow
2017	J	`jnl`	Responsive Action-based Video Synthesis. CoRR Corneliu Ilisescu, Halil Aytac Kanaci, Matteo Romagnoli, Neill D. F. Campbell, Gabriel J. Brostow
2016	J	`jnl`	Fitting quadrics with a Bayesian prior. Comput. Vis. Media Daniel Beale, Yong-Liang Yang, Neill D. F. Campbell, Darren Cosker, Peter Hall
2016	—	`conf`	Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant
2016	B	`conf`	Reading Between the Dots: Combining 3D Markers and FACS Classification for High-Quality Blendshape Facial Animation. Graphics Interface Shridhar Ravikumar, Colin Davidson, Dmitry Kit, Neill D. F. Campbell, Luca Benedetti, Darren Cosker
2016	J	`jnl`	Roto++: accelerating professional rotoscoping using shape manifolds. ACM Trans. Graph. Wenbin Li, Fabio Viola, Jonathan Starck, Gabriel J. Brostow, Neill D. F. Campbell
2015	A*	`conf`	Direct, Dense, and Deformable: Template-Based Non-rigid 3D Reconstruction from RGB Video. ICCV Rui Yu, Chris Russell, Neill D. F. Campbell, Lourdes Agapito
2015	J	`jnl`	Hierarchical Subquery Evaluation for Active Learning on a Graph. CoRR Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
2015	J	`jnl`	Interactive Sketch-Driven Image Synthesis. Comput. Graph. Forum Daniyar Turmukhambetov, Neill D. F. Campbell, Dan B. Goldman, Jan Kautz
2015	A*	`conf`	Modeling object appearance using Context-Conditioned Component Analysis. CVPR Daniyar Turmukhambetov, Neill D. F. Campbell, Simon J. D. Prince, Jan Kautz
2014	A*	`conf`	Hierarchical Subquery Evaluation for Active Learning on a Graph. CVPR Oisin Mac Aodha, Neill D. F. Campbell, Jan Kautz, Gabriel J. Brostow
2014	J	`jnl`	Learning a manifold of fonts. ACM Trans. Graph. Neill D. F. Campbell, Jan Kautz
2014	—	`conf`	User Directed Multi-view-stereo. ACCV Workshops (2) Yotam Doron, Neill D. F. Campbell, Jonathan Starck, Jan Kautz
2013	A*	`conf`	Fully-Connected CRFs with Non-Parametric Pairwise Potential. CVPR Neill D. F. Campbell, Kartic Subr, Jan Kautz
2012	—	`conf`	Patch Based Synthesis for Single Depth Image Super-Resolution. ECCV (3) Oisin Mac Aodha, Neill D. F. Campbell, Arun Nair, Gabriel J. Brostow
2011	—	`conf`	Automatic Object Segmentation from Calibrated Images. CVMP Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla
2010	J	`jnl`	Automatic 3D object segmentation in multiple views using volumetric graph-cuts. Image Vis. Comput. Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla
2008	—	`conf`	Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo. ECCV (1) Neill D. F. Campbell, George Vogiatzis, Carlos Hernández, Roberto Cipolla
2007	A	`conf`	Automatic 3D Object Segmentation in Multiple Views using Volumetric Graph-Cuts. BMVC Neill D. F. Campbell, George Vogiatzis, Carlos Hernández Esteban, Roberto Cipolla