Neill Campbell
Professor of Inverse Problems
Works at the intersection of computer vision, graphics and probabilistic machine learning, including Gaussian process models for capturing shape and motion.
Neill Campbell's lab at UCL works on video understanding and probabilistic & causal inference. 11 papers since 2023, 3 at top venues, mostly BMVC and 3DV. 5 PhD students. 13 alumni.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 27%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 1
- 2 papers2024 · T1 1
- 3 papers2023 · T1 0
T1 venuesOtherVenues: BMVC, 3DV, ECCV, TMLR, TOG
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference3 papers
- Video understanding0 papers
- gaussian0 papers
- process0 papers
- probabilistic machine0 papers
Paper list
From the lab homepage.
20262 papers
- SIAM Journal on Imaging Sciences[DOI: 10.1137/24M1699656] (opens in a new tab)
- ECCV (T1)Structured SIR: Efficient and Expressive Importance-Weighted Inference for High-Dimensional Image Registration
20254 papers
- 3DVARC-Flow : Articulated, Resolution-Agnostic, Correspondence-Free Matching and Interpolation of 3D Shapes Under Flow Fields
- Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE), LNCSBayesian MRI Reconstruction with Structured Uncertainty Distributions
- RSS: Data Science and Artificial IntelligenceBeyond Quantification: Navigating Uncertainty in Professional AI Systems
- TOG (T1)Curvature Enthusiasm: Correspondence-Free Interpolation and Matching of Articulated 3D Shapes using Compressed Normal Cycles
20242 papers
- BMVCAdvancing Anomaly Detection: the IDW Dataset and the MultiCore Algorithm
- TMLR (T1)VisionAD, a Software Package of Performant Anomaly Detection Algorithms, and Proportion Localised, an Interpretable Metric
20233 papers
- BMVCLikelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models
- Journal of Mathematical Imaging and VisionRegularising Inverse Problems with Generative Machine Learning Models
- IoP Physics in Medicine and BiologyVAEs with Structured Image Covariance Applied to Compressed Sensing MRI
Where alumni went13 listed, 0% to industry
Industry 0Academia 1
Also to
- UCL
Apply to UCLFall 2027
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Computer Science MPhil/PhD
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- Members
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