The Delaunay/Voronoi Selection Graph: A Method for Extracting Shape Information from 2-D Dot-patterns with an Extension to 3-D. - Glynn P. Robinson; Lewis D. Griffin; Alan C. F. Colchester (BMVC, 1992)

Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation. - Glynn P. Robinson; Alan C. F. Colchester; Lewis D. Griffin; David J. Hawkes (ECCV, 1992)

A unified approach to the segmentation of grey-level and dot-pattern images. - Alan C. F. Colchester; Glynn P. Robinson; Lewis D. Griffin (ICPR (3), 1992)

Structure-sensitive scale and the hierarchical segmentation of gray-level images. - Lewis D. Griffin; Alan C. F. Colchester; Glynn P. Robinson; David John Hawkes (VBC, 1992)

Scale and segmentation of grey-level images using maximum gradient paths. - Lewis D. Griffin; Alan C. F. Colchester; Glynn P. Robinson (Image Vis. Comput., 1992)

Multi-scale Hierarchical Segmentation. - Lewis D. Griffin; Glynn P. Robinson; Alan C. F. Colchester (BMVC, 1993)

Hierarchical Segmentation Satisfying Constraints. - Lewis D. Griffin; Alan C. F. Colchester; S. A. Röll; Colin Studholme (BMVC, 1994)

Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors. - S. A. Röll; Alan C. F. Colchester; Paul E. Summers; Lewis D. Griffin (BMVC, 1994)

Model-based recognition of anatomical objects from medical images. - Glynn P. Robinson; Alan C. F. Colchester; Lewis D. Griffin (Image Vis. Comput., 1994)

Superficial and deep structure in linear diffusion scale space: isophotes, critical points and separatrices. - Lewis D. Griffin; Alan C. F. Colchester (Image Vis. Comput., 1995)

Scale-imprecision space. - Lewis D. Griffin (Image Vis. Comput., 1997)

Critical Point Events in Affine Scale-Space. - Lewis D. Griffin (Gaussian Scale-Space Theory, 1997)

Histograms of Infinitesimal Neighbourhoods. - Lewis D. Griffin (Scale-Space, 2001)

Features in Scale Space: Progress on the 2D 2nd Order Jet. - Elena Tagliati; Lewis D. Griffin (Scale-Space, 2001)

Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets. - Derek K. Jones; Lewis D. Griffin; Daniel C. Alexander; Marco Catani; Mark A. Horsfield; Robert J. Howard; Steven C. R. Williams (NeuroImage, 2002)

Mode Estimation Using Pessimistic Scale Space Tracking. - Lewis D. Griffin; Martin Lillholm (Scale-Space, 2003)

Feature-Based Image Analysis. - Martin Lillholm; Mads Nielsen; Lewis D. Griffin (Int. J. Comput. Vis., 2003)

Zen and the art of medical image registration: correspondence, homology, and quality. - William R. Crum; Lewis D. Griffin; Derek L. G. Hill; David John Hawkes (NeuroImage, 2003)

Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging? - Luiza Larsen; Lewis D. Griffin (ECCV Workshops CVAMIA and MMBIA, 2004)

Automatic Estimation of Error in Voxel-Based Registration. - William R. Crum; Lewis D. Griffin; David J. Hawkes (MICCAI (1), 2004)

Multi-channel Mutual Information Using Scale Space. - Mark Holden; Lewis D. Griffin; Nadeem Saeed; Derek L. G. Hill (MICCAI (1), 2004)

Image Features and the 1-D, 2nd Order Gaussian Derivative Jet. - Lewis D. Griffin; Martin Lillholm (Scale-Space, 2005)

Editorial. - Lewis D. Griffin (Int. J. Comput. Vis., 2005)

Synergy in the multi-local statistics of gradient directions in images. - Alexandre James Nasrallah; Lewis D. Griffin (CVPR Workshops, 2006)

Hypotheses for Image Features, Icons and Textons. - Lewis D. Griffin; Martin Lillholm (Int. J. Comput. Vis., 2006)

Zipf's Law in Image Coding Schemes. - Michael Crosier; Lewis D. Griffin (BMVC, 2007)

Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise. - Lewis D. Griffin; Martin Lillholm (Human Vision and Electronic Imaging, 2007)

Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images. - Martin Lillholm; Lewis D. Griffin (SSVM, 2007)

The Second Order Local-Image-Structure Solid. - Lewis D. Griffin (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Texture classification with a dictionary of basic image features. - Michael Crosier; Lewis D. Griffin (CVPR, 2008)

Novel image feature alphabets for object recognition. - Martin Lillholm; Lewis D. Griffin (ICPR, 2008)

A novel framework for multi-modal intensity-based similarity measures based on internal similarity. - Graeme P. Penney; Lewis D. Griffin; Andrew P. King; David J. Hawkes (Image Processing, 2008)

Symmetries of 1-D Images. - Lewis D. Griffin (J. Math. Imaging Vis., 2008)

Basic Image Features (BIFs) Arising from Approximate Symmetry Type. - Lewis D. Griffin; Martin Lillholm; Michael Crosier; Justus van Sande (SSVM, 2009)

Statistics and category systems for the shape index descriptor of local 2nd order natural image structure. - Martin Lillholm; Lewis D. Griffin (Image Vis. Comput., 2009)

Symmetries of 2-D Images: Cases without Periodic Translations. - Lewis D. Griffin (J. Math. Imaging Vis., 2009)

Texture-Based Estimation of Physical Characteristics of Sand Grains. - Andrew J. Newell; Lewis D. Griffin; Ruth M. Morgan; Peter A. Bull (DICTA, 2010)

Using Basic Image Features for Texture Classification. - Michael Crosier; Lewis D. Griffin (Int. J. Comput. Vis., 2010)

Symmetry Sensitivities of Derivative-of-Gaussian Filters. - Lewis D. Griffin; Martin Lillholm (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Perceptual Similarity: A Texture Challenge. - Alasdair D. F. Clarke; Fraser Halley; Andrew J. Newell; Lewis D. Griffin; Mike J. Chantler (BMVC, 2011)

Natural Image Character Recognition Using Oriented Basic Image Features. - Andrew J. Newell; Lewis D. Griffin (DICTA, 2011)

Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition. - Andrew J. Newell; Lewis D. Griffin (ICDAR, 2011)

Characterizing Breast Phenotype with a Novel Measure of Fibroglandular Structure. - John H. Hipwell; Lewis D. Griffin; Patsy J. Whelehan; Wenlong Song; Xiying Zhang; Jan M. Lesniak; Sarah Vinnicombe; Andy Evans; Jonathan Berg; David J. Hawkes (Digital Mammography / IWDM, 2012)

Improved segmentation of meteorite micro-CT images using local histograms. - Lewis D. Griffin; Premkumar Elangovan; A. Mundell; Dominik C. Hezel (Comput. Geosci., 2012)

Automated detection of cars in transmission X-ray images of freight containers. - Nicolas Jaccard; Thomas W. Rogers; Lewis D. Griffin (AVSS, 2014)

Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms. - Nicolas Jaccard; Nicolas Szita; Lewis D. Griffin (MIUA, 2014)

Writer identification using oriented Basic Image Features and the Delta encoding. - Andrew J. Newell; Lewis D. Griffin (Pattern Recognit., 2014)

Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines. - Thomas W. Rogers; Nicolas Jaccard; Emmanouil D. Protonotarios; James Ollier; Edward J. Morton; Lewis D. Griffin (ICCST, 2016)

Automated detection of smuggled high-risk security threats using deep learning. - Nicolas Jaccard; Thomas W. Rogers; Edward J. Morton; Lewis D. Griffin (ICDP, 2016)

Detection of concealed cars in complex cargo X-ray imagery using deep learning. - Nicolas Jaccard; Thomas W. Rogers; Edward J. Morton; Lewis D. Griffin (CoRR, 2016)

Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise. - Thomas W. Rogers; Nicolas Jaccard; Edward J. Morton; Lewis D. Griffin (CoRR, 2016)

A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples. - Thomas Tanay; Lewis D. Griffin (CoRR, 2016)

Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions. - Qiyang Zhao; Lewis D. Griffin (CoRR, 2016)

Better Image Segmentation by Exploiting Dense Semantic Predictions. - Qiyang Zhao; Lewis D. Griffin (CoRR, 2016)

Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms. - Nicolas Jaccard; Nicolas Szita; Lewis D. Griffin (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2017)

Built-in Vulnerabilities to Imperceptible Adversarial Perturbations. - Thomas Tanay; Jerone T. A. Andrews; Lewis D. Griffin (CoRR, 2018)

A New Angle on L2 Regularization. - Thomas Tanay; Lewis D. Griffin (CoRR, 2018)

Multiple-Identity Image Attacks Against Face-based Identity Verification. - Jerone T. A. Andrews; Thomas Tanay; Lewis D. Griffin (CoRR, 2019)

The Atlas Structure of Images. - Lewis D. Griffin (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

"Unexpected Item in the Bagging Area": Anomaly Detection in X-Ray Security Images. - Lewis D. Griffin; Matthew Caldwell; Jerone T. A. Andrews; Helene Bohler (IEEE Trans. Inf. Forensics Secur., 2019)

Conditional Adversarial Camera Model Anonymization. - Jerone T. A. Andrews; Yidan Zhang; Lewis D. Griffin (ECCV Workshops (4), 2020)

Camera Model Anonymisation with Augmented cGANs. - Jerone T. A. Andrews; Yidan Zhang; Lewis D. Griffin (CoRR, 2020)

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. - Maximilian Mozes; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin (EACL, 2021)

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. - Maximilian Mozes; Max Bartolo; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin (EMNLP (1), 2021)

Escaping Stochastic Traps with Aleatoric Mapping Agents. - Augustine N. Mavor-Parker; Kimberly A. Young; Caswell Barry; Lewis D. Griffin (CoRR, 2021)

Brittle Features May Help Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2021)

Explaining the Decision of Anomalous Sound Detectors. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin; Emmanouil Benetos (DCASE, 2022)

Identifying Human Strategies for Generating Word-Level Adversarial Examples. - Maximilian Mozes; Bennett Kleinberg; Lewis D. Griffin (EMNLP (Findings), 2022)

How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation. - Augustine N. Mavor-Parker; Kimberly A. Young; Caswell Barry; Lewis D. Griffin (ICML, 2022)

Self-Supervised Losses for One-Class Textual Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2022)

A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism. - Augustine N. Mavor-Parker; Andrea Banino; Lewis D. Griffin; Caswell Barry (CoRR, 2022)

Warning: Humans Cannot Reliably Detect Speech Deepfakes. - Kimberly T. Mai; Sergi D. Bray; Toby Davies; Lewis D. Griffin (CoRR, 2023)

Susceptibility to Influence of Large Language Models. - Lewis D. Griffin; Bennett Kleinberg; Maximilian Mozes; Kimberly T. Mai; Maria Vau; Matthew Caldwell; Augustine Marvor-Parker (CoRR, 2023)

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities. - Maximilian Mozes; Xuanli He; Bennett Kleinberg; Lewis D. Griffin (CoRR, 2023)

Inferring the location of neurons within an artificial network from their activity. - Alexander J. Dyer; Lewis D. Griffin (Neural Networks, 2023)

Transcript of GPT-4 playing a rogue AGI in a Matrix Game. - Lewis D. Griffin; Nicholas Riggs (CoRR, 2024)

Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning. - Augustine N. Mavor-Parker; Matthew J. Sargent; Caswell Barry; Lewis D. Griffin; Clare Lyle (CoRR, 2024)

Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas. - Louis Kwok; Michal Bravansky; Lewis D. Griffin (CoRR, 2024)

Understanding the limitations of self-supervised learning for tabular anomaly detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (Pattern Anal. Appl., 2024)