Lewis D. Griffin

According to our database, Lewis D. Griffin authored at least 76 papers between 1992 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Inferring the location of neurons within an artificial network from their activity.

Alexander J. Dyer, Lewis D. Griffin

Neural Networks, 2023

Understanding the limitations of self-supervised learning for tabular anomaly detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

CoRR, 2023

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities.

Maximilian Mozes, Xuanli He, Bennett Kleinberg, 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

Warning: Humans Cannot Reliably Detect Speech Deepfakes.

Kimberly T. Mai, Sergi D. Bray, Toby Davies, Lewis D. Griffin

CoRR, 2023

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

Self-Supervised Losses for One-Class Textual Anomaly Detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2022

Identifying Human Strategies for Generating Word-Level Adversarial Examples.

Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Explaining the Decision of Anomalous Sound Detectors.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin, Emmanouil Benetos

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Brittle Features May Help Anomaly Detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

CoRR, 2021

Escaping Stochastic Traps with Aleatoric Mapping Agents.

Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin

CoRR, 2021

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification.

Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples.

Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Camera Model Anonymisation with Augmented cGANs.

Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin

CoRR, 2020

Conditional Adversarial Camera Model Anonymization.

Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

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

The Atlas Structure of Images.

Lewis D. Griffin

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multiple-Identity Image Attacks Against Face-based Identity Verification.

Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin

CoRR, 2019

2018

A New Angle on L2 Regularization.

Thomas Tanay, Lewis D. Griffin

CoRR, 2018

Built-in Vulnerabilities to Imperceptible Adversarial Perturbations.

Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin

CoRR, 2018

2017

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

2016

Better Image Segmentation by Exploiting Dense Semantic Predictions.

Qiyang Zhao, Lewis D. Griffin

CoRR, 2016

Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions.

Qiyang Zhao, Lewis D. Griffin

CoRR, 2016

A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples.

Thomas Tanay, 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

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 detection of smuggled high-risk security threats using deep learning.

Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin

Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016

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

Proceedings of the IEEE International Carnahan Conference on Security Technology, 2016

2014

Writer identification using oriented Basic Image Features and the Delta encoding.

Andrew J. Newell, Lewis D. Griffin

Pattern Recognit., 2014

Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms.

Nicolas Jaccard, Nicolas Szita, Lewis D. Griffin

Proceedings of the Medical Image Understanding and Analysis, 2014

Automated detection of cars in transmission X-ray images of freight containers.

Nicolas Jaccard, Thomas W. Rogers, Lewis D. Griffin

Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014

2012

Improved segmentation of meteorite micro-CT images using local histograms.

Lewis D. Griffin, Premkumar Elangovan, A. Mundell, Dominik C. Hezel

Comput. Geosci., 2012

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

Proceedings of the Breast Imaging, 2012

2011

Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition.

Andrew J. Newell, Lewis D. Griffin

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Natural Image Character Recognition Using Oriented Basic Image Features.

Andrew J. Newell, Lewis D. Griffin

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Perceptual Similarity: A Texture Challenge.

Alasdair D. F. Clarke, Fraser Halley, Andrew J. Newell, Lewis D. Griffin, Mike J. Chantler

Proceedings of the British Machine Vision Conference, 2011

2010

Symmetry Sensitivities of Derivative-of-Gaussian Filters.

Lewis D. Griffin, Martin Lillholm

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Using Basic Image Features for Texture Classification.

Michael Crosier, Lewis D. Griffin

Int. J. Comput. Vis., 2010

Texture-Based Estimation of Physical Characteristics of Sand Grains.

Andrew J. Newell, Lewis D. Griffin, Ruth M. Morgan, Peter A. Bull

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009

Symmetries of 2-D Images: Cases without Periodic Translations.

Lewis D. Griffin

J. Math. Imaging Vis., 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

Basic Image Features (BIFs) Arising from Approximate Symmetry Type.

Lewis D. Griffin, Martin Lillholm, Michael Crosier, Justus van Sande

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008

Symmetries of 1-D Images.

Lewis D. Griffin

J. Math. Imaging Vis., 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

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Novel image feature alphabets for object recognition.

Martin Lillholm, Lewis D. Griffin

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Texture classification with a dictionary of basic image features.

Michael Crosier, Lewis D. Griffin

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

The Second Order Local-Image-Structure Solid.

Lewis D. Griffin

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Maximum Likelihood Metameres for Local 2^<i>nd</i> Order Image Structure of Natural Images.

Martin Lillholm, Lewis D. Griffin

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise.

Lewis D. Griffin, Martin Lillholm

Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

Zipf's Law in Image Coding Schemes.

Michael Crosier, Lewis D. Griffin

Proceedings of the British Machine Vision Conference 2007, 2007

2006

Hypotheses for Image Features, Icons and Textons.

Lewis D. Griffin, Martin Lillholm

Int. J. Comput. Vis., 2006

Synergy in the multi-local statistics of gradient directions in images.

Alexandre James Nasrallah, Lewis D. Griffin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005

Editorial.

Lewis D. Griffin

Int. J. Comput. Vis., 2005

Image Features and the 1-D, 2^nd Order Gaussian Derivative Jet.

Lewis D. Griffin, Martin Lillholm

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

2004

Multi-channel Mutual Information Using Scale Space.

Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek L. G. Hill

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Automatic Estimation of Error in Voxel-Based Registration.

William R. Crum, Lewis D. Griffin, David J. Hawkes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?

Luiza Larsen, Lewis D. Griffin

Proceedings of the Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis, 2004

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

Feature-Based Image Analysis.

Martin Lillholm, Mads Nielsen, Lewis D. Griffin

Int. J. Comput. Vis., 2003

Mode Estimation Using Pessimistic Scale Space Tracking.

Lewis D. Griffin, Martin Lillholm

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

2002

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

2001

Features in Scale Space: Progress on the 2D 2^nd Order Jet.

Elena Tagliati, Lewis D. Griffin

Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

Histograms of Infinitesimal Neighbourhoods.

Lewis D. Griffin

Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

1997

Critical Point Events in Affine Scale-Space.

Lewis D. Griffin

Proceedings of the Gaussian Scale-Space Theory, 1997

Scale-imprecision space.

Lewis D. Griffin

Image Vis. Comput., 1997

1995

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

1994

Model-based recognition of anatomical objects from medical images.

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin

Image Vis. Comput., 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

Proceedings of the British Machine Vision Conference, 1994

Hierarchical Segmentation Satisfying Constraints.

Lewis D. Griffin, Alan C. F. Colchester, S. A. Röll, Colin Studholme

Proceedings of the British Machine Vision Conference, 1994

1993

Multi-scale Hierarchical Segmentation.

Lewis D. Griffin, Glynn P. Robinson, Alan C. F. Colchester

Proceedings of the British Machine Vision Conference, 1993

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

Structure-sensitive scale and the hierarchical segmentation of gray-level images.

Lewis D. Griffin, Alan C. F. Colchester, Glynn P. Robinson, David John Hawkes

Proceedings of the Visualization in Biomedical Computing '92, 1992

A unified approach to the segmentation of grey-level and dot-pattern images.

Alan C. F. Colchester, Glynn P. Robinson, Lewis D. Griffin

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation.

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, David J. Hawkes

Proceedings of the Computer Vision, 1992

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

Proceedings of the British Machine Vision Conference, 1992