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ORCIDLewis D. Griffin
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2020 – today
- 2024
[j22]Kimberly T. Mai, Toby Davies
, Lewis D. Griffin:
Understanding the limitations of self-supervised learning for tabular anomaly detection. Pattern Anal. Appl. 27(2): 61 (2024)- [i24]Lewis D. Griffin, Nicholas Riggs:
Transcript of GPT-4 playing a rogue AGI in a Matrix Game. CoRR abs/2405.10997 (2024) - [i23]Augustine N. Mavor-Parker, Matthew J. Sargent, Caswell Barry, Lewis D. Griffin, Clare Lyle:
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning. CoRR abs/2407.06756 (2024) - [i22]Louis Kwok, Michal Bravansky, Lewis D. Griffin:
Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas. CoRR abs/2408.06929 (2024) - 2023
- [j21]Alexander J. Dyer, Lewis D. Griffin:
Inferring the location of neurons within an artificial network from their activity. Neural Networks 157: 160-175 (2023) - [i21]Kimberly T. Mai, Sergi D. Bray, Toby Davies, Lewis D. Griffin:
Warning: Humans Cannot Reliably Detect Speech Deepfakes. CoRR abs/2301.07829 (2023) - [i20]Lewis D. Griffin, Bennett Kleinberg, Maximilian Mozes, Kimberly T. Mai, Maria Vau, Matthew Caldwell, Augustine Marvor-Parker:
Susceptibility to Influence of Large Language Models. CoRR abs/2303.06074 (2023) - [i19]Maximilian Mozes, Xuanli He, Bennett Kleinberg, Lewis D. Griffin:
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities. CoRR abs/2308.12833 (2023) - [i18]Kimberly T. Mai, Toby Davies, Lewis D. Griffin:
Understanding the limitations of self-supervised learning for tabular anomaly detection. CoRR abs/2309.08374 (2023) - 2022
- [c39]Kimberly T. Mai, Toby Davies, Lewis D. Griffin, Emmanouil Benetos:
Explaining the Decision of Anomalous Sound Detectors. DCASE 2022 - [c38]Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin:
Identifying Human Strategies for Generating Word-Level Adversarial Examples. EMNLP (Findings) 2022: 6118-6126 - [c37]Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin:
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation. ICML 2022: 15220-15240 - [i17]Kimberly T. Mai, Toby Davies, Lewis D. Griffin:
Self-Supervised Losses for One-Class Textual Anomaly Detection. CoRR abs/2204.05695 (2022) - [i16]Augustine N. Mavor-Parker, Andrea Banino, Lewis D. Griffin, Caswell Barry:
A Simple Approach for State-Action Abstraction using a Learned MDP Homomorphism. CoRR abs/2209.06356 (2022) - [i15]Maximilian Mozes, Bennett Kleinberg, Lewis D. Griffin:
Identifying Human Strategies for Generating Word-Level Adversarial Examples. CoRR abs/2210.11598 (2022) - 2021
- [c36]Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. EACL 2021: 171-186 - [c35]Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. EMNLP (1) 2021: 8258-8270 - [i14]Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry, Lewis D. Griffin:
Escaping Stochastic Traps with Aleatoric Mapping Agents. CoRR abs/2102.04399 (2021) - [i13]Kimberly T. Mai, Toby Davies, Lewis D. Griffin:
Brittle Features May Help Anomaly Detection. CoRR abs/2104.10453 (2021) - [i12]Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. CoRR abs/2109.04385 (2021) - 2020
- [c34]Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin:
Conditional Adversarial Camera Model Anonymization. ECCV Workshops (4) 2020: 217-235 - [i11]Jerone T. A. Andrews, Yidan Zhang, Lewis D. Griffin:
Camera Model Anonymisation with Augmented cGANs. CoRR abs/2002.07798 (2020) - [i10]Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin:
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. CoRR abs/2004.05887 (2020)
2010 – 2019
- 2019
- [j20]Lewis D. Griffin:
The Atlas Structure of Images. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 234-245 (2019) - [j19]Lewis D. Griffin, Matthew Caldwell, Jerone T. A. Andrews, Helene Bohler:
"Unexpected Item in the Bagging Area": Anomaly Detection in X-Ray Security Images. IEEE Trans. Inf. Forensics Secur. 14(6): 1539-1553 (2019) - [i9]Jerone T. A. Andrews, Thomas Tanay, Lewis D. Griffin:
Multiple-Identity Image Attacks Against Face-based Identity Verification. CoRR abs/1906.08507 (2019) - 2018
- [i8]Thomas Tanay, Jerone T. A. Andrews, Lewis D. Griffin:
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations. CoRR abs/1806.07409 (2018) - [i7]Thomas Tanay, Lewis D. Griffin:
A New Angle on L2 Regularization. CoRR abs/1806.11186 (2018) - 2017
- [j18]Nicolas Jaccard, Nicolas Szita, Lewis D. Griffin:
Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(5): 359-367 (2017) - 2016
- [c33]Thomas W. Rogers, Nicolas Jaccard, Emmanouil D. Protonotarios, James Ollier, Edward J. Morton, Lewis D. Griffin:
Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines. ICCST 2016: 1-7 - [c32]Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin:
Automated detection of smuggled high-risk security threats using deep learning. ICDP 2016: 1-6 - [i6]Qiyang Zhao, Lewis D. Griffin:
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions. CoRR abs/1603.05145 (2016) - [i5]Qiyang Zhao, Lewis D. Griffin:
Better Image Segmentation by Exploiting Dense Semantic Predictions. CoRR abs/1606.01481 (2016) - [i4]Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin:
Detection of concealed cars in complex cargo X-ray imagery using deep learning. CoRR abs/1606.08078 (2016) - [i3]Thomas W. Rogers, Nicolas Jaccard, Edward J. Morton, Lewis D. Griffin:
Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise. CoRR abs/1608.01017 (2016) - [i2]Thomas Tanay, Lewis D. Griffin:
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples. CoRR abs/1608.07690 (2016) - [i1]Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton, Lewis D. Griffin:
Automated detection of smuggled high-risk security threats using Deep Learning. CoRR abs/1609.02805 (2016) - 2014
- [j17]Andrew J. Newell, Lewis D. Griffin:
Writer identification using oriented Basic Image Features and the Delta encoding. Pattern Recognit. 47(6): 2255-2265 (2014) - [c31]Nicolas Jaccard, Thomas W. Rogers, Lewis D. Griffin:
Automated detection of cars in transmission X-ray images of freight containers. AVSS 2014: 387-392 - [c30]Nicolas Jaccard, Nicolas Szita, Lewis D. Griffin:
Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms. MIUA 2014: 47-52 - 2012
- [j16]Lewis D. Griffin, Premkumar Elangovan, A. Mundell, Dominik C. Hezel:
Improved segmentation of meteorite micro-CT images using local histograms. Comput. Geosci. 39: 129-134 (2012) - [c29]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:
Characterizing Breast Phenotype with a Novel Measure of Fibroglandular Structure. Digital Mammography / IWDM 2012: 181-188 - 2011
- [c28]Alasdair D. F. Clarke, Fraser Halley, Andrew J. Newell, Lewis D. Griffin, Mike J. Chantler:
Perceptual Similarity: A Texture Challenge. BMVC 2011: 1-10 - [c27]Andrew J. Newell, Lewis D. Griffin:
Natural Image Character Recognition Using Oriented Basic Image Features. DICTA 2011: 191-196 - [c26]Andrew J. Newell, Lewis D. Griffin:
Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition. ICDAR 2011: 1085-1089 - 2010
- [j15]Michael Crosier, Lewis D. Griffin:
Using Basic Image Features for Texture Classification. Int. J. Comput. Vis. 88(3): 447-460 (2010) - [j14]Lewis D. Griffin, Martin Lillholm:
Symmetry Sensitivities of Derivative-of-Gaussian Filters. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1072-1083 (2010) - [c25]Andrew J. Newell, Lewis D. Griffin, Ruth M. Morgan, Peter A. Bull:
Texture-Based Estimation of Physical Characteristics of Sand Grains. DICTA 2010: 504-509
2000 – 2009
- 2009
- [j13]Martin Lillholm, Lewis D. Griffin:
Statistics and category systems for the shape index descriptor of local 2nd order natural image structure. Image Vis. Comput. 27(6): 771-781 (2009) - [j12]Lewis D. Griffin:
Symmetries of 2-D Images: Cases without Periodic Translations. J. Math. Imaging Vis. 34(3): 259-269 (2009) - [c24]Lewis D. Griffin, Martin Lillholm, Michael Crosier, Justus van Sande:
Basic Image Features (BIFs) Arising from Approximate Symmetry Type. SSVM 2009: 343-355 - 2008
- [j11]Lewis D. Griffin:
Symmetries of 1-D Images. J. Math. Imaging Vis. 31(2-3): 157-164 (2008) - [c23]Michael Crosier, Lewis D. Griffin:
Texture classification with a dictionary of basic image features. CVPR 2008 - [c22]Martin Lillholm, Lewis D. Griffin:
Novel image feature alphabets for object recognition. ICPR 2008: 1-4 - [c21]Graeme P. Penney, Lewis D. Griffin, Andrew P. King, David J. Hawkes:
A novel framework for multi-modal intensity-based similarity measures based on internal similarity. Medical Imaging: Image Processing 2008: 69140X - 2007
- [j10]Lewis D. Griffin:
The Second Order Local-Image-Structure Solid. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1355-1366 (2007) - [c20]Michael Crosier, Lewis D. Griffin:
Zipf's Law in Image Coding Schemes. BMVC 2007: 1-10 - [c19]Lewis D. Griffin, Martin Lillholm:
Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise. Human Vision and Electronic Imaging 2007: 649209 - [c18]Martin Lillholm, Lewis D. Griffin:
Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images. SSVM 2007: 394-405 - 2006
- [j9]Lewis D. Griffin, Martin Lillholm:
Hypotheses for Image Features, Icons and Textons. Int. J. Comput. Vis. 70(3): 213-230 (2006) - [c17]Alexandre James Nasrallah, Lewis D. Griffin:
Synergy in the multi-local statistics of gradient directions in images. CVPR Workshops 2006: 173 - 2005
- [j8]Lewis D. Griffin:
Editorial. Int. J. Comput. Vis. 64(2-3): 95-96 (2005) - [c16]Lewis D. Griffin, Martin Lillholm:
Image Features and the 1-D, 2nd Order Gaussian Derivative Jet. Scale-Space 2005: 26-37 - 2004
- [c15]Luiza Larsen, Lewis D. Griffin:
Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging? ECCV Workshops CVAMIA and MMBIA 2004: 365-375 - [c14]Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek L. G. Hill:
Multi-channel Mutual Information Using Scale Space. MICCAI (1) 2004: 797-804 - [c13]William R. Crum, Lewis D. Griffin, David J. Hawkes:
Automatic Estimation of Error in Voxel-Based Registration. MICCAI (1) 2004: 821-828 - 2003
- [j7]Martin Lillholm, Mads Nielsen, Lewis D. Griffin:
Feature-Based Image Analysis. Int. J. Comput. Vis. 52(2-3): 73-95 (2003) - [j6]William R. Crum, Lewis D. Griffin, Derek L. G. Hill, David John Hawkes:
Zen and the art of medical image registration: correspondence, homology, and quality. NeuroImage 20(3): 1425-1437 (2003) - [c12]Lewis D. Griffin, Martin Lillholm:
Mode Estimation Using Pessimistic Scale Space Tracking. Scale-Space 2003: 266-280 - [e1]Lewis D. Griffin, Martin Lillholm:
Scale Space Methods in Computer Vision, 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings. Lecture Notes in Computer Science 2695, Springer 2003, ISBN 3-540-40368-X [contents] - 2002
- [j5]Derek K. Jones, Lewis D. Griffin, Daniel C. Alexander, Marco Catani, Mark A. Horsfield, Robert J. Howard, Steven C. R. Williams:
Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets. NeuroImage 17(2): 592-617 (2002) - 2001
- [c11]Elena Tagliati, Lewis D. Griffin:
Features in Scale Space: Progress on the 2D 2nd Order Jet. Scale-Space 2001: 51-62 - [c10]Lewis D. Griffin:
Histograms of Infinitesimal Neighbourhoods. Scale-Space 2001: 326-334
1990 – 1999
- 1997
- [j4]Lewis D. Griffin:
Scale-imprecision space. Image Vis. Comput. 15(5): 369-398 (1997) - [p1]Lewis D. Griffin:
Critical Point Events in Affine Scale-Space. Gaussian Scale-Space Theory 1997: 165-180 - 1995
- [j3]Lewis D. Griffin, Alan C. F. Colchester:
Superficial and deep structure in linear diffusion scale space: isophotes, critical points and separatrices. Image Vis. Comput. 13(7): 543-557 (1995) - 1994
- [j2]Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin:
Model-based recognition of anatomical objects from medical images. Image Vis. Comput. 12(8): 499-507 (1994) - [c9]Lewis D. Griffin, Alan C. F. Colchester, S. A. Röll, Colin Studholme:
Hierarchical Segmentation Satisfying Constraints. BMVC 1994: 1-10 - [c8]S. A. Röll, Alan C. F. Colchester, Paul E. Summers, Lewis D. Griffin:
Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors. BMVC 1994: 1-10 - 1993
- [c7]Lewis D. Griffin, Glynn P. Robinson, Alan C. F. Colchester:
Multi-scale Hierarchical Segmentation. BMVC 1993: 1-10 - [c6]Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin:
Model-Based Recognition of Anatomical Objects from Medical Images. IPMI 1993: 197-211 - 1992
- [j1]Lewis D. Griffin, Alan C. F. Colchester, Glynn P. Robinson:
Scale and segmentation of grey-level images using maximum gradient paths. Image Vis. Comput. 10(6): 389-402 (1992) - [c5]Glynn P. Robinson, Lewis D. Griffin, Alan C. F. Colchester:
The Delaunay/Voronoi Selection Graph: A Method for Extracting Shape Information from 2-D Dot-patterns with an Extension to 3-D. BMVC 1992: 1-10 - [c4]Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, David J. Hawkes:
Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation. ECCV 1992: 725-729 - [c3]Alan C. F. Colchester, Glynn P. Robinson, Lewis D. Griffin:
A unified approach to the segmentation of grey-level and dot-pattern images. ICPR (3) 1992: 319-322 - [c2]Lewis D. Griffin, Alan C. F. Colchester, Glynn P. Robinson, David John Hawkes:
Structure-sensitive scale and the hierarchical segmentation of gray-level images. VBC 1992 - 1991
- [c1]Lewis D. Griffin, Alan C. F. Colchester, Glynn P. Robinson:
Scale and Segmentation of Grey-Level Images Using Maximum Gradient Paths. IPMI 1991: 256-272
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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