Feature-varying skeletonization - Intuitive control over the target feature size and output skeleton topology. - Chris G. Willcocks; Frederick W. B. Li (Vis. Comput., 2012)

Sparse volumetric deformation - Chris G. Willcocks (2013)

Extracting 3D Parametric Curves from 2D Images of Helical Objects. - Chris G. Willcocks; Philip T. G. Jackson; Carl J. Nelson; Boguslaw Obara (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. - Fady Medhat; Mahnaz Mohammadi; Sardar F. Jaf; Chris G. Willcocks; Toby P. Breckon; Peter Matthews; Andrew Stephen McGough; Georgios Theodoropoulos 001; Boguslaw Obara (IEEE BigData, 2018)

Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. - Samet Akcay; Mikolaj E. Kundegorski; Chris G. Willcocks; Toby P. Breckon (IEEE Trans. Inf. Forensics Secur., 2018)

Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes. - Amar Vijai Nasrulloh; Chris G. Willcocks; Philip T. G. Jackson; Caspar Geenen; Maged Habib; David H. Steel; Boguslaw Obara (IEEE Trans. Medical Imaging, 2018)

Learning protein conformational space by enforcing physics with convolutions and latent interpolations. - Venkata Krishnan Ramaswam; Chris G. Willcocks; Matteo T. Degiacomi (CoRR, 2019)

Interactive GPU active contours for segmenting inhomogeneous objects. - Chris G. Willcocks; Philip T. G. Jackson; Carl J. Nelson; Amar Vijai Nasrulloh; Boguslaw Obara (J. Real Time Image Process., 2019)

Sequential graph-based extraction of curvilinear structures. - Shuaa S. Alharbi; Chris G. Willcocks; Philip T. G. Jackson; Haifa F. Alhasson; Boguslaw Obara (Signal Image Video Process., 2019)

Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures. - Jonathan Frawley; Chris G. Willcocks; Maged Habib; Caspar Geenen; David H. Steel; Boguslaw Obara (BIBE, 2020)

Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking. - Adam Leach; Lucas S. P. Rudden; Sam Bond-Taylor; John C. Brigham; Matteo T. Degiacomi; Chris G. Willcocks (BIBE, 2020)

Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (ICPR, 2020)

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. - Hiroshi Sasaki 009; Chris G. Willcocks; Toby P. Breckon (ICPR, 2020)

Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match. - Cem Ekin Sunal; Chris G. Willcocks; Boguslaw Obara (ICPR, 2020)

Robust 3D U-Net Segmentation of Macular Holes. - Jonathan Frawley; Chris G. Willcocks; Maged Habib; Caspar Geenen; David H. Steel; Boguslaw Obara (AICS, 2021)

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. - Brian K. S. Isaac-Medina; Matt Poyser; Daniel Organisciak; Chris G. Willcocks; Toby P. Breckon; Hubert P. H. Shum (ICCVW, 2021)

Gradient Origin Networks. - Sam Bond-Taylor; Chris G. Willcocks (ICLR, 2021)

Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting. - Bao Nguyen; Adam Feldman; Sarath Bethapudi; Andrew Jennings; Chris G. Willcocks (ISBI, 2021)

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. - Hiroshi Sasaki 009; Chris G. Willcocks; Toby P. Breckon (CoRR, 2021)

The relationship between curvilinear structure enhancement and ridge detection methods. - Haifa F. Alhasson; Chris G. Willcocks; Shuaa S. Alharbi; Adetayo Kasim; Boguslaw Obara (Vis. Comput., 2021)

Cross-modal Image Synthesis within Dual-Energy X-ray Security Imagery. - Brian K. S. Isaac-Medina; Neelanjan Bhowmik; Chris G. Willcocks; Toby P. Breckon (CVPR Workshops, 2022)

AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise. - Julian Wyatt; Adam Leach; Sebastian M. Schmon; Chris G. Willcocks (CVPR Workshops, 2022)

Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. - Sam Bond-Taylor; Peter Hessey; Hiroshi Sasaki 009; Toby P. Breckon; Chris G. Willcocks (ECCV (23), 2022)

MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. - Abril Corona-Figueroa; Jonathan Frawley; Sam Bond-Taylor; Sarath Bethapudi; Hubert P. H. Shum; Chris G. Willcocks (EMBC, 2022)

Multi-view Vision Transformers for Object Detection. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (ICPR, 2022)

Megapixel Image Generation with Step-Unrolled Denoising Autoencoders. - Alex F. McKinney; Chris G. Willcocks (CoRR, 2022)

Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. - Sam Bond-Taylor; Adam Leach; Yang Long 001; Chris G. Willcocks (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. - Brian K. S. Isaac-Medina; Chris G. Willcocks; Toby P. Breckon (CVPR, 2023)

Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. - Abril Corona-Figueroa; Sam Bond-Taylor; Neelanjan Bhowmik; Yona Falinie A. Gaus; Toby P. Breckon; Hubert P. H. Shum; Chris G. Willcocks (ICCV, 2023)

Dynamic Unary Convolution in Transformers. - Haoran Duan 001; Yang Long 001; Shidong Wang; Haofeng Zhang 001; Chris G. Willcocks; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling. - Abril Corona-Figueroa; Hubert P. H. Shum; Chris G. Willcocks (CVPR Workshops, 2024)

∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States. - Sam Bond-Taylor; Chris G. Willcocks (ICLR, 2024)

Self-Regulated Sample Diversity in Large Language Models. - Mingyue Liu; Jonathan Frawley; Sarah Wyer; Hubert P. H. Shum; Sara L. Uckelman; Sue Black 001; Chris G. Willcocks (NAACL-HLT (Findings), 2024)

Neuro-Symbolic Contrastive Learning for Cross-domain Inference. - Mingyue Liu; Ryo Ueda; Zhen Wan; Katsumi Inoue; Chris G. Willcocks (ICLP, 2024)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)