• publications
• journals
• conferences
• preprints

Publications

This list of publications is generated from the following bibtex. Also, here is a link to my scholar.

Journals

• Duan, H., Long, Y., Wang, S., Zhang, H., Willcocks, C. G., & Shao, L. (2023). Dynamic Unary Convolution in Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. URL: http://dro.dur.ac.uk/37786/, doi:10.1109/TPAMI.2022.3233482
• Bond-Taylor, S., Leach, A., Long, Y., & Willcocks, C. G. (2022). Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11), 7327–7347. doi:10.1109/TPAMI.2021.3116668
• Ramaswamy, V. K., Musson, S. C., Willcocks, C. G., & Degiacomi, M. T. (2021 , Mar). Deep Learning Protein Conformational Space with Convolutions and Latent Interpolations. Phys. Rev. X, 11, 011052. doi:10.1103/PhysRevX.11.011052
• Alhasson, H. F., Willcocks, C. G., Alharbi, S. S., Kasim, A., & Obara, B. (2020 , Oct). The relationship between curvilinear structure enhancement and ridge detection methods. The Visual Computer. doi:10.1007/s00371-020-01985-4
• Alharbi, S. S., Willcocks, C. G., Jackson, P. T. G., Alhasson, H. F., & Obara, B. (2019 , Jul). Sequential graph-based extraction of curvilinear structures. Signal, Image and Video Processing, 13(5), 941–949. doi:10.1007/s11760-019-01431-6
• Nasrulloh, A. V., Willcocks, C. G., Jackson, P. T. G., Geenen, C., Habib, M. S., Steel, D. H. W., & Obara, B. (2018 , 2). Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes. IEEE Transactions on Medical Imaging, 37, 580–589. doi:10.1109/TMI.2017.2767908
• Akcay, S., Kundegorski, M. E., Willcocks, C. G., & Breckon, T. P. (2018 , 9). Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery. IEEE Transactions on Information Forensics and Security, 13(9), 2203–2215. doi:10.1109/TIFS.2018.2812196
• Willcocks, C. G., Jackson, P. T.G., Nelson, C. J., Nasrulloh, A., & Obara, B. (2017 , 12). Interactive GPU Active Contours for Segmenting Inhomogeneous Objects. Journal of Real-time Image Processing. video url: https://youtube.com/watch?v=6W4mO7BPeGg. doi:10.1007/s11554-017-0740-1
• Willcocks, C. G., Jackson, P. T.G., Nelson, C. J., & Obara, B. (2017 , 9). Extracting 3D Parametric Curves from 2D Images of Helical Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(9), 1757–1769. doi:10.1109/TPAMI.2016.2613866
• Willcocks, C. G., & Li, F. W. B. (2012). Feature-varying skeletonization: Intuitive control over the target feature size and output skeleton topology. The Visual Computer – International Journal of Computer Graphics, CGI, 28(6), 775–785. doi:10.1007/s00371-012-0688-x

Conferences

• Liu, M., Frawley, J., Wyer, S., Shum, H. P. H., Uckelman, S., Black, S., & Willcocks, C. (2024 , June). Duh, K., Gomez, H., & Bethard, S. (Eds.). Self-Regulated Sample Diversity in Large Language Models. Findings of the Association for Computational Linguistics: NAACL 2024 (pp. 1891–1899). Mexico City, Mexico: Association for Computational Linguistics. URL: https://aclanthology.org/2024.findings-naacl.122, doi:10.18653/v1/2024.findings-naacl.122
• Corona-Figueroa, A., Shum, H. P. H., & Willcocks, C. G. (2024). Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling. Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE/CVF. URL: https://github.com/abrilcf/3D-3D_repeat-concatenate
• Bond-Taylor, S., & Willcocks, C. G. (2024). ∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States. The Twelfth International Conference on Learning Representations. ICLR. URL: https://openreview.net/forum?id=OUeIBFhyem
• Isaac-Medina, B.K.S., Willcocks, C.G., & Breckon, T.P. (2023 , June). Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields. IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023. IEEE. URL: http://dro.dur.ac.uk/38343/
• Corona-Figueroa, A., Bond-Taylor, S., Bhowmik, N., Gaus, Y. F. A., Breckon, T. P., Shum, H. P., & Willcocks, C. G. (2023). Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 14585–14594). URL: https://abrilcf.github.io/publications/CodeDiff3D/
• Wyatt, J., Leach, A., Schmon, S. M., & Willcocks, C. G. (2022). AnoDDPM: Anomaly Detection With Denoising Diffusion Probabilistic Models Using Simplex Noise. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 650–656). doi:10.1109/CVPRW56347.2022.00080
• Isaac-Medina, B. K., Bhowmik, N., Willcocks, C. G., & Breckon, T. P. (2022). Cross-Modal Image Synthesis Within Dual-Energy X-Ray Security Imagery. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 333–341). doi:10.1109/CVPRW56347.2022.00048
• Leach, A., Schmon, S. M., Degiacomi, M. T., & Willcocks, C. G. (2022). Denoising Diffusion Probabilistic Models on SO(3) for Rotational Alignment. ICLR 2022 Workshop on Geometrical and Topological Representation Learning. URL: https://openreview.net/forum?id=BY88eBbkpe5
• Corona-Figueroa, A., Frawley, J., Taylor, S. B.-, Bethapudi, S., Shum, H. P. H., & Willcocks, C. G. (2022). MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3843–3848). doi:10.1109/EMBC48229.2022.9871757
• Isaac-Medina, B.K.S., Willcocks, C.G., & Breckon, T.P. (2022 , August). Multi-view Vision Transformers for Object Detection. International Conference on Pattern Recognition (ICPR). IEEE. URL: http://dro.dur.ac.uk/36304/
• Bond-Taylor, S., Hessey, P., Sasaki, H., Breckon, T. P., & Willcocks, C. G. (2022). Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes. European Conference on Computer Vision (ECCV). doi:10.1007/978-3-031-20050-2_11
• Sasaki, H., Willcocks, C.G., & Breckon, T.P. (2021 , October). Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. Proc. Int. Conf. Pattern Recognition. IEEE. doi:10.1109/ICPR48806.2021.9413023
• Bond-Taylor, S., & Willcocks, C. G. (2021). Gradient Origin Networks. International Conference on Learning Representations. ICLR. URL: https://openreview.net/pdf?id=0O_cQfw6uEh
• Sunal, C. E., Willcocks, C. G., & Obara, B. (2021 , October). Real Time Fencing Move Classification and Detection at Touch Time during a Fencing Match. 2020 25th International Conference on Pattern Recognition (ICPR) (pp. 5760–5766). doi:10.1109/ICPR48806.2021.9412024
• Frawley, J., Willcocks, C. G., Habib, M., Geenen, C., Steel, D. H., & Obara, B. (2021). Robust 3D U-Net Segmentation of Macular Holes. Proc. Artificial Intelligence and Cognitive Science (AICS 2021) (pp. 36–47). URL: https://arxiv.org/abs/2103.01299
• Isaac-Medina, B. K. S., Poyser, M., Organisciak, D., Willcocks, C. G., Breckon, T. P., & Shum, H. P. H. (2021). Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (pp. 1223–1232). doi:10.1109/ICCVW54120.2021.00142
• Nguyen, B., Feldman, A., Bethapudi, S., Jennings, A., & Willcocks, C. G. (2021). Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1127–1131). doi:10.1109/ISBI48211.2021.9434115
• Rudden, L. S., Degiacomi, M. T., & Willcocks, C. G. (2020). Computer Vision for Protein-protein Docking. Biophysical Journal, 118(3), 305a–306a. doi:10.1016/j.bpj.2019.11.1728
• Isaac-Medina, B.K.S., Willcocks, C.G., & Breckon, T.P. (2020 , October). Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery. Proc. Int. Conf. Pattern Recognition. IEEE. doi:10.1109/ICPR48806.2021.9413007
• Frawley, J., Willcocks, C. G., Habib, M., Geenen, C., Steel, D. H., & Obara, B. (2020). Segmentation of Macular Edema Datasets with Small Residual 3D U-Net Architectures. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 582–587). doi:10.1109/BIBE50027.2020.00100
• Leach, A., Rudden, L. S. P., Bond-Taylor, S., Brigham, J. C., Degiacomi, M. T., & Willcocks, C. G. (2020). Shape tracing: An extension of sphere tracing for 3D non-convex collision in protein docking. 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 49–52). doi:10.1109/BIBE50027.2020.00016
• Medhat, F., Mohammadi, M., Jaf, S., Willcocks, C. G., Breckon, T. P., Matthews, P., … Obara, B. (2018 , Dec). TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text. 2018 IEEE International Conference on Big Data (Big Data) (pp. 2986–2994). doi:10.1109/BigData.2018.8622136
• Willcocks, C. G. (2013 , 10). Sparse Volumetric Deformation – Animating and rendering huge amounts of volumetric data using GPGPU computing. Durham e-Thesis. Durham University. URL: http://etheses.dur.ac.uk/8471/

Preprints

• McKinney, A. F., & Willcocks, C. G. (2022). Megapixel Image Generation with Step-Unrolled Denoising Autoencoders. arXiv preprint arXiv:2206.12351.
• Sasaki, H., Willcocks, C. G., & Breckon, T. P. (2021). UNIT-DDPM: Unpaired Image Translation with Denoising Diffusion Probabilistic Models. arXiv preprint arXiv:2104.05358. URL: https://arxiv.org/abs/2104.05358