| Deep generative modelling: A comparative review of vaes, gans, normalizing flows, energy-based and autoregressive models S Bond-Taylor, A Leach, Y Long, CG Willcocks IEEE transactions on pattern analysis and machine intelligence 44 (11), 7327 …, 2021 | 526 | 2021 |
| Using deep convolutional neural network architectures for object classification and detection within x-ray baggage security imagery S Akcay, ME Kundegorski, CG Willcocks, TP Breckon IEEE transactions on information forensics and security 13 (9), 2203-2215, 2018 | 353 | 2018 |
| Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise J Wyatt, A Leach, SM Schmon, CG Willcocks Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 234 | 2022 |
| Unit-ddpm: Unpaired image translation with denoising diffusion probabilistic models H Sasaki, CG Willcocks, TP Breckon arXiv preprint arXiv:2104.05358, 2021 | 151 | 2021 |
| Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark BKS Isaac-Medina, M Poyser, D Organisciak, CG Willcocks, TP Breckon, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 76 | 2021 |
| Mednerf: Medical neural radiance fields for reconstructing 3d-aware ct-projections from a single x-ray A Corona-Figueroa, J Frawley, S Bond-Taylor, S Bethapudi, HPH Shum, ... 2022 44th annual international conference of the IEEE engineering in …, 2022 | 72 | 2022 |
| Unleashing transformers: Parallel token prediction with discrete absorbing diffusion for fast high-resolution image generation from vector-quantized codes S Bond-Taylor, P Hessey, H Sasaki, TP Breckon, CG Willcocks European Conference on Computer Vision, 170-188, 2022 | 64 | 2022 |
| Denoising Diffusion Probabilistic Models on SO (3) for Rotational Alignment A Leach, SM Schmon, MT Degiacomi, CG Willcocks International Conference on Learning Representations Workshop on Geometrical …, 2022 | 53 | 2022 |
| Deep learning protein conformational space with convolutions and latent interpolations VK Ramaswamy, SC Musson, CG Willcocks, MT Degiacomi Physical Review X 11 (1), 011052, 2021 | 37 | 2021 |
| Unsupervised region-based anomaly detection in brain MRI with adversarial image inpainting B Nguyen, A Feldman, S Bethapudi, A Jennings, CG Willcocks 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1127-1131, 2021 | 33 | 2021 |
| Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes AV Nasrulloh, CG Willcocks, PTG Jackson, C Geenen, MS Habib, ... IEEE Transactions on Medical Imaging 37 (2), 580-589, 2018 | 25 | 2018 |
| Dynamic unary convolution in transformers H Duan, Y Long, S Wang, H Zhang, CG Willcocks, L Shao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2023 | 22 | 2023 |
| Exact-nerf: An exploration of a precise volumetric parameterization for neural radiance fields BKS Isaac-Medina, CG Willcocks, TP Breckon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Multi-view object detection using epipolar constraints within cluttered x-ray security imagery BKS Isaac-Medina, CG Willcocks, TP Breckon 2020 25th International conference on pattern recognition (ICPR), 9889-9896, 2021 | 16 | 2021 |
| Feature-Varying Skeletonization CG Willcocks, FWB Li The Visual Computer 28 (6-8), 775-785, 2012 | 16 | 2012 |
| Gradient origin networks S Bond-Taylor, CG Willcocks arXiv preprint arXiv:2007.02798, 2020 | 15 | 2020 |
| -Diff: Infinite Resolution Diffusion with Subsampled Mollified States S Bond-Taylor, CG Willcocks International Conference on Learning Representations, 2024 | 14 | 2024 |
| Extracting 3D Parametric Curves from 2D images of Helical Objects CG Willcocks, PTG Jackson, CJ Nelson, B Obara IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (9), 1757-1769, 2017 | 13 | 2017 |
| Deep generative modelling: A comparative review of VAEs, GANs, normalizing flows, energy-based and autoregressive models. arXiv 2021 S Bond-Taylor, A Leach, Y Long, CG Willcocks arXiv preprint arXiv:2103.04922, 2022 | 9 | 2022 |
| The relationship between curvilinear structure enhancement and ridge detection methods HF Alhasson, CG Willcocks, SS Alharbi, A Kasim, B Obara The Visual Computer 37, 2263-2283, 2021 | 9 | 2021 |
Toby P BreckonEngineering & Computer Science, Durham University, UKVerified email at durham.ac.uk
