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Chris G. Willcocks Associate Professor Department of Computer Science Durham University Office: MCS 2026 |
Research
Research in unsupervised deep generative models and machine reasoning. Here is a list of publications and a link to Google scholar. For recent news please visit my twitter profile, and for software updates visit github.
Highlights
- 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
- 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
- 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/
- Bond-Taylor, S., & Willcocks, C. G. (2021). Gradient Origin Networks. International Conference on Learning Representations. ICLR. URL: https://openreview.net/pdf?id=0O_cQfw6uEh
- 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
Teaching
Teaching the year three deep learning and reinforcement learning modules, alongside the year two cyber security submodule. Slides and other material are available in the teaching section. Past teaching:
- Deep Learning (2019-present)
- Reinforcement Learning (2020-present)
- Cyber Security (2017-present)
- Machine Learning (2018)
Biography
Associate professor in computer science, specialising in generative models and machine reasoning. His research group have authored 35+ peer-reviewed publications in world-leading conferences/journals within computer science, applied mathematics, and security, including ICLR, TPAMI, CVPR, ECCV, ICCV and TIFS.
Professional Activities
- Admissions tutor (2021-present).
- Fellowship of the HEA (FHEA).
- Invited speaker at National DICE Conference (2024).
- Area Chair of BMVC 2023.
- Invited speaker at Chinese University of Hong Kong (CUHK), 2023.
- Invited speaker at National DICE Conference (2023).
- Invited speaker at BMVA 2022 Summer School (slides).
- Open Day coordinator (2021-2022).
- Area Chair of BMVC 2021.
- Invited speaker at 2020 Cyber Operational Conference on ‘Meta learning: Smart Interfacing’.
- Area Chair of BMVA 2020 Conference.
- Participating scientist on Scientist Next Door (SND).
- Invited speaker at Chinese University of Hong Kong (CUHK), 13th Aug 2019.
- Chair of BMVA symposium of ‘Deep Learning in 3-Dimensions’, 20th Feb 2019.
- Speaker on BBC Sunday Politics discussing Cyber Security spending in public bodies.
- Invited to present at Durham Celebrating Excellence research exhibition.
- Member of W3C Web Assembly.
- Reviewer for CVPR.
- Reviewer for ICLR.
- Reviewer for EU Commission.
- Reivewer for IEEE Transactions on Information Forensics & Security.
- Reivewer for IEEE Transactions on Medical Imaging.
- Reivewer for IEEE Transactions on Image Processing.
- Reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence.
- Reviewer for IEEE Transactions on Neural Networks and Learning Systems .
- Reviewer for Journal of Real-Time Image Processing
- Member of Scientific Computing research group.
If you like maths and rain, you may like this relaxing interactive visualisation that I made. You can play rain sound and control it with the: F, P, S, M and X keys.
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