Personal profile

Research interests

I am a Royal Society Industry Fellow and Professor of Visual Computing and Machine Learning in the Department of Computer Science. I am the Director of the CAMERA research centre and work with the Visual Computing Group as well as serving as co-director of the university's research centre in Mathematics and Algorithms for Data.

I am interested in the modelling of shape and the use of machine learning techniques applied in the domain of computer vision (processing images from the real world) and graphics (creating and manipulating new images). Shape is such a fundamental component of graphics and vision that research in this field unifies the two subjects and there is obviously a great advantage to solving problems in both areas simultaneously since they help one-another. My latest ongoing research aims to learn automatically models of both man-made and natural shapes, and produce intelligent systems that make it easier to process, create and manipulate images. For further details please see my personal homepage for further details and publications.

Willing to supervise doctoral students

Please see the link here for details on open PhD and PostDoc positions in my group.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Engineering, Doctor of Philosophy, Automatic 3D Model Acquisition from Uncalibrated Images, University of Cambridge

20062010

Award Date: 14 May 2011

Engineering, Master of Engineering, University of Cambridge

20022006

External positions

Honorary Associate Professor, University College London

2018 → …

Royal Society Industry Fellow, The Royal Society

2017 → …

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Collaborations and top research areas from the last five years

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  • Open Access
  • The Robust Semantic Segmentation UNCV2023 Challenge Results

    Yu, X., Zuo, Y., Wang, Z., Zhang, X., Zhao, J., Yang, Y., Jiao, L., Peng, R., Wang, X., Zhang, J., Zhang, K., Liu, F., Alcover-Couso, R., Sanmiguel, J. C., Escudero-Viñolo, M., Tian, H., Matsui, K., Wang, T., Adan, F., Gao, Z., & 17 othersHe, X., Bouniot, Q., Moghaddam, H., Rai, S. N., Cermelli, F., Masone, C., Pilzer, A., Ricci, E., Bursuc, A., Solin, A., Trapp, M., Li, R., Yao, A., Chen, W., Simpson, I., Campbell, N. D. F. & Franchi, G., 6 Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. U. S. A.: IEEE, p. 4620-4630 11 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

  • VAEs with structured image covariance applied to compressed sensing MRI

    Duff, M. A. G., Simpson, I. J. A., Ehrhardt, M. J. & Campbell, N. D. F., 3 Aug 2023, In: Physics in Medicine and Biology. 68, 16, 165008.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    1 Citation (SciVal)
  • Aligned Multi-Task Gaussian Process

    Mikheeva, O., Kazlauskaite, I., Hartshorne, A., Kjellström, H., Ek, C. H. & Campbell, N. D. F., 30 Mar 2022, Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS). Camps-Valls, G., Ruiz, F. J. R. & Valera, I. (eds.). Vol. 151. p. 2970-2988 19 p. (Proceedings of Machine Learning Research).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
  • Aligned Multi-Task Gaussian Process

    Mikheeva, O., Kazlauskaite, I., Hartshorne, A., Kjellström, H., Ek, C. H. & Campbell, N., 28 Mar 2022.

    Research output: Contribution to conferencePaperpeer-review

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