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Personal profile

Research interests

I apply machine learning to a wide selection of problems, particularly those involving computer visions and graphics. I have a strong interests in graphical models, Bayesian non-parametric models, directional statistics and active learning.

I am currently especially interested in projects involving tools to help artists, machine learning for education, online/realtime machine learning, causality, and scaling non-parametric methods to big data.

External positions

Director, 3Dami

Jul 2012 → …

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Research Output

Dirichlet Process Gaussian-mixture model: An application to localizing coalescing binary neutron stars with gravitational-wave observations

Pozzo, W. D., Berry, C. P. L., Ghosh, A., Haines, T. S. F. & Vecchio, A., 1 Sep 2018, In : Monthly Notices of the Royal Astronomical Society. 479, 1, p. 601-614 14 p.

Research output: Contribution to journalArticle

Open Access
  • 10 Citations (Scopus)
    27 Downloads (Pure)

    Texture Stationarization: Turning Photos into Tileable Textures

    Moritz, J., James, S., Fincham Haines, T., Ritschel, T. & Weyrich, T., 2017, p. 177-188. 12 p.

    Research output: Contribution to conferencePaper

    Open Access
  • 3 Citations (Scopus)
    155 Downloads (Pure)

    My Text in Your Handwriting

    Haines, T. S. F., Mac Aodha, O. & Brostow, G. J., 30 Jun 2016, In : ACM Transactions on Graphics. 35, 3, p. 1-19 19 p., 26.

    Research output: Contribution to journalArticle

    Open Access
  • 13 Citations (Scopus)
    135 Downloads (Pure)

    Active rare class discovery and classification using Dirichlet processes

    Haines, T. S. F. & Xiang, T., 1 Feb 2014, In : International Journal of Computer Vision. 106, 3, p. 315-331 18 p.

    Research output: Contribution to journalArticle

    Open Access
  • 11 Citations (Scopus)
    134 Downloads (Pure)

    Background Subtraction with Dirichlet Process Mixture Models

    Fincham Haines, T. & Xiang, T., 5 Dec 2013, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 4, p. 670-683 14 p.

    Research output: Contribution to journalArticle

    Open Access
  • 111 Citations (Scopus)
    144 Downloads (Pure)