Contributor
Biography
I am a Royal Society Industry Fellow and work in the Department of Computer Science at the University of Bath as Professor of Visual Computing and Machine Learning. I also hold an Honorary Associate Professor position in the Vision and Imaging Science Group in the Department of Computer Science at University College London.
My main area of research involves learning models of shape (2D and 3D), appearance and dynamics from images. In particular, I am interested in performing this in an automatic or interactive fashion that allows these technologies to be put to use in a variety of applications without requiring users to have computer vision or graphics expertise.
I am also interested in machine learning problems where data are scarce or expensive to obtain (e.g. annotations from expert clinicians) and when uncertainty in the resulting output is important (e.g. medical applications). This has led to work on unsupervised (or semi-supervised) learning with Bayesian non-parametric models, in particular Gaussian processes.
My main area of research involves learning models of shape (2D and 3D), appearance and dynamics from images. In particular, I am interested in performing this in an automatic or interactive fashion that allows these technologies to be put to use in a variety of applications without requiring users to have computer vision or graphics expertise.
I am also interested in machine learning problems where data are scarce or expensive to obtain (e.g. annotations from expert clinicians) and when uncertainty in the resulting output is important (e.g. medical applications). This has led to work on unsupervised (or semi-supervised) learning with Bayesian non-parametric models, in particular Gaussian processes.
Presentations
