Latest News

May 2021    Erik will be presenting our paper on density estimation at ICML 2021.

Jan 2021    Adwaye will be presenting our work on shape models for analysing psoriatic arthritis radiographs at WACV 2021.

Dec 2020    Erik will be presenting our paper on density estimation at the Workshop on Machine Learning and the Physical Sciences at NeurIPS 2020.

Sep 2020    I will be chairing BMVC 2020 as a Virtual Conference - we hope to see you there!

Visual Computing and Machine Learning

Welcome to my website. I am a Royal Society Industry Fellow and work in the Department of Computer Science at the University of Bath as a Reader (Associate Professor) in Computer Vision, Graphics 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.

Research

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.

Working at the intersection of visual computing and machine learning we tend to publish our work at a variety of venues including CVPR, ICCV, ECCV and SIGGRAPH as well as NeurIPS, ICML, AISTATS. Further details may be found on the research pages as well as details of our publications.

Group

I am very lucky to work with a dynamic group of researchers and collaborators at Bath and beyond; details can be found on the group page.

I am a member of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) that researches and applies visual computing and machine learning technology in the fields of Entertainment, Health and Sports Science.

I am also co-director of the new Centre for Mathematics and Algorithms for Data, an inter-disciplinary group between Mathematical Sciences and Computer Science that studies, in particular, the theoretical underpinnings of Machine Learning and Data Science.

Short Biography

Before moving to Bath I was a Research Associate in the Virtual Environments and Computer Graphics Group at University College London working with Jan Kautz and Simon Prince on synthesizing and editing photorealistic visual objects funded by the EPSRC.

Previously I was a Research Associate in the Computer Vision Group of the Machine Intelligence Laboratory, in the Department of Engineering at the University of Cambridge working on the EU Hydrosys Project led by Ed Rosten.

I completed my PhD, in the Computer Vision Group at the University of Cambridge, under the supervision of Roberto Cipolla and the guidance of George Vogiatzis and Carlos Hernández. I was funded by a Schiff Foundation Scholarship and Toshiba Research Europe.

News

May 2021    Erik will be presenting our paper on density estimation at ICML 2021.

Jan 2021    Adwaye will be presenting our work on shape models for analysing psoriatic arthritis radiographs at WACV 2021.

Dec 2020    Erik will be presenting our paper on density estimation at the Workshop on Machine Learning and the Physical Sciences at NeurIPS 2020.

Sep 2020    I will be chairing BMVC 2020 as a Virtual Conference - we hope to see you there!

Jul 2020    Many congratulations to Ieva for passing her viva and starting her new PostDoc in Stochastic Modelling at CUED!

Jul 2020    Erik will be presenting our paper on improved surrogates for Bayesian Optimisation at ICML 2020.

Jun 2020    We will be presenting our paper on compositional uncertainty in deep Gaussian processes at UAI 2020.

Jun 2020    Well done to Matteo for presenting our work (video here) on implicit differentiation at the CVPR Workshop on Deep Declarative Networks.

Mar 2020    Many congratulations to Adwaye for passing his viva!

Feb 2020    We will be presenting our paper on warping GANs for image editing at CVPR 2020.

Jan 2020    We will be presenting our paper on monotonic Gaussian process flows at AISTATS 2020.

Jan 2020    Many congratulations to Garoe for passing his viva!