Neill Campbell
Professor
of Visual Computing
and Machine Learning
at University College London

Visual Computing and Machine Learning

Welcome to my website. I work in the Department of Computer Science at University College London as Professor of Visual Computing and Machine Learning alongside colleagues working on Computer Vision, Computer Graphics, Inverse Problems and Machine Learning.

I am a former Royal Society Industry Fellow and retain an affiliation with the Department of Computer Science at the University of Bath.

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 UCL, Bath and beyond; details can be found on the group page.

I am the director 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 the director of research and lead one of the pathfinders for the exciting MyWorld project; this is a £46 million creative hub funded by UKRI’s Strength in Places Fund (SIPF) and an alliance of more than 30 industry and academic partners.

I am fortunate to be the chair of the British Machine Vision Association (BMVA) Executive Committee, the body that overseas BMVA activities such as the British Machine Vision Conference (BMVC), Technical Meetings, Summer School etc.. Please get in contact via the BMVA website if you would like to get involved with the BMVA!

Short Biography

Before moving back to UCL, I was a Professor in the Department of Computer Science at the University of Bath and a member of the Visual Computing and Artifical Intelligence and Machine Learning Research Groups.

Prior 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.