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Personal profile

Research interests

I am a Royal Society Industry Fellow and work in the Department of Computer Science as a Senior Lecturer (Associate Professor) in Visual Computing and Machine Learning. I am an investigator in the CAMERA research centre and the Visual Computing Group.

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 PhD

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

Education/Academic qualification

Engineering, Doctor of Philosophy, University of Cambridge

20062010

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 → …

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2021

Research Output 2008 2019

DEVELOPMENT OF AN AUTOMATED SEGMENTATION ALGORITHM TO IDENTIFY BONES OF THE HAND

Rambojun, A., Tillett, W., Campbell, N. & Shardlow, T., 27 Jun 2019, In : Annals of the Rheumatic Diseases. 78, Suppl 2, THU0595.

Research output: Contribution to journalMeeting abstract

DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures

Lawrence, A., Ek, C. H. & Campbell, N., 9 Jun 2019, Proceedings of the 36th International Conference on Machine Learning. Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, California, USA: PMLR, Vol. 97. p. 3682-3691 10 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

Gaussian Process Latent Variable Alignment Learning

Kazlauskaite, I., Ek, C. H. & Campbell, N., 16 Apr 2019.

Research output: Contribution to conferencePaper

9 Downloads (Pure)

MegaParallax: Casual 360° Panoramas with Motion Parallax

Bertel, T., Campbell, N. & Richardt, C., 1 May 2019, In : IEEE Transactions on Visualization and Computer Graphics. 25, 5, p. 1828-1835 8 p., 8651483.

Research output: Contribution to journalArticle

Wibergian Learning of Continuous Energy Functions

Russell, C., Toso, M. & Campbell, N., 11 Sep 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Thesis

Efficient Accumulation, Analysis and Visualisation of Full-Waveform LiDAR in a Volumetric Representation with Applications to Forestry

Author: Miltiadou, M., 11 Dec 2017

Supervisor: Brown, M. (Supervisor), Campbell, N. (Supervisor), Cosker, D. (Supervisor) & Grant, M. (External person) (Supervisor)

Student thesis: Doctoral ThesisDoctor of Engineering (EngD)

File

E-StopMotion: Reconstructing and Enhancing 3D Animation of Stop Motion Characters by Reverse Engineering Plasticine Deformation

Author: Ciucanu, A., 19 Jun 2019

Supervisor: Campbell, N. (Supervisor) & Cosker, D. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Engineering (EngD)

File