Projects per year
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
2006 → 2010
Engineering, Master of Engineering, University of Cambridge
2002 → 2006
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2013 2021
The Rheumatoid Arthritis Flare Up Profiler
1/09/18 → 31/12/19
Project: Central government, health and local authorities
Automated microscopy for high-throughput malaria research.
1/07/18 → 30/06/20
Project: Research council
Microscopic examination
Microscopes
Blood
Computer vision
Cells
Research Output 2008 2018
Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest
Miltiadou, M., Campbell, N. D. F., Gonzalez Aracil, S., Brown, T. & Grant, M. G., 1 May 2018, In : ITC Journal. 67, p. 135-147Research output: Contribution to journal › Article
Open Access
DiverseNet: When One Right Answer is not Enough
Firman, M., Campbell, N., Agapito, L. & Brostow, G. J., 20 Mar 2018, (Accepted/In press).Research output: Contribution to conference › Paper
Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation
Di Martino, A., Bodin, E., Ek, C. H. & Campbell, N., 2018.Research output: Contribution to conference › Paper
Open Access
Structured Uncertainty Prediction Networks
Dorta, G., Vicente, S., Agapito, L., Campbell, N. & Simpson, I., 20 Mar 2018, (Accepted/In press). 8 p.Research output: Contribution to conference › Paper
Open Access
File
Covariance matrix
Image denoising
Sampling
Uncertainty
The GAN that Warped: Semantic Attribute Editing with Unpaired Data
Dorta, G., Vicente, S., Campbell, N. & Simpson, I., 2018, (Submitted).Research output: Contribution to conference › Paper
File
Thesis
Efficient Accumulation, Analysis and Visualisation of Full-Waveform LiDAR in a Volumetric Representation with Applications to Forestry
Author: Miltiadou, M., 11 Dec 2017Supervisor: Brown, M. (Supervisor), Campbell, N. (Supervisor), Cosker, D. (Supervisor) & Grant, M. (External person) (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Engineering (EngD)
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