Department of Computer Science
Dr Neill Campbell


1 West 3.53

Dept of Computer Science


Tel: +44 (0) 1225 38 5950


Dr Neill Campbell


Research interests

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.


Ilisescu, C., Kanaci, A., Romagnoli, M., Campbell, N. D. F. and Brostow, G.J., 2017. Forthcoming. Responsive Action-Based Video Synthesis. In: ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2017), 2017-05-06 - 2017-05-11, Colorado Convention Center.

Kazlauskaite, I., Ek, C. H. and Campbell, N., 2016. Learning Alignments from Latent Space Structures. In: NIPS Workshop on Learning in High Dimensions with Structure, 2016-12-09.

Li, W., Viola, F., Starck, J., Brostow, G. J. and Campbell, N., 2016. Roto++: accelerating professional rotoscoping using shape manifolds. ACM Transactions on Graphics, 35 (4), 62.

Beale, D., Yang, Y., Campbell, N., Cosker, D. and Hall, P., 2016. Fitting quadrics with a Bayesian prior. Computational Visual Media, 2 (2), pp. 107-117.

Beale, D., Hall, P., Cosker, D., Yang, Y. and Campbell, N., 2016. Fitting quadrics with a Bayesian prior. In: 4th International conference on Computational Visual Media (CVM 2016), 2016-04-06 - 2016-04-08, Wales.

Miltiadou, M., Brown, M., Cosker, D., Campbell, N. and Grant, M., 2016. Improving and Optimising Visualisations of full-waveform LiDAR data.

Yu, R., Russell, C., Campbell, N. and Agapito, L., 2015. Direct, Dense, and Deformable:Template-Based Non-Rigid 3D Reconstruction from RGB Video. In: IEEE International Conference on Computer Vision (ICCV 2015), 2015-12-13.

Turmukhambetov, D., Campbell, N. D. F., Goldman, D. B. and Kautz, J., 2015. Interactive sketch-driven image synthesis. Computer Graphics Forum, 34 (8), pp. 130-142.

Turmukhambetov, D., Campbell, N., Prince, S. and Kautz, J., 2015. Modeling Object Appearance using Context-Conditioned Component Analysis. In: International Conference on Computer Vision and Pattern Recognition (CVPR), 2015-06-08 - 2015-06-10. IEEE, pp. 4156-4164.

Campbell, N. D. F. and Kautz, J., 2014. Learning a Manifold of Fonts. ACM Transactions on Computer Systems, 33 (4).

Mac Aodha, O., Campbell, N., Kautz, J. and Brostow, G.J., 2014. Hierarchical Subquery Evaluation for Active Learning on a Graph. In: International Conference on Computer Vision and Pattern Recognition (CVPR), 2014-06-24 - 2014-06-27.

Campbell, N.D.F., Subr, K. and Kautz, J., 2013. Fully-connected CRFs with non-parametric pairwise potential. IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Mac Aodha, O., Campbell, N. D. F., Nair, A. and Brostow, G. J., 2012. Patch based synthesis for single depth image super-resolution. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y. and Schmid, C., eds. Computer Vision – ECCV 2012. Berlin, Germany: Springer, pp. 71-84.

Campbell, N.D.F., Vogiatzis, G., Hernández, C. and Cipolla, R., 2011. Automatic object segmentation from calibrated images. In: Proceedings - Conference for Visual Media Production (CVMP), 2011. IEEE, pp. 126-137.

Campbell, N.D.F., Vogiatzis, G., Hernández, C. and Cipolla, R., 2010. Automatic 3D object segmentation in multiple views using volumetric graph-cuts. Image and Vision Computing, 28 (1), pp. 14-25.

Campbell, N.D.F., Vogiatzis, G., Hernández, C. and Cipolla, R., 2008. Using multiple hypotheses to improve depth-maps for multi-view stereo. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).Vol. 5302 LNCS. , pp. 766-779.

This list was generated on Mon Oct 16 11:47:35 2017 IST.

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