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Personal profile

Biography

Tom is a professor of Electrical and Computer Systems Engineering. He has a BA(Hons) in mathematics and an MA (University of Cambridge) as well as a PhD in Computer Science (Curtin University).  His research web page is here.

Keywords

  • Computer Vision
  • Augmented Reality
  • Robotics
  • Machine Learning

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

Projects 2018 2019

UAV Sensing and Data Discovery for a Changing Planet

Micklethwaite, S., Walker, J., Clarke, R., Tapper, N., Sullivan, L., Drummond, T., McClusky, S., Lu, G., Dahlhaus, P., Florentine, S., PopStefanija, I. & Rawling, T.

1/05/1831/12/18

Project: Other

Research Output 1999 2019

Learning factorized representations for open-set domain adaptation

Baktashmotlagh, M., Faraki, M., Drummond, T. & Salzmann, M., 2019, International Conference on Learning Representations 2019. New Orleans LA USA: Internation Conference on Learning Representation (ICLR), p. 1-11 11 p.

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

Open Access
File

Approximate fisher information matrix to characterise the training of deep neural networks

Liao, Z., Drummond, T., Reid, I. & Carneiro, G., 16 Oct 2018, (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Artificial intelligence assisted condition assessment

Nash, W., Holloway, L., Drummond, T. & Birbilis, N., 1 Feb 2018, In : Corrosion and Materials. 43, 1, p. 78-81 4 p.

Research output: Contribution to journalArticleResearchpeer-review

CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks

Spek, A., Dharmasiri, T. & Drummond, T., 27 Dec 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 540-547 8 p. 8594243. (IEEE International Conference on Intelligent Robots and Systems).

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

Deep metric learning and image classification with nearest neighbour gaussian kernels

Meyer, B. J., Harwood, B. & Drummond, T., 29 Aug 2018, 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, p. 151-155 5 p. 8451297. (Proceedings - International Conference on Image Processing, ICIP).

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