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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.

Research area 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.

1/01/1820/12/18

Project: Other

Research Output 1999 2020

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

Liao, Z., Drummond, T., Reid, I. & Carneiro, G., Jan 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 1, p. 15-26 12 p.

Research output: Contribution to journalArticleResearchpeer-review

Deep learning AI for corrosion detection

Nash, W., Drummond, T. & Birbilis, N., 2019, Corrosion 2019. NACE International, 11 p. (NACE - International Corrosion Conference Series).

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

ENG: end-to-end neural geometry for robust depth and pose estimation using CNNs

Dharmasiri, T., Spek, A. & Drummond, T., 2019, Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision Perth, Australia, December 2–6, 2018 Revised Selected Papers, Part I. Jawahar, C. V., Li, H., Mori, G. & Schindler, K. (eds.). Cham Switzerland: Springer, p. 625-642 18 p. (Lecture Notes in Computer Science; vol. 11361).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Learning factorized representations for open-set domain adaptation

Baktashmotlagh, M., Faraki, M., Drummond, T. & Salzmann, M., 2019, International Conference on Learning Representations 2019. Rush, A. (ed.). La Jolla CA USA: International Conference on Learning Representations (ICLR), 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Look no deeper: recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation

Garg, S., Babu, M. V., Dharmasiri, T., Hausler, S., Suenderhauf, N., Kumar, S., Drummond, T. & Milford, M., 2019, 2019 International Conference on Robotics and Automation (ICRA). Desai, J. P. (ed.). Danvers MA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 4916-4923 8 p. (Proceedings - IEEE International Conference on Robotics and Automation).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review