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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

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

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

Adversarial pulmonary pathology translation for pairwise chest x-ray data augmentation

Xing, Y., Ge, Z., Zeng, R., Mahapatra, D., Seah, J., Law, M. & Drummond, T., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Proceedings, Part VI. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Cham Switzerland: Springer, p. 757-765 9 p. (Lecture Notes in Computer Science; vol. 11769).

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

2 Citations (Scopus)

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

1 Citation (Scopus)

Event-based motion segmentation by motion compensation

Stoffregen, T., Gallego, G., Drummond, T., Kleeman, L. & Scaramuzza, D., 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV 2019). Kweon, I. S., Paragios, N., Yang, M-H. & Lazebnik, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 7243-7252 10 p.

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

2 Citations (Scopus)