Dr Dima Aldamen

Research summary

Artificial Intelligence, Computer Vision, Activity Analysis, Global Explanations, Motion & Tracking, Egocentric Activity Monitoring, Object Detection

Short Bio...

Lecturer (Assistant Professor) in Computer Vision at the University of Bristol. Received her PhD from the University of Leeds (2009). Dima's research interests are in the automatic understanding of object interactions, actions and activities using static and wearable visual (and depth) sensors. Dima co-chaired BMVC 2013, is area chair for BMVC (2014-2017) and associate editor of IET Computer Vision. In 2016, She was selected as a Nokia Research collaborator. Dima currently supervises 7 PhD students, and 2 postdoctoral researchers.

Awards and ...

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Biography

Personal Webpage: http://www.cs.bris.ac.uk/~damen

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Recent publications

• Soleimani, V, Mirmehdi, M, Aldamen, D, Dodd, J, Hannuna, S, Sharp, C, Camplani, M & Viner, J, 2017, ‘Remote, depth-based lung function assessment’. IEEE Transactions on Biomedical Engineering, vol 64., pp. 1943-1958
• Chen, L, Kondo, K, Nakamura, Y, Aldamen, D & Mayol-Cuevas, W, 2017, ‘Hotspots detection for machine operation in egocentric vision’. in: 2017 15th IAPR International Conference on Machine Vision Applications (MVA). Institute of Electrical and Electronics Engineers (IEEE)

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View complete publications list in the University of Bristol publications system