Dr Dima Aldamen

Summary

Artificial Intelligence, Computer Vision, Machine Learning, Activity Analysis, Action Recognition, First-Person Vision, Egocentric Vision, Video Analysis

Short Bio...

Reader (Associate 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), associate editor of Pattern Recognition. In 2016, She was selected as a Nokia Research collaborator. Dima currently supervises 8 PhD students, and 3 postdoctoral researchers.

Awards and Fellowships

• Outstanding Reviewer, ICCV, 2017
• University Research Fellowship 2017/2018, University of Bristol, 2017
• Nokia Research Collaborator, 2016
• Outstanding Reviewer, IEEE CVPR, 2013
• Outstanding Review, IEEE AVSS, 2013
• Outstanding Reviewer, IEEE CVPR, 2012
• Overseas Research Students Award Scholarship (ORSAS), 2006-2009
• MSc Prize for Best Academic Performance, University of Leeds, 2003

More information: http://dimadamen.github.io

Biography

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

Memberships

Organisations

Department of Computer Science

Other sites

• Computerscience

Research Groups

• Visual Information Laboratory - Core
• Digital Health Engineering - Core

Recent publications

• Heidarivincheh, F, Mirmehdi, M & Damen, D, 2019, ‘Weakly-Supervised Completion Moment Detection using Temporal Attention’. in: ICCV Workshop on Human Behaviour Understanding 2019.
• Elkholy, A, Hussein, M, Gomaa, W, Damen, D & Saba, E, 2019, ‘Efficient and Robust Skeleton-Based Quality Assessment and Abnormality Detection in Human Action Performance’. IEEE Journal of Biomedical and Health Informatics.
• Jang, Y, Sullivan, BT, Ludwig, CJH, Gilchrist, ID, Damen, D & Mayol-Cuevas, WW, 2019, ‘EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly’.
• Damen, D & Price, W, 2019, ‘Retro-Actions: Learning ‘Close’ by Time-Reversing ‘Open’ Videos’.
• Kazakos, V, Nagrani, A, Zisserman, A & Damen, D, 2019, ‘EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition’.
• Wray, M, Larlus, D, Csurka, G & Damen, D, 2019, ‘Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings’.
• Masullo, A, Burghardt, T, Damen, D, Perrett, T & Mirmehdi, M, 2019, ‘Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments’.
• Lopez, VP, Burghardt, T, Sun, Y, Hannuna, S, Aldamen, D & Mirmehdi, M, 2019, ‘Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs’. in: International Conference on Image Analysis and Processing: Lecture Notes in Computer Science. Springer, pp. 488-498
• Moltisanti, D, Fidler, S & Aldamen, D, 2019, ‘Action Recognition from Single Timestamp Supervision in Untrimmed Videos’.
• Wray, M & Aldamen, D, 2019, ‘Learning Visual Actions Using Multiple Verb-Only Labels’.

View complete publications list in the University of Bristol publications system