Projects per year
Artificial Intelligence, Computer Vision, Machine Learning, Activity Analysis, Action Recognition, First-Person Vision, Egocentric Vision, Video Analysis
Dima Damen is a Professor in Computer Vision at the University of Bristol. Dima is currently an EPSRC Fellow (2020-2025), focusing her research interests in the automatic understanding of object interactions, actions and activities using wearable visual (and depth) sensors. She has contributed to novel research questions including assessing action completion, skill/expertise determination from video sequences, discovering task-relevant objects, dual-domain and dual-time learning as well as multi-modal fusion using vision, audio and language. She is the project lead for EPIC-KITCHENS, the largest dataset in egocentric vision, with accompanying open challenges. She also leads the EPIC annual workshop series alongside major conferences (CVPR/ICCV/ECCV). Dima is a program chair for ICCV 2021, associate editor of IJCV, IEEE TPAMI and Pattern Recognition. She was selected as a Nokia Research collaborator in 2016, and as an Outstanding Reviewer in CVPR2021, CVPR2020, ICCV2017, CVPR2013 and CVPR2012. Dima received her PhD from the University of Leeds (2009), joined the University of Bristol as a Postdoctoral Researcher (2010-2012), Assistant Professsor (2013-2018), Associate Professor (2018-2021) and was appointed as chair in August 2021. She supervises 9 PhD students, and 5 postdoctoral researchers.
Awards and Fellowships
- Outstanding Reviewer, CVPR 2021
- Outstanding Reviewer, CVPR 2020
- 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
- Computer Vision
- Machine Learning
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iCOP 2.0 - AI-based advances for law enforcement’s response to online child sexual exploitation and abuse in southeast Asia
1/01/21 → 1/01/23
1/02/20 → 31/01/25
Damen, D., Doughty, H. R., Farinella, G. M., Furnari, A., Kazakos, V., Ma, J., Moltisanti, D., Munro, J. P. N., Perrett, T. J., Price, W. & Wray, M., Jan 2022, In: International Journal of Computer Vision (IJCV). 130, 1, p. 33–55 23 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-reviewOpen AccessFile6 Citations (Scopus)91 Downloads (Pure)
Perrett, T. J., Masullo, A., Burghardt, T., Mirmehdi, M. & Damen, D., 25 Jun 2021. 8 p.
Research output: Contribution to conference › Conference Paper › peer-reviewOpen AccessFile91 Downloads (Pure)
Kazakos, E., Nagrani, A., Zisserman, A. & Damen, D., 13 May 2021, (E-pub ahead of print) ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers (IEEE), 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)Open AccessFile57 Downloads (Pure)
Damen, D. (Creator), Moltisanti, D. (Creator), Kazakos, E. (Creator), Doughty, H. (Creator), Munro, J. (Creator), Price, W. (Creator), Wray, M. (Creator), Perrett, T. J. (Creator), Fidler, S. (Contributor), Farinella, G. M. (Contributor) & Furnari, A. (Contributor), University of Bristol, 3 Apr 2018