Dima Damen
Dima Damen
Associate Professor, University of Bristol
Verified email at bristol.ac.uk - Homepage
Cited by
Cited by
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset
D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, ...
European Conference on Computer Vision (ECCV), 2018
You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video
D Damen, T Leelasawassuk, O Haines, A Calway, W Mayol-Cuevas, ...
British Machine Vision Conference (BMVC), 2014
Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach
D Damen, P Bunnun, A Calway, W Mayol-Cuevas
British Machine Vision Conference, 2012
Recognizing linked events: Searching the space of feasible explanations
D Damen, D Hogg
2009 IEEE Conference on Computer Vision and Pattern Recognition, 927-934, 2009
A multi-modal sensor infrastructure for healthcare in a residential environment
P Woznowski, X Fafoutis, T Song, S Hannuna, M Camplani, L Tao, ...
2015 IEEE International Conference on Communication Workshop (ICCW), 271-277, 2015
Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling.
M Camplani, SL Hannuna, M Mirmehdi, D Damen, A Paiement, L Tao, ...
BMVC 3, 2015
Online quality assessment of human movement from skeleton data
A Paiement, L Tao, S Hannuna, M Camplani, D Damen, M Mirmehdi
British Machine Vision Conference, 153-166, 2014
A comparative study of pose representation and dynamics modelling for online motion quality assessment
L Tao, A Paiement, D Damen, M Mirmehdi, S Hannuna, M Camplani, ...
Computer Vision and Image Understanding 11, 2016
Ds-kcf: a real-time tracker for rgb-d data
S Hannuna, M Camplani, J Hall, M Mirmehdi, D Damen, T Burghardt, ...
Journal of Real-Time Image Processing, 1-20, 2019
SPHERE: A sensor platform for healthcare in a residential environment
P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ...
Designing, Developing, and Facilitating Smart Cities, 315-333, 2017
Detecting Carried Objects from Sequences of Walking Pedestrians
D Damen, D Hogg
Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1-1, 2012
Multiple human tracking in RGB-D Data: A Survey
M Camplani, A Paiement, M Mirmehdi, D Damen, S Hannuna, ...
arXiv preprint arXiv:1606.04450, 2016
Cognitive learning, monitoring and assistance of industrial workflows using egocentric sensor networks
G Bleser, D Damen, A Behera, G Hendeby, K Mura, M Miezal, A Gee, ...
PloS one 10 (6), e0127769, 2015
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition
E Kazakos, A Nagrani, A Zisserman, D Damen
International Conference on Computer Vision (ICCV), 2019
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
H Doughty, D Damen, W Mayol-Cuevas
Computer Vision and Pattern Recognition (CVPR), 2018
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination
H Doughty, D Damen, W Mayol-Cuevas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Detecting carried objects in short video sequences
D Damen, D Hogg
European Conference on Computer Vision, 154-167, 2008
Egocentric real-time workspace monitoring using an rgb-d camera
D Damen, A Gee, W Mayol-Cuevas, A Calway
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012
You-Do, I-Learn: Egocentric unsupervised discovery of objects and their modes of interaction towards video-based guidance
D Damen, T Leelasawassuk, W Mayol-Cuevas
Computer Vision and Image Understanding 149, 98-112, 2016
Estimating visual attention from a head mounted IMU
T Leelasawassuk, D Damen, WW Mayol-Cuevas
Proceedings of the 2015 ACM International Symposium on Wearable Computers …, 2015
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