Journal Papers
Damen, Dima and Hogg, David (2012). Detecting Carried Objects from Sequences of Walking Pedestrians. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) vol 34 (6) pp 1056-1067 pdf
Damen, Dima and Hogg, David (2012). Explaining Activities as Consistent Groups of Events - A Bayesian Framework using Attribute Multiset Grammars. International Journal of Computer Vision (IJCV) vol 98 (1) pp 83-102. pdf
Conference Papers
Damen, Dima and Gee, Andrew and Calway, Andrew and Mayol-Cuevas, Walterio (2011). Detecting and Localising Multiple 3D Objects: A Fast and Scalable Approach. IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11) pdf
Bunnun, Pished and Damen, Dima and Subramanian, Sriram and Mayol-Cuevas, Walterio (2010). Interactive Image-Based Model Building for Handheld Devices. ISMAR Workshop on Augmented Reality Super Models pdf
Damen, Dima and Hogg, David (2009). Attribute Multiset Grammars for Global Explanations of Activities. British Machine Vision Conference (BMVC). pdf, abstract
Damen, Dima and Hogg, David (2009). Recognizing Linked Events: Searching the Space of Feasible Explanations. Computer Vision and Pattern Recognition (CVPR) pdf, poster
Damen, Dima and Hogg, David (2008). Detecting Carried Objects in Short Video Sequences. European Conference on Computer Vision (ECCV) Springer-Verlag. 3,154-167 pdf poster demo
Damen, Dima and Hogg, David (2007). Associating People Dropping off and Picking up Objects. British Machine Vision Conference (BMVC). pdf Oral Presentation
Damen, Dima and Hogg, David (2007). Bicycle Theft Detection. International Crime Science Conference. (CS2) pdf Oral Presentation
Damen, Dima and Hogg, David (2007). Bicycle Theft Detection - How to deal with visual uncertainties. Make Some Noise (Faculty of Engineering Postgraduate Research Symposium). Faculty of Engineering, University of Leeds
Theses
(2009) Activity Analysis: Finding Explanations for Sets of Events. PhD Thesis. University of Leeds abstract pdf (6MB)
(2003) Visual Signature for Large Scale Tracking. MSc Thesis. University of Leeds pdf
