Apr 2018: EPIC-KITCHENS 2018 goes live today: 11.5M Frames, full HD, 60fps, head-mounted, 32 kitchens from 4 cities (in North America and Europe), 10 nationalities. FULLY annotated: 40K action segments, 454K object bounding boxes. Dataset: http://epic-kitchens.github.io Details at: Arxiv
Apr 2018: Our paper "Human Routine Change Detection using Bayesian Modelling" accepted at ICPR2018, to be presented in Beijing this August. Details
Feb 2018: Our paper "Who's Better, Who's Best" accepted at CVPR2018, to be presented in Salt Lake city this June. Details
Feb 2018: Congrats to Yangdi Xu for passing his PhD viva with minor corrections
Jan 2018: Serving on the High Performance Computing exec board at UoB
Oct 2017: Selected as outstanding reviewer at ICCV 2017
Oct 2017: Well-attended Second Int. Egocentric Perception Interaction and Computing (EPIC) workshop alongside ICCV in Venice
Oct 2017: Our paper "Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video" was presented in ICCV - details
Oct 2017: Our paper "Recurrent Assistance: Cross-Dataset Training of LSTMs on Kitchen Tasks" was presented at ACVR - pdf
Sep 2017: Unit details for the new Applied Deep Learning M level unit - Uni Catalogue
Sep 2017: Serving as associate editor for Pattern Recognition
Aug 2017: Happy to be working as a consultant with Bristol's Cookpad on developing their Computer Vision and Machine Learning agenda
Mar 2017: Slides from my talk on Challenges and Opportunities for Action and Activity Recognition using RGBD Data, BMVA Symposium are now available
Oct 2016: Code Released for 3DV paper on acquisition and registration of point clouds using two facing Kinects
Sep 2016: 3D Data Acquisition and Registration Using Two Opposing Kinects - Paper accepted at 3DV
Aug 2016: Action Completion paper accepted at BMVC and dataset released - Project Webpage
Aug 2016: Nokia Technologies donation of €50K Press release
Aug 2016: Action Completion paper accepted at BMVC, York, Sep 2016. project
July 2016: PhD students Michael Wray and Davide Moltisanti awarded second poster prize at BMVA summer school news
July 2016: CFP: Transfer Learning in Computer Vision - BMVA Symposium [details, dates and submission]
Jun 2016: CVPR 2016 Demo for GlaciAR
Apr 2016: EPSRC Project LOCATE to be funded starting July 2016
Nov 2015: EPSRC Project GLANCE to be funded starting March 2016
Sep 2015: Paper "Unsupervised Daily Routine Modelling from a Depth Sensor using Bottom-Up and Top-Down Hierarchies" accepted at ACPR
Sep 2015: Paper "Estimating Visual Attention from a Head Mounted IMU" presented at ISWC in Okasa, Japan
Sep 2015: Paper "Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling" Presented at BMVC
Aug 2015: PhD Student Vahid Soleiman publishes paper on Remote Pulmonary Function Testing using a Depth Sensor at BIOCAS 2015. Demo Video
June 2015: PLOSONE article available online
June 2015: SI on cognitive robotics systems: concepts and applications at the Journal of Intelligent & Robotic Systems is online
Mar 2015: Interdisciplinary research internship awarded for CS student Hazel Doughty.
Sep 2014: Paper "You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video" presented at BMVC
Sep 2014: Paper "Online quality assessment of human movement from skeleton data" presented at BMVC
Sep 2014: Paper "Multi-user egocentric Online System for Unsupervised Assistance on Object Usage" presented at ECCVW (ACVR 2014)
Aug 2014: C++ code (improved performance v 1.2) and Android apk for real-time object detector available.
July 2014: The Bristol Egocentric Object Interactions Dataset has now been released
July 2014: Book review published in IAPR newsletter
July 2014: Video lectures from BMVC 2013 are now available online.
July 2014: Sphere project's website irc-sphere.ac.uk has now been released (2013-2018).
Feb 2014: PhD Opening in Ego-centric Vision - apply as soon as possible...
Nov 2013: Project GlaciAR is starting funded by Samsung's GRO 2013 Awards
Sep 2013: BMVC 2013 successfully concluded at Bristol
Aug 2013: Outstanding Reviewer award at IEEE AVSS 2013.
June 2013: Outstanding Reviewer award at IEEE CVPR 2013.
May 2013: New bug-fixed version (v1.1) of our Multi-Object Detector (MOD) code is now available online
Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination. H Doughty, D Damen, W Mayol-Cuevas. CVPR (2018). PDF | arxiv
Human Routine Change Detection using Bayesian Modelling. Y Xu, D Damen. ICPR (2018). PDF
Unsupervised Long-Term Routine Modelling using Dynamic Bayesian Networks. Y Xu, D Bull, D Damen. DICTA (2017). PDF
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition. M Wray, D Moltisanti, W Mayol-Cuevas, D Damen. ArXiv, 2017. arxiv
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video. D Moltisanti, M Wray, W Mayol-Cuevas, D Damen. International Conference on Computer Vision (ICCV), 2017. pdf (camera ready) | arxiv
SEMBED: Semantic Embedding of Egocentric Action Videos. M Wray, D Moltisanti, W Mayol-Cuevas, D Damen. Egocentric Interaction, Perception and Computing (EPIC), European Conference on Computer Vision Workshops (ECCVW), Oct 2016. pdf | Dataset
Beyond Action Recognition: Action Completion in RGB-D Data. F Heidarivincheh, M Mirmehdi, D Damen. British Machine Vision Conference (BMVC), Sep 2016. pdf | abstract | Dataset
Video1 (2014), Video2 (2017)
Automated capture and delivery of assistive task guidance with an eyewear computer: The GlaciAR system. T Leelasawassuk, D Damen, W Mayol-Cuevas. Augmented Human, Mar 2017 pdf
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), Sep 2014. PDF | Abstract | Dataset
Multi-user egocentric Online System for Unsupervised Assistance on Object Usage. D Damen, O Haines, T Leelasawassuk, A Calway, W Mayol-Cuevas. ECCV Workshop on Assistive Computer Vision and Robotics (ACVR), Sep 2014. PDF Preprint
Estimating Visual Attention from a Head Mounted IMU. T Leelasawassuk, D Damen, W Mayol-Cuevas. International Symposium on Wearable Computers (ISWC), Sep 2015. PDF
Video 1 | Video 2 | Code
Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. M Camplani, S Hannuna, M Mirmehdi, D Damen, L Tao, T Burghardt and A Paiment. British Machine Vision Conference (BMVC), Sep 2015. PDF.
Video | Code
Real-time Learning and Detection of 3D Texture-minimal Objects: A Scalable approach. D Damen, P Bunnun, A Calway, W Mayol-Cuevas. British Machine Vision Conference (BMVC), Sep 2012. PDF | Abstract | Code | Video | Dataset.
Efficient Texture-less Object Detection for Augmented Reality Guidance. T Hodan, D Damen, W Mayol-Cuevas, J Matas. IEEE Int. Symposium on Mixed and Augmented Reality (ISMAR) Workshop on Visual Recognition and Retrieval for Mixed and Augmented Reality, Sep 2015.
Video 1 | Video 2
Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks. G Bleser, D Damen, A Behera, et al. PLOSONE, June 2015 PDF.
Egocentric Real-time Workspace Monitoring using an RGB-D Camera. D Damen, A Gee, W Mayol-Cuevas, A Calway. Intelligent Robotics and Systems (IROS), Oct 2012. PDF | Video.
Online quality assessment of human movement from skeleton data. A Paiment, L Tao, S Hannuna, M Camplani, D Damen and M Mirmehdi. British Machine Vision Conference (BMVC), Sep 2014. PDF | Dataset.
Explaining Activities as Consistent Groups of Events - A Bayesian Framework using Attribute Multiset Grammars. D Damen and D Hogg International Journal of Computer Vision (IJCV), 2012. PDF.
Recognizing Linked Events: Searching the Space of Feasible Explanations. D Damen and D Hogg. Computer Vision and Pattern Recognition (CVPR), Miami, Florida, June 2009. PDF | Poster
Video | Code
Detecting Carried Objects from Sequences of Walking Pedestrians. D Damen and D Hogg. Pattern Analysis and Machine Intelligence (PAMI), 2012. PDF.
Detecting Carried Objects in Short Video Sequences. D Damen and D Hogg. European Conference on Computer Vision (ECCV), Marseille, France, Oct 2008 PDF | Poster