Prof. Majid Mirmehdi Professor of Computer Vision Fellow IAPR, BMVA Distinguished Fellow Visual Information Laboratory Department of Computer Science University of Bristol Merchant Venturers Building Woodland Road, Bristol BS8 1UB, UK Tel: +44 (0)117-954 5139 , Fax: +44 (0)117-954 5208 Email: M.Mirmehdi@cs.bris.ac.uk ORCID:0000-0002-6478-1403

Selection of Research Projects

Temporal-Relational CrossTransformers

Temporal-Relational CrossTransformers for Few-Shot Action Recognition. T Perrett, A Masullo, T Burghardt, M Mirmehdi, D Damen. CVPR (2021). ArXiv | Project Webpage | Code and Model

Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications

Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications. A Masullo, T Burghardt, D Damen, T Perrett, M Mirmehdi. Sensors 20(9) 2020. HTML | PDF

Meta-Learning with Context-Agnostic Initialisation

Meta-Learning with Context-Agnostic Initialisation. T Perrett, A Masullo, T Burghard, M Mirmehdi, D Damen. ACCV 2020. CVF | CVF PDF | Project Page | Talk Video

VI-Net: View-Invariant Quality of Human Movement Assessment

VI-Net: View-Invariant Quality of Human Movement Assessment. F Sardari, A Paiement, S Hannuna, M Mirmehdi. Sensors 20(18) 2020. HTML | PDF

Prediction of Thrombectomy Outcome

Prediction of Thrombectomy Functional Outcomes using Multimodal Data, Z Samak, P. Clatworthy, M. Mirmehdi MIUA 2020. Springer Link | arXive

Multi-modal Signals for Subject Re-Id in Multi-Person Environments

Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments, A Masullo, T Burghardt, D Damen, T Perrett, M Mirmehdi. 2nd Int. Workshop on Computer Vision for Physiological Measurement (CVPM) at IEEE International Conference of Computer Vision (ICCVW), 2019. CVF Version | Dataset: SPHERE-Calorie

What`s cooking and Why? Behaviour Recognition during Unscripted Cooking Tasks

Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring. K Yordanova, S Ludtke, S Whitehouse, F Kruger, A Paiement, M Mirmehdi, I Craddock, T Kirste. Sensors, 19(3), 646, 2019 Link to PDF What is cooking and Why? Behaviour Recognition during Unscripted Cooking Tasks for Health Monitoring. K Yordanova, S Whitehouse, A Paiement, M Mirmehdi, T Kirste, I Craddock. PerCom 2017 (Best work in progress paper award) Link to PDF | Dataset: SPHERE Unscripted kitchen activities

Great Ape Detection and Identification

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending, X. Yang, M. Mirmehdi, T. Burghardt, Computer Vision for Wildlife Conservation (CVWC) Workshop at IEEE International Conference of Computer Vision (ICCVW) , 2019. CVF Version | Arxiv PDF | Dataset PanAfrican2019 Video | Dataset: PanAfrican2019 Annotations and Code

Action Completion: Detection & Recognition

Weakly-Supervised Completion Moment Detection using Temporal Attention. F Heidarivincheh, M Mirmehdi, D Damen. ICCV Workshop on Human Behaviour Understanding, 2019 Arxiv PDF | CVF PDF Action Completion: A Temporal Model for Moment Detection. F Heidarivincheh, M Mirmehdi, D Damen. BMVC, 2018 Arxiv PDF | Video2018 | Dataset Beyond Action Recognition: Action Completion in RGB-D Data. F Heidarivincheh, M Mirmehdi, D Damen. BMVC, 2016 pdf | abstract | Video2016 | Dataset: RGBD-Action-Completion-2016

Calorie Expenditure Estimation for Health Monitoring

CaloriNet: From silhouettes to calorie estimation in private environments. A Masullo, T Burghardt, D Damen, S Hannuna, V Ponce-Lopez, M Mirmehdi, BMVC 2018 PDF | Code on Github Energy expenditure estimation using visual and inertial sensors. L Tao, T Burghardt, M Mirmehdi, D Damen, A. Cooper, S. Hannuna, M Camplani, A. Paiement, I Craddock. IET Computer Vision, 12(1), 2018. OA PDF @IET | SPHERE Webpage

Acquisition and registration of point clouds using two facing Kinects

3D Data Acquisition and Registration using Two Opposing Kinects. V Soleimani, M Mirmehdi, D Damen, S Hannuna, M Camplani, 4th International Conference on 3D Vision (3DV), 128-137, 2016 PDF@ieeexplore | Code

DS-KCF: Depth-Based Real-Time Single Object Tracker

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 1 | Video 2 | Code on Github

Online Quality Assessment for Human Motion

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 | Code

Handbook of Texture Analysis

Collection of chapters on many aspects of texture analysis (pre-deep learning era!) Hardcover: 424 pages - Publisher: Imperial College Press (Dec. 2008) - ISBN-13: 978-1848161153 Sample chapter: A Galaxy of Texture Features

Last Updated Feb. 2020