M
Majid Mirmehdi
Researcher at University of Bristol
Publications - 247
Citations - 6104
Majid Mirmehdi is an academic researcher from University of Bristol. The author has contributed to research in topics: Image segmentation & Active contour model. The author has an hindex of 38, co-authored 237 publications receiving 5523 citations. Previous affiliations of Majid Mirmehdi include City University London & Vision Institute.
Papers
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Proceedings ArticleDOI
Temporal-Relational CrossTransformers for Few-Shot Action Recognition
TL;DR: Temporal-Relational CrossTransformers (TRX) as mentioned in this paper constructs class prototypes using the CrossTransformer attention mechanism to observe relevant sub-sequences of all support videos, rather than using class averages or single best matches.
Book ChapterDOI
SPHERE: A sensor platform for healthcare in a residential environment
Pete Woznowski,Alison Burrows,Tom Diethe,Xenofon Fafoutis,Jake Hall,Sion Hannuna,Massimo Camplani,Niall Twomey,Michal Kozlowski,Bo Tan,Ni Zhu,Atis Elsts,Antonis Vafeas,Adeline Paiement,Lili Tao,Majid Mirmehdi,Tilo Burghardt,Dima Damen,Peter A. Flach,Robert J. Piechocki,Ian J Craddock,George Oikonomou +21 more
TL;DR: The home possesses unique characteristics that must be considered in order to develop effective smart home systems that are adopted in the real world and broadly underpinned by shared goals of sustainable development, inclusive user engagement and improved service delivery.
Journal ArticleDOI
What Happens Next? The Predictability of Natural Behaviour Viewed through CCTV Cameras:
Tom Troscianko,Alison Holmes,Jennifer A. Stillman,Majid Mirmehdi,Daniel B. Wright,Anna Wilson +5 more
TL;DR: Data from fifty naïve and fifty professional observers suggest that there are key types of behaviour (particularly gestures and body position) that allow predictions to be made and the performance of naïve observers is comparable to that of experts.
Journal ArticleDOI
Computer vision elastography: speckle adaptive motion estimation for elastography using ultrasound sequences
TL;DR: An image based speckle tracking methodology, for determining temporal two-dimensional axial and lateral displacement and strain fields from ultrasound video streams, which has the potential to improve clinical knowledge of tendon pathology from carpel tunnel syndrome, inflammation from implants, sport injuries, and many others.
Journal ArticleDOI
Rectifying perspective views of text in 3D scenes using vanishing points
Paul Clark,Majid Mirmehdi +1 more
TL;DR: A novel extension to the commonly used 2D projection profiles in document recognition to locate the horizontal vanishing point of the text plane is introduced, useful for ‘point-and-click’ scanning or when generally seeking regions of text in a scene.