Conference Information
BMVC 2020: British Machine Vision Conference
https://britishmachinevisionassociation.github.io/bmvc
Submission Date:
2020-04-23
Notification Date:
2020-07-27
Conference Date:
2020-09-07
Location:
Manchester, UK
Years:
31
CCF: c   CORE: b   QUALIS: a2   Viewed: 34425   Tracked: 108   Attend: 17

Conference Location
Call For Papers
The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 31st BMVC will be held in Manchester, 7th—11th Sept 2020.

Authors are invited to submit full-length high-quality papers in image processing, machine vision, and related areas for 2020 British Machine Vision Conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.

All papers will be reviewed doubly blind, normally by three members of our international programme committee. Please note that BMVC is a single track meeting with oral and poster presentations and will include three keynote presentations and two tutorials.

Please Note: In keeping with conferences in the field (e.g. NeurIPS) and to cope with the increasing number of submissions, we ask that all authors be prepared to review papers and make use of a compulsory abstract submission deadline a week before the paper submission deadline. The CMT submission site will ask authors to acknowledge this commitment and failure to engage with the reviewing process might be grounds for rejection.

Topics include, but are not limited to:

    Statistics and machine learning for vision
    Stereo, calibration, geometric modelling and processing
    Face and gesture recognition
    Early and biologically inspired vision
    Motion, flow and tracking
    Segmentation and grouping
    Model-based vision
    Image processing techniques and methods
    Texture, shape and colour
    Video analysis
    Document processing and recognition
    Vision for quality assurance, medical diagnosis, etc.
    Vision for visualisation, interaction, and graphics
    Object detection and recognition
    Shape-from-X
    Video analysis for action and event recognition
    Illumination and reflectance
    Deep learning for vision
    3D computer vision
    RGBD analysis
Last updated by Dou Sun in 2020-05-05
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
201763518829.6%
201636514439.5%
201555318633.6%
201443113130.4%
201343913129.8%
201241413231.9%
201141913231.5%
201034111634%
200932512538.5%
200825512348.2%
200728711439.7%
200642712930.2%
20052509538%
20042759936%
20031738348%
20021858344.9%
20011157262.6%
19991056461%
19981739253.2%
19971137263.7%
19951006969%
19941747945.4%
19931256652.8%
19921246149.2%
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cMachine TranslationSpringer0922-6567
cMedical Image Analysis8.880Elsevier1361-8415
International Journal of Modern Physics CWorld Scientific0129-1831
MachinesMDPI2075-1702
Journal of Mathematical Imaging and Vision1.767Springer0924-9907
bMachine Learning1.587Springer0885-6125
Mechanism and Machine Theory3.535Elsevier0094-114X
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