IMPORTANT DATES
2021
Call for Papers Deadlines
» Journal-first (JIST & JPI)
5 April
» Conference
30 April
Acceptance Notification
» Conference 30 June 
» Journal-first (JIST & JPI)
7 July 
Preliminary Program Released & Registration Opens mid-July
Final Manuscripts Due
» Journal-first by 12 July
» Conference
23 Aug
Early Registration Ends
TBD
Conference Begins
20 Sept
   

Sponsors/Partners


Conference Committee

General Chair

Sophie Triantaphillidou, University of Westminster (UK)

Program Committee

Ali Amirshahi, NTNU (Norway)
Simone Bianco, University Milano-Biccoca (Italy)
Sebastian Bosse, Fraunhofer Heinrich Hertz Institute HHI (Germany)
Alexander Braun, University of Applied Sciences (Germany)
Peter Burns, Burns Digital Imaging (US)
Christy Fernandez-Cull, Lyft / MIT (US)
Valentina Donzella, University of Warwick (UK)
Chaker Larabi, University of Poitier (France)
Yi-Tun Lin, University of East Anglia (UK)
Marius Pedersen, NTNU (Norway)
Alexandra Psarrou, University of Westminster (UK)
Raimondo Schettini, University Milano-Biccoca (Italy)
Maria Vanrell, Universitat Autònoma de Barcelona (Spain)
Barbara Villarini, University of Westminster (UK)
Stephen Westland, Leeds Universty (UK)

Steering Committee
Michael Brown, York University (Canada) 
Graham Finlayson, University of East Anglia (UK) 
Susan Farnand, Rochester Institute of Technology (US)
Rafal Mantiuk, University of Cambridge (UK) 
Javier Vázquez Corral, Universitat Pompeu Fabra (Spain) 

Organization Lead

Suzanne Grinnan, IS&T (US)

Join us for LIM2021: 20-21 September

About the London Imaging Meeting

The London Imaging Meeting (LIM) is a yearly topic-based conference focused on the future of imaging science. The theme for 2021 is “Imaging for Deep Learning”. Proposals for the 2022 theme are being accepted (see below).

The 2021 conference is anticipated to take place over 3 days, with the technical program held 20-21 September, plus an additional day for short courses. Details on courses will be released later.

On this page

LIM2021: CALL FOR PAPERS

The theme of LIM 2021 is IMAGING FOR DEEP LEARNING. We are interested in two aspects of deep-learning and imaging science:

  • Imaging science to improve deep learning performance
  • Deep learning methods intended to improve imaging systems performance
We seek to attract new research in areas relating to the ways imaging system design, processes, their performance, and outputs affect deep neural network (DNN) performance.
We are also interested in deep learning methods to improve imaging: how deep neural networks are used to optimize imaging system design, predict performance, and output image quality.

The conference is designed to promote interaction between the imaging science and deep learning communities. It includes research, keynote, and focus presentations.

LIM 2021 PROGRAM TOPICS

Topics of interest include, but are not limited to:

  • Impact of imaging system design on DNN performance
  • Imaging system optimization for improved DNN performance
  • Imaging system modelling for data augmentation for DNN training
  • Metrification of imaging performance for DNN input
  • DNNs for metrification of imaging systems
  • DNNs for optimization of imaging performance
  • DNNs for image quality prediction
  • DNN components for imaging systems
  • Domain adaptation of DNNs for imaging systems

In their papers, we encourage authors to speculate on how their research in imaging science will impact the field of deep learning in the future and vice versa. We welcome participation of scientists and engineers from academia and industry, and strongly encourage contributions from graduate students. LEARN MORE

LIM 2021 KEYNOTE PRESENTATIONS
We are pleased to announce our two distinguished LIM 2021 keynote speakers.


Soft-Prototyping Camera Designs for Autonomous Driving
(working title)
Dr. Joyce E. Farrell, executive director
Stanford University Center for Image Systems Engineering (SCIEN)




Camera Metrics for Autonomous Vision
(working title)
Dr. Robin Jenkin, principal image quality engineer
NVIDIA



2021 Venue

The current plan is for an appropriate number of socially-distanced attendees to convene at the Institute of Physics headquarters (37 Caledonian Rd, Islington) in London, with others joining online. Should this not be possible, the entire event will take place online. COVID-19 related restrictions will dictate the final format of the meeting. Updates will be posted periodically.

LIM 2022

The LIM Steering Committee seeks inquiries from colleagues/groups interested in proposing a theme and/or chairmanship for the 2022 London Imaging Meeting. Inquiries/proposals may be directed to london@imaging.org.

Funding for the conference keynotes and proceedings is supported by EPSRC.

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