ANDREW GILBERT
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Biography

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Department of Music and Media, Faculty of Arts and Social Sciences, University of Surrey
My Research ranges from research in intelligent creative arts such as fine grained style search and movie trailer genre understanding and 4D performance capture. Through to enabling machines to perceive and understand their surroundings with real-time accurate 3D human pose estimation for large-scale markerless motion capture for use both indoors and outdoors,  complex realistic activity recognition and early work on tracking people on vast surveillance networks.
I am interested in employing state of the art technologies using minimal specialist hardware by applying the latest modelling and learning techniques. I see this as a key enabler for future Virutal Production experiences, allowing users to create, develop and enjoy immersive technologies through all the devices they own.
 I have published over 50 articles in the leading international vision conferences and journals providing state of the art advancements in this field.
​Most recently I've worked on the InnovateUK projects REFRAME and TotalCapture, leading advances in video-rate actor performance capture for use in film and games production. I'm also a member of the British Machine Vision Association (BMVA) Executive committee and coordinate the national BMVA technical meetings. bringing together key expert from industry and academia to discuss and identify solutions to current problems in specialist areas of the computer vision and machine learning field.

News

  • Accepted Paper to ICCV'21 - ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity
  • Accepted paper to ICIP'21 - Rethinking Genre Classification with Fine Grained semantic Clustering,​
  • ​Accepted Journal to Computer and Graphics - Neural architecture search for deep image prior

Recent Research

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ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity  Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John Collomosse. In Proc ICCV'21, 2021



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Neural architecture search for deep image prior Kary Ho, Andrew Gilbert, Halin Jin, John Collomosse, In Proc
Computers & Graphics 2021
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Rethinking Genre Classification with Fine Grained semantic Clustering, Edward Fish, Jon Weinbren, Andrew Gilbert, In Proc International Conference on Image Processing (ICIP'21), 2021
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Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras, Andrew Gilbert, Matthew Trumble, Adrian Hilton, John Collomosse, In British Machine Vision Conference (BMVC'20), 2020
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​Fusing visual and inertial sensors with semantics for 3d human pose estimation A Gilbert, M Trumble, C Malleson, A Hilton, J Collomosse International Journal of Computer Vision 127 (4), 381-397, 2019
Older research paper can be found on my Google Scholar Paper

PhD Students

I'm always looking for good PhD candidates but normally when I have funding available it is for UK students. This is sometimes due to restrictions on the funding but more often than not more to do with the difference between home and overseas fees. However, if you are an exceptional candidate, then drop me an email. I am happy to work with high calibre candidates to obtain scholarships either internally or from external funders such as the China Scholarship Council or the Commonwealth Scholarship Council.

Current

  • Soon Yau - Text to Storyboard generation - 2021
  • Kar Balan - Decentralized virtual content Understanding for Blockchain- 2021
  • Dan Ruta - Exploring and understanding fine grained style - 2019
  • Ed Fish - Film Trailer Genre Understanding and exploration - 2019
  • Violeta Menendez Gonzalez - Novel viewpoint and stereo inpainting - 2019
  • Tony Orme - Temporal Prediction of IP packets in network switches - 2019
  • ​Rob Penhaligon  - 2019

Previous 

  • Kary Ho 2019
  • Mat Trumble - 2015
  • Phil Krejov - 2012
  • Segun Oshin - 2008

    Contact Details

    +44 (0)1483 684713
    a.gilbert@surrey.ac.uk
    05BC03 
    University of Surrey
    Guildford 
    ​GU2 7XH
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