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Biography

Centre for Creative Arts and Technologies
Department of Music and Media, Faculty of Arts and Social Sciences, University of Surrey

I am an  Associate Professor at the University of Surrey. Before joining becoming a Lecturer, I obtained my PhD from CVSSP with Richard Bowden. My research interests include Computer Vision, video understanding and Generative Models.

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 have published over 50 articles in the leading international vision conferences and journals providing state of the art advancements in this field.

 I'm 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.

Recent Research

NeAT: Neural Artistic Tracing for Beautiful Style Transfer​ Dan Ruta, Andrew Gilbert, John Collomosse. Eli Shechtman, Nicholas Kolkin, ArXiv 2304.05139, 2023

DECORAIT - DECentralized Opt-in/out Registry for AI Training, Kar Balan, Alex Black, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse. In Proc CVMP'23

UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose Transfer,  Soon Cheong, Armin Mustafa, Andrew Gilbert, In Proc ICCVWS'23 2nd computer vision for Metaverse workshop,2023

EKILA: Synthetic Media Provenance and Attribution for Generative Art, Kar Balan, Pranav Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse. In Proc CVPR'23WS 2023

StyleBabel: Artistic Style Tagging and Captioning​, Dan Ruta,  Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, and John Collomosse,  In Proc ECCV'22 2022

HyperNST: Hyper-Networks for Neural Style Transfer Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, and John Collomosse. In Proc ECCV'22W VISART, 2022

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

Neural architecture search for deep image prior Kary Ho, Andrew Gilbert, Halin Jin, John Collomosse, In Proc
Computers & Graphics 2021

Rethinking Genre Classification with Fine Grained semantic Clustering, Edward Fish, Jon Weinbren, Andrew Gilbert, In Proc International Conference on Image Processing (ICIP'21), 2021

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

​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

• Adrienne Deganutti - Long Term Video Captioning 2023
• Xu Dong - Group Activity recognition in Video 2023
• Mona Ahmadian - Self Supervised Audio Visual Video Understanding 2022
• Soon Yau - Text to Storyboard generation - 2021
• Kar Balan - Decentralized virtual content Understanding for Blockchain- 2021
• Katharina Botel-Azzinnaro - Real stories through faked media: Non-fiction in AI-generated environments 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

Alumni

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