• Slide 1
  • Slide 2
  • slide 3
  • slide 4

Welcome to The Centre for Multimodal AI

The Centre for Multimodal AI consolidates AI research in the School of Electronic Engineering and Computer Science. It builds on the expertise of world-leading academics in the school with emphasis on the development of Machine Learning algorithms, systems and applications for the Analysis and Synthesis of Multimodal Information such as Audio, Images, Videos, and Text, and on the development of AI methodologies in the domains of Games and Decision Support Systems.

The objective of the centre is to contribute to the development of AI methods and systems that will shape the future of our economy and society, striving not only for scientific excellence but also at setting and addressing research challenges for the benefit of our society. This includes challenges around developing AI methods and systems that are Trustworthy, Ethical and Responsible, but also efficient and capable of addressing some of the major challenges in the domains of Health, Education and Digital Economy.

The centre comprises more than 50 academics and 150 researchers, hosted across 6 research entities, namely the Centre for Digital Music, the Computer Vision group, the Multimedia and Vision group, the Computational Linguistics lab, the Game AI group, and the Machine Intelligence and Decision Systems group. Several members of the Centre are Fellows of The Alan Turing Institute and/or of the Digital Environment Research Institute (DERI).

Events

News

Recent Publications

  • DEFN: Dual-Encoder Fourier Group Harmonics Network for three-dimensional indistinct-boundary object segmentation
    Jiang X, Guo Y, Huang J, Wu Y, Luo M, Xu Z, Zhang Q, Huang X, He H, Jiang S, Ye J and Xiao M
    Expert Systems With Applications, Elsevier vol. 281 
    01-07-2025
  • Position Paper: Towards a Unified Representation Evaluation Framework Beyond Downstream Tasks
    Plachouras C, Guinot J, Fazekas G, Quinton E, Benetos E and Pauwels J
    International Joint Conference on Neural Networks Rome, Italy 30 Jun 2025 - 5 Jul 2025
    30-06-2025
  • Temporal Score Analysis for Understanding and Correcting Diffusion Artifacts
    Gong S
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    11-06-2025

View more publications »

Recent Grants

  • Artificial Neuroscience: metrology and engineering for Deep Learning using Linear Algebra
    Mark Sandler and Boris Khoruzhenko
    £238,701 Engineering and Physical Sciences Research Council
    01-06-2025 - 30-11-2026
  • (QM costs) ARCNET
    Qianni Zhang
    £15,496 Barts and the London Charity
    01-03-2025 - 28-02-2026
  • International Collaborative Research (QMUL Korea University)
    Changjae Oh
    £22,240 Korea University
    01-03-2025 - 31-12-2027

View more grants »