Events

July 2024
Tue 30 Jul 2024   15:00 - 16:00	Seminar: Score Informed Note-level MIDI Velocity Estimation and Its Transcription into Symbolics  Centre for Multimodal AI You are invited to join us for a C4DM seminar on Tuesday 30th July from 3-4 pm, where Hyon Kim will be presenting his work on modeling the dynamic information of piano performance. Attend in person in ENG G2 or virtually via Zoom. Please see details below. Topic: Score Informed Note-level MIDI Velocity Estimation and Its Transcription into Symbolics Speaker: Hyon Kim Date/time: 30 July 2024, 3-4 pm Location: G2, Engineering Building Zoom link: https://qmul-ac-uk.zoom.us/j/9798452959 ...
August 2024
Fri 2 Aug 2024   09:00 - 17:00	Conference: Paul Nelson's 40th birthday seminar Centre for Combinatorics, Algebra and Number Theory We will have a one-day seminar series on 2nd August, 2024 to celebrate Paul Nelson's 40th birthday. Speakers: Soumendra Ganguly, Sumit Kumar, Kevin Kwan, Yannis Petridis, Ian Petrow, Nina Zubrilina.
September 2024
Tue 3 Sep 2024   15:00 - 16:00	Research seminar by Dr Liang Zheng: Pairs, Data Pairs! Centre for Multimodal AI Abstract: Training AI models with image pairs has been studied for a long time and proven very useful. In this talk, Dr. Zheng will first revisit popular practices of using data pairs in various computer vision tasks: from face recognition,...
Thu 5  - Fri 6 Sep 2024	Conference: BioMedEng 2024 Centre for Bioengineering The top bioengineering conference in the UK will return to Queen Mary in September 2024. There will be multiple parallel themes covering a broad range of bioengineering, medical engineering, biomaterials and related topics.
September 2025
Mon 8  - Wed 10 Sep 2025	Conference: 2025 AES International Conference on Artificial Intelligence and Machine Learning for Audio  Centre for Multimodal AI First AES International Conference on Artificial Intelligence and Machine Learning for Audio (AIMLA 2025), London, Sept. 8-10, 2025 The Audio Engineering Society invites audio researchers and practitioners, from academia and industry to participate in the first AES conference dedicated to artificial intelligence and machine learning, as it applies to audio. This 3 day event aims to bring the community together, educate, demonstrate and advance the state of the art. It will feature keynote...