One Day Meeting: BMVA Symposium on Continual AI: Learning to Adapt in a Continuous World.
Wednesday 24 June 2026
Chairs: Paris Giampouras (University of Warwick), Haoran Ni (University of Warwick), Julio Hurtado (University of Warwick)
Queries? contact the Meeting's Organiser Andrew Gilbert here
Invited Speakers
- Georgina Cosma is Professor of AI at the Department of Computer Science, Loughborough University
- Jun Wang is a Professor of Computer Science at the University College London
- Amos Storkey is a Professor of Machine Learning and Artificial Intelligence at the University of Edinburgh
Overview
We invite the community to attend the symposium and present their work that challenges the idea of static models by focusing on dynamic environments. Presentations may include both ongoing and published research that demonstrates model adaptation through modifications or adjustments to original weights. This can involve learning new concepts or tasks, effectively reusing previously learned weights, forgetting sensitive information or biases, and merging different sources of knowledge. The meeting aims to foster interdisciplinary dialogue and collaboration to support the responsible translation of AI technologies into real-world scenarios.
Schedule
| Start | End | Title | ||
|---|---|---|---|---|
| 09:45 | 10:00 | Registration & Coffee | ||
| 10:00 | 10:45 | Invited Keynote Speaker – Jun Wang (University College London) | ||
| 10:45 | 11:30 | Accepted Talks Pt. 1 | ||
| 11:30 | 12:00 | Coffee Break | ||
| 12:00 | 13:00 | Accepted Talks Pt. 2 | ||
| 13:00 | 14:00 | Lunch | ||
| 14:00 | 14:45 | Invited Keynote Speaker – Georgina Cosma (Loughborough University) | ||
| 14:45 | 15.15 | Coffee Break | ||
| 15:15 | 16:00 | Invited Keynote Speaker – Amos Storkey (University of Edinburgh) | ||
| 16:00 | 16:45 | Accepted Talks Pt. 3 | ||
| 16:45 | 17:00 | Closing Remarks |
Accepted Talks
12 min each + 3 mins questions
Accepted Talks Part 1:
Luca Manneschi - The University of Sheffield - From Signal Drift to Meta-Learning: Continual Adaptation in Neuromuscular Human–Machine Interfaces
Xin Feng - University of Edinburgh - Restoring without Forgetting: Filter-level Continual Adaptation via Integrated Gradient Attribution
Adrian Bors - University of York - Continual learning by means of generative A
Accepted Talks Part 2:
Can Peng - University of Oxford - Multi-Label Federated Learning under Label-Distribution Skew
Mamatha Thota - University of Lincoln - Stable Drift: A Patient-Aware Replay Method for Continual Learning in Medical Imaging
Abhiroop Chatterjee - Jadavpur University, Rochester Institute of Technology - CASPA: Graph-Structured Concept Anchors for Modality-Agnostic Adaptation in Vision–Language Models
Anoushka Harit - University of Cambridge - EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging
Accepted Talks Part 3:
Vishal Thengane- University of Surrey - COPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
Zhaohan Zhang - Queen Mary University of London - Get confused cautiously: Textual sequence memorization erasure with selective entropy maximization
Anjie Le - University of Oxford - POUR: A Provably Optimal Method for Unlearning Representation via Neural Collapse
Important: This is an in-person event, with no virtual attendance option. We kindly ask all presenters to join us at the British Computer Society on the day.
Meeting Location
The meeting will take place at:
British Computer Society (BCS), 25 Copthall Avenue, London EC2R 7BP
Registration
We keep the cost of attending these events as low as possible to ensure no barriers from the whole computer vision community attending. The registration costs are as follows
- All Attendees: £30 Including lunch and refreshments for the day