The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 35th BMVC will now be an in-person event from 25th—28th November 2024 in Glasgow, UK.
Authors are invited to submit high-quality papers in image processing, computer vision, machine learning and related areas for BMVC 2023. Submitted papers will be refereed on originality, presentation, empirical results, and evaluation quality. Accepted papers will be included in the conference proceedings published and DOI-indexed by BMVA. Past proceedings are online at the BMVA proceedings website.
Please note that BMVC is a single-track meeting with oral and poster presentations. The paper submission deadline will be on the 3rd of May 2024. Submitted papers should not exceed NINE pages (references are excluded), and appendices should be submitted via the supplementary information.
The submission portal will be available from the 1st of April, 2024.
Topics include, but are not limited to:
2D object recognition
3D computer vision
3D object recognition
Action and behaviour recognition
Adversarial learning, adversarial attack and defence methods
Biometrics, face, gesture, body pose
Computational photography
Datasets and evaluation
Document Image Analysis
Efficient training and inference methods for networks
Embodied vision: Active agents, simulation
Explainable AI, fairness, accountability, privacy, transparency and ethics in vision
Image and video retrieval
Image and video synthesis
Image classification
Low-level and physics-based vision
Machine learning architectures and formulations
Medical, biological and cell microscopy
Motion and tracking
Optimisation and learning methods
Pose estimation
Privacy and Ethics in Vision
Representation learning
Scene analysis and understanding
Transfer, low-shot, semi- and un- supervised learning
Video analysis and understanding
Vision + language, vision + other modalities
Vision applications and systems
Vision for robotics and autonomous vehicles
Vision for Sustainable Practices
“Brave new ideas”