要进BMVC2024投稿交流群的，公众号【轻松参会】后台回复“BMVC”进。其他CCF会议CCF期刊也都有，都可以回复进。
会议全称：British Machine Vision Conference
录用率：2019年28.34%（22年48%!）
CCF分级：人工智能C
摘要截稿时间：2024/4/26
全文截稿时间：2024/5/10
录用通知时间：2024/7/19
官网链接：
https://
bmvc2024.org/
征稿范围：
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
