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BMVC 2021 : British Machine Vision Conference

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Conference Series : British Machine Vision Conference
 
Link: https://www.bmvc2021.com/
 
When Nov 22, 2021 - Nov 25, 2021
Where virtual
Submission Deadline Jun 25, 2021
Notification Due Oct 15, 2021
Final Version Due Oct 22, 2021
Categories    computer vision
 

Call For Papers

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 32nd BMVC will now be a virtual event held online from 22nd—25th November 2021. Authors are invited to submit full-length high-quality papers in image processing, computer vision, machine learning and related areas for BMVC 2021. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Accepted papers will be included in the conference proceedings published and DOI-indexed by BMVA. Past proceedings can be found online here. Prospective authors can see the 2020 edition as an example.

Selected best papers will be invited to a special issue of the International Journal of Computer Vision (IJCV).

Please note that BMVC is a single-track meeting with oral and poster presentations and will include four keynote presentations. The abstract deadline is Friday 18th June 2021 and the paper submission deadline is Friday 25th June 2021 (both 23:59, Greenwich Mean Time (GMT)). Submission instructions will be available on the BMVC 2021 website.

Topics include, but are not limited to:

3D computer vision
3D object recognition
Action and behavior recognition
Adversarial learning, adversarial attack and defense methods
Biometrics, face, gesture, body pose
Computational photography
Datasets and evaluation
Efficient training and inference methods for networks
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
Optimization and learning methods
Pose estimation
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
“Brave new ideas”

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