[Call for Participation] 27th BMVA Computer Vision Summer School
Stuart James
The 27th BMVA Computer Vision Summer School
15th - 19th July 2024, Durham University, UK
twitter/X: @BmvaCvss
Contact: bmva...@durham.ac.uk
The registration for the 27th BMVA Computer Vision Summer School is open!
Important Dates:
Early bird registration until: 21st Jun 2024
Late registration until: 30th Jun 2024
Summer school: 15th – 19th July 2024
*Accommodation is included on the night of the 14thJuly for convenience. Onsite accommodation is only guaranteed for early registrations.
British Machine Vision Association (BMVA) runs an annual Computer Vision Summer School aimed at PhD students in their first and second year, though it will be beneficial to other researchers at an early stage in their careers. Despite the title, students from non-UK universities are welcome to attend, as well as students from UK universities. Places are limited to ensure good interaction in lab classes.
The 2024 Summer School will take place at the Durham University, UK, between 15 July and 19 July. It will consist of an intensive week of lectures and lab sessions covering a wide range of topics in Computer Vision. Lecturers are researchers in field from some of the most active research groups in the UK and abroad.
In addition to the academic content, the Summer School provides a networking opportunity for students to interact with their peers, and to make contacts among those who will be the active researchers of their own generation.
Confirmed BMVA Summer School Speakers:
Xianghua Xie – Swansea – Image Segmentation
Michael Wray – Bristol - Egocentric Vision - Making Sense of the First-Person Perspective
Tim Cootes – Manchester - Statistical Models of Shape and Appearance
Oisin Mac Aodha – Edinburgh - Self-supervised Learning
Krystian Mikolajczyk - Imperial College London - Stereo Vision & Feature Matching
Neill Campbell – Bath - Uncertainty and Evaluation in Vision
Armin Mustafa – Surrey - 4D Video Scene Understanding in the Wild
Ulrik Beierholm – Durham - Human Vision
Paul Henderson – Glasgow - Structured Generative models for Vision
Oya Celiktutan - King's College London - Multimodal Behaviour Understanding and Generation for Human-Robot Interaction
Victor Sanchez – Warwick – Contrastive Language-Image Pretraining (CLIP) for Video Analytics
Andrew Gilbert - Surrey - Video Understanding
Daniele Raví – Hertfordshire - Revolutionizing Medical Imaging Using Generative Models
Oscar Mendez - Surrey - Deep Learning for Computer Vision
Organisers:
Dr Amir Atapour-Abarghouei, Dr Stuart James, Dr Jingjing Deng, Dr Ulrik Beierholm, Prof Toby Breckon (Durham University)