Skip to content

ViCOROB members participate in the 19th BMVA Computer Vision Summer School 2014

BMWA2014
July 11, 2014

This year 19th BMVA Computer Vision Summer School 2014 was held in Swansea, UK from 30th June till 4th July 2014. The delegates attending the summer school were from universities all across Europe. All the delegates were PhD students in their first or second year. VICOROB research group was represented by Ferran and I Habib, from 3D perception Lab.

 

Swansea University, located along the coast of Swansea bay, was the host. The event was aptly managed by them. We were exposed to the state of art in Computer Vision by talks delivered by some of the leading researchers working in labs across UK, i.e. UCL, Imperial College, Microsoft, Image Metrics etc. The topics covered ranged from Image formation, Low level vision, Feature extraction, Tracking, Segmentation to Medical Imaging, Machine Learning, Cognitive Vision and Performance evaluation. Besides lectures, two intriguing lab sessions were also held on ‘Efficient Programming’ and ‘Decision Forests’. Every afternoon, after lecture sessions, all the participants went for dinner in restaurants in Swansea, while having a walking tour of the city as well. It was a work and fun packed week, definitely recommended for future PhD students.

 

The attendance of ViCOROB members to the summer school was financed by ANDREA project (reference: CTM2011-29691-C02-02) of the Spanish Ministerio de Economía y Competitividad.

 

Picture: BMVA Website

Share it!

More News

erl4
September 27, 2017

Successful participation of our team at European Robotics League competition 2017

Underwater Robotics

lucaza-interview
September 6, 2018

An interview with Luca Zappella

News, Vicorob's people

morph project
September 21, 2015

FP7 European Project MORPH: Demonstration of Cutting Edge Co-operative Underwater Robotics System in the Azores

News, Underwater Robotics, Underwater Vision

mostafa-salem
February 13, 2020

DOCTORAL THESIS: Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images

News, PhD defenses