VISion Understanding and Machine intelligence: 5th edition

visum 2017 is the fifth VISion Understanding and Machine intelligence (visum) Summer School that targets to gather at Universidade do Porto, Portugal, Ph.D. candidates, Post-Doctoral scholars and researchers from academia and industry with research interests in computer vision and machine intelligence.

Considering the existing gap between the most fundamental concepts of computer vision and their application in real world scenarios, the realisation of visum school seeks to bridge these two key domains. By creating an expert multicultural environment, visum school aims to foster junior researchers’ awareness of computer vision topics, as well as to enhance all attendees’ knowledge regarding the state of the art, provided by leading international experts on the field. Being an area of great potential in industrial applications with a strong increase in the number of researchers in these last years, visum school will be an incredible opportunity to be on the edge of knowledge.

visum will comprise three main tracks: fundamental, industrial and application topics, each one with extensive practical `hands-on’ sessions. A poster session will be organized especially dedicated, but not exclusive, to Ph.D. candidates. With this, researchers can discuss their current research works, possibly leading to significant breakthroughs in the development of their theses. In the industrial track, national and international renowned institutions will present their case studies and knowingness to the attendees. visum will have a track dedicated to applications with the aim to bridge the gap between the fundamental and industrial topics, each year with a different subject.

:: Target Audience ::

  • MSc. and Ph.D. candidates;
  • Post-Doctoral scholars and researchers;
  • Academic and industrial professionals with (research) interests in computer vision;
  • And, everyone who wants to have knowledge of topics avant-garde.

To apply for visum 2017 please go to the application page.