Tricky images? Seek advice.
Imaging technology is progressing rapidly; in particular, it is becoming increasingly challenging for non-experts to stay up-to-date with the latest developments in image analysis.
To provide EPFL research staff with support in image analysis, the [email protected] initiative is launching a series of “Image Analysis Breakfasts”. These meetings are a place where researchers can share image-analysis problems, get feedback from experts, and exchange ideas, all this around coffees and croissants
The “Image Analysis Breakfasts” are data-centered meetings that give EPFL research community a precious chance to discuss all kinds of imaging questions.
Participants shortly present their image-analysis problems in front of image-analysis experts, who try to provide advices, tips, pointers to relevant references, or links to similar solved problems. The goal is not to solve the participants’ problems “on the spot”, but to give them a (hopefully) useful feedback on the best way to tackle their problem, and the amount of effort required to do so.
During the 2-hours session, participants present their images and analysis problems in front of experts. Please come with your personal laptop and software if you are using non-generic image formats. During the discussions, we collect thoughts, ideas, references, or links in a Google Docs accessible by the participant. The Google Docs stays open up to the next breakfast.
Arianne Bercowsky, Olivier Burri, Nicolas Chiaruttini, Pol Del Aguila Pla, Laurène Donati, Alessandra Griffa, Romain Gueit, Sepand Kashani, Mateusz Kozinski, Daniel Sage, Arne Seitz, Matthieu Simeoni, Jean-Philippe Thiran, Martin Weigert, Jaejun Yoo
Please write us if you would like to join us!
Prepare a concise presentation describing your problem, please exclude domain-specific jargon.
Select typical examples to explain what information you are aiming to obtain from your data. Make sure to have enough variability.
Shared link to your slides and to your data (typically on EPFL Google Drive).
Frequently Asked Questions (FAQ)