Section: Partnerships and Cooperations

International Initiatives

Inria International Partners

• UC Berkeley: This collaboration between Bin Yu, Jack Gallant, Yuval Benjamini, Adam Bloniarz (UC Berkeley), Ben Willmore (Oxford University) and Julien Mairal (Inria LEAR) aims to discover the functionalities of areas of the visual cortex. We have introduced an image representation for area V4, adapting tools from computer vision to neuroscience data. The collaboration started when Julien Mairal was a post-doctoral researcher at UC Berkeley and is still ongoing. Yuansi Chen, from UC Berkeley visited LEAR in the summer 2015 to work on this project.

• University of Edinburgh: C. Schmid collaborates with V. Ferrari, associate professor at university of Edinburgh. Vicky Kalogeiton started a co-supervised PhD in September 2013; she is bi-localized between Uni. Edinburgh and Inria. Her subject is the automatic learning of object representations in videos. J. Mairal also started a collaboration with Peter Richtarik, professor at university of Edinburgh and Dominik Csiba (PhD student), on the topic of local low-rank matrix estimation.

• MPI Tübingen: C. Schmid collaborates with M. Black, a research director at MPI since 2013. She spent one month at MPI in January 2015. End of 2015 she was award a Humbolt research award funding a long-term research project with colleagues at MPI.

• Technion: J. Mairal started a collaboration with Yonina Eldar (Technion) and Andreas Tillmann (Darmstadt university) to develop dictionary learning techniques for phase retrieval. Andreas Tillmann visited the LEAR team for a week in May 2015. Their collaboration resulted in a paper accepted to the ICASSP'16 conference.

Participation In other International Programs

• France-Berkeley fund: The LEAR team was awarded in 2014 a grant from the France-Berkeley fund for a project between Julien Mairal and Pr. Bin Yu (statistics department, UC Berkeley) on “Invariant image representations and high dimensional sparse estimation for neurosciences”. The award amounts to 10,000 USD for a period of one year, from November 2014 to April 2016. The funds are meant to support scientific and scholarly exchanges and collaboration between the two teams.