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Section: Partnerships and Cooperations

International Initiatives

Inria International Partners

Declared Inria International Partners
  • Title: “MAIS”: Mathematical Analysis of Image Synthesis

  • International Partner (Institution - Laboratory - Researcher):

    • University of Montreal (Canada) - Département d'Informatique et Recherche Opérationnelle - Derek Nowrouzezahrai

  • Duration: 2015 - 2019

  • Start year: 2015

  • See also: http://diro.umontreal.ca/accueil/

Informal International Partners

We have frequent exchanges and on-going collaborations with Cyril Crassin from nVIDIA-Research, and Eric Heitz, Laurent Belcour and Jonathan Dupuy from Unity-Research.

Maverick is part of the GPU Research Center labeled by nVIDIA at Inria Grenoble. Team contact: Fabrice NEYRET.

Participation in Other International Programs

Indo-French Center of Applied Mathematics
  • Topology-driven Visualization of Scientific Data

  • Title: Topology-driven Visualization of Scientific Data

  • International Partner (Institution - Laboratory - Researcher):

    • IISc Bangalore (India) - Deptartment of Science and Automation - Vijay Natarajan

  • Duration: Sept 2016 - Sept 2017

  • One of the greatest scientific challenges of the 21st century is how to master, organize, and extract useful knowledge from the overwhelming flow of information made available by today's data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. Topological analysis has recently emerged as a powerful class of methods for visualizing data. From the input data, these methods derive combinatorial structures capturing the essential features of the data. The goal of this project is to design new topological structures, study their properties, and develop efficient algorithms to compute them. In order to solve this challenge, we will combine our expertise in Topology for the Indian partner and in Geometric Modeling for the French partner. We plan to develop new geometric models that accurately and intuitively depict the topological combinatorial structures.