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Journée Visu 2026

The annual day of the Visualization working group for geometric and graphic computer research groups, virtual reality and visualization (GdR IG-RV) and human machine interaction (GdR IHM) aims to bring together the academic and industrial actors of the French community in visualization. This day allows us to discuss the current and future problems and challenges of visualization. It covers, among other things, scientific visualization (SciVis), information visualization (InfoVis) and geographical visualization (GeoVis).

This year, the Visu day will take place on June 4, 2026, at Géodata Paris, Gustave Eiffel University, Champs-sur-Marne.

Venue

Journée Visu 2026 will take place at Géodata Paris on the Marne-la-Vallée campus, at 6-8 avenue Blaise Pascal, Cité Descartes, 77420 Champs-sur-Marne. Local hosting is handled by the Geovis team at LASTIG.

Getting there

  • Venue: Géodata Paris, 6-8 avenue Blaise Pascal, Cité Descartes, Champs-sur-Marne.
  • Rail access: RER A to Noisy-Champs, exit 3 - Cité Descartes.
  • Walking access: about 5 minutes from the station.
  • Bus access: lines 212, 213, and 312, stop C.R.O.U.S.
  • Car access: A4 motorway, exit 10 toward Cité Descartes / Noisy-le-Grand-Richardets.

The exact room inside the Géodata building will be announced later.

Useful links: plan d'accès Géodata Paris, accès campus Cité Descartes, Google Maps

Program

  • TBD
  • Keynote: Georgia Panagiotidou

Important Dates

  • March 16: Opening of the site and registration
  • May 4: Article submission deadline
  • May 22: Notification of acceptance
  • June 4 2025: Journée Visu at Marne-la-Vallée (Géodata Paris)

Registration

The Visu 2026 day is free and open to all within the limits of reception capacities. However, registrations are mandatory, and are made via the "My registration" section.

Please register as soon as possible to facilitate the ordering of meals. The closing date for registration is set at May 24 2026.

Call for Contributions

Submissions on summary (up to two pages), in French or English, which present original works are allowed. It can be:

  • Finalized or ongoing research, ANR projects, European or other, industrial feedback, etc. If a pre-recorded video exists, it can be broadcast during the day
  • Works that have been submitted (submitted to any event such as conference, workshop, meeting, in all usual forms: paper, short paper, poster, abstract...) but not accepted, and which will therefore be presented in order to improve them for a new submission or simply to disseminate the work
  • Work not yet submitted, and which will be presented to get a first feedback from the community.

The objective is not to be too selective, but on the contrary to allow everyone to present their work.

Terms of submission

Please send us your summary of up to 2 pages using the "My deposits" section, before May 4 2026 at the latest.

LaTeX Template for Submission: LaTeX

During the Visu day, you will be able to present your submission in French or English in the form of an oral presentation, poster or demonstration. When submitting, please indicate which form(s) of presentation you choose. We may suggest changes depending on time and space constraints. Submissions can be written in French or English and are not anonymous. A space will be made available for posters and demonstrations.

Topics

The topics covered by the call for papers are diverse and will include any innovative topic related to scientific visualization or information visualization, such as:

• scientific visualization • information visualization • big data visualization and high-performance visualization • visualization for personalized medicine • visualization and artificial intelligence • visualization design • visualization and storytelling • in-situ visualization • analytical visualization • visual perception and visualization • interactions in the context of visual analysis • visualization evaluation • simulation/visualization coupling visualization • visualization of relational data (e.g., social networks) • visual data mining and data warehouse navigation techniques • client-server architectures for remote data visualization • collaborative visualization (co-located or remote, synchronous or asynchronous) • visualization on new devices (e.g., video walls, touchscreen tablets, smartwatches) and with unconventional interaction devices (e.g., 3D sensors) • topological methods for visualization • visualization of geolocated data • visualization of biological and molecular data • visualization of uncertainty data.

Previous Journées Visu

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