Website link: https://cvprinparis.github.io/CVPR2026InParis/
CVPR@Paris 2026 is 1-day event that will take place on June 1st, 2026 in Paris. This event provides a local meeting prior to the CVPR conference. This is the second edition of the event after the first one in 2025 and aims at encouraging sustainability and inclusivity in Deep Learning and Computer vision research. All students and researchers are welcome to attend.
Authors of accepted papers at CVPR 2026, CVPR workshops, and recent international conference (ICLR 2026) will be given the opportunity to present their work, through an oral presentation and/or a poster session. We may unfortunately not be able to accommodate all papers.
The event is free but registration is mandatory. Registrations are now open on OpenReview here. Requests will be processed on a rolling basis. Priority will be given to authors presenting a paper at CVPR 2026.
This event will take place at Espaces du campus des Cordeliers, in the center of Paris.
Address: 15 rue de l’École-de-médecine 75006 Paris.
The event is planned for June 1st, 2026. The tentative schedule (subject to change) is the following:
| Time | Description |
|---|---|
| 08:45 - 09:30 | Coffee break and Opening |
| 09:30 - 10:10 | Keynote: Andrew Zisserman, Oxford, Deepmind |
| 10:10 - 10:50 | Keynote: Hongyang Li, Hong Kong |
| 10:50 - 12:30 | Coffee break and poster session 1 |
| 13:50 - 14:30 | Keynote: Cordelia Schmid, Inria, Google |
| 14:30 - 15:10 | Keynote: Gerard Pons-Moll, Tübingen |
| 15:10 - 17:00 | Coffee break and poster session 2 |
Andrew Zisserman (University of Oxford)
Hongyang Li (University of Hong Kong)
Cordelia Schmid (INRIA, Google)
Gerard Pons-Moll (University of Tübingen)
Paper List: The processing for waitlist posters is ongoing. The relevant authors will be notified in the coming days and the list of papers for poster presentation will be shared here.
Poster Instructions: Each poster will be displayed on a grid panel measuring 120cm (width) x 150 cm (height). These dimensions represent the maximum display space. Presenters are free to choose any template and dimension as long as it fits on the panel.
Matthieu Cord (Sorbonne University)
Vicky Kalogeiton (École Polytechnique, IP Paris)
David Picard (École Nationale des Ponts et Chaussée, IP Paris)
Jayneel Parekh (Sorbonne University)
Paul Couairon (École Polytechnique, IP Paris)
Raphael Baena (École des Ponts ParisTech, ENPC)
If you have any question, please contact us at cvprinparis@gmail.com.

