Home      Log In      Contacts      FAQs      INSTICC Portal
IMPROVE 2024 will be held in conjunction with VEHITS 2024 and CLOSER 2024.
Registration to IMPROVE allows free access to the VEHITS and CLOSER conferences (as a non-speaker).

Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).

The best student paper award will receive a special prize in the form of its registration reimbursement. We gratefully acknowledge ACM for sponsoring this prize.

Upcoming Submission Deadlines

Doctoral Consortium Paper Submission: February 29, 2024
Abstracts Track Submission: February 29, 2024

(See Important Dates for more information)

IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision scientific advances and practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas.

Conference Chair

Sebastiano BattiatoMathematic And Informatic, University of Catania, Italy


Cosimo DistanteCNR and University of Salento, Italy
Francisco ImaiApple Inc., United States

Keynote Speakers

Abdenour HadidSorbonne University of Abu Dhabi, United Arab Emirates
Christine Fernandez-MaloigneUniversity of Poitiers, France
David RousseauLaboratoire D'ingénierie Des Systèmes Automatisés, Université D'angers, France

Science and Technology Publications, Lda

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

Springer Nature Computer Science

A short list of best papers will be invited
for a post-conference special issue of the
Springer Nature Computer Science Journal

Proceedings will be submitted for evaluation for indexing by: