Computer Vision for Science 2025

Motivation

This workshop aims to: bring together researchers working on computer vision and diverse scientific domains to discuss the latest advancements, challenges, and opportunities at their intersections. The goal is to foster interdisciplinary collaboration, build community within the computer vision community, and highlight progress and researchers at the interface of computer vision and the sciences.

AI advancements have become a transformative force, extending beyond their original domain to drive breakthroughs in scientific discovery—an impact highlighted by the 2024 Nobel Prizes in Physics and Chemistry. Computer vision, as one of the core areas in AI research, offers powerful tools for analyzing data, with applications spanning a wide range of scientific fields, from accelerating discoveries in astrophysics and biology to enhancing environmental monitoring and materials science. 

We aim to highlight work in this space and are interested in any topic that covers both computer vision and the sciences:

• Computer vision topics in this area often include (but are not limited to): reconstruction, recognition, segmentation and counting, human-in-the loop efforts, low-shot learning, domain adaptation and sim2real, video analysis, joint design of hardware and software. 

• Science topics include (but are not limited to): astrophysics via a variety of instrument types (radio, light, spectropolarimetry), chemistry, biology, neuroscience, and ecology.

Format

CV4Science will be a full day workshop incorporating:

• Talks from a set of senior researchers at the interface betwen computer vision and science, including both computer vision researchers and domain experts

• Posters from junior researchers that are selected on the basis of an extended abstract. These posters will be given a short spotlight plus a poster. 

We will not have long-form workshop papers.