We encourage two types of submissions:

Full-length papers with proceedings. The work is limited to 14 pages (excluding references) and should follow ECCV Submission policies. Selection for inclusion will be determined by the paper's relevance, significance, novelty of findings, technical quality, and clarity of presentation. Accepted papers will be featured in the ECCV 2024 workshop proceedings.

Extended abstracts (non-archived). We encourage submission of work in progress and work that has been previously published on relevant topics of the workshop as extended abstracts. The page limit is 4 pages (excluding references). These submissions will not be indexed or published in the proceedings. For authors who want to submit their accepted work at this workshop to a different journal or conference, please check their double submission policy.

Papers must adhere to the ECCV 2024 official template (by cloning the Overleaf Project), as per the main conference author guidelines. Each submission will undergo review by a minimum of two reviewers under a double-blind policy.

All the papers should be submitted using CMT website .

Relevant topics of interest to the workshop include, but are not limited to:

Training-free methods

Parameter efficient fine-tuning

Model compression and pruning

Token reduction

Light-weight models

Personalization of vision & language models

Uni-(multi-)modal reasoning

Continual/transfer learning

Efficient generative models

Novel applications for sustainability and biodiversity

Camera Ready Submission: Corresponding authors will receive the link to submit the camera ready files directly to Springer. We'll let you know as soon as those links have been sent and we'll also communicate the new deadline for submitting the camera ready.
Poster size: the posters should be portrait (vertical), with a maximum size of 90x180 cm.