We encourage two types of submissions:

Full-length papers with proceedings. The work should be 4-8 pages long (excluding references). 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 format, 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