Multimodal Representation and Retrieval

MRR 2025

October 19/20, 2025 @ ICCV
Honolulu, Hawai'i

Abstract

Multimodal data is available in many applications like e-commerce production listings, social media posts and short videos. However, existing algorithms dealing with those types of data still focus on uni-modal representation learning by vision-language alignment and cross-modal retrieval. In this workshop, we target to bring a new retrieval problem where both queries and documents are multimodal. With the popularity of vision language modeling, large language models (LLMs), retrieval augmented generation (RAG), and multimodal LLM, we see a lot of new opportunities for multimodal representation and retrieval tasks. This event will be a comprehensive workshop focusing on the subject of multimodal representation and retrieval.

Our objective with this workshop is to capture the interest of researchers in the emerging field of multimodal retrieval and representation learning. As users increasingly use LLM based agents to interact with the world, the tools needed to retrieve relevant information will need to evolve to serve agents as well as human users. We anticipate that the workshop will serve as a catalyst for establishing a dedicated community focused on this topic. By highlighting the novelty and significance of the problem, we aim to attract researchers who are eager to explore and contribute to this field. We invite original research & industrial application papers that present research on learning multimodal representations and building multimodal retrieval systems.