The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Despite advancements in text-to-image generation (T2I) prior methods often face text-image
misalignment problems such as relation confusion in generated images. Existing solutions …

Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …

Composed image retrieval (CIR) is a new and flexible image retrieval paradigm, which can
retrieve the target image for a multimodal query, including a reference image and its …

We investigate composed image retrieval with text feedback. Users gradually look for the
target of interest by moving from coarse to fine-grained feedback. However, existing …

Composed Image Retrieval (CIR) allows users to search target images with a multimodal
query, comprising a reference image and a modification text that describes the user's …

Given a query composed of a reference image and a relative caption, the Composed Image
Retrieval goal is to retrieve images visually similar to the reference one that integrates the …

The Composed Query-Based Image Retrieval (CQBIR) task aims to precisely obtain the
preserved and modified parts, based on the multi-grained semantics learned from the …

Abstract Composed Image Retrieval (CIR) presents challenges in expressing search intent
through hybrid-modality queries where users search for a target image using another image …

Composing Text and Image to Image Retrieval (CTI-IR) aims at finding the target image,
which matches the query image visually along with the query text semantically. However …