Publications

We introduce VietFashion, the first benchmark for sketch–text composed image retrieval targeting culturally-specific Vietnamese traditional outfits, enabling fine-grained cross-modal retrieval via domain-adapted encoder fine-tuning.

We investigate multi-modal large language models with a two-stage fine-tuning strategy for robust fashion image retrieval, demonstrating strong performance across standard benchmarks.