ChatReID introduces a hierarchical progressive tuning framework that enables vision-language models to accurately identify individuals across different camera views in an interactive, open-ended manner.

• Transforms traditional person re-identification into a natural language interaction experience
• Enhances security systems by improving identity matching across non-overlapping camera feeds
• Leverages specialized tuning techniques to focus on identity-relevant visual features
• Enables conversational queries about individuals in surveillance footage

This advancement represents a significant leap for security applications, allowing more intuitive interfaces for security personnel and improved monitoring capabilities for surveillance systems without requiring specialized technical knowledge.

ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models