InfoCIR: Revolutionizing Image Search with Interactive Multimodal Analysis

research #computer vision 🔬 Research|Analyzed: Feb 17, 2026 05:03•

Published: Feb 17, 2026 05:00

•

1 min read

Analysis

InfoCIR introduces an exciting new visual analytics system designed to enhance Composed Image Retrieval. This innovative tool combines retrieval, explainability, and prompt engineering in a single, user-friendly interface, opening up new possibilities for understanding and refining image search queries.

Key Takeaways

•InfoCIR integrates a state-of-the-art CIR back-end with a six-panel interface.
•The system uses UMAP for low-dimensional projection and provides similarity-based saliency maps.
•It incorporates an LLM-powered prompt enhancer to generate prompt variations and visualize their impact.

Reference / Citation

View Original

"We present InfoCIR, a visual analytics system that closes this gap by coupling retrieval, explainability, and prompt engineering in a single, interactive dashboard."

ArXiv HCIFeb 17, 2026 05:00

* Cited for critical analysis under Article 32.

Older

Groundbreaking Framework Unveiled for LLM Fine-tuning Efficiency

Newer

MLLMs Empowering Visual Information Access for the Blind and Low Vision Community