works on
depth estimation 1multimodal reasoning 1prompt engineering 1spatial reasoning 1vision-language models 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.CV2026

When Depth Is Better Told Than Shown: Depth-Ordinal Prompting for Vision-Language Spatial Reasoning

Quynh Vo, Phuc Dao, Cong-Duy Nguyen +1

The paper introduces Depth-Ordinal Prompting (DOP), a training‑free technique that converts monocular depth estimates into object‑level ordinal text cues, enabling vision‑language…