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README.md

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-# [CVPR 2026] HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models
+<div align="center">
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+# HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models
+
+<p align="center">
+  <strong>CVPR 2026</strong>
+</p>
+
+<p align="center">
+  MD Khalequzzaman Chowdhury Sayem<sup>1*</sup>,
+  Mubarrat Tajoar Chowdhury<sup>1*</sup>,
+  Yihalem Yimolal Tiruneh<sup>1</sup>,
+  Muneeb A. Khan<sup>1*</sup>,
+  Muhammad Salman Ali<sup>1*</sup>,
+  Binod Bhattarai<sup>2,3,4&dagger;</sup>,
+  Seungryul Baek<sup>1&dagger;</sup>
+</p>
+
+<p align="center">
+  <sup>1</sup>UNIST,
+  <sup>2</sup>University of Aberdeen,
+  <sup>3</sup>University College London,
+  <sup>4</sup>Fogsphere (Redev.AI Ltd)
+</p>
+
+<p align="center">
+  <sup>*</sup>Equal contribution.
+  <sup>&dagger;</sup>These authors jointly supervised this work.
+</p>
+
+<p align="center">
+  <a href="https://kcsayem.github.io/handvqa/"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-3b3b3b?style=for-the-badge"></a>
+  <a href="https://huggingface.co/datasets/kcsayem/handvqa"><img alt="Dataset" src="https://img.shields.io/badge/HuggingFace-Dataset-fcc624?style=for-the-badge"></a>
+  <a href="https://github.com/kcsayem/handvqa"><img alt="GitHub Code" src="https://img.shields.io/badge/GitHub-Code-2f3542?style=for-the-badge"></a>
+</p>
+
+</div>
 
 HandVQA is a large-scale diagnostic benchmark designed to evaluate fine-grained spatial reasoning in vision-language models (VLMs), focusing on articulated hand pose understanding.