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<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8" />
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  <title>InSAI Lab @ Hunan University</title>
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  </style>
</head>
<body>
  <div class="container">
    <div class="hero">
      <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/69d4baff8e85a8e1ae8370a5/qqeGpW3kQ8GVDcazES1nW.png" alt="InSAI Lab Logo" class="logo" />
      <h1>Integrated Sensing and Assistive Intelligence (InSAI) Lab</h1>
      <div class="subtitle">School of AI and Robotics, Hunan University (HNU)</div>
      <p class="mission">
        "Building a utopia where integrated sensing systems empower and enhance human capabilities, especially benefiting people with disabilities."
      </p>
      <div class="badges">
        <a href="https://insailab.org" target="_blank" class="badge badge-primary">🌐 Official Website</a>
        <a href="https://github.com/InSAI-Lab" target="_blank" class="badge badge-dark">πŸ’» GitHub Organization</a>
        <a href="https://huggingface.co/InSAI-Lab" target="_blank" class="badge badge-hf">πŸ€— Hugging Face Hub</a>
        <a href="mailto:jiamingzhang@hnu.edu.cn" class="badge badge-mail">βœ‰οΈ jiamingzhang@hnu.edu.cn</a>
      </div>
    </div>

    <div class="section-title">🌟 Featured Open-Source Benchmarks & Models</div>
    <div class="grid">
      <div class="card">
        <h3>πŸš— DeLiVER & CMNeXt (CVPR 2023)</h3>
        <p>Arbitrary-modal semantic segmentation covering Depth, LiDAR, Events, Multiple Views, and RGB under 4 severe weather conditions and 5 sensor failure corner cases.</p>
        <div class="card-links">
          <a href="https://huggingface.co/datasets/InSAI-Lab/DELIVER" target="_blank" class="btn">πŸ“¦ Dataset (12.2 GB)</a>
          <a href="https://huggingface.co/InSAI-Lab/CMNeXt" target="_blank" class="btn">πŸ€– Checkpoints (37 models)</a>
          <a href="https://arxiv.org/abs/2303.01480" target="_blank" class="btn">πŸ“„ CVPR 2023 Paper</a>
        </div>
      </div>

      <div class="card">
        <h3>🌐 SynPASS & Trans4PASS / Trans4PASS+ (CVPR 2022)</h3>
        <p>Distortion-aware Vision Transformers tailored for 360Β° panoramic cameras and omnidirectional scene understanding, featuring the 9,080-frame SynPASS benchmark.</p>
        <div class="card-links">
          <a href="https://huggingface.co/datasets/InSAI-Lab/SynPASS" target="_blank" class="btn">πŸ“¦ Dataset (4.8 GB)</a>
          <a href="https://huggingface.co/InSAI-Lab/Trans4PASS" target="_blank" class="btn">πŸ€– Checkpoints (40 models)</a>
          <a href="https://arxiv.org/abs/2203.01452" target="_blank" class="btn">πŸ“„ CVPR 2022 Paper</a>
        </div>
      </div>
    </div>

    <div class="section-title">🎯 Core Research Directions</div>
    <div class="directions">
      <ul>
        <li><strong>Multimodal Perception & Scene Understanding:</strong> Vision-Language Modeling, 2D/3D Vision, and sensor fusion in complex, adverse real-world environments.</li>
        <li><strong>Autonomous Systems & Panoramic Vision:</strong> Semantic Mapping, Panoramic Sensing, Distortion-aware Transformers, and Bird’s-Eye-View (BEV) perception.</li>
        <li><strong>Embodied Intelligence:</strong> Perception, navigation, and decision-making linking foundation models with robotic action, including Sim2Real adaptation.</li>
        <li><strong>Assistive Technologies:</strong> Wearable assistive systems, navigation aids, and accessible interfaces designed around human capabilities.</li>
        <li><strong>Brain-Computer Interface & Document Understanding:</strong> Cognitive state sensing, assistive BCI, and intelligent layout/reading assistance.</li>
      </ul>
    </div>

    <footer>
      Β© InSAI Lab, Hunan University. Visit <a href="https://insailab.org" target="_blank" style="color:var(--primary);text-decoration:none;">insailab.org</a> for more news and publications.
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