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| <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">💻 GitHub Organization</a> |
| <a href="https://huggingface.co/InSAI-Lab" target="_blank" class="badge badge-hf">🤗 Hugging Face Hub</a> |
| <a href="mailto:jiamingzhang@hnu.edu.cn" class="badge badge-mail">✉️ jiamingzhang@hnu.edu.cn</a> |
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| <div class="section-title">🌟 Featured Open-Source Benchmarks & Models</div> |
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| <div class="card"> |
| <h3>🚗 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">📦 Dataset (12.2 GB)</a> |
| <a href="https://huggingface.co/InSAI-Lab/CMNeXt" target="_blank" class="btn">🤖 Checkpoints (37 models)</a> |
| <a href="https://arxiv.org/abs/2303.01480" target="_blank" class="btn">📄 CVPR 2023 Paper</a> |
| </div> |
| </div> |
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| <div class="card"> |
| <h3>🌐 SynPASS & Trans4PASS / Trans4PASS+ (CVPR 2022)</h3> |
| <p>Distortion-aware Vision Transformers tailored for 360° 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">📦 Dataset (4.8 GB)</a> |
| <a href="https://huggingface.co/InSAI-Lab/Trans4PASS" target="_blank" class="btn">🤖 Checkpoints (40 models)</a> |
| <a href="https://arxiv.org/abs/2203.01452" target="_blank" class="btn">📄 CVPR 2022 Paper</a> |
| </div> |
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| <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> |
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