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Jiaqi Tang
Jiaqi-hkust
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https://jqt.me/
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Multimodal Large Language Model
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🛰️ Introducing Awesome-Remote-Sensing-Agents: The Largest Curated Collection of Intelligent Remote Sensing Agents We are excited to share our new repository Awesome-Remote-Sensing-Agents – a comprehensive, community-driven collection of 100+ papers at the intersection of remote sensing and intelligent agents (LLMs, VLM, multi‑agent systems, etc.). 🔗 GitHub Repository: https://github.com/PolyX-Research/Awesome-Remote-Sensing-Agents Our repository organizes this rapidly growing field into a structured, easy‑to‑navigate resource for researchers, practitioners, and enthusiasts. 📚 What’s Inside? We’ve carefully curated papers across 6 key application domains: 🌿 Ecological Monitoring – forest fires, biodiversity, climate science 🚨 Emergency Response – flood mapping, wildfire tracking, disaster geolocalization ⛏️ Geological Exploration – mineral mapping, lithological recognition, geologic reasoning 🌊 Marine Supervision – ocean science, autonomous surface vehicles 🌾 Precision Agriculture – crop disease detection, land use simulation 🏙️ Urban Governance – change detection, urban planning, embodied navigation 🤝 Join the Community! We warmly welcome contributions to keep this list up‑to‑date: 📝 Add missing papers via Pull Request 🏷️ Propose new or refined categories 🔗 Report broken links or outdated entries 💬 Discuss via GitHub Issues or contact the authors
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🛰️ Introducing Awesome-Remote-Sensing-Agents: The Largest Curated Collection of Intelligent Remote Sensing Agents We are excited to share our new repository Awesome-Remote-Sensing-Agents – a comprehensive, community-driven collection of 100+ papers at the intersection of remote sensing and intelligent agents (LLMs, VLM, multi‑agent systems, etc.). 🔗 GitHub Repository: https://github.com/PolyX-Research/Awesome-Remote-Sensing-Agents Our repository organizes this rapidly growing field into a structured, easy‑to‑navigate resource for researchers, practitioners, and enthusiasts. 📚 What’s Inside? We’ve carefully curated papers across 6 key application domains: 🌿 Ecological Monitoring – forest fires, biodiversity, climate science 🚨 Emergency Response – flood mapping, wildfire tracking, disaster geolocalization ⛏️ Geological Exploration – mineral mapping, lithological recognition, geologic reasoning 🌊 Marine Supervision – ocean science, autonomous surface vehicles 🌾 Precision Agriculture – crop disease detection, land use simulation 🏙️ Urban Governance – change detection, urban planning, embodied navigation 🤝 Join the Community! We warmly welcome contributions to keep this list up‑to‑date: 📝 Add missing papers via Pull Request 🏷️ Propose new or refined categories 🔗 Report broken links or outdated entries 💬 Discuss via GitHub Issues or contact the authors
reacted
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10 days ago
🛰️ Introducing Awesome-Remote-Sensing-Agents: The Largest Curated Collection of Intelligent Remote Sensing Agents We are excited to share our new repository Awesome-Remote-Sensing-Agents – a comprehensive, community-driven collection of 100+ papers at the intersection of remote sensing and intelligent agents (LLMs, VLM, multi‑agent systems, etc.). 🔗 GitHub Repository: https://github.com/PolyX-Research/Awesome-Remote-Sensing-Agents Our repository organizes this rapidly growing field into a structured, easy‑to‑navigate resource for researchers, practitioners, and enthusiasts. 📚 What’s Inside? We’ve carefully curated papers across 6 key application domains: 🌿 Ecological Monitoring – forest fires, biodiversity, climate science 🚨 Emergency Response – flood mapping, wildfire tracking, disaster geolocalization ⛏️ Geological Exploration – mineral mapping, lithological recognition, geologic reasoning 🌊 Marine Supervision – ocean science, autonomous surface vehicles 🌾 Precision Agriculture – crop disease detection, land use simulation 🏙️ Urban Governance – change detection, urban planning, embodied navigation 🤝 Join the Community! We warmly welcome contributions to keep this list up‑to‑date: 📝 Add missing papers via Pull Request 🏷️ Propose new or refined categories 🔗 Report broken links or outdated entries 💬 Discuss via GitHub Issues or contact the authors
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Robust-R1
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Analyze image degradations and effects
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Hawk
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Video Anomaly Understanding.