Jeremy Irvin
@jeremy_irvin16
CS PhD candidate @Stanford working on AI for climate change and medicine. Previously @ClimateChangeAI, @Microsoft.
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Excited to present TEOChat — the first vision-language assistant for temporal Earth observation data — at #ICLR2025 today! 🌍🛰️ 📄 arxiv.org/abs/2410.06234 🔗 iclr.cc/virtual/2025/p… Come by Hall 3 + Hall 2B #109 from 3–5:30pm! @iclr_conf
🎉 Thrilled to announce that our work on TEOChat was accepted to #ICLR2025! We present the first vision-language assistant for temporal earth observation data ⏰🌍, capable of tasks like building damage assessment and identifying urban changes over time. More details below 👇
Vision-language models (VLMs) are revolutionizing how we use Earth observation (EO) data, but none could reason over time—a critical need for applications like disaster relief—until now. Introducing TEOChat 🌍🤖, the first VLM for temporal EO data! arxiv.org/abs/2410.06234 1/8
The TEOChatlas dataset is now available to download! 🥳 🤗Huggingface dataset: huggingface.co/datasets/jirvi… 🤖Code and instructions to train TEOChat on TEOChatlas: github.com/ermongroup/TEO…
github.com
GitHub - ermongroup/TEOChat: Official code for TEOChat, the first vision-language assistant for...
Official code for TEOChat, the first vision-language assistant for temporal earth observation data (ICLR 2025). - ermongroup/TEOChat
Vision-language models (VLMs) are revolutionizing how we use Earth observation (EO) data, but none could reason over time—a critical need for applications like disaster relief—until now. Introducing TEOChat 🌍🤖, the first VLM for temporal EO data! arxiv.org/abs/2410.06234 1/8
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