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Saining Xie

@sainingxie • 39,663 subscribers

cofounder & chief science officer at @amilabs | faculty @nyu_courant | prev: @googledeepmind @meta (fair) @ucsandiego | ynwa

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vision🍌 is here if you got into computer vision the way I did, starting with pixel-level labeling tasks like segmentation, edges, depth, or surface normals, you’ll probably feel the same seeing these results -- something big has quietly shifted, and it’s going to change how we approach these problems for good 🧵

vision🍌 is here if you got into computer vision the way I did, starting with pixel-level labeling tasks like segmentation, edges, depth, or surface normals, you’ll probably feel the same seeing these results -- something big has quietly shifted, and it’s going to change how we approach these problems for good 🧵

65,701 просмотров

well someone has been preaching this at us for like 6+ years glad we are past the 'feel the agi' phase and back to building toward human-level intelligence

well someone has been preaching this at us for like 6+ years glad we are past the 'feel the agi' phase and back to building toward human-level intelligence

121,083 просмотров

Video understanding is the next frontier, but not all videos are alike. Models now reason over youtube clips and feature films, but what about the everyday spaces we—and our future AI assistants—navigate and experience? Introducing Thinking in Space, our latest study exploring how multimodal LLMs see, remember and recall spaces. 🧵[1/n]

Video understanding is the next frontier, but not all videos are alike. Models now reason over youtube clips and feature films, but what about the everyday spaces we—and our future AI assistants—navigate and experience? Introducing Thinking in Space, our latest study exploring how multimodal LLMs see, remember and recall spaces. 🧵[1/n]

209,460 просмотров

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Introducing Cambrian-S it’s a position, a dataset, a benchmark, and a model but above all, it represents our first steps toward exploring spatial supersensing in video. 🧶

Introducing Cambrian-S it’s a position, a dataset, a benchmark, and a model but above all, it represents our first steps toward exploring spatial supersensing in video. 🧶

257,992 просмотров • 7 месяцев назад

🌎 𝕤𝕒𝕪 𝕙𝕖𝕝𝕝𝕠 𝕥𝕠 𝕧𝕚𝕣𝕝 🌏

🌎 𝕤𝕒𝕪 𝕙𝕖𝕝𝕝𝕠 𝕥𝕠 𝕧𝕚𝕣𝕝 🌏

95,411 просмотров • 2 лет назад

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