Computer Vision

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Richard Sutton @RichardSSutton · 08/11 05:00
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
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Satya Mallick” martin_casado Kosta Derpanis
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Satya Mallick @LearnOpenCV a cité · 08/11 05:00
That’s what I call a bitter sense of humor.
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Michael Black @Michael_J_Black · 06/11 19:44
The dogma of the last decade in computer vision is that all classical algorithms should be replaced by neural networks. This has been very productive but, counterintuitively, with the latest frontier models, I find myself sometimes turning back to classical methods. If you have
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Matthias Niessner Satya Mallick” Kosta Derpanis
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Satya Mallick @LearnOpenCV a cité · 06/11 17:41
A lot of algorithms, especially in geometry are difficult to code and very delicate. Now, thanks to frontier models we can try those ideas out. Not everything needs to be solved using a big hammer of neural networks.
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Andrea Tagliasacchi @taiyasaki · 03/11 11:06
📢📢📢 Introducing 𝐒𝐨𝐥𝐯𝟑𝐑 Can geometric foundation models move beyond fixed-set prediction and keep solving like classical SfM? We turn a looped Transformer into a reusable 𝐥𝐞𝐚𝐫𝐧𝐞𝐝 𝐠𝐞𝐨𝐦𝐞𝐭𝐫𝐢𝐜 𝐬𝐨𝐥𝐯𝐞𝐫 🌐 Project: 🧵👇
ubc-vision.github.io Solv3R: 3D Looped Transformer as a Multi-view Solver One learned solver for offline, incremental, online, and any-order 3D reconstruction.
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Dmytro Mishkin Kosta Derpanis F Frank Dellaert”
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Frank Dellaert @fdellaert a cité · 03/11 03:41
Solv3R looks amazing!
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Rikiya Takehi @rikiyatakehi · 02/11 23:51
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming:
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Yoshitomo Matsubara” A Aviad Dahan” Douglas Gray”
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Yoshitomo Matsubara @yoshitomo_cs a cité · 02/11 23:51
Sounds like a surprising result Is it possible that GPT-6 Astra is aware of the target task and have access to some fine-tuned Qwen weights in some way (say 🤗) to cheat? Some of the replies imply that it won't generalize well
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Aviad Dahan @AviadDahan a cité · 02/11 22:33
it's like reverse engineering assembly code but for neural networks
Douglas Gray @de3ug a cité · 02/11 20:50
Franticly updating priors about what the future of ML research looks like… Spoiler: “Just Ask”
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Oliver Hahn @olvr_hhn · 02/11 23:07
📢 LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation! Generate a queryable 3D Gaussian scene from a single image! Our feed-forward decoder jointly predicts geometry, appearance, open-vocabulary semantics, and object
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L Laura Leal-Taixe Kosta Derpanis Stefan Roth