#cvpr2026

Anya Rossi

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Introducing Ego2Web from Google DeepMind and UNC Chapel Hill, accepted to #CVPR2026. AI agents can browse the web. But can they act based on what you see? Existing benchmarks focus only on web interaction while ignoring the real world. Ego2Web bridges egocentric video perception and web execution, enabling agents that can see through first-person video, understand real-world context, and take actions on the web grounded in the egocentric video. This opens a path toward AI assistants that operate seamlessly across physical and digital environments. We hope Ego2Web serves as an important step for building more capable, perception-driven agents. 🧵👇

Introducing Ego2Web from Google DeepMind and UNC Chapel Hill, accepted to #CVPR2026. AI agents can browse the web. But can they act based on what you see? Existing benchmarks focus only on web interaction while ignoring the real world. Ego2Web bridges egocentric video perception and web execution, enabling agents that can see through first-person video, understand real-world context, and take actions on the web grounded in the egocentric video. This opens a path toward AI assistants that operate seamlessly across physical and digital environments. We hope Ego2Web serves as an important step for building more capable, perception-driven agents. 🧵👇

Shoubin Yu @ COLM26

46,273 Aufrufe • vor 7 Monaten

Back to the lecture prep grind. VERY early version of my lecture on Policy Gradients. With #computervision and #robotics research appearing to converge, at least based on #CVPR2026 and my European tour conversations, it feels like good timing 😉

Back to the lecture prep grind. VERY early version of my lecture on Policy Gradients. With #computervision and #robotics research appearing to converge, at least based on #CVPR2026 and my European tour conversations, it feels like good timing 😉

28,925 Aufrufe • vor 4 Monaten

Your senior co-author on day 7 of the #CVPR2026 rebuttal period finally joining the discussion.

Your senior co-author on day 7 of the #CVPR2026 rebuttal period finally joining the discussion.

46,200 Aufrufe • vor 9 Monaten

#CVPR2026 Can frontier LLMs write PhD-level 3D vision code? We introduce GeoCodeBench, a benchmark that asks models to read real 3D geometric vision papers and implement core functions. Best result so far: GPT-5 reaches only 36.6%. This suggests that scientific coding in 3D vision remains far from solved. Paper: Project:

#CVPR2026 Can frontier LLMs write PhD-level 3D vision code? We introduce GeoCodeBench, a benchmark that asks models to read real 3D geometric vision papers and implement core functions. Best result so far: GPT-5 reaches only 36.6%. This suggests that scientific coding in 3D vision remains far from solved. Paper: Project:

18,336 Aufrufe • vor 5 Monaten

Introducing ForeHOI - One small step toward Physical AI! Accepted to #CVPR2026 🎉 It turns real human experiences — the natural way you touch, grab & use objects every day — into 3D instantly. This will equip robots to perform precise sequential actions in the physical world 🚀

Introducing ForeHOI - One small step toward Physical AI! Accepted to #CVPR2026 🎉 It turns real human experiences — the natural way you touch, grab & use objects every day — into 3D instantly. This will equip robots to perform precise sequential actions in the physical world 🚀

18,878 Aufrufe • vor 7 Monaten

Our Latent Encoder-Decoder code base is fully open sourced, you can train and visualize the latent space: Code⚙️: ArXiv 📚: #CVPR2026

Our Latent Encoder-Decoder code base is fully open sourced, you can train and visualize the latent space: Code⚙️: ArXiv 📚: #CVPR2026

19,323 Aufrufe • vor 7 Monaten

🚀 Speed3R (#CVPR2026): sparse feed-forward 3D reconstruction. 12.4× faster on 1000-view sequences with minimal accuracy loss. Plug-and-play on VGGT, π³, etc. 🔗 📄 💻

🚀 Speed3R (#CVPR2026): sparse feed-forward 3D reconstruction. 12.4× faster on 1000-view sequences with minimal accuracy loss. Plug-and-play on VGGT, π³, etc. 🔗 📄 💻

11,492 Aufrufe • vor 4 Monaten

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