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Nan Xue
I'm leading a research team at RobbyAnt, dedicated to self-supervised learning of structured, metric, and actionable representations for robotics. Previously, I spent 10 years working on structured visual geometry — line segments, wireframes, and planes — in computer vision. My profile photo is computed by my HAWPv3.
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Recent News
| 2026. 09: | Invited to serve as an Area Chair for CVPR 2027. |
| 2026. 07: | Meet LingBot 2.0! I lead LingBot-Vision for self-supervised vision pretraining, and take part in LingBot-Video for video pretraining, LingBot-VLA 2.0 for vision-language-action models, and LingBot-VA 2.0 for video-action modeling. |
| 2026. 03: | Our paper LiP-Map: Interacted Planes Reveal 3D Line Mapping has been accepted to IEEE TPAMI. |
| 2026. 01: | Our new work LingBot-VA on causal world modeling for robot control is now available on arXiv with code. |
| 2026. 01: | Our new work LingBot-Depth for masked depth modeling is now available on arXiv with code. |