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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Lipu Zhou

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3 papers indexed here

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Preprint Oct 2026

FLoTS-SLAM: Optical Flow-Derived Uncertainty for Monocular Dynamic SLAM with Two-Stage Optimization

Monocular simultaneous localization and mapping (SLAM) remains challenging in dynamic environments. Real-time dynamic object identification in such environments is a critical problem. Recent approaches estimate per-pixel uncertainty from rendering residuals or multiview feature inconsistency to identify dynamic regions...

Hao-Rui Du, Li-Pu Zhou · 0 citations
Oct 2026

HyVGGT-VO: Hybrid Dense Visual Odometry With Classical VO and Feed-Forward Model

Dense visual odometry (VO), which provides pose estimation and dense 3D reconstruction, serves as the cornerstone for applications ranging from robotics to augmented reality. Recently, feed-forward models have demonstrated remarkable capabilities in dense mapping. However, when these models are used in dense visual SLA...

Jun-Xiang Pang, Lipu Zhou, Bao-Jie Chen et al. · 0 citations
Jul 2026

GeoGS-SLAM: Geometry-Only Gaussian Splatting for Dense Monocular SLAM

Geometry-only Gaussian Splatting (GeoGS), which directly reconstructs scene geometry, and GeoGS-SLAM, a dense visual SLAM system built upon this representation, which outperforms SOTA methods in terms of online mapping efficiency and geometric reconstruction quality.

Lipu Zhou, Yaoyun Kang, Junxiang Pang et al. · 0 citations

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