AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes a robust Collaborative perception framework with expert-driven Detection and bev Segmentation (CoDS) and designs the Semantic Mixture-of-Experts (S-MoE) module to extract differentiated features for inconsistent feature demands.
VGGD, a visual geometry foundation-aware 3D Gaussian Splatting framework for feed-forward surround-view driving reconstruction, which shifts geometric modeling to the frontend and adapts foundation priors to the driving camera setting and achieves the best overall rendering quality among the compared methods and improv...
CoSAG is presented, which constructs the field without any per-scene training through a closed-form transmittance-weighted lift, spatially grounded semantic anchors, and multi-view denoising, and stores it with a spatially predictive entropy coder that ships no decoder.
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