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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

Yu-Hang Han

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Preprint Sep 2026

DXPR: Depth-Based Vision-LiDAR Cross-Modal Place Recognition Using Vision Foundation Models

We present DXPR, a depth-based cross-modal place recognition (CMPR) framework that uses vision foundation models (VFMs) to match monocular camera queries against a LiDAR map without modality-specific encoders. This enables robots and autonomous vehicles to robustly localize using only cameras within pre-built LiDAR map...

Yu-Hang Han, Youngseok Jang, Seungwon Roh et al. · 0 citations
Open access Jul 2026

SGP-Net: semantically-guided multi-task refinement for monocular depth estimation in scenes with potentially movable object categories

Semantically-guided progressive network (SGP-Net) is proposed, a semantically guided progressive refinement framework for MDE based on multi-task learning that improves key relative-error and accuracy metrics over the DCDepth baseline and remains competitive with recent methods.

Henan Hu, Xu Cheng, Rong-Hua Li et al. · 0 citations

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