Research map / Vision-language and multimodal / Human and embodied modeling
Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion (ICML 2025 · similarity 0.87)
- POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning (AAAI 2025 · similarity 0.86)
- TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond (NeurIPS 2026 · similarity 0.86)
- Holistic Semantic Representation for Navigational Trajectory Generation (AAAI 2025 · similarity 0.85)
- RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility (NeurIPS 2025 · similarity 0.85)
- Taming the Long Tail in Human Mobility Prediction (NeurIPS 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
