🌍 Earth Science

🤖 AAAI2026 · 2 paper notes

📌 Same area in other venues: 📷 CVPR2026 (1) · 🔬 ICLR2026 (7) · 🧪 ICML2026 (2) · 🧠 NeurIPS2025 (6)

MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics

This paper proposes MdaIF, a framework that leverages a vision-language model (VLM) to extract degradation-aware semantic priors for guiding mixture-of-experts (MoE) routing and channel attention modulation, enabling one-stop infrared-visible image fusion across multiple degradation scenarios without requiring degradation-type annotations.

RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways

This paper proposes RENEW, a global path planner for autonomous surface vessels (ASVs) operating in dynamic water current (ocean current) environments. It introduces a unified risk- and energy-aware strategy via adaptive no-go zone identification, best-effort contingency planning, and a hierarchical architecture based on Constrained Delaunay Triangulation (CDT), achieving zero collisions in emergency maneuver tests.