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๐ŸŒ Earth Science

๐Ÿค– AAAI2026 ยท 2 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (2) ยท ๐Ÿ”ฌ ICLR2026 (7) ยท ๐Ÿงช ICML2026 (2) ยท ๐Ÿง  NeurIPS2025 (6) ยท ๐Ÿ“ท CVPR2025 (1) ยท ๐ŸŽž๏ธ ECCV2024 (1)

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.