Underwater image enhancement (UIE) aims to restore visibility, color fidelity, and structural detail from images degraded by wavelength-dependent attenuation and backscatter. State-of-the-art UIE methods often rely on large backbones and dense image-to-image prediction, limiting their practicality for edge deployment....
Cun-Hao Zhu, Dong-Liang Xu, Xiang-Tao Kong et al.· 0 citations
World Action Models (WAMs) are becoming increasingly important and useful for embodied intelligence, as they enable robots to anticipate the consequences of candidate actions before interacting with the physical environment. However, underwater robots are usually subject to passive dynamics, such as inertia, buoyancy,...
Cun-Hao Zhu, Yi-Feng Wang, Dong-Liang Xu et al.· 0 citations
This paper introduces SkillTrace, which organizes the user query into a semantic hierarchy, matches skill queries and candidates, and propagates over the skill dependencies, and delivers consistent improvements across different backbone language models, demonstrating the generality and robustness of graph-based skill r...
Yue Yao, Shengyuan Wang, Xin Chen et al.· 0 citations
A simple and effective approach to apply test-time scaling to VLN for UAV navigation through an iterative refinement process that requires no extra model training, guiding the model to re-evaluate its initial navigation plan for better accuracy and safety.
