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Open access Aug 2026

SFDNet: spatial-frequency decoupled network for infrared and visible image fusion

A novel spatial-frequency decoupled learning framework, termed spatial-frequency decoupled network (SFDNet), which decomposes features into low-frequency semantic structures and high-frequency detail components for independent representation learning and adaptive fusion is proposed.

Yufeng Li, Lei Yu, Chuan-Long Xie et al. · 0 citations
Open access Aug 2026

Geometric Point-Cloud Perception and Defect-Aware Grasping Framework for Industrial Workpieces

Industrial robots in small-batch manufacturing and human–robot collaborative workstations are increasingly required to perform grasping and sorting tasks on workpieces with natural language instructions. Unlike generic object grasping, industrial workpieces may contain local surface defects such as dents, scratches, an...

Yufeng Li, Hai-Feng Yu, Xin Su et al. · 0 citations

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