6 citations · 9 across the 7 of their papers we have counts for
7 papers · 1 filter
Style-Decoupled Adaptive Routing Network for Underwater Image Enhancement
Hang Xu, Chen Long, Bing Wang +2
Underwater Image Enhancement (UIE) is essential for robust visual perception in marine applications. However, existing methods predominantly rely on uniform mapping tailored to ave…
Expert Knowledge-Guided Decision Calibration for Accurate Fine-Grained Tree Species Classification
Chen Long, Dian Chen, Ruifei Ding +3
Accurate fine-grained tree species classification is critical for forest inventory and biodiversity monitoring. Existing methods predominantly focus on designing complex architectu…
WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory
Ruifei Ding, Zhe Chen, Wen Fan +5
Street trees are vital to urban livability, providing ecological and social benefits. Establishing a detailed, accurate, and dynamically updated street tree inventory has become es…
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion
Hang Xu, Chen Long, Wenxiao Zhang +4
In this paper, we explore a novel framework, EGIInet (Explicitly Guided Information Interaction Network), a model for View-guided Point cloud Completion (ViPC) task, which aims to…
WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research
Jiahao Zhou, Chen Long, Yue Xie +6
End-to-end models capable of handling multiple sub-tasks in parallel have become a new trend, thereby presenting significant challenges and opportunities for the integration of mul…
SparseDC: Depth Completion from sparse and non-uniform inputs
Chen Long, Wenxiao Zhang, Zhe Chen +5
We propose SparseDC, a model for Depth Completion of Sparse and non-uniform depth inputs. Unlike previous methods focusing on completing fixed distributions on benchmark datasets (…
PC-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Chen Long, Wenxiao Zhang, Ruihui Li +3
Point cloud upsampling is to densify a sparse point set acquired from 3D sensors, providing a denser representation for the underlying surface. Existing methods divide the input po…