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Jian-Xiao Zou

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Open access Aug 2026

GACM-Net: A Geometry-Aware Contextual Memory Network for Efficient 3D Point Cloud Understanding

Three-dimensional point cloud understanding plays an important role in autonomous perception, robotic navigation, and LiDAR-based remote sensing. However, the irregular and unordered nature of point clouds makes it challenging to model long-range contextual dependencies while preserving geometric awareness, particularl...

Dongzhen Liu, Yuzhong Deng, Haojie Wu et al. · 0 citations
Open access Jul 2026

Efficient and lightweight long-range modeling for 3d point cloud classification and segmentation

The core of the proposed method is a bidirectional long short-term memory (BiLSTM)-based sequencer module, which models long-range contextual dependencies among points with linear computational complexity, enabling effective global feature learning at a low cost.

Dongzhen Liu, Yuzhong Deng, Jian-Xiao Zou et al. · 1 citation

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