Zijin Du — accepted AI-conference papers

2026

Point Cloud Semantic Scene Completion with Prototype-Guided Transformer

Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao

AAAI 2026technical

Semantic scene completion simultaneously reconstructs the shapes of missing regions and predicts semantic labels for the entire 3D scene. Although point cloud-based methods are more efficient than voxel-based methods, existing point cloud-based approaches largely fail to fully leverage semantic info

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2026

Semantic Guided Part Relation-aware Network for Point Cloud Completion

Zhensheng Zhou, Jianqing Liang, Jiye Liang, Zijin Du, Chenghao Fang

AAAI 2026technical

The primary goal of 3D point cloud completion is to reconstruct complete and high-resolution point clouds from incomplete and low-resolution inputs. While some recent approaches have achieved satisfactory completion performance by incorporating additional images, there remains room for improvement i

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