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Yaqian Liang

2 accepted papers

2026

TCATSEG: A TOOTH CENTER-WISE ATTENTION NETWORK FOR 3D DENTAL MODEL SEMANTIC SEGMENTATION

ICASSP 2026poster

Accurate semantic segmentation of 3D dental models is essential for digital dentistry applications such as orthodontics and dental implants. However, due to complex tooth arrangements and similarities in shape among adjacent teeth, existing methods struggle with accurate segmentation, because they o…

Cited by 0SourcePDFScholar
2022

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

ECCV 2022poster

"Recently, self-supervised pre-training has advanced Vision Transformers on various tasks w.r.t. different data modalities, e.g., image and 3D point cloud data. In this paper, we explore this learning paradigm for 3D mesh data analysis based on Transformers. Since applying Transformer architectures…

Cited by 59SourcePDFScholar