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Feifei Zuo

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
2024

Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge

CVPR 2024poster

Teeth localization segmentation and labeling in 2D images have great potential in modern dentistry to enhance dental diagnostics treatment planning and population-based studies on oral health. However general instance segmentation frameworks are incompetent due to 1) the subtle differences between s…

Cited by 3SourcePDFScholar