Juan Du

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20232026

most citedG

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SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection

1 citations · 3 across the 8 of their papers we have counts for

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2 papers · 1 filter

eess.IV2025★ 1 cited

G $^{2}$ SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection

Chengyu Tao, Xuanming Cao, Juan Du

Industrial quality inspection plays a critical role in modern manufacturing by identifying defective products during production. While single-modality approaches using either 3D po…

stat.ML2025★ 1 cited

Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data

Xuanming Cao, Chengyu Tao, Juan Du

Surface anomaly classification is critical for manufacturing system fault diagnosis and quality control. However, the following challenges always hinder accurate anomaly classifica…

G2SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection

Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data

G $^{2}$ SF-MIAD: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection