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Can Gao
Scholar

Can Gao

Google Scholar ID: yyi9jUIAAAAJ
Shenzhen University
Machine Learning
Google Scholar↗
Citations & Impact
All-time
Citations
1,017
 
H-index
18
 
i10-index
29
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
13 items
Open-Set Supervised 3D Anomaly Detection: An Industrial Dataset and a Generalisable Framework for Unknown Defects
2026
Cited
0
PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning
2026
Cited
0
A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
2025
Cited
0
C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
2025
Cited
0
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
2025
Cited
0
Mentor3AD: Feature Reconstruction-based 3D Anomaly Detection via Multi-modality Mentor Learning
2025
Cited
0
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection
2025
Cited
0
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
2025
Cited
0
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)

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