most citedVarAD: Lightweight High-Resolution Image Anomaly Detection via Visual Autoregressive Modeling

24 citations · 28 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation

Yuxin Jiang, Wei Luo, Hui Zhang +4

We propose Anomagic, a zero-shot anomaly generation method that produces semantically coherent anomalies without requiring any exemplar anomalies. By unifying both visual and textu…

cs.CV2025

A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects

Yuqi Cheng, Yunkang Cao, Haiming Yao +4

Industrial defect detection is vital for upholding product quality across contemporary manufacturing systems. As the expectations for precision, automation, and scalability intensi…

cs.CV2025

INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning

Wei Luo, Haiming Yao, Yunkang Cao +4

Anomaly detection (AD) is essential for industrial inspection and medical diagnosis, yet existing methods typically rely on ``comparing'' test images to normal references from a tr…

cs.CV2025

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection

Qiyu Chen, Huiyuan Luo, Haiming Yao +4

Anomaly detection plays a vital role in the inspection of industrial images. Most existing methods require separate models for each category, resulting in multiplied deployment cos…

cs.CV2025

Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

Wei Luo, Yunkang Cao, Haiming Yao +5

Anomaly detection (AD) is essential for industrial inspection, yet existing methods typically rely on ``comparing'' test images to normal references from a training set. However, v…

eess.SP2024

Self-Calibrated Dual Contrasting for Annotation-Efficient Bacteria Raman Spectroscopy Clustering and Classification

Haiming Yao, Wei Luo, Tao Zhou +2

Raman scattering is based on molecular vibration spectroscopy and provides a powerful technology for pathogenic bacteria diagnosis using the unique molecular fingerprint informatio…