GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module
Peer-reviewed work on generative, reconstructive, and discriminative visual anomaly detection for industrial inspection.
Research
I keep peer-reviewed publications, preprints, thesis work, and active research lines distinct. When a paper has an official DOI, that is the first link.
Peer-reviewed work on generative, reconstructive, and discriminative visual anomaly detection for industrial inspection.
Research on bringing deep generative anomaly detection into a high-speed industrial inspection line.
arXiv preprint on covariance-aware, streaming-compatible PatchCore for industrial anomaly detection, submitted to EAAI.
Co-authored preprint on decoder-only language models with graph-structured memory.
Doctoral work on machine learning and computer vision for anomaly detection in pharmaceutical quality control.