Industrial Anomaly Detection

Mar 1, 2020 · 1 min read

Investigated generative reconstruction methods for explainable anomaly detection in industrial images.

Highlights

  • Studied reconstruction-based detection of visual defects
  • Focused on transparent methods for safety-critical applications

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Generative Model Anomaly Detection Industry
Dongkun Lee
Authors
Dongkun Lee
Senior Staff Engineer | LLM Inference Optimization | Model Compression

I am a Senior Staff Engineer working on efficient AI systems, with a focus on LLM inference optimization and model compression.

My work spans quantization, pruning, knowledge distillation, sparsity, and decoding algorithms, with an emphasis on reducing deployment cost while preserving model quality.

I hold a Ph.D. in Computer Science from KAIST, with a research background in out-of-distribution detection, anomaly segmentation, uncertainty estimation, generative modeling, and computer vision.