Jaewoo Park
I am a Senior Research Scientist at AIVEX Inc., leading machine learning research for industrial AI. I received my Ph.D. in Electrical and Electronic Engineering from Yonsei University.
My research centers on anomaly detection, where I take a theoretically principled approach. I also explore how the priors of modern generative models and LLMs can extend anomaly detection to diverse application domains. The methods I develop are deployed on production lines across multiple industries.
news
| Aug 13, 2026 | Our paper Memory-Bounded Continuation of Greedy Sampling for Continual Anomaly Detection was accepted to BMVC 2026! |
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| Jun 17, 2026 | Our paper Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy was accepted to ECCV 2026! [arXiv] |
| Apr 30, 2026 | Our paper Memory-Distilled Selection for Noise-Robust Anomaly Detection was accepted to ICML 2026! [arXiv] |
selected publications
- BMVCMemory-Bounded Continuation of Greedy Sampling for Continual Anomaly DetectionIn British Machine Vision Conference (BMVC), 2026