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Hello, nice to meet you and welcome to my website. My name is Yoon Gyo Jung (정윤교) and I'm a 4th year Ph.D candidate at Northeastern University Computer Engineering Department, Boston, Massachusetts, USA. I am advised by Prof. Octavia Camps. Prior to starting my Ph.D, I have finished my M.S and B.S at Yonsei University, advised by Prof. Andrew Beng Jin Teoh in Multimedia Security Lab. I have also worked in Computational Vision Lab with Prof. Charless Fowlkess as an undergraduate intern during my exchange program in UC Irvine. I also worked as a research intern at MERL. [ Google Scholar ] [ LinkedIn ] [ CV ] [ Github ] |
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I'm interested in computer vision, deep learning, out-of-distribution detection, anomaly detection, biometrics, multi-modal learning, and generative AI. Most of my research is related with out-of-distribution detection inferring the unknown out-distributions of neural networks. |
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TailedCore : Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection Yoon Gyo Jung Jaewoo Park, Jaeho Yoon, Kuan-Chuan Peng, Wonchul Kim, Andrew Beng Jin Teoh, Octavia Camps, In CVPR, 2025 |  Project |
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Face Reconstruction Transfer Attack as Out-of-Distribution Generalization Yoon Gyo Jung Jaewoo Park, Xingbo Dong, Hojin Park, Andrew Beng Jin Teoh, Octavia Camps, In ECCV, 2024 | ArXiv |
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Periocular Embedding Learning with Consistent Knowledge Distillation from Face Yoon Gyo Jung Jaewoo Park, Cheng Yaw Low, Jacky Chen Long Chai, Leslie Ching Ow Tiong, Andrew Beng Jin Teoh, In Neurocomputing, 2024 | ArXiv |
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Nearest Neighbor Guidance for Out-of-Distribution Detection
Jaewoo Park, Yoon Gyo Jung Andrew Beng Jin Teoh, In ICCV, 2023 | ArXiv |
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Website stolen from Jon Barron. Thank you very much! |