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ORCIDJin Ha Lee 0002
Person information
- affiliation: University of Science and Technology, Daejeon, South Korea
- affiliation: Electronics and Telecommunications Research Institute, Daejeon, South Korea
Other persons with the same name
- Jin Ha Lee 0001
![[0000-0002-9007-514X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9007-514X")
— University of Washington, Seattle, WA, USA (and 1 more)
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2020 – today
- 2022
[j1]Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. IEEE Trans. Image Process. 31: 5963-5975 (2022)- [i4]Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung-Ik Lee:
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies. CoRR abs/2203.13716 (2022) - 2021
- [c6]Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Deep Visual Anomaly Detection with Negative Learning. IW-FCV 2021: 218-232 - [i3]Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Arif Mahmood, Seung-Ik Lee:
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection. CoRR abs/2104.14770 (2021) - [i2]Jin Ha Lee, Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee:
Deep Visual Anomaly detection with Negative Learning. CoRR abs/2105.11058 (2021) - 2020
- [c5]Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee:
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. CVPR Workshops 2020: 3264-3274 - [c4]Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee:
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CVPR 2020: 14171-14181 - [c3]Marcella Astrid, Jin Ha Lee, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee:
For Safer Navigation: Pedestrian-View Intersection Classification. ICTC 2020: 7-10 - [i1]Muhammad Zaigham Zaheer, Jin Ha Lee, Marcella Astrid, Seung-Ik Lee:
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. CoRR abs/2004.07657 (2020)
2010 – 2019
- 2019
- [c2]Muhammad Zaigham Zaheer, Jin Ha Lee, Seung-Ik Lee, Beom-Su Seo:
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos. ICTC 2019: 472-473 - [c1]Jin Ha Lee, Ik hee Shin, Sang gu Jeong, Seung-Ik Lee, Muhamamad Zaigham Zaheer, Beom-Su Seo:
Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence. ICTC 2019: 525-530
Coauthor Index
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