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Jin Ha Lee

Affiliations:
  • University of Science and Technology, Daejeon, South Korea
  • Electronics and Telecommunications Research Institute, Daejeon, South Korea


According to our database1, Jin Ha Lee authored at least 8 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies.
[BibTeX]
[DOI]
Muhammad Zaigham Zaheer
,
Jin Ha Lee
,
Arif Mahmood
,
Marcella Astrid
,
Seung-Ik Lee
IEEE Trans. Image Process., 2022

2021
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection.
[BibTeX]
[DOI]
Muhammad Zaigham Zaheer
,
Jin-Ha Lee
,
Marcella Astrid
,
Arif Mahmood
,
Seung-Ik Lee
CoRR, 2021

Deep Visual Anomaly Detection with Negative Learning.
[BibTeX]
[DOI]
Jin Ha Lee
,
Marcella Astrid
,
Muhammad Zaigham Zaheer
,
Seung-Ik Lee
Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020
For Safer Navigation: Pedestrian-View Intersection Classification.
[BibTeX]
[DOI]
Marcella Astrid
,
Jin Ha Lee
,
Muhammad Zaigham Zaheer
,
Jae-Yeong Lee
,
Seung-Ik Lee
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm.
[BibTeX]
[DOI]
Muhammad Zaigham Zaheer
,
Jin-Ha Lee
,
Marcella Astrid
,
Seung-Ik Lee
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers.
[BibTeX]
[DOI]
Jin-Ha Lee
,
Muhammad Zaigham Zaheer
,
Marcella Astrid
,
Seung-Ik Lee
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos.
[BibTeX]
[DOI]
Muhammad Zaigham Zaheer
,
Jin Ha Lee
,
Seung-Ik Lee
,
Beom-Su Seo
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence.
[BibTeX]
[DOI]
Jin Ha Lee
,
Ik hee Shin
,
Sang gu Jeong
,
Seung-Ik Lee
,
Muhamamad Zaigham Zaheer
,
Beom-Su Seo
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019


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