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Seung‐Ik Lee

Small Object Detection using Context and Attention
2021 · Jeong-Seon Lim, Marcella Astrid, et al. · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · 347
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Generative Cooperative Learning for Unsupervised Video Anomaly Detection
2022 · M. Zaigham Zaheer, Arif Mahmood, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 261
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Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
2020 · Muhammad Zaigham Zaheer, Jin-Ha Lee, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 212
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A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
2020 · Muhammad Zaigham Zaheer, Arif Mahmood, et al. · IEEE Signal Processing Letters · 120
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CP-decomposition with Tensor Power Method for Convolutional Neural Networks compression
2017 · Marcella Astrid, Seung-Ik Lee · IEEE International Conference on Big Data and Smart Computing (BigComp) · 92
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Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
2021 · Marcella Astrid, Muhammad Zaigham Zaheer, et al. · IEEE International Conference on Computer Vision Workshops · 82
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SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers
2020 · Jin-Ha Lee, Muhammad Zaigham Zaheer, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 55
Learning Not to Reconstruct Anomalies
2021 · Marcella Astrid, Muhammad Zaigham Zaheer, et al. · British Machine Vision Conference (BMVC) · 52
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
2023 · Muhammad Zaigham Zaheer, Arif Mahmood, et al. · IEEE Transactions on Neural Networks and Learning Systems · 44
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Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
2021 · Zaheer, Muhammad Zaigham, Lee, Jin-ha, et al. · arXiv (Cornell University) · 40
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Learning Not to Reconstruct Anomalies
2021 · Astrid, Marcella, Zaheer, Muhammad Zaigham, et al. · arXiv (Cornell University) · 36
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PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
2023 · Marcella Astrid, Muhammad Zaigham Zaheer, et al. · Neurocomputing · 35
A flow entry management scheme for reducing controller overhead
2014 · Eun-Do Kim, Seung-Ik Lee, et al. · International Conference on Advanced Communication Technology · 35
NGSON: features, state of the art, and realization
2012 · Seung-Ik Lee, Shin-Gak Kang · IEEE Communications Magazine · 28
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration
2021 · Muhammad Zaigham Zaheer, Arif Mahmood, et al. · IEEE International Conference on Computer Vision Workshops · 27
A self-recovery scheme for service function chaining
2015 · Seung-Ik Lee, Myung-Ki Shin · International Conference on Information and Communication Technology Convergence (ICTC) · 24
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
2022 · Muhammad Zaigham Zaheer, Jin-Ha Lee, et al. · IEEE Transactions on Image Processing · 23
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Enhanced Flow Table Management Scheme With an LRU-Based Caching Algorithm for SDN
2017 · Eun-Do Kim, Yunchul Choi, et al. · IEEE Access · 23
Deep compression of convolutional neural networks with low-rank approximation
2018 · Marcella Astrid, Seung-Ik Lee · ETRI Journal · 21
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An Effective Conversational Agent with User Modeling Based on Bayesian Network
2001 · Seung-Ik Lee, Chul Sung, et al. · Lecture notes in computer science · 18
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos
2019 · M. Zaigham Zaheer, Jin Ha Lee, et al. · International Conference on Information and Communication Technology Convergence (ICTC) · 16
Neurocognitive Affective System for an Emotive Robot
2006 · Gunn-yong Park, Seung-ik Lee, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 14
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies
2022 · Marcella Astrid, Muhammad Zaigham Zaheer, et al. · International Conference on Ubiquitous Robots (UR) · 10
Exploiting diversity of neural ensembles with speciated evolution
2002 · Seung-Ik Lee, Joon-Hyun Ahn, et al. · International Joint Conference on Neural Networks (IJCNN) · 10
Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence
2019 · Jin ha Lee, Ik hee Shin, et al. · International Conference on Information and Communication Technology Convergence (ICTC) · 9
Works count: 117
Citation count: 1,808
H-index: 19
I10-index: 24
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