Lee, Seung-Ik
- Generative Cooperative Learning for Unsupervised Video Anomaly Detection
2022/03/08 by Zaheer, Muhammad Zaigham, Mahmood, Arif, Khan, Muhammad Haris +3 · 22 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
2020/11/24 by Muhammad Zaigham Zaheer, Arif Mahmood, Zaheer, Muhammad Zaigham +5 · 9 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Network Security and Intrusion Detection
- Old is Gold: Redefining the Adversarially Learned One-Class Classifier\n Training Paradigm
2020/04/16 by Muhammad Zaigham Zaheer, Jinha Lee, Zaheer, Muhammad Zaigham +5 · 5 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Small Object Detection using Context and Attention
2019/12/13 by Lim, Jeong-Seon, Astrid, Marcella, Yoon, Hyun-Jin +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning Not to Reconstruct Anomalies
2021/10/19 by Marcella Astrid, Astrid, Marcella, Muhammad Zaigham Zaheer +5 · 3 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Immune Systems Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Network Security and Intrusion Detection
- CP-decomposition with Tensor Power Method for Convolutional Neural Networks Compression
2017/01/25 by Astrid, Marcella, Lee, Seung-Ik · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
2022/03/25 by Muhammad Zaigham Zaheer, Arif Mahmood, Zaheer, Muhammad Zaigham +5 · 3 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection #Artificial Immune Systems Applications
- Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization
2018/01/16 by Marcella Astrid, Seung‐Ik Lee, Astrid, Marcella +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
- Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
2021/10/19 by Astrid, Marcella, Zaheer, Muhammad Zaigham, Lee, Seung-Ik · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
2022/03/25 by Muhammad Zaigham Zaheer, Jin Ha Lee, Zaheer, Muhammad Zaigham +7 · 2 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research