Muhammad Zaigham Zaheer
Mohamed bin Zayed University of Artificial Intelligence(AE)
Publications by Year
Research Areas
Anomaly Detection Techniques and Applications, Network Security and Intrusion Detection, Artificial Immune Systems Applications, Adversarial Robustness in Machine Learning, Advanced Neural Network Applications
Most-Cited Works
- → Generative Cooperative Learning for Unsupervised Video Anomaly Detection(2022)189 cited
- → A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels(2020)111 cited
- → SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers(2020)48 cited
- → Diffusemix: Label-Preserving Data Augmentation with Diffusion Models(2024)41 cited
- → Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos(2023)33 cited
- → Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains(2018)29 cited
- → An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration(2021)25 cited
- → PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies(2023)25 cited
- → Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm(2020)25 cited
- → Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection(2021)23 cited