Zaheer, Muhammad Zaigham

9 publications

CVPRW 2025 ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation Syed Bilal Ahsan, Muhammad Ikhalas, Muhammad Muzamil Khan, Sana Ullah, Muhammad Zaigham Zaheer

WACV 2024 A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection Anas Al-lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar

CVPR 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar

ICLRW 2024 Constricting Normal Latent Space for Anomaly Detection with Normal-Only Training Data Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee

CVPR 2024 DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar

ICCVW 2021 An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Marcella Astrid, Seung-Ik Lee

ICCVW 2021 Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection Marcella Astrid, Muhammad Zaigham Zaheer, Seung-Ik Lee

ECCV 2020 CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee

CVPRW 2020 SmoothMix: A Simple yet Effective Data Augmentation to Train Robust Classifiers Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee