| 2026 | WACV | A Multi-Agent Diffusion Approach for MRI Anomaly Segmentation via Modality-Specific LoRA Specialization. | Wafa Al Ghallabi, Muhammad Zaigham Zaheer, Ritesh Thawkar, Omkar Thawakar, Salman Khan, Fahad Shahbaz Khan |
| 2025 | CVPR | ARDGen: Augmentation Regularization for Domain-Generalized Medical Report Generation. | Syed Bilal Ahsan, Muhammad Ikhalas, Muhammad Muzamil Khan, Sana Ullah, Muhammad Zaigham Zaheer |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. | Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar |
| 2024 | ICDM | Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries Classifiers. | Mubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2024 | WACV | A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. | Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2024 | WACV | A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. | Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar |
| 2023 | ICASSP | Single-branch Network for Multimodal Training. | Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood |
| 2022 | BMVC | Face Pyramid Vision Transformer. | Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood |
| 2022 | CVPR | Generative Cooperative Learning for Unsupervised Video Anomaly Detection. | Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Seg, Fisher Yu, Seung-Ik Lee |
| 2021 | BMVC | Learning Not to Reconstruct Anomalies. | Marcella Astrid, Muhammad Zaigham Zaheer, Jae-Yeong Lee, Seung-Ik Lee |
| 2020 | CVPR | SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers. | Jin-Ha Lee, Muhammad Zaigham Zaheer, Marcella Astrid, Seung-Ik Lee |
| 2020 | CVPR | Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm. | Muhammad Zaigham Zaheer, Jin-Ha Lee, Marcella Astrid, Seung-Ik Lee |
| 2020 | ECCV | CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection. | Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee |