Part of the Physical Sciences and Mathematics Commons

Works by Arif Mahmood in Physical Sciences and Mathematics

2022

Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search, Maryam Sultana, Arif Mahmood, Soon Ki Jung
Computer Vision Faculty Publications

Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies, Muhammad Zaigham Zaheer, Jin Ha Lee, Arif Mahmood, Marcella Astrid, Seung Ik Lee
Computer Vision Faculty Publications

Moving objects segmentation using generative adversarial modeling, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Muhammad Haris Khan

Generative Cooperative Learning for Unsupervised Video Anomaly Detection, M. Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Computer Vision Faculty Publications

Moving objects segmentation using generative adversarial modeling, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Computer Vision Faculty Publications

Video Object Segmentation Based on Guided Feature Transfer Learning, Mustansar Fiaz, Arif Mahmood, Sehar Shahzad Farooq, Kamran Ali, Muhammad Shaheryar, Soon Ki Jung
Computer Vision Faculty Publications

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

Generative Cooperative Learning for Unsupervised Video Anomaly Detection, M. Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee
Muhammad Haris Khan

Background/foreground separation: guided attention based adversarial modeling (GAAM) versus robust subspace learning methods, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Muhammad Haris Khan

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
Computer Vision Faculty Publications

Background/foreground separation: guided attention based adversarial modeling (GAAM) versus robust subspace learning methods, Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Computer Vision Faculty Publications