Part of the Artificial Intelligence and Robotics Commons

Works by Maryam Sultana in Artificial Intelligence and Robotics

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

Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
Fahad Shahbaz Khan

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

Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
Muhammad Haris Khan

Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
Salman H. Khan

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

Self-Distilled Vision Transformer for Domain Generalization, Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
Computer Vision Faculty Publications

PDF

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

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