Maryam Sultana

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Subspace Learning

Background Subtraction

Moving Object Detection

Systematic Review

Top Venues

J. Electronic Imaging

Publications

Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin
Credal Learning Theory. CoRR (2024)
Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman Khan, Fahad Shahbaz Khan
Self-Distilled Vision Transformer for Domain Generalization. CoRR (2022)
Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Moving objects segmentation using generative adversarial modeling. Neurocomputing 506 (2022)
Maryam Sultana, Arif Mahmood, Soon Ki Jung
Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search. Pattern Recognit. 129 (2022)
Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan
Self-distilled Vision Transformer for Domain Generalization. ACCV (2) (2022)
Maryam Sultana, Arif Mahmood, Soon Ki Jung
Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations. IEEE Trans. Multim. 23 (2021)
Jhony H. Giraldo, Sajid Javed, Maryam Sultana, Soon Ki Jung, Thierry Bouwmans
The Emerging Field of Graph Signal Processing for Moving Object Segmentation. IW-FCV (2021)
Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods. ICCVW (2021)
Maryam Sultana, Thierry Bouwmans, Jhony H. Giraldo, Soon Ki Jung
Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks. IW-FCV (2021)
Maryam Sultana, In Su Kim, Soon Ki Jung
Deep Matting for AR Based Interior Design. IW-FCV (2020)
Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung
Unsupervised Adversarial Learning for Dynamic Background Modeling. IW-FCV (2020)
Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung
Dynamic Background Subtraction Using Least Square Adversarial Learning. ICIP (2020)
Maryam Sultana, Soon Ki Jung
Illumination Invariant Foreground Object Segmentation using ForeGANs. CoRR (2019)
Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung
Complete Moving Object Detection in the Context of Robust Subspace Learning. ICCV Workshops (2019)
Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung
Unsupervised deep context prediction for background estimation and foreground segmentation. Mach. Vis. Appl. 30 (3) (2019)
Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation. Neural Networks 117 (2019)
Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung
Unsupervised RGBD Video Object Segmentation Using GANs. CoRR (2018)
Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung
Unsupervised Deep Context Prediction for Background Foreground Separation. CoRR (2018)
Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation. CoRR (2018)
Maryam Sultana, Muhammad Naeem Bhatti, Sajid Javed, Soon-Ki Jung
Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition. J. Electronic Imaging 26 (5) (2017)
Sajid Javed, Thierry Bouwmans, Maryam Sultana, Soon Ki Jung
Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA. ICIAP Workshops (2017)