Maryam Sultana

According to our database, Maryam Sultana authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Credal Learning Theory.

Michele Caprio, Maryam Sultana, Eleni Elia, Fabio Cuzzolin

CoRR, 2024

2022

Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search.

Maryam Sultana, Arif Mahmood, Soon Ki Jung

Pattern Recognit., 2022

Moving objects segmentation using generative adversarial modeling.

Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Muhammad Haris Khan, Soon Ki Jung

Neurocomputing, 2022

Self-distilled Vision Transformer for Domain Generalization.

Maryam Sultana, Muzammal Naseer, Muhammad Haris Khan, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations.

Maryam Sultana, Arif Mahmood, Soon Ki Jung

IEEE Trans. Multim., 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

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks.

Maryam Sultana, Thierry Bouwmans, Jhony H. Giraldo, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

The Emerging Field of Graph Signal Processing for Moving Object Segmentation.

Jhony H. Giraldo, Sajid Javed, Maryam Sultana, Soon Ki Jung, Thierry Bouwmans

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020

Dynamic Background Subtraction Using Least Square Adversarial Learning.

Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung

Proceedings of the IEEE International Conference on Image Processing, 2020

Unsupervised Adversarial Learning for Dynamic Background Modeling.

Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

Deep Matting for AR Based Interior Design.

Maryam Sultana, In Su Kim, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

2019

Deep neural network concepts for background subtraction: A systematic review and comparative evaluation.

Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung

Neural Networks, 2019

Unsupervised deep context prediction for background estimation and foreground segmentation.

Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung

Mach. Vis. Appl., 2019

Illumination Invariant Foreground Object Segmentation using ForeGANs.

Maryam Sultana, Soon Ki Jung

CoRR, 2019

Complete Moving Object Detection in the Context of Robust Subspace Learning.

Maryam Sultana, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Unsupervised RGBD Video Object Segmentation Using GANs.

Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung

CoRR, 2018

Unsupervised Deep Context Prediction for Background Foreground Separation.

Maryam Sultana, Arif Mahmood, Sajid Javed, Soon Ki Jung

CoRR, 2018

2017

Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition.

Maryam Sultana, Muhammad Naeem Bhatti, Sajid Javed, Soon-Ki Jung

J. Electronic Imaging, 2017

Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA.

Sajid Javed, Thierry Bouwmans, Maryam Sultana, Soon Ki Jung

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2017, 2017