Maryam Sultana

Kyungpook National University

H-index: 10

Asia-South Korea

About Maryam Sultana

Maryam Sultana, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at Kyungpook National University, specializes in the field of Computer Vision, Machine Learning, Deep Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Credal learning theory

Moving objects segmentation using generative adversarial modeling

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

Self-distilled vision transformer for domain generalization

Occlusion-Free Foreground Objects Segmentation via Generative Adversarial Learning

Robust foreground segmentation in RGBD data from complex scenes using adversarial networks

The emerging field of graph signal processing for moving object segmentation

Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods

Maryam Sultana Information

University	Kyungpook National University
Position	Postdoctoral Researcher School of Computer Science and Engineering
Citations(all)	645
Citations(since 2020)	635
Cited By	202
hIndex(all)	10
hIndex(since 2020)	9
i10Index(all)	10
i10Index(since 2020)	9
Email	Access Email
University Profile Page	Kyungpook National University
Google Scholar	View Google Scholar Profile

Maryam Sultana Skills & Research Interests

Computer Vision

Machine Learning

Deep Learning

Artificial Intelligence

Top articles of Maryam Sultana

Title	Journal	Author(s)	Publication Date
Credal learning theory	arXiv preprint arXiv:2402.00957	Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin	2024/2/1
Moving objects segmentation using generative adversarial modeling	Neurocomputing	Maryam Sultana Arif Mahmood Thierry Bouwmans Muhammad Haris Khan Soon Ki Jung	2022/9/28
Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search	Pattern Recognition	Maryam Sultana Arif Mahmood Soon Ki Jung	2022/9/1
Self-distilled vision transformer for domain generalization		Maryam Sultana Muzammal Naseer Muhammad Haris Khan Salman Khan Fahad Shahbaz Khan	2022
Occlusion-Free Foreground Objects Segmentation via Generative Adversarial Learning	한국정보과학회 학술발표논문집	Maryam Sultana Sang Bin Yun Soon Ki Jung	2021/6
Robust foreground segmentation in RGBD data from complex scenes using adversarial networks		Maryam Sultana Thierry Bouwmans Jhony H Giraldo Soon Ki Jung	2021/2/22
The emerging field of graph signal processing for moving object segmentation		Jhony H Giraldo Sajid Javed Maryam Sultana Soon Ki Jung Thierry Bouwmans	2021/2/22
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	2021
Unsupervised moving object detection in complex scenes using adversarial regularizations	IEEE Transactions on Multimedia	Maryam Sultana Arif Mahmood Soon Ki Jung	2020/7/3
Unsupervised adversarial learning for dynamic background modeling		Maryam Sultana Arif Mahmood Thierry Bouwmans Soon Ki Jung	2020/2/20
Deep matting for ar based interior design		Maryam Sultana In Su Kim Soon Ki Jung	2020
Dynamic background subtraction using least square adversarial learning		Maryam Sultana Arif Mahmood Thierry Bouwmans Soon Ki Jung	2020/10/25