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Maryam Sultana
Maryam Sultana
Research Fellow, Oxford Brookes University, UK
Adresse e-mail validée de brookes.ac.uk - Page d'accueil
Titre
Citée par
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Année
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
T Bouwmans, S Javed, M Sultana, SK Jung
Neural Networks 117, 8-66, 2019
3742019
Unsupervised deep context prediction for background estimation and foreground segmentation
M Sultana, A Mahmood, S Javed, SK Jung
Machine Vision and Applications 30, 375-395, 2019
822019
Moving object detection on RGB-D videos using graph regularized spatiotemporal RPCA
S Javed, T Bouwmans, M Sultana, SK Jung
New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017
362017
The emerging field of graph signal processing for moving object segmentation
JH Giraldo, S Javed, M Sultana, SK Jung, T Bouwmans
International Workshop on Frontiers of Computer Vision, 31-45, 2021
302021
Unsupervised moving object detection in complex scenes using adversarial regularizations
M Sultana, A Mahmood, SK Jung
IEEE Transactions on Multimedia 23, 2005-2018, 2020
302020
Dynamic background subtraction using least square adversarial learning
M Sultana, A Mahmood, T Bouwmans, SK Jung
2020 IEEE International Conference on Image Processing (ICIP), 3204-3208, 2020
172020
Unsupervised rgbd video object segmentation using gans
M Sultana, A Mahmood, S Javed, SK Jung
arXiv preprint arXiv:1811.01526, 2018
142018
Unsupervised adversarial learning for dynamic background modeling
M Sultana, A Mahmood, T Bouwmans, SK Jung
International Workshop on Frontiers of Computer Vision, 248-261, 2020
132020
Self-distilled vision transformer for domain generalization
M Sultana, M Naseer, MH Khan, S Khan, FS Khan
Proceedings of the Asian Conference on Computer Vision, 3068-3085, 2022
112022
Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition
SKJ Maryam Sultana, Muhammad Naeem Ali Bhatti, Sajid Javed
J. of Electronic Imaging 26 (5), 053017, 2017
112017
Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search
M Sultana, A Mahmood, SK Jung
Pattern Recognition 129, 108719, 2022
92022
Complete moving object detection in the context of robust subspace learning
M Sultana, A Mahmood, T Bouwmans, S Ki Jung
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
92019
Unsupervised deep context prediction for background foreground separation
M Sultana, A Mahmood, S Javed, SK Jung
arXiv preprint arXiv:1805.07903, 2018
72018
Robust foreground segmentation in RGBD data from complex scenes using adversarial networks
M Sultana, T Bouwmans, JH Giraldo, SK Jung
International Workshop on Frontiers of Computer Vision, 3-16, 2021
52021
Moving objects segmentation using generative adversarial modeling
M Sultana, A Mahmood, T Bouwmans, MH Khan, SK Jung
Neurocomputing 506, 240-251, 2022
42022
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods
M Sultana, A Mahmood, T Bouwmans, MH Khan, SK Jung
Proceedings of the IEEE/CVF International Conference on Computer Vision, 181-188, 2021
22021
Illumination invariant foreground object segmentation using ForeGANs
M Sultana, SK Jung
arXiv preprint arXiv:1902.03120, 2019
22019
Credal learning theory
M Caprio, M Sultana, E Elia, F Cuzzolin
arXiv preprint arXiv:2402.00957, 2024
12024
Deep matting for ar based interior design
M Sultana, IS Kim, SK Jung
Frontiers of Computer Vision: 26th International Workshop, IW-FCV 2020 …, 2020
12020
Occlusion-Free Foreground Objects Segmentation via Generative Adversarial Learning
M Sultana, SB Yun, SK Jung
한국정보과학회 학술발표논문집, 929-931, 2021
2021
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