| 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 | 431 | 2019 |
| 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 | 87 | 2019 |
| 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 | 44 | 2021 |
| 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 | 41 | 2017 |
| Unsupervised moving object detection in complex scenes using adversarial regularizations M Sultana, A Mahmood, SK Jung IEEE Transactions on Multimedia 23, 2005-2018, 2020 | 39 | 2020 |
| 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 | 36 | 2022 |
| 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 | 17 | 2020 |
| Unsupervised rgbd video object segmentation using gans M Sultana, A Mahmood, S Javed, SK Jung arXiv preprint arXiv:1811.01526, 2018 | 16 | 2018 |
| Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search M Sultana, A Mahmood, SK Jung Pattern Recognition 129, 108719, 2022 | 13 | 2022 |
| 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 | 13 | 2020 |
| 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 | 12 | 2019 |
| Moving objects segmentation using generative adversarial modeling M Sultana, A Mahmood, T Bouwmans, MH Khan, SK Jung Neurocomputing 506, 240-251, 2022 | 11 | 2022 |
| 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 | 11 | 2017 |
| Unsupervised deep context prediction for background foreground separation M Sultana, A Mahmood, S Javed, SK Jung arXiv preprint arXiv:1805.07903, 2018 | 7 | 2018 |
| Credal learning theory M Caprio, M Sultana, E Elia, F Cuzzolin arXiv preprint arXiv:2402.00957, 2024 | 6 | 2024 |
| 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 | 5 | 2021 |
| 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 | 5 | 2021 |
| Illumination invariant foreground object segmentation using ForeGANs M Sultana, SK Jung arXiv preprint arXiv:1902.03120, 2019 | 2 | 2019 |
| Deep matting for ar based interior design M Sultana, IS Kim, SK Jung Frontiers of Computer Vision: 26th International Workshop, IW-FCV 2020 …, 2020 | 1 | 2020 |
| System and method for self-distilled vision transformer for domain generalization M Sultana, MM Naseer, MH Khan, S Khan, FS Khan US Patent App. 18/084,152, 2024 | | 2024 |
Soon Ki JungProfessor of Computer Science and Engineering, Kyungpook National UniversityVerificeret mail på knu.ac.kr