Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA. - Sajid Javed; Thierry Bouwmans; Maryam Sultana; Soon Ki Jung (ICIAP Workshops, 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)

Unsupervised Deep Context Prediction for Background Foreground Separation. - Maryam Sultana; Arif Mahmood; Sajid Javed; Soon Ki Jung (CoRR, 2018)

Unsupervised RGBD Video Object Segmentation Using GANs. - Maryam Sultana; Arif Mahmood; Sajid Javed; Soon Ki Jung (CoRR, 2018)

Complete Moving Object Detection in the Context of Robust Subspace Learning. - Maryam Sultana; Arif Mahmood; Thierry Bouwmans; Soon Ki Jung (ICCV Workshops, 2019)

Illumination Invariant Foreground Object Segmentation using ForeGANs. - Maryam Sultana; Soon Ki Jung (CoRR, 2019)

Unsupervised deep context prediction for background estimation and foreground segmentation. - Maryam Sultana; Arif Mahmood; Sajid Javed; Soon Ki Jung (Mach. Vis. Appl., 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)

Deep Matting for AR Based Interior Design. - Maryam Sultana; In Su Kim; Soon Ki Jung (IW-FCV, 2020)

Unsupervised Adversarial Learning for Dynamic Background Modeling. - Maryam Sultana; Arif Mahmood; Thierry Bouwmans; Soon Ki Jung (IW-FCV, 2020)

Dynamic Background Subtraction Using Least Square Adversarial Learning. - Maryam Sultana; Arif Mahmood; Thierry Bouwmans; Soon Ki Jung (ICIP, 2020)

The Emerging Field of Graph Signal Processing for Moving Object Segmentation. - Jhony H. Giraldo; Sajid Javed; Maryam Sultana; Soon Ki Jung; Thierry Bouwmans (IW-FCV, 2021)

Robust Foreground Segmentation in RGBD Data from Complex Scenes Using Adversarial Networks. - Maryam Sultana; Thierry Bouwmans; Jhony H. Giraldo; Soon Ki Jung (IW-FCV, 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 (ICCVW, 2021)

Unsupervised Moving Object Detection in Complex Scenes Using Adversarial Regularizations. - Maryam Sultana; Arif Mahmood; Soon Ki Jung (IEEE Trans. Multim., 2021)

Self-distilled Vision Transformer for Domain Generalization. - Maryam Sultana; Muzammal Naseer; Muhammad Haris Khan; Salman H. Khan 001; Fahad Shahbaz Khan (ACCV (2), 2022)

Moving objects segmentation using generative adversarial modeling. - Maryam Sultana; Arif Mahmood; Thierry Bouwmans; Muhammad Haris Khan; Soon Ki Jung (Neurocomputing, 2022)

Unsupervised moving object segmentation using background subtraction and optimal adversarial noise sample search. - Maryam Sultana; Arif Mahmood; Soon Ki Jung (Pattern Recognit., 2022)

Credal Learning Theory. - Michele Caprio; Maryam Sultana; Eleni Elia; Fabio Cuzzolin (NeurIPS, 2024)

Multimodal feature fusion for human activity recognition using human centric temporal transformer. - Samee Ullah Khan; Maryam Sultana; Sufyan Danish; Deepak Gupta; Norah Saleh Alghamdi; Suchang Woo; Dong-Gyu Lee; Sangtae Ahn (Eng. Appl. Artif. Intell., 2025)

Epistemic Wrapping for Uncertainty Quantification. - Maryam Sultana; Neil Yorke-Smith; Kaizheng Wang; Shireen Kudukkil Manchingal; Muhammad Mubashar; Fabio Cuzzolin (CoRR, 2025)