A) School of Computer Science and Engineering - Kyungpook National University - Republic of Korea
1. Sajid Javed (co-supervised with Prof. Soon Ki Jung)
Chapter (1)
S. Javed, S. Oh, T. Bouwmans, S. Jung, "Stochastic RPCA for Background/Foreground Separation", Handbook on "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing", CRC Press, Taylor and Francis Group, May 2016. [pdf]
Journal (4)
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, "Background-Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering", IEEE Transactions on Image Processing, September 2017. [pdf][Cited by]
T. Bouwmans, A. Sobral, S. Javed, S. Jung, E. Zahzah, "Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset", Computer Science Review, Volume 23, pages 1-71, February 2017.
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, “Spatiotemporal Low-rank Modeling for Complex Scene Background Initialization", IEEE Transactions on Circuits and Systems for Video Technology, 2016. [Project page] [Presentation][pdf][Cited by]
S. Javed, S. Oh, T. Bouwmans, S. Jung, "Robust Background Subtraction to Global Illumination Changes via Multiple Features based OR-PCA with MRF", Journal of Electronic Imaging, 2015. [Project page] [Presentation][pdf][Cited by]
Conference (12)
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, "Superpixels based Manifold Structured Sparse RPCA for Moving Object Detection", International Workshop on Activity Monitoring by Multiple Distributed Sensing, BMVC 2017, London, UK, September 2017. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, M. Sultana, S. Jung, "Moving Object Detection on RGB-D Videos using Graph Regularized Spatiotemporal RPCA", International Workshop on Background learning for detection and tracking from RGBD videos, ICIAP 2017, Catani, Italy, September 2017. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, S. Jung, “Improving OR-PCA via Smoothed Spatially-Consistent Low-rank Modeling for Background Subtraction”, ACM Symposium on Applied Computing, SAC 2017, 2017. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, S. Jung, “SBMI-LTD: Stationary Background Model Initialization based on Low-rank Tensor Decomposition”, ACM Symposium on Applied Computing, SAC 2017, 2017. [Project page] [Presentation][pdf][Cited by]
S. Javed, A. Mahmood, T. Bouwmans, S. Jung, "Motion-Aware Graph Regularized RPCA for Background Modeling of Complex Scenes", Scene Background Modeling Contest, International Conference on Pattern Recognition, ICPR 2016, December 2016. [Project page] [Presentation][pdf][Cited by]
S. Javed, S. Oh, A. Sobral, T. Bouwmans, S. Jung, "Background Subtraction via Superpixel-based Online Matrix Decomposition with Structured Foreground Constraints", Workshop on Robust Subspace Learning and Computer Vision, ICCV 2015, Santiago, Chile, December 2015. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, S. Jung, “Combining ARF and OR-PCA Background Subtraction of Noisy Videos”, International Conference in Image Analysis and Applications, ICIAP 2015, Genova, Italy, September 2015. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, S. Jung, “Stochastic Decomposition into Low Rank and Sparse Tensor for Robust Background Subtraction”, ICDP 2015, July 2015. [Project page] [Presentation][pdf][Cited by]
S. Javed, T. Bouwmans, S. Jung, "Depth Extended Online RPCA with Spatiotemporal Constraints for Robust Background Subtraction", Korea-Japan Workshop on Frontiers of Computer Vision, FCV 2015, Mokpo, South Korea, January 2015. [Project page] [Presentation][pdf][Cited by]
S. Javed, A. Sobral, T. Bouwmans, S. Jung, "OR-PCA with Dynamic Feature Selection for Robust Background Subtraction", ACM Symposium On Applied Computing, SAC 2015, Salamanca, Spain, April 2015. [Project page] [Presentation][pdf][Cited by]
S. Javed, A. Sobral, S. Oh, T. Bouwmans, S. Jung, “OR-PCA with MRF for Robust Foreground Detection in Highly Dynamic Backgrounds”, Asian Conference on Computer Vision, ACCV 2014, Singapore, November 2014. [Project page] [Presentation][pdf][Cited by]
2. Maryam Sultana (co-supervised with Prof. Soon Ki Jung)
Journal (1)
T. Bouwmans, S. Javed, M. Sultana, S. Jung, “Deep Neural Network Concepts in Background Subtraction: A Systematic Review and A Comparative Evaluation”, Neural Networks, Volume 117, pages 7-66, September 2019.
Conference (1)
M. Sultana, A. Mahmood, T. Bouwmans, S. Jung, "Complete Moving Object Detection in the Context of Robust Subspace Learning", Third Workshop on Robust Subspace Learning and Computer Vision, ICCV 2019, Seoul, South Korea, October 2019.
B) University of Sfax - Tunisia
Sirine Ammar (co-supervised with Prof. Mahmoud Neji)
Chapter (1)
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "From Moving Objects Detection to Classification and Recognition : A Review for Smart Environments", Part 4, Chapter 4, Handbook on "Towards Smart World: Homes to Cities using Internet of Things", Edited by L. Sharma, CRC Press, Taylor and Francis Group, 2020.
Journal (1)
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "A Deep Detector Classifier (DeepDC) for moving objects segmentation and classification in video surveillance", IET Image Processing, 2020.
Conference (2)
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, “Towards an Effective Approach for Face Recognition with DCGANs Data Augmentation”, International Symposium on Visual Computing, ISVC 2020, San Diego, USA, October 2020 .
S. Ammar, T. Bouwmans, N. Zaghden, M. Neji, "Moving Objects Segmentation Based on DeepSphere in Video Surveillance", International Symposium on Visual Computing, ISVC 2019, Tahoe City, USA, October 2019.