Publications in collaboration with researchers from Queen Mary University of London (12)

2017

  1. An efficient video super-resolution approach based on sparse representation

    2017 IEEE 19th International Workshop on Multimedia Signal Processing, MMSP 2017

  2. UHD Video Super-Resolution Using Low-Rank and Sparse Decomposition

    Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017

2016

  1. Dynamic tree-structured sparse RPCA via column subset selection for background modeling and foreground detection

    Proceedings - International Conference on Image Processing, ICIP

2015

  1. Efficient background subtraction with low-rank and sparse matrix decomposition

    Proceedings - International Conference on Image Processing, ICIP

2009

  1. A spectral technique for image clustering

    2009 International Conference on Ultra Modern Telecommunications and Workshops

2008

  1. A comparison between two robust techniques for segmentation of blood vessels

    Computers in Biology and Medicine, Vol. 38, Núm. 8, pp. 931-940

2004

  1. Numerical stability of nystrom extension for image segmentation

    Machine Learning for Signal Processing XIV - Proceedings of the 2004 IEEE Signal Processing Society Workshop

2003

  1. An Ill-Posed Operator for Secure Image Authentication

    IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, Núm. 8, pp. 842-852

  2. Estimating the essential matrix by efficient linear techniques

    IEEE Transactions on Circuits and Systems for Video Technology, Vol. 13, Núm. 9, pp. 925-935

2001

  1. A novel linear technique to estimate the epipolar geometry

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  2. Improving efficiency of linear techniques to estimate epipolar geometry

    Electronics Letters, Vol. 37, Núm. 15, pp. 952-954

2000

  1. Video-based camera registration for augmented reality

    Proceedings of the International Conference on Information Visualisation