Faouzi Alaya Cheikh
Background and activities
Faouzi Alaya Cheikh is a Professor of computer science at NTNU.
Background
- BSc (Electronics) from the department of electrical engineering from ENIT, Tunisia, 1992
- MSc (Signal Processing) from the Department of Information Technology, TUT, 1997
- Dr. Tech. (Signal Processing) from the Department of Information Technology, TUT, 2004
- Worked as Associate Professor at Gjøvik University College, 2006–2015
- Worked as researcher at TUT, 1994-2006
- Worked as Electronics engineer at Société Tunisienne de l´Éléctricité et du Gaz, Sousse, Tunisia 1992-1993
Research Interests
His re-search interests include e-Learning, 3D imaging, image and video processing and analysis, video-surveillance, biometrics, video-guided intervention, and content-based retrieval. He is member of the Norwegian Colour and Visual Computing Laboratory (Colourlab)
Scientific, academic and artistic work
A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database
Journal publications
- (2020) Use of the IQRF Technology in Internet-of-Things-Based Smart Cities. IEEE Access.
- (2019) Blind Stereopair Quality Assessment Using Statistics of Monocular and Binocular Image Structures. Proceedings of IEEE international conference on image processing. vol. 2019-September.
- (2019) A survey of stereoscopic 3D just noticeable difference models. IEEE Access. vol. 7.
- (2019) Just Noticeable Difference Model for Asymmetrically Distorted Stereoscopic Images. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. vol. 2019-May.
- (2019) Oblique end face coupling optical fiber sensor for point fuel level measurement. Sensors and Actuators A-Physical. vol. 297.
- (2019) Reflected light intensity-modulated continuous liquid level sensor based on oblique end face coupling optical fibers. IEEE Sensors Journal.
- (2019) Road surface condition detection utilizing resonance frequency and optical technologies. Sensors and Actuators A-Physical. vol. 297.
- (2019) An Image Based Prediction Model for Sleep Stage Identification. Proceedings of IEEE international conference on image processing. vol. 2019-September.
- (2019) Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization. Proceedings of IEEE international conference on image processing. vol. 2019-September.
- (2019) Cross modality guided liver image enhancement of CT using MRI. European Workshop on Visual Information Processing. vol. 2019-October:8946196.
- (2019) GPU acceleration of liver enhancement for tumor segmentation. Computer Methods and Programs in Biomedicine. vol. 184.
- (2019) Efficient enhancement of stereo endoscopic images based on joint wavelet decomposition and binocular combination. IEEE Transactions on Medical Imaging. vol. 38 (1).
- (2019) Two stream model for crowd video classification. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble. IEEE Access. vol. 7.
- (2019) Stacked Lstm Network for Human Activity Recognition Using Smartphone Data. European Workshop on Visual Information Processing. vol. 2019-October.
- (2019) Multiscale deep desmoking for laparoscopic surgery. Progress in Biomedical Optics and Imaging. vol. 10949:109491Y.
- (2018) Efficient Enhancement of Stereo Endoscopic Images Based on Joint Wavelet Decomposition and Binocular Combination. IEEE Transactions on Medical Imaging. vol. 38 (1).
- (2018) Deep Smoke Removal from Minimally Invasive Surgery Videos. Proceedings of IEEE international conference on image processing.
- (2018) PedNet: A Spatio-Temporal Deep Convolutional Neural Network for Pedestrian Segmentation. Journal of Imaging. vol. 4 (9).
- (2018) A hierarchical feature model for multi-target tracking. Proceedings of IEEE international conference on image processing.