Hicham Sekkati

Post Doctorate Fellow (Candidate)

Short biography

I am currently a postdoc at VIP lab, University of Waterloo, ON. I recieved both my M.Sc. and Ph.D in computer sciences at Institut National de la Recherche Scientifique, Montreal, QC, in 2003 and 2005, respectively. I was a postdoc in computer science/computer engineering at University of Miami, FL, University of Ottawa, ON, and Ecole Polytechnique de Montreal, QC, in 2005, 2011, and 2012, respectively. From 2007 to 2010, I filled a key position in a startup company (SPGDATA 3D) as computer vision researcher/Technical Director. I also filled an R&D position in game industry as computer vision scientist between 2012 and 2015. 


Alexander WongDavid A. Clausi

Research interests

My primary research interests lie in visual scene understanding. I am mainly concerned with solving problems arising in visual perception and action recognition, which are key components in many vision applications such as surveillance, robot guidance, multi-modal image interpretation, remote sensing, and visual field monitoring. I also focus my attention on the processing of optical/sonar images for underwater vision applications. Recently I’ve had a chance to explore many aspects falling at the edges between computer vision, computer graphics, and machine learning, such as performance-based animation, procedural animation, shape descriptors and spectral geometry for shape analysis.

Research topics

Computer Vision

Image Segmentation/Classification

Scientific Imaging

Stochastic Models

Video Analysis


Journal papers

  • H. Sekkati and S. Negahdaripour, “Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target Reconstruction”, IEEE Transactions on Image Processing, vol. 18, issue 6, pp. 1203-1214, 2009.
  • H. Sekkati and A. Mitiche, “Concurrent 3D-motion segmentation and 3D interpretation of temporal sequences of monocular images”, IEEE Trans. on Image Processing, vol. 15, n◦ 3, pp. 641-653, 2006.
  • H. Sekkati and A. Mitiche, “Dense 3D Interpretation of Monocular Image Sequences: A Boundary Preserving Variational Approach Using Anisotropic Diffusion”, International Journal of Au­tomation, Robotics and Autonomous Systems, vol. 55, n 7, 597-607, 2007.
  • Mitiche and H. Sekkati, “Optical flow 3D segmentation and interpretation: A variational method with active curve evolution and level sets”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 28., n◦ 11, pp. 1818-1829, 2006.
  • H. Sekkati and A. Mitiche, “Join optical flow estimation, segmentation, and 3D interpretation with level sets”, Special issue of CVIU commemorating the career of Prof. Azriel Rosenfeld. vol. 103., n◦ 2, pp. 89-100, 2006.

Conferences with committee

  • H.Sekkati, R.Laganiere, and A. Mitiche "Robust background subtraction using geodesic active contours in ICA Subspace for video surveillance applications", Ninth Conference on Computer and Robot Vision (CRV 2012).
  • A. S. Montero, H.Sekkati, J. Lang, and R.Laganiere "Framework for Natural Landmark-based Robot Localization", Ninth Conference on Computer and Robot Vision (CRV 2012).
  • S. Negahdaripour and H. Sekkati and H. Pirsiavash, “Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction”, IEEE International Workshop on: Beyond Multiview Geometry: Robust Estimation and Organization of Shapes from Multiple Cues 2007, Minneapolis, USA.
  • H. Sekkati and S. Negahdaripour, “3-D Motion Estimation for Positioning with 2-D Acoustic Video Imaging Systems”, The third Iberian Conference on Pattern Recognition and Image Analysis, 2007, Girona, Spain.
  • H. Pirsiavash, H. Sekkati and S. Negahdaripour, “Integration of Motion Cues in Optical and Acoustic Videos for 3-D Positioning”, the second international ISPRS workshop, held with IEEE CVPR 2007, Minneapolis, USA.
  • H. Sekkati and S. Negahdaripour, “Direct and Indirect 3-D Reconstruction from Opti-Acoustic Stereo Imaging”, Third International Symposium on 3D Data Processing, Visualization and Transmission, Chapel Hill, USA, June 14-16, 2006.
  • H. Sekkati and A. Mitiche, “Joint Dense 3D Interpretation and Multiple Motion Segmentation of Temporal Image Sequences: A Variational Framework with Active Curve Evolution and Level Sets”, IEEE International Conference on Image Processing (special issue ICIP 2004), Singapour, 2004.
  • H. Sekkati and A. Mitiche, “Dense 3D Interpretation of Image Sequences: A variational approach using anisotropic diffusion”, IEEE Computer Society Press in the proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), Mantova, Italy, 2003. 
University of Waterloo

Profiles by type