Selected Publications

In this paper, we study the problem of facial expression recognition using a novel space-time geometric representation. We describe the temporal evolution of facial landmarks as parametrized trajectories on the Riemannian manifold of positive semidefinite matrices of fixed-rank.
In ICCV 2017, 2017.

In IEEE Trans. Cybernetics, 2015, 2015.

In IEEE Trans. Pattern Anal. Mach. Intell., 2013, 2013.

In IEEE Transactions on Information Forensics and Security, 2012, 2012.

In IEEE Trans. Pattern Anal. Mach. Intell., 2006, 2006.

Recent Publications

More Publications

Representation, Analysis and Recognition of 3D Humans: A Survey

Details PDF Slides Video Code Dataset Project Custom Link

A Novel Space-Time Representation on the Positive Semidefinite Con for Facial Expression Recognition

Details PDF Slides Video Code Dataset Project Custom Link

Analyzing of Facial Paralysis by Shape Analysis of 3D Face Sequences

Details PDF Slides Video Code Dataset Project Custom Link

Joint Gender, Ethnicity and Age Estimation from 3D Faces - An Experimental Illustration of their Correlations

Details PDF Slides Video Code Dataset Project Custom Link

Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices

Details PDF Slides Video Code Dataset Project Custom Link

3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold

Details PDF Slides Video Code Dataset Project Custom Link

Accurate 3D action recognition using learning on the Grassmann manifold

Details PDF Slides Video Code Dataset Project Custom Link

3D Face Recognition under Expressions, Occlusions, and Pose Variations

Details PDF Slides Video Code Dataset Project Custom Link

Boosting 3-D-geometric features for efficient face recognition and gender classification

Details PDF Slides Video Code Dataset Project Custom Link

A Bayesian 3-D Search Engine Using Adaptive Views Clustering

Details PDF Slides Video Code Dataset Project Custom Link

Recent & Upcoming Talks

Recent Posts

Nos expressions faciales passées au crible algorithmique, https://blogrecherche.wp.imt.fr/2017/11/20/expressions-faciales-algorithmes/

CONTINUE READING

October 2017: We orgnize, the Workshop of Manifold learning: from Euclid to Riemannan at ICCV 2017, Venice, Italy

CONTINUE READING

We will host IEEE Int. Conference on Automatic Face and Gesture Recognition 2019 in Lille, Mohamed Daoudi is a General co-Chair.

CONTINUE READING

4D Imaging For Evaluating Facial Paralysis Treatment, https://blogrecherche.wp.imt.fr/en/2017/07/06/4d-imaging-paralysis-treatment/

CONTINUE READING

Projects

Teaching

I am teaching the following courses at IMT Lille Douai and University of Lille1:

  • Deep Learning and computer vision
  • Data Structures in C Language
  • Stochastic process and queue theory

Tags

Contact