When geometry meets deep neural networks! Check out and explore our
Our paper "Geometric ConvNets on 3D Shape Manifold for Gait Recognition" accepted for oral presentation at the International Workshop on Differential Geometry in Computer Vision and Machine Learning (DiffCVML, in conjonction with CVPR 2020).
Congratulations to my PhD student Nadia Hosni (April 2020).
We will be presenting our work "Functional PCA on shape space for gait analysis and assessment" at CMStatistics2019 (London, 14-16 December), Full program: http://www.cmstatistics.org/CMStatistics2019/fullprogramme.php
We will be presenting 2 papers @RFMI'2019 workshop) http://www.arts-pi.org.tn/rfmi2019/), December 11-13, Tunis, Tunisia.
Our paper "A Framework for Interpretable Full-Body Kinematic Description using Geometric and Functional Analysis", by B. Ben Amor, A. Srivastava, P. Turaga and G. Coleman, accepted for publication by the IEEE Transactions on Biomedical Engineering T-BME (September 2019).
Our paper "Sparse Coding of Shape Trajectoires for Facial Expression and Action Recognition" by A. Ben Tanfous, H. Drira and B. Ben Amor accepted as REGULAR paper by the IEEE Transactions on Pattern Analysis and Machine Intelligence T-PAMI (SI: RGB-D Vision) (July 2019).
The proceedings of RFMI'2017 published in the CCIS Series of Springer.
Eds.: Liming Chen, Boulbaba Ben Amor and Faouzi Ghorbel.
Our paper "A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding", by A Kacem, M. Daoudi, B. Ben Amor, S. Berretti and JC Alvarez-paiva is accepted for publication as regular paper in IEEE Transactions on Pattern Analysis and Machine Intelligence T-PAMI (August 2018).
Our paper entitled "DeepColorFASD: Face Anti Spoofing Solution using a Multi Channel Color Spaces CNN" has been accepted in IEEE SMC'2018. The work received the support of the PHC Utique DEFI (June 2018).
Our paper "3D Gait Recognition based on Functional PCA on Kendall's Shape Space" by my PhD student N. Hosni is accepted (oral presentation - sélection rate 10%) at ICPR'2018. The work received the support of the PHC Utique DEFI.
Our paper “Coding Kendall's Shape Trajectories for 3D Action Recognition” by my PhD student A. Ben Tanfous accepted in IEEE CVPR’2018 (rank A*).
Our paper “A Novel Space-Time Representation on the Positive Semidefinite Cone for Facial Expression Recognition” by my PhD student A. Kacem published in the proceedings of IEEE ICCV’2017 (rank A*).
Our paper “Joint Gender, Ethnicity and Age Estimation from 3D Faces: An Experimental Illustration of Their Correlation” by my former PhD student B. Xia published in Image and Vision Computing (IVC, 2017).
Our paper “Magnifying Subtle Facial Motions for Effective 4D Expression Recognition” output of a fruitful collaboration with researchers from Beihang University published in the IEEE Trans. on Affective Computing (T-AC, 2016).
Publication of the Proceedings of RFMI’2016 in the CCIS Series of Springer (Edr. B. Ben Amor, F. Chaieb and F. Ghorbel). The workshop is endorsed by the IAPR.
IAPR Newsletter (pp.25-26): link
Our paper “A Grassmann framework for 4D facial shape analysis” by my former PhD student T. Alashkar published in Pattern Recognition (PR, 2017).
Our paper “Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds” by my former PhD student T. Alashkar published in the IEEE Trans. on Affective Computing (T-AC, 2016).
Our paper “Action recognition using rate-invariant analysis of skeletal shape trajectories” published in the IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI, 2016).
Our paper “A Grassmann framework for 4D facial shape analysis” by my PhD student T. Alashkar published in Pattern Recognition (PR, 2016).