7 citations · 25 across the 9 of their papers we have counts for
9 papers
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Xuan Son Nguyen, Shuo Yang
Matrix manifolds, such as manifolds of Symmetric Positive Definite (SPD) matrices and Grassmann manifolds, appear in many applications. Recently, by applying the theory of gyrogrou…
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition
Xuan Son Nguyen
In this paper, we propose a novel method for representation and classification of two-person interactions from 3D skeleton sequences. The key idea of our approach is to use Gaussia…
Skeleton-Based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks
Xuan Nguyen, Luc Brun, Olivier Lezoray +1
In this paper, we propose a new hand gesture recognition method based on skeletal data by learning SPD matrices with neural networks. We model the hand skeleton as a graph and intr…
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
Xuan Son Nguyen, Luc Brun, Olivier Lézoray +1
This paper proposes a new neural network based on SPD manifold learning for skeleton-based hand gesture recognition. Given the stream of hand's joint positions, our approach combin…
DBN-Based Combinatorial Resampling for Articulated Object Tracking
Severine Dubuisson, Christophe Gonzales, Xuan Son NGuyen
Particle Filter is an effective solution to track objects in video sequences in complex situations. Its key idea is to estimate the density over the possible states of the object u…
Universality of coupled Potts models
Vl. S. Dotsenko, J. L. Jacobsen, X. S. Nguyen +1
We study systems of M Potts models coupled by their local energy density. Each model is taken to have a distinct number of states, and the permutational symmetry S_M present in the…