Nguyen Xuan Son

Nguyen Xuan Son

Associate Professor at ENSEA

About Me

I am an associate professor at ENSEA graduate school, France. I received my PhD in computer science at Paris 6, France. I was a postdoctoral researcher at INRIA Nancy - Grand Est, France and at GREYC, France. I was also a member of the CEA LIST Vision and Learning Lab for Scene Analysis, Paris-Saclay, France.

I am conducting research in the field of artificial intelligence. In my works, I use the theory of Lie groups, Riemannian geometry, differential geometry in order to build deep neural networks in non-Euclidean spaces. In general, I am passionate about applied mathematics for artificial intelligence.

Outside of research, I enjoy teaching computer programming to my kids and learning foreign languages.

News

  • 15 January 2024: One paper accepted to ICLR 2024
  • 24 April 2023: One paper accepted to ICML 2023
  • 14 September 2022: One paper accepted to NeurIPS 2022 (Oral)
  • 9 July 2022: One paper accepted to ECCV 2022.
  • 22 July 2021: One paper accepted to ICCV 2021.
  • 2 March 2019: One paper accepted to CVPR 2019.









PUBLICATIONS

Journal papers

  1. Nguyen, T.P. and Nguyen, X.S. and Borgi M.A.. and Nguyen, M.K.. “A Projection Based Method for Shape Measurement”. Journal of Mathematical Imaging and Vision, Vol. 62 N°. 4, pp. 489-504, 2020.
  2. Nguyen, T.T. and Nguyen, T.P. and Bouchara, F. and Nguyen, X.S. “Momental Directional Patterns for Dynamic Texture Recognition”. Computer Vision and Image Understanding, Vol. 194, pp. 102882, 2020.
  3. Nguyen, T.T. and Nguyen, T.P. and Bouchara, F. and Nguyen, X.S. “Momental Directional Patterns for Dynamic Texture Recognition”. Computer Vision and Image Understanding, Vol. 194, pp. 102882, 2020.
  4. Nguyen, X.S. and Mouaddib, A.-I. and Nguyen, T.P., and Jeanpierre, L. “Action Recognition in Depth Videos Using Hierarchical Gaussian Descriptor”. Multimedia Tools and Applications, Vol. 77 N°. 16, pp. 21617-21652, 2018.
  5. Nguyen, T.P. and Nguyen, X.S. “Shape measurement using LIP-signature”. Computer Vision and Image Understanding, Vol 171, pp. 83-94, 2018.
  6. Nguyen, X.S. and Nguyen, T.P. and Charpillet, F. and Vu, N-S. “Local Derivative Pattern for Action Recognition in Depth Images”. Multimedia Tools and Applications, Vol. 76, pp. 1-19, 2017.
  7. Nguyen, T.P. and Manzanera, A. Kropatsch, W.G. and Nguyen, X.S. “Topological Attribute Patterns for Texture Recognition”. Pattern Recognition Letters, Vol. 80, pp. 91-97, 2016.
  8. Dubuisson, S. and Gonzales, C. and Nguyen, X.S. “Sub-sample swapping for Sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking”. International Journal of Approximate Reasoning, Vol. 54 N°. 7, pp. 934-953, 2013.

Conference papers

  1. Nguyen, X.S. “A Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix Learning”. European Conference on Computer Vision (ECCV), pp 52-68, 2022.
  2. Nguyen, X.S. “The Gyro-Structure of Some Matrix Manifolds”. Conference on Neural Information Processing Systems (NeurIPS), 2022.
  3. Nguyen, X.S. “GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition”. IEEE International Conference on Computer Vision (ICCV), pp 13359-13369, 2021.
  4. Nguyen, X.S. and Brun, L. and Lézoray, O. and Bougleux, S. “A Neural Network Based on SPD Manifold Learning for Skeleton-based Hand Gesture Recognition”. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 12036-12045, 2019.
  5. Nguyen, X.S. and Brun, L. and Lézoray, O. and Bougleux, S. “Skeleton-based Hand Gesture Recognition by Learning SPD Matrices with Neural Networks”. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp 1-5, 2019.
  6. Nguyen, T.T. and Nguyen, T.P. and Bouchara, F. and Nguyen, X.S. “Directional Beams of Dense Trajectories for Dynamic Texture Recognition”. Advanced Concepts for Intelligent Vision Systems, pp 74-86, 2018.
  7. Nguyen, X.S. and Nguyen, T.P. and Charpillet, F. “Effective Surface Normals Based Action Recognition in Depth Images”. International Conference on Pattern Recognition (ICPR), pp. 817-822, 2016.
  8. Nguyen, X.S. and Nguyen, T.P. and Charpillet, F. “Improving Surface Normals Based Action Recognition in Depth Images”. International Conference on Advanced Video and Signal-Based Surveillance, pp. 109-114, 2016.
  9. Nguyen, X.S. “Swapping-based Annealed Particle Filter with Occlusion Handling for 3D Human Body Tracking”. International Conference on Computer Vision Theory and Application(VISAPP), pp. 576-583, 2014.
  10. Nguyen, X.S. and Dubuisson, S. and Gonzales, C. “Hierarchical Annealed Particle Swarm Optimization for Articulated Object Tracking”. International Conference on Computer Analysis and Patterns (CAIP), pp. 1-8, 2013.
  11. Dubuisson, S. and Gonzales, C. and Nguyen, X.S. “DBN-Based Combinatorial Resampling for Articulated Object Tracking”. Conference on Uncertainty in Artificial Intelligence (UAI), pp. 237-246, 2012.
  12. Gonzales, C. and Dubuisson, S. and Nguyen, X.S. “Simultaneous Partitioned Sampling for articulated object tracking”. Proceedings of Advanced Concepts for Intelligent Vision Systems (ACIVS), pp. 150-161, 2011.
  13. Dubuisson, S. and Gonzales, C. and Nguyen, X.S. “Swapping-Based Partitioned Sampling for better complex density estimation: application to articulated object tracking”. Proceedings of the 5th International Conference on Scalable Uncertainty Management (SUM), pp. 525-538, 2011.