About me
I am a Joint PhD student on Human Pose Estimation (HPE) at CYU and VUB-ETRO. I gained my master degree at École Centrale de Nantes, then worked as a Computer Vision (CV) algorithm engineer for Luokung Tech, China. As an experienced programmer in Deep Leanring, I am familiar with frameworks of Pytorch and Tensorflow, and Python language.
Publications
Rethinking Diffusion for 3D Human Pose Estimation: Spatiotemporal Patchification and Adaptive Modulation
Published in 2026 IEEE International Conference on Image Processing (ICIP), 2026
Recommended citation: Yang, S., Jansen, B., Sahli, H., Nguyen, X.-S., & Histace, A. (2026). "Rethinking Diffusion for 3D Human Pose Estimation: Spatiotemporal Patchification and Adaptive Modulation." 2026 IEEE International Conference on Image Processing (ICIP). IEEE. https://doi.org/10.1109/ICIP61757.2026.11630088
TCR: Temporal Compression and Recovery for Efficient Video-Based 3D Human Pose Estimation
Published in ECCV 2026 Workshop on Human Scene Interaction (HSI), 1900
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ADGT: Enhancing 3D Human Pose Estimation with Attention-Driven Graph-Transformers
Published in Journal of Visual Communication and Image Representation, 2026
Recommended citation: Yang, S., Luu, A. T., Nguyen, X., Histace, A., Jansen, B., & Sahli, H. (2026). "ADGT: Enhancing 3D human pose estimation with attention-driven graph-transformers." Journal of Visual Communication and Image Representation, 118, Article 104829. https://doi.org/10.1016/j.jvcir.2026.104829
Neural Networks on Symmetric Spaces of Noncompact Type
Published in International Conference on Learning Representations (ICLR), 2025
Recommended citation: Nguyen, X. S., Yang, S., & Histace, A. (2025). "Neural Networks on Symmetric Spaces of Noncompact Type." International Conference on Learning Representations (ICLR). https://hal.science/hal-05330337v1/file/iclr2025_conference.pdf
Matrix Manifold Neural Networks++
Published in International Conference on Learning Representations (ICLR), 2024
Recommended citation: Nguyen, X. S., Yang, S., & Histace, A. (2024). "Matrix Manifold Neural Networks++." International Conference on Learning Representations (ICLR). https://openreview.net/forum?id=30aSE3FB3L
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Published in International Conference on Machine Learning (ICML), 2023
Recommended citation: Nguyen, X., & Yang, S. (2023). "Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach." In International Conference on Machine Learning, PMLR 202, 26031–26062. https://hal.science/hal-04357277v1/file/published_version.pdf