4 papers
DynSTG-Mamba: Dynamic Spatio-Temporal Graph Mamba with Cross-Graph Knowledge Distillation for Gait Disorders Recognition
Zakariae Zrimek, Youssef Mourchid, Mohammed El Hassouni
Gait disorder recognition plays a crucial role in the early diagnosis and monitoring of movement disorders. Existing approaches, including spatio-temporal graph convolutional netwo…
D-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation
Youssef Mourchid, Rim Slama
This paper tackles the challenge of automatically assessing physical rehabilitation exercises for patients who perform the exercises without clinician supervision. The objective is…
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization
Youssef Mourchid, Marc Donias, Yannick Berthoumieu +1
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale…
A Framework for Building Point Cloud Cleaning, Plane Detection and Semantic Segmentation
Ilyass Abouelaziz, Youssef Mourchid
This paper presents a framework to address the challenges involved in building point cloud cleaning, plane detection, and semantic segmentation, with the ultimate goal of enhancing…