activity
20182025
most citedD-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation

45 citations · 71 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

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…

cs.CV2024★ 1 cited

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…

eess.IV2024★ 45 cited

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…

cs.CV2023★ 3 cited

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…

cs.LG2019

Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues

Youssef Mourchid, Benjamin Renoust, Olivier Roupin +3

Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for thi…

cs.CV2019★ 22 cited

A General Framework for Complex Network-Based Image Segmentation

Youssef Mourchid, Mohammed El Hassouni, Hocine Cherifi

With the recent advances in complex networks theory, graph-based techniques for image segmentation has attracted great attention recently. In order to segment the image into meanin…

cs.SI2018

Multilayer Network Model of Movie Script

Youssef Mourchid, Benjamin Renoust, Hocine Cherifi +1

Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social netwo…