output
20182026
most citedD-STGCNT: A Dense Spatio-Temporal Graph Conv-GRU Network based on transformer for assessment of patient physical rehabilitation

45 citations

9 papers

cs.CV2026★ 1 cited

Impact Detection in Fall Events: Leveraging Spatio-Temporal Graph Convolutional Networks and Recurrent Neural Networks Using 3D Skeletons Data

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Fall represents a significant risk of accidental death among individuals aged over 65, presenting a global health concern. A fall is defined as any event where a person loses balan…

cs.CV2026★ 1 cited

DistillH-Mamba: A Hypergraph-Mamba-Based Knowledge Distillation Model for Efficient Impact Fall Detection

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Falls among the elderly represent a significant public health concern due to their prevalence, consequences, and societal burden. While deep learning has improved fall detection, a…

cs.CV2025

Kinetic Mining in Context: Few-Shot Action Synthesis via Text-to-Motion Distillation

Luca Cazzola, Ahed Alboody

The acquisition cost for large, annotated motion datasets remains a critical bottleneck for skeletal-based Human Activity Recognition (HAR). Although Text-to-Motion (T2M) generativ…

cs.CV2025

Online hand gesture recognition using Continual Graph Transformers

Rim Slama, Wael Rabah, Hazem Wannous

Online continuous action recognition has emerged as a critical research area due to its practical implications in real-world applications, such as human-computer interaction, healt…

cs.AI2025★ 2 cited

CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition

Nessrine Farhat, Amine Bohi, Leila Ben Letaifa +1

The field of affective computing has seen significant advancements in exploring the relationship between emotions and emerging technologies. This paper presents a novel and valuabl…

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…

eess.SP2024★ 5 cited

Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data

Tresor Y. Koffi, Youssef Mourchid, Mohammed Hindawi +1

Falls among individuals, especially the elderly population, can lead to serious injuries and complications. Detecting impact moments within a fall event is crucial for providing ti…

cs.CV2022★ 4 cited

SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving

Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar +4

Surround-view cameras are a primary sensor for automated driving, used for near-field perception. It is one of the most commonly used sensors in commercial vehicles primarily used…

cs.DL2018

Metadata Enrichment of Multi-Disciplinary Digital Library: A Semantic-based Approach

Hussein T. Al-Natsheh, Lucie Martinet, Fabrice Muhlenbach +2

In the scientific digital libraries, some papers from different research communities can be described by community-dependent keywords even if they share a semantically similar topi…