25 citations · 31 across the 6 of their papers we have counts for
6 papers
E2E-GNet: An End-to-End Skeleton-based Geometric Deep Neural Network for Human Motion Recognition
Mubarak Olaoluwa, Hassen Drira
Geometric deep learning has recently gained significant attention in the computer vision community for its ability to capture meaningful representations of data lying in a non-Eucl…
ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition
Rachid Reda Dokkar, Faten Chaieb, Hassen Drira +1
The Transformer architecture has gained significant popularity in computer vision tasks due to its capacity to generalize and capture long-range dependencies. This characteristic m…
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition
Qingkai Zhen, Di Huang, Yunhong Wang +3
In this paper, an effective pipeline to automatic 4D Facial Expression Recognition (4D FER) is proposed. It combines two growing but disparate ideas in Computer Vision -- computing…
KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition
Racha Friji, Hassen Drira, Faten Chaieb +2
Deep Learning architectures, albeit successful in most computer vision tasks, were designed for data with an underlying Euclidean structure, which is not usually fulfilled since pr…
Sparse Coding of Shape Trajectories for Facial Expression and Action Recognition
Amor Ben Tanfous, Hassen Drira, Boulbaba Ben Amor
The detection and tracking of human landmarks in video streams has gained in reliability partly due to the availability of affordable RGB-D sensors. The analysis of such time-varyi…
Gauge Invariant Framework for Shape Analysis of Surfaces
Alice Barbara Tumpach, Hassen Drira, Mohamed Daoudi +1
This paper describes a novel framework for computing geodesic paths in shape spaces of spherical surfaces under an elastic Riemannian metric. The novelty lies in defining this Riem…