Faten Chaieb

KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition

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 pre-processed data...

Geometric Deep Neural Network using Rigid and Non-Rigid Transformations for Human Action Recognition

A Novel Adaptive Hybrid AI Deployment for Virtual Try-On Applications in 5G-Edge Networks

Implant trajectory estimation during femoral screw-plate osteosynthesis operation

KENDALL-ROFT: Kendall's Shape Analysis with Rigid Transformation and Optical Flow for Transformation-Based Micro-expression Recognition

A New Multi-resolution Affine Invariant Planar Contour Descriptor

A Multiscale Circum-ellipse Area Representation for Planar Shape Retrieval

Geometric Deep Learning on Skeleton Sequences for 2D/3D Action Recognition

Complete and Stable Projective Harmonic InvariantS for Planar Contours Recognition

A Deep Learning-Based Framework for Racket Sports Court Registration

Active Learning with Unfiltered Informativeness Technique for Object Detection

Progressive edge-preserving depth maps coding based on sparse representation

Low-Density 3D Point Cloud Classification

Decision-Making Approach for Early Plant Stress Detection from Hyperspectral Images

3D Gait Recognition based on Functional PCA on Kendall's Shape Space

Moving Shadow Detection with Support Vector Domain Description in the Color Ratios Space

A Novel Lightweight Deep-Learning Offloading Scheme for Try-On in 5G-Edge Network

A Novel Multi-User Deep-Learning Offloading Scheme for Virtual Try-On in 5G-Edge Networks