205 citations · 237 across the 6 of their papers we have counts for
6 papers · 1 filter
Depth as Attention for Face Representation Learning
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan +1
Face representation learning solutions have recently achieved great success for various applications such as verification and identification. However, face recognition approaches t…
View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations
Alireza Sepas-Moghaddam, Ali Etemad
Gait recognition refers to the identification of individuals based on features acquired from their body movement during walking. Despite the recent advances in gait recognition wit…
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje +1
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camer…
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan +1
With recent advances in RGB-D sensing technologies as well as improvements in machine learning and fusion techniques, RGB-D facial recognition has become an active area of research…
Face Recognition: A Novel Multi-Level Taxonomy based Survey
Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia
In a world where security issues have been gaining growing importance, face recognition systems have attracted increasing attention in multiple application areas, ranging from fore…
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition
Alireza Sepas-Moghaddam, Mohammad A. Haque, Paulo Lobato Correia +3
Face recognition has attracted increasing attention due to its wide range of applications, but it is still challenging when facing large variations in the biometric data characteri…