46 citations · 71 across the 4 of their papers we have counts for
6 papers · 1 filter
Multi-Perspective LSTM for Joint Visual Representation Learning
Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia +1
We present a novel LSTM cell architecture capable of learning both intra- and inter-perspective relationships available in visual sequences captured from multiple perspectives. Our…
Remote Pathological Gait Classification System
Pedro Albuquerque, Joao Machado, Tanmay Tulsidas Verlekar +2
Several pathologies can alter the way people walk, i.e. their gait. Gait analysis can therefore be used to detect impairments and help diagnose illnesses and assess patient recover…
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing
Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira +1
Light field (LF) cameras provide rich spatio-angular visual representations by sensing the visual scene from multiple perspectives and have recently emerged as a promising technolo…
Long Short-Term Memory with Gate and State Level Fusion for Light Field-Based Face Recognition
Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira +1
Long Short-Term Memory (LSTM) is a prominent recurrent neural network for extracting dependencies from sequential data such as time-series and multi-view data, having achieved impr…
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…