46 citations · 49 across the 2 of their papers we have counts for
7 papers
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…
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…
Optimal Lagrange Multipliers for Dependent Rate Allocation in Video Coding
Ana De Abreu, Gene Cheung, Pascal Frossard +1
In a typical video rate allocation problem, the objective is to optimally distribute a source rate budget among a set of (in)dependently coded data units to minimize the total dist…