46 citations · 49 across the 3 of their papers we have counts for
6 papers
FaceTopoNet: Facial Expression Recognition using Face Topology Learning
Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad
Prior work has shown that the order in which different components of the face are learned using a sequential learner can play an important role in the performance of facial express…
Multi-View Video-Based 3D Hand Pose Estimation
Leyla Khaleghi, Alireza Sepas Moghaddam, Joshua Marshall +1
Hand pose estimation (HPE) can be used for a variety of human-computer interaction applications such as gesture-based control for physical or virtual/augmented reality devices. Rec…
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…
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan +1
We present the Teacher-Student Generative Adversarial Network (TS-GAN) to generate depth images from single RGB images in order to boost the performance of face recognition systems…
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…