46 citations · 49 across the 6 of their papers we have counts for
8 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…
Face Trees for Expression Recognition
Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad
We propose an end-to-end architecture for facial expression recognition. Our model learns an optimal tree topology for facial landmarks, whose traversal generates a sequence from w…
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…
Deep Gait Recognition: A Survey
Alireza Sepas-Moghaddam, Ali Etemad
Gait recognition is an appealing biometric modality which aims to identify individuals based on the way they walk. Deep learning has reshaped the research landscape in this area si…
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…