17 citations · 22 across the 10 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…
Temporal Contrastive Learning with Curriculum
Shuvendu Roy, Ali Etemad
We present ConCur, a contrastive video representation learning method that uses curriculum learning to impose a dynamic sampling strategy in contrastive training. More specifically…
Analysis of Semi-Supervised Methods for Facial Expression Recognition
Shuvendu Roy, Ali Etemad
Training deep neural networks for image recognition often requires large-scale human annotated data. To reduce the reliance of deep neural solutions on labeled data, state-of-the-a…
Multimodal Estimation of End Point Force During Quasi-dynamic and Dynamic Muscle Contractions Using Deep Learning
Gelareh Hajian, Evelyn Morin, Ali Etemad
Accurate force/torque estimation is essential for applications such as powered exoskeletons, robotics, and rehabilitation. However, force/torque estimation under dynamic conditions…
Fine-grained Early Frequency Attention for Deep Speaker Recognition
Amirhossein Hajavi, Ali Etemad
Attention mechanisms have emerged as important tools that boost the performance of deep models by allowing them to focus on key parts of learned embeddings. However, current attent…
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning
Zunayed Mahmud, Paul Hungler, Ali Etemad
We present a novel multistream network that learns robust eye representations for gaze estimation. We first create a synthetic dataset containing eye region masks detailing the vis…