17 citations · 22 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
Mohsen Zand, Ali Etemad, Michael Greenspan
We present ObjectBox, a novel single-stage anchor-free and highly generalizable object detection approach. As opposed to both existing anchor-based and anchor-free detectors, which…
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…
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…