205 citations · 759 across the 46 of their papers we have counts for
12 papers · 1 filter
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training
Divij Gupta, Ali Etemad
Recent advances in deep learning have made it increasingly feasible to estimate heart rate remotely in smart environments by analyzing videos. However, a notable limitation of deep…
Diffusion Models with Deterministic Normalizing Flow Priors
Mohsen Zand, Ali Etemad, Michael Greenspan
For faster sampling and higher sample quality, we propose DiNof (ffusion with rmalizing low priors), a technique that makes use of normalizing…
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
Mohsen Zand, Ali Etemad, Michael Greenspan
A new method is proposed for human motion prediction by learning temporal and spatial dependencies. Recently, multiscale graphs have been developed to model the human body at highe…
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
Dustin Pulver, Prithila Angkan, Paul Hungler +1
Cognitive load, the amount of mental effort required for task completion, plays an important role in performance and decision-making outcomes, making its classification and analysi…
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
Haleh Damirchi, Michael Greenspan, Ali Etemad
We propose a novel solution for predicting future trajectories of pedestrians. Our method uses a multimodal encoder-decoder transformer architecture, which takes as input both pede…
Continual Learning for Out-of-Distribution Pedestrian Detection
Mahdiyar Molahasani, Ali Etemad, Michael Greenspan
A continual learning solution is proposed to address the out-of-distribution generalization problem for pedestrian detection. While recent pedestrian detection models have achieved…
Toward Fair Facial Expression Recognition with Improved Distribution Alignment
Mojtaba Kolahdouzi, Ali Etemad
We present a novel approach to mitigate bias in facial expression recognition (FER) models. Our method aims to reduce sensitive attribute information such as gender, age, or race,…
On The Relationship Between Continual Learning and Long-Tailed Recognition
Mahdiyar Molahasani, Michael Greenspan, Ali Etemad
Real-world datasets often exhibit long-tailed distributions, where a few dominant "Head" classes have abundant samples while most "Tail" classes are severely underrepresented, lead…
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos
Divij Gupta, Ali Etemad
Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces,…
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
Sahar Soltanieh, Javad Hashemi, Ali Etemad
This paper presents a systematic investigation into the effectiveness of Self-Supervised Learning (SSL) methods for Electrocardiogram (ECG) arrhythmia detection. We begin by conduc…
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Prithila Angkan, Behnam Behinaein, Zunayed Mahmud +4
Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with other physiological signal…
Partial Label Learning for Emotion Recognition from EEG
Guangyi Zhang, Ali Etemad
Fully supervised learning has recently achieved promising performance in various electroencephalography (EEG) learning tasks by training on large datasets with ground truth labels.…