Intelligent toolkit for procedural animation of human behaviors. - Paul Slinger; Seyed Ali Etemad; Ali Arya (Future Play, 2009)

Modeling and Transformation of 3D Human Motion. - Seyed Ali Etemad; Ali Arya (GRAPP, 2010)

DEVS-based modeling of a human motion data synthesis and control system. - Seyed Ali Etemad; Gabriel A. Wainer (SummerSim, 2010)

Separation and extraction of energy variants from human motion using temporal minimization. - Seyed Ali Etemad; Ali Arya (VECIMS, 2011)

An ant-inspired algorithm for detection of image edge features. - S. Ali Etemad; Tony White (Appl. Soft Comput., 2011)

Robust Horizon Detection Using Segmentation for UAV Applications. - Nasim Sepehri Boroujeni; S. Ali Etemad; Anthony D. Whitehead (CRV, 2012)

Fast obstacle detection using targeted optical flow. - Nasim Sepehri Boroujeni; S. Ali Etemad; Anthony D. Whitehead (ICIP, 2012)

Design and Usability Analysis of Gesture-Based Control for Common Desktop Tasks. - Farzin Farhadi-Niaki; S. Ali Etemad; Ali Arya (HCI (4), 2013)

A Customizable Time Warping Method for Motion Alignment. - S. Ali Etemad; Ali Arya (ICSC, 2013)

Classification and translation of style and affect in human motion using RBF neural networks. - S. Ali Etemad; Ali Arya (Neurocomputing, 2014)

Correlation-optimized time warping for motion. - S. Ali Etemad; Ali Arya (Vis. Comput., 2015)

Motivational Impacts and Sustainability Analysis of a Wearable-based Gamified Exercise and Fitness System. - Zhao Zhao; S. Ali Etemad; Anthony D. Whitehead; Ali Arya (CHI PLAY (Companion), 2016)

Usability and Motivational Effects of a Gamified Exercise and Fitness System Based on Wearable Devices. - Zhao Zhao; S. Ali Etemad; Ali Arya; Anthony D. Whitehead (HCI (17), 2016)

Perceptual validity in animation of human motion. - S. Ali Etemad; Ali Arya; Avi Parush; Steve DiPaola (Comput. Animat. Virtual Worlds, 2016)

Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion. - S. Ali Etemad; Ali Arya (IEEE Trans. Hum. Mach. Syst., 2016)

Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions. - Rishabh Gupta; Abdul Qadir Javaid; S. Ali Etemad (BHI, 2017)

Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods. - Abdul Qadir Javaid; Rishabh Gupta; Alex Mihalidis; S. Ali Etemad (BHI, 2017)

Keeping Users Engaged through Feature Updates: A Long-Term Study of Using Wearable-Based Exergames. - Zhao Zhao; Ali Arya; Anthony D. Whitehead; Gerry Chan; S. Ali Etemad (CHI, 2017)

Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition. - Guangyi Zhang 003; Evelyn Morin; Yaoxue Zhang; S. Ali Etemad (EMBC, 2018)

Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. - Pritam Sarkar; Kyle Ross; Aaron J. Ruberto; Dirk Rodenburg; Paul Hungler; Ali Etemad (ACII, 2019)

A Deep Framework for Facial Emotion Recognition using Light Field Images. - Alireza Sepas-Moghaddam; S. Ali Etemad; Paulo Lobato Correia; Fernando Pereira 001 (ACII, 2019)

Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. - Saeed Ghorbani; Ali Etemad; Nikolaus F. Troje (CGI, 2019)

An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation. - Gelareh Hajian; Ali Etemad; Evelyn Morin (EMBC, 2019)

PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation. - Gelareh Hajian; Evelyn Morin; Ali Etemad (EMBC, 2019)

Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. - Pritam Sarkar; Vandad Davoodnia; Ali Etemad (ICMLA, 2019)

Deep Neural Networks for Predicting Vehicle Travel Times. - Arthur Cruz de Araujo; Ali Etemad (IEEE SENSORS, 2019)

Activity Recognition with Wearable Accelerometers using Deep Convolutional Neural Network and the Effect of Sensor Placement. - Jeremy Kulchyk; Ali Etemad (IEEE SENSORS, 2019)

A Deep Neural Network for Short-Segment Speaker Recognition. - Amirhossein Hajavi; Ali Etemad (INTERSPEECH, 2019)

Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. - Vandad Davoodnia; Ali Etemad (SMC, 2019)

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network. - Guangyi Zhang 003; Vandad Davoodnia; Alireza Sepas-Moghaddam; Yaoxue Zhang; S. Ali Etemad (CoRR, 2019)

Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation. - Guangyi Zhang 003; S. Ali Etemad (CoRR, 2019)

Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices. - Kyle Ross; Pritam Sarkar; Dirk Rodenburg; Aaron J. Ruberto; Paul Hungler; Adam Szulewski; Daniel Howes; Ali Etemad (Sensors, 2019)

Detecting Multiple Speech Disfluencies Using a Deep Residual Network with Bidirectional Long Short-Term Memory. - Tedd Kourkounakis; Amirhossein Hajavi; Ali Etemad (ICASSP, 2020)

Self-Supervised Learning for ECG-Based Emotion Recognition. - Pritam Sarkar; Ali Etemad (ICASSP, 2020)

Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM. - Alireza Sepas-Moghaddam; S. Ali Etemad; Fernando Pereira 001; Paulo Lobato Correia (ICASSP, 2020)

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules. - Alireza Sepas-Moghaddam; Saeed Ghorbani; Nikolaus F. Troje; Ali Etemad (ICPR, 2020)

Two-Level Attention-based Fusion Learning for RGB-D Face Recognition. - Hardik Uppal; Alireza Sepas-Moghaddam; Michael A. Greenspan; Ali Etemad (ICPR, 2020)

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. - Saeed Ghorbani; Calden Wloka; Ali Etemad; Marcus A. Brubaker; Nikolaus F. Troje (Comput. Graph. Forum, 2020)

Attention-aware fusion RGB-D face recognition. - Hardik Uppal; Alireza Sepas-Moghaddam; Michael A. Greenspan; S. Ali Etemad (CoRR, 2020)

RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces. - Guangyi Zhang 003; S. Ali Etemad (CoRR, 2020)

Knowing What to Listen to: Early Attention for Deep Speech Representation Learning. - Amirhossein Hajavi; Ali Etemad (CoRR, 2020)

FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning. - Tedd Kourkounakis; Amirhossein Hajavi; Ali Etemad (CoRR, 2020)

Self-supervised Wearable-based Activity Recognition by Learning to Forecast Motion. - Setareh Rahimi Taghanaki; Ali Etemad (CoRR, 2020)

Automated Channel Selection in High-Density sEMG for Improved Force Estimation. - Gelareh Hajian; Ali Etemad; Evelyn Morin (Sensors, 2020)

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. - Pritam Sarkar; Ali Etemad (AAAI, 2021)

Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition. - Anubhav Bhatti; Behnam Behinaein; Dirk Rodenburg; Paul Hungler; Ali Etemad (ACII (Workshops and Demos), 2021)

Spatiotemporal Contrastive Learning of Facial Expressions in Videos. - Shuvendu Roy; Ali Etemad (ACII, 2021)

Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. - Guangyi Zhang 003; Ali Etemad (ACII, 2021)

Multi-Perspective LSTM for Joint Visual Representation Learning. - Alireza Sepas-Moghaddam; Fernando Pereira 001; Paulo Lobato Correia; Ali Etemad (CVPR, 2021)

Convolutional Neural Network Approach for Elbow Torque Estimation during Quasi-dynamic and Dynamic Contractions. - Gelareh Hajian; Evelyn Morin; Ali Etemad (EMBC, 2021)

Face Trees for Expression Recognition. - Mojtaba Kolahdouzi; Alireza Sepas-Moghaddam; Ali Etemad (FG, 2021)

Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars. - Rachel Phinnemore; Gabriele Cimolino; Pritam Sarkar; Ali Etemad; T. C. Nicholas Graham (HAI, 2021)

In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning. - Vandad Davoodnia; Saeed Ghorbani; Ali Etemad (ICASSP, 2021)

Siamese Capsule Network for End-to-End Speaker Recognition in the Wild. - Amirhossein Hajavi; Ali Etemad (ICASSP, 2021)

Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. - Hardik Uppal; Alireza Sepas-Moghaddam; Michael A. Greenspan; Ali Etemad (ICCV, 2021)

Self-supervised Contrastive Learning of Multi-view Facial Expressions. - Shuvendu Roy; Ali Etemad (ICMI, 2021)

A Transformer Architecture for Stress Detection from ECG. - Behnam Behinaein; Anubhav Bhatti; Dirk Rodenburg; Paul Hungler; Ali Etemad (ISWC, 2021)

Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion. - Setareh Rahimi Taghanaki; Michael J. Rainbow; Ali Etemad (ISWC, 2021)

Generalized EMG-based isometric contact force estimation using a deep learning approach. - Gelareh Hajian; Ali Etemad; Evelyn Morin (Biomed. Signal Process. Control., 2021)

Flow-based Autoregressive Structured Prediction of Human Motion. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (CoRR, 2021)

Wearable-based Classification of Running Styles with Deep Learning. - Setareh Rahimi Taghanaki; Michael J. Rainbow; Ali Etemad (CoRR, 2021)

Multi-View Video-Based 3D Hand Pose Estimation. - Leyla Khaleghi; Alireza Sepas-Moghaddam; Joshua A. Marshall; Ali Etemad (CoRR, 2021)

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity. - Pritam Sarkar; Ali Etemad (CoRR, 2021)

Towards Personalization of User Preferences in Partially Observable Smart Home Environments. - Shashi Suman; François Rivest; Ali Etemad (CoRR, 2021)

Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning. - Zunayed Mahmud; Paul Hungler; Ali Etemad (CoRR, 2021)

End-to-End Prediction of Parcel Delivery Time With Deep Learning for Smart-City Applications. - Arthur Cruz de Araujo; Ali Etemad (IEEE Internet Things J., 2021)

FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning. - Tedd Kourkounakis; Amirhossein Hajavi; Ali Etemad (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

View-Invariant Gait Recognition With Attentive Recurrent Learning of Partial Representations. - Alireza Sepas-Moghaddam; Ali Etemad (IEEE Trans. Biom. Behav. Identity Sci., 2021)

Long Short-Term Memory With Gate and State Level Fusion for Light Field-Based Face Recognition. - Alireza Sepas-Moghaddam; Ali Etemad; Fernando Pereira 001; Paulo Lobato Correia (IEEE Trans. Inf. Forensics Secur., 2021)

Depth as Attention for Face Representation Learning. - Hardik Uppal; Alireza Sepas-Moghaddam; Michael A. Greenspan; Ali Etemad (IEEE Trans. Inf. Forensics Secur., 2021)

CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing. - Alireza Sepas-Moghaddam; Ali Etemad; Fernando Pereira 001; Paulo Lobato Correia (IEEE Trans. Image Process., 2021)

Analysis of Semi-Supervised Methods for Facial Expression Recognition. - Shuvendu Roy; Ali Etemad (ACII, 2022)

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. - Yangzheng Wu; Mohsen Zand; Ali Etemad; Michael A. Greenspan (ECCV (10), 2022)

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (ECCV (10), 2022)

Multiscale Crowd Counting and Localization By Multitask Point Supervision. - Mohsen Zand; Haleh Damirchi; Andrew Farley; Mahdiyar Molahasani; Michael A. Greenspan; Ali Etemad (ICASSP, 2022)

Holistic Semi-Supervised Approaches for EEG Representation Learning. - Guangyi Zhang 003; Ali Etemad (ICASSP, 2022)

Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. - Leyla Khaleghi; Joshua A. Marshall; Ali Etemad (ICPR, 2022)

Fine-grained Early Frequency Attention for Deep Speaker Recognition. - Amirhossein Hajavi; Ali Etemad (IJCNN, 2022)

Analysis of Augmentations for Contrastive ECG Representation Learning. - Sahar Soltanieh; Ali Etemad; Javad Hashemi (IJCNN, 2022)

Estimating pose from pressure data for smart beds with deep image-based pose estimators. - Vandad Davoodnia; Saeed Ghorbani; Ali Etemad (Appl. Intell., 2022)

Bagged tree ensemble modelling with feature selection for isometric EMG-based force estimation. - Gelareh Hajian; Behnam Behinaein; Ali Etemad; Evelyn Morin (Biomed. Signal Process. Control., 2022)

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. - Guangyi Zhang 003; Ali Etemad (CoRR, 2022)

Impact of Labelled Set Selection and Supervision Policies on Semi-supervised Learning. - Shuvendu Roy; Ali Etemad (CoRR, 2022)

Touchless Control of Heavy Equipment Using Low-Cost Hand Gesture Recognition. - Leyla Khaleghi; Unal Artan; Ali Etemad; Joshua A. Marshall (IEEE Internet Things Mag., 2022)

Self-Supervised ECG Representation Learning for Emotion Recognition. - Pritam Sarkar; Ali Etemad (IEEE Trans. Affect. Comput., 2022)

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. - Guangyi Zhang 003; Vandad Davoodnia; Ali Etemad (IEEE Trans. Affect. Comput., 2022)

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. - Shashi Suman; Ali Etemad; François Rivest (IEEE Trans. Artif. Intell., 2022)

Oriented Bounding Boxes for Small and Freely Rotated Objects. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (IEEE Trans. Geosci. Remote. Sens., 2022)

Multimodal Estimation of Endpoint Force During Quasi-Dynamic and Dynamic Muscle Contractions Using Deep Learning. - Gelareh Hajian; Evelyn Morin; Ali Etemad (IEEE Trans. Instrum. Meas., 2022)

FabriCar: Enriching the User Experience of In-Car Media Interactions with Ubiquitous Vehicle Interiors using E-textile Sensors. - Pouya M. Khorsandi; Lee Jones; Vandad Davoodnia; Timothy J. Lampen; Aliya Conrad; Ali Etemad; Sara Nabil (Conference on Designing Interactive Systems, 2023)

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. - Pritam Sarkar; Ali Etemad (AAAI, 2023)

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. - Pritam Sarkar; Aaron Posen; Ali Etemad (AAAI, 2023)

Active Learning with Contrastive Pre-training for Facial Expression Recognition. - Shuvendu Roy; Ali Etemad (ACII, 2023)

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-Temporal Masked Transformers. - Vandad Davoodnia; Ali Etemad (ICASSP, 2023)

A Study on Bias and Fairness in Deep Speaker Recognition. - Amirhossein Hajavi; Ali Etemad (ICASSP, 2023)

Temporal Contrastive Learning with Curriculum. - Shuvendu Roy; Ali Etemad (ICASSP, 2023)

Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection. - Sayantan Das 002; Mojtaba Kolahdouzi; Levent Özparlak; Will Hickie; Ali Etemad (IJCB, 2023)

Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. - Haleh Damirchi; Michael A. Greenspan; Ali Etemad (ICIP, 2023)

Continual Learning for Out-of-Distribution Pedestrian Detection. - Mahdiyar Molahasani; Ali Etemad; Michael A. Greenspan (ICIP, 2023)

Toward Fair Facial Expression Recognition with Improved Distribution Alignment. - Mojtaba Kolahdouzi; Ali Etemad (ICMI, 2023)

EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. - Dustin Pulver; Prithila Angkan; Paul Hungler; Ali Etemad (ICMI, 2023)

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. - Pritam Sarkar; Ahmad Beirami; Ali Etemad (NeurIPS, 2023)

Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. - Divij Gupta; Ali Etemad (SMC, 2023)

Partial Label Learning for Emotion Recognition from EEG. - Guangyi Zhang 003; Ali Etemad (CoRR, 2023)

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data. - Shuvendu Roy; Ali Etemad (CoRR, 2023)

Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework. - Mahdiyar Molahasani; Michael A. Greenspan; Ali Etemad (CoRR, 2023)

Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (CoRR, 2023)

Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training. - Divij Gupta; Ali Etemad (CoRR, 2023)

Deep multitask learning for pervasive BMI estimation and identity recognition in smart beds. - Vandad Davoodnia; Monet Slinowsky; Ali Etemad (J. Ambient Intell. Humaniz. Comput., 2023)

Unsupervised multi-modal representation learning for affective computing with multi-corpus wearable data. - Kyle Ross; Paul Hungler; Ali Etemad (J. Ambient Intell. Humaniz. Comput., 2023)

Deep Gait Recognition: A Survey. - Alireza Sepas-Moghaddam; Ali Etemad (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Distilling EEG representations via capsules for affective computing. - Guangyi Zhang 003; Ali Etemad (Pattern Recognit. Lett., 2023)

Multiview Video-Based 3-D Hand Pose Estimation. - Leyla Khaleghi; Alireza Sepas-Moghaddam; Joshua A. Marshall; Ali Etemad (IEEE Trans. Artif. Intell., 2023)

Toward Personalization of User Preferences in Partially Observable Smart Home Environments. - Shashi Suman; François Rivest; Ali Etemad (IEEE Trans. Artif. Intell., 2023)

Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning. - Amirhossein Hajavi; Ali Etemad (IEEE Trans. Artif. Intell., 2023)

FaceTopoNet: Facial Expression Recognition Using Face Topology Learning. - Mojtaba Kolahdouzi; Alireza Sepas-Moghaddam; Ali Etemad (IEEE Trans. Artif. Intell., 2023)

Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning. - Setareh Rahimi Taghanaki; Michael J. Rainbow; Ali Etemad (IEEE Trans. Hum. Mach. Syst., 2023)

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. - Shuvendu Roy; Ali Etemad (AAAI, 2024)

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. - Pritam Sarkar; Ali Etemad (AAAI, 2024)

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. - Debaditya Shome; Pritam Sarkar; Ali Etemad (AAAI, 2024)

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-view and Temporal Cues. - Vandad Davoodnia; Saeed Ghorbani; Marc-André Carbonneau; Alexandre Messier; Ali Etemad (ECCV (16), 2024)

SkelFormer: Markerless 3D Pose and Shape Estimation Using Skeletal Transformers. - Vandad Davoodnia; Saeed Ghorbani; Alexandre Messier; Ali Etemad (ECCV Workshops (2), 2024)

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. - Debaditya Shome; Ali Etemad (ICASSP, 2024)

Consistency-guided Prompt Learning for Vision-Language Models. - Shuvendu Roy; Ali Etemad (ICLR, 2024)

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series. - Debaditya Shome; Nasim Montazeri Ghahjaverestan; Ali Etemad (ICMI, 2024)

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG. - Mohd Ashhad; Sana Rahmani; Mohammed Fayiz; Ali Etemad; Javad Hashemi (IJCNN, 2024)

Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations. - Shivam Grover; Amin Jalali; Ali Etemad (NeurIPS, 2024)

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. - Aaqib Saeed; Dimitris Spathis; Jungwoo Oh; Edward Choi; Ali Etemad (CoRR, 2024)

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. - Dimitris Spathis; Aaqib Saeed; Ali Etemad; Sana Tonekaboni; Stefanos Laskaridis; Shohreh Deldari; Chi Ian Tang; Patrick Schwab; Shyam A. Tailor (CoRR, 2024)

CLARE: Cognitive Load Assessment in REaltime with Multimodal Data. - Anubhav Bhatti; Prithila Angkan; Behnam Behinaein; Zunayed Mahmud; Dirk Rodenburg; Heather Braund; P. James Mclellan; Aaron J. Ruberto; Geoffery Harrison; Daryl Wilson; Adam Szulewski; Dan Howes; et al. (CoRR, 2024)

Few-shot Tuning of Foundation Models for Class-incremental Learning. - Shuvendu Roy; Elham Dolatabadi; Arash Afkanpour; Ali Etemad (CoRR, 2024)

Mitigating Object Hallucination via Data Augmented Contrastive Tuning. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (CoRR, 2024)

Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations. - Shivam Grover; Amin Jalali; Ali Etemad (CoRR, 2024)

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. - Shuvendu Roy; Yasaman Parhizkar; Franklin Ogidi; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2024)

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer. - Renan A. Rojas-Gomez; Karan Singhal; Ali Etemad; Alex Bijamov; Warren Richard Morningstar; Philip Andrew Mansfield (Trans. Mach. Learn. Res., 2024)

A Bag of Tricks for Few-Shot Class-Incremental Learning. - Shuvendu Roy; Chunjong Park; Aldi Fahrezi; Ali Etemad (Trans. Mach. Learn. Res., 2024)

Diffusion Models with Deterministic Normalizing Flow Priors. - Mohsen Zand; Ali Etemad; Michael A. Greenspan (Trans. Mach. Learn. Res., 2024)

Audio Representation Learning by Distilling Video as Privileged Information. - Amirhossein Hajavi; Ali Etemad (IEEE Trans. Artif. Intell., 2024)

An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. - Farhad Pourpanah; Chee Peng Lim; Ali Etemad; Q. M. Jonathan Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection. - Sahar Soltanieh; Javad Hashemi; Ali Etemad (IEEE J. Biomed. Health Informatics, 2024)

Remote Heart Rate Monitoring in Smart Environments From Videos With Self-Supervised Pretraining. - Divij Gupta; Ali Etemad (IEEE Internet Things J., 2024)

Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space. - Guangyi Zhang 003; Ali Etemad (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Contrastive Learning of View-invariant Representations for Facial Expressions Recognition. - Shuvendu Roy; Ali Etemad (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines. - Prithila Angkan; Behnam Behinaein; Zunayed Mahmud; Anubhav Bhatti; Dirk Rodenburg; Paul Hungler; Ali Etemad (IEEE Trans. Intell. Transp. Syst., 2024)

AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition. - Anubhav Bhatti; Behnam Behinaein; Paul Hungler; Ali Etemad (ACM Trans. Comput. Heal., 2024)

Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning. - Zunayed Mahmud; Paul Hungler; Ali Etemad (IEEE Trans. Artif. Intell., 2024)

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. - Farhad Pourpanah; Ali Etemad (ACM Trans. Comput. Heal., 2024)

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. - Barys Liskavets; Maxim Ushakov; Shuvendu Roy; Mark Klibanov; Ali Etemad; Shane K. Luke (AAAI, 2025)

Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. - Farhad Pourpanah; Mahdiyar Molahasani; Milad Soltany; Michael A. Greenspan; Ali Etemad (AAAI, 2025)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders. - Aditya Mishra; Ahnaf Mozib Samin; Ali Etemad; Javad Hashemi (ICASSP, 2025)

Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection. - Sana Rahmani; Reetam Chatterjee; Ali Etemad; Javad Hashemi (ICASSP, 2025)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training. - Milad Soltany; Farhad Pourpanah; Mahdiyar Molahasani; Michael A. Greenspan; Ali Etemad (ICASSP, 2025)

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (ICLR, 2025)

Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting. - Haleh Damirchi; Ali Etemad; Michael A. Greenspan (WACV, 2025)

CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis. - Nishq Poorav Desai; Ali Etemad; Michael A. Greenspan (WACV, 2025)

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition Using In-Distribution, Out-of-Distribution, and Unconstrained Data. - Shuvendu Roy; Ali Etemad (IEEE Trans. Affect. Comput., 2025)

Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models. - Shuvendu Roy; Elham Dolatabadi; Arash Afkanpour; Ali Etemad (Trans. Mach. Learn. Res., 2025)

Dynamic Prototype Rehearsal for Continual Learning in ECG Arrhythmia Detection. - Sana Rahmani; Reetam Chatterjee; Ali Etemad; Javad Hashemi (CoRR, 2025)

SelfPrompt: Confidence-Aware Semi-Supervised Tuning for Robust Vision-Language Model Adaptation. - Shuvendu Roy; Ali Etemad (CoRR, 2025)

Scaling laws in wearable human activity recognition. - Tom Hoddes; Alex Bijamov; Saket Joshi; Daniel Roggen; Ali Etemad; Robert Harle; David Racz (CoRR, 2025)

Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor. - Barys Liskavets; Shuvendu Roy; Maxim Ushakov; Mark Klibanov; Ali Etemad; Shane Luke (CoRR, 2025)

A Shared Encoder Approach to Multimodal Representation Learning. - Shuvendu Roy; Franklin Ogidi; Ali Etemad; Elham Dolatabadi; Arash Afkanpour (CoRR, 2025)

Advancing Medical Representation Learning Through High-Quality Data. - Negin Baghbanzadeh; Adibvafa Fallahpour; Yasaman Parhizkar; Franklin Ogidi; Shuvendu Roy; Sajad Ashkezari; Vahid Reza Khazaie; Michael Colacci; Ali Etemad; Arash Afkanpour; Elham Dolatabadi (CoRR, 2025)

Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization. - Pritam Sarkar; Ali Etemad (CoRR, 2025)

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation. - Muhammad Haseeb Aslam; Clara Martinez; Marco Pedersoli; Alessandro L. Koerich; Ali Etemad; Eric Granger (CoRR, 2025)

Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness. - Mojtaba Kolahdouzi; Hatice Gunes; Ali Etemad (CoRR, 2025)

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models. - Pritam Sarkar; Ali Etemad (CoRR, 2025)

PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection. - Mahdiyar Molahasani; Azadeh Motamedi; Michael A. Greenspan; Il-Min Kim 001; Ali Etemad (CoRR, 2025)

Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method. - Masoumeh Sharafi; Soufiane Belharbi; Houssem Ben Salem; Ali Etemad; Alessandro Lameiras Koerich; Marco Pedersoli; Simon Bacon; Eric Granger (CoRR, 2025)

Impact of Strategic Sampling and Supervision Policies on Semi-Supervised Learning. - Shuvendu Roy; Ali Etemad (IEEE Trans. Emerg. Top. Comput. Intell., 2025)