Ali Etemad

Orcid: 0000-0001-7128-0220

According to our database1, Ali Etemad authored at least 150 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning.
IEEE Trans. Artif. Intell., August, 2024

AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition.
ACM Trans. Comput. Heal., July, 2024

Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines.
IEEE Trans. Intell. Transp. Syst., June, 2024

Contrastive Learning of View-invariant Representations for Facial Expressions Recognition.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Remote Heart Rate Monitoring in Smart Environments From Videos With Self-Supervised Pretraining.
IEEE Internet Things J., March, 2024

In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection.
IEEE J. Biomed. Health Informatics, February, 2024

An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Audio Representation Learning by Distilling Video as Privileged Information.
IEEE Trans. Artif. Intell., January, 2024

CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis.
CoRR, 2024

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series.
CoRR, 2024

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference.
CoRR, 2024

Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning.
CoRR, 2024

Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations.
CoRR, 2024

Mitigating Object Hallucination via Data Augmented Contrastive Tuning.
CoRR, 2024

Few-shot Tuning of Foundation Models for Class-incremental Learning.
CoRR, 2024

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients.
CoRR, 2024

CLARE: Cognitive Load Assessment in REaltime with Multimodal Data.
CoRR, 2024

SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers.
CoRR, 2024

A Bag of Tricks for Few-Shot Class-Incremental Learning.
CoRR, 2024

A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024.
CoRR, 2024

Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement.
CoRR, 2024

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG.
Proceedings of the International Joint Conference on Neural Networks, 2024

Consistency-guided Prompt Learning for Vision-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations.
Proceedings of the IEEE International Conference on Acoustics, 2024

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-view and Temporal Cues.
Proceedings of the Computer Vision - ECCV 2024, 2024

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning.
IEEE Trans. Hum. Mach. Syst., December, 2023

FaceTopoNet: Facial Expression Recognition Using Face Topology Learning.
IEEE Trans. Artif. Intell., December, 2023

Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning.
IEEE Trans. Artif. Intell., December, 2023

Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Toward Personalization of User Preferences in Partially Observable Smart Home Environments.
IEEE Trans. Artif. Intell., June, 2023

Multiview Video-Based 3-D Hand Pose Estimation.
IEEE Trans. Artif. Intell., 2023

Distilling EEG representations via capsules for affective computing.
Pattern Recognit. Lett., 2023

Deep Gait Recognition: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Unsupervised multi-modal representation learning for affective computing with multi-corpus wearable data.
J. Ambient Intell. Humaniz. Comput., 2023

Deep multitask learning for pervasive BMI estimation and identity recognition in smart beds.
J. Ambient Intell. Humaniz. Comput., 2023

SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer.
CoRR, 2023

Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training.
CoRR, 2023

Diffusion Models with Deterministic Normalizing Flow Priors.
CoRR, 2023

Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction.
CoRR, 2023

Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework.
CoRR, 2023

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey.
CoRR, 2023

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data.
CoRR, 2023

Partial Label Learning for Emotion Recognition from EEG.
CoRR, 2023

Privacy-Preserving Remote Heart Rate Estimation from Facial Videos.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Toward Fair Facial Expression Recognition with Improved Distribution Alignment.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Continual Learning for Out-of-Distribution Pedestrian Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer.
Proceedings of the IEEE International Conference on Image Processing, 2023

Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023

Temporal Contrastive Learning with Curriculum.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Study on Bias and Fairness in Deep Speaker Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-Temporal Masked Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Active Learning with Contrastive Pre-training for Facial Expression Recognition.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FabriCar: Enriching the User Experience of In-Car Media Interactions with Ubiquitous Vehicle Interiors using E-textile Sensors.
Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022
Multimodal Estimation of Endpoint Force During Quasi-Dynamic and Dynamic Muscle Contractions Using Deep Learning.
IEEE Trans. Instrum. Meas., 2022

Oriented Bounding Boxes for Small and Freely Rotated Objects.
IEEE Trans. Geosci. Remote. Sens., 2022

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach.
IEEE Trans. Artif. Intell., 2022

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

Self-Supervised ECG Representation Learning for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

Touchless Control of Heavy Equipment Using Low-Cost Hand Gesture Recognition.
IEEE Internet Things Mag., 2022

Impact of Labelled Set Selection and Supervision Policies on Semi-supervised Learning.
CoRR, 2022

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition.
CoRR, 2022

Bagged tree ensemble modelling with feature selection for isometric EMG-based force estimation.
Biomed. Signal Process. Control., 2022

Estimating pose from pressure data for smart beds with deep image-based pose estimators.
Appl. Intell., 2022

Analysis of Augmentations for Contrastive ECG Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Fine-grained Early Frequency Attention for Deep Speaker Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Holistic Semi-Supervised Approaches for EEG Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multiscale Crowd Counting and Localization By Multitask Point Supervision.
Proceedings of the IEEE International Conference on Acoustics, 2022

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Analysis of Semi-Supervised Methods for Facial Expression Recognition.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing.
IEEE Trans. Image Process., 2021

Depth as Attention for Face Representation Learning.
IEEE Trans. Inf. Forensics Secur., 2021

Long Short-Term Memory With Gate and State Level Fusion for Light Field-Based Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2021

View-Invariant Gait Recognition With Attentive Recurrent Learning of Partial Representations.
IEEE Trans. Biom. Behav. Identity Sci., 2021

FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

End-to-End Prediction of Parcel Delivery Time With Deep Learning for Smart-City Applications.
IEEE Internet Things J., 2021

Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning.
CoRR, 2021

Towards Personalization of User Preferences in Partially Observable Smart Home Environments.
CoRR, 2021

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity.
CoRR, 2021

Multi-View Video-Based 3D Hand Pose Estimation.
CoRR, 2021

Wearable-based Classification of Running Styles with Deep Learning.
CoRR, 2021

Flow-based Autoregressive Structured Prediction of Human Motion.
CoRR, 2021

Generalized EMG-based isometric contact force estimation using a deep learning approach.
Biomed. Signal Process. Control., 2021

Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

A Transformer Architecture for Stress Detection from ECG.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

Self-supervised Contrastive Learning of Multi-view Facial Expressions.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Siamese Capsule Network for End-to-End Speaker Recognition in the Wild.
Proceedings of the IEEE International Conference on Acoustics, 2021

In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars.
Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021

Face Trees for Expression Recognition.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Convolutional Neural Network Approach for Elbow Torque Estimation during Quasi-dynamic and Dynamic Contractions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multi-Perspective LSTM for Joint Visual Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

Spatiotemporal Contrastive Learning of Facial Expressions in Videos.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition.
Proceedings of the 2021 9th International Conference on Affective Computing and Intelligent Interaction, 2021

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Automated Channel Selection in High-Density sEMG for Improved Force Estimation.
Sensors, 2020

Self-supervised Wearable-based Activity Recognition by Learning to Forecast Motion.
CoRR, 2020

FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning.
CoRR, 2020

Knowing What to Listen to: Early Attention for Deep Speech Representation Learning.
CoRR, 2020

RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces.
CoRR, 2020

Attention-aware fusion RGB-D face recognition.
CoRR, 2020

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model.
Comput. Graph. Forum, 2020

Two-Level Attention-based Fusion Learning for RGB-D Face Recognition.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Learning for ECG-Based Emotion Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Detecting Multiple Speech Disfluencies Using a Deep Residual Network with Bidirectional Long Short-Term Memory.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices.
Sensors, 2019

Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation.
CoRR, 2019

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network.
CoRR, 2019

Identity and Posture Recognition in Smart Beds with Deep Multitask Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Deep Neural Network for Short-Segment Speaker Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Activity Recognition with Wearable Accelerometers using Deep Convolutional Neural Network and the Effect of Sensor Placement.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Deep Neural Networks for Predicting Vehicle Travel Times.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Computer-Aided Diagnosis using Class-Weighted Deep Neural Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Auto-labelling of Markers in Optical Motion Capture by Permutation Learning.
Proceedings of the Advances in Computer Graphics, 2019

A Deep Framework for Facial Emotion Recognition using Light Field Images.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Keeping Users Engaged through Feature Updates: A Long-Term Study of Using Wearable-Based Exergames.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion.
IEEE Trans. Hum. Mach. Syst., 2016

Perceptual validity in animation of human motion.
Comput. Animat. Virtual Worlds, 2016

Usability and Motivational Effects of a Gamified Exercise and Fitness System Based on Wearable Devices.
Proceedings of the Design, User Experience, and Usability: Novel User Experiences, 2016

Motivational Impacts and Sustainability Analysis of a Wearable-based Gamified Exercise and Fitness System.
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016

2015
Correlation-optimized time warping for motion.
Vis. Comput., 2015

2014
Classification and translation of style and affect in human motion using RBF neural networks.
Neurocomputing, 2014

2013
A Customizable Time Warping Method for Motion Alignment.
Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013

Design and Usability Analysis of Gesture-Based Control for Common Desktop Tasks.
Proceedings of the Human-Computer Interaction. Interaction Modalities and Techniques, 2013

2012
Fast obstacle detection using targeted optical flow.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Robust Horizon Detection Using Segmentation for UAV Applications.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011
An ant-inspired algorithm for detection of image edge features.
Appl. Soft Comput., 2011

Separation and extraction of energy variants from human motion using temporal minimization.
Proceedings of the 2011 IEEE International Conference on Virtual Environments, 2011

2010
DEVS-based modeling of a human motion data synthesis and control system.
Proceedings of the SummerSim '10, 2010

Modeling and Transformation of 3D Human Motion.
Proceedings of the GRAPP 2010, 2010

2009
Intelligent toolkit for procedural animation of human behaviors.
Proceedings of the 2009 Conference on Future Play on @ GDC Canada, Vancouver, BC, Canada, May 12, 2009


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