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Ali Etemad

S. Ali Etemad – Seyed Ali Etemad

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2024
[j39]
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Divij Gupta, Ali Etemad:
Remote Heart Rate Monitoring in Smart Environments From Videos With Self-Supervised Pretraining. IEEE Internet Things J. 11(6): 10279-10294 (2024)
[j38]
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Amirhossein Hajavi, Ali Etemad:
Audio Representation Learning by Distilling Video as Privileged Information. IEEE Trans. Artif. Intell. 5(1): 446-456 (2024)
[j37]
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Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 814-827 (2024)
[j36]
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Guangyi Zhang, Ali Etemad:
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1469-1483 (2024)
[j35]
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Sahar Soltanieh, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection. IEEE J. Biomed. Health Informatics 28(2): 789-800 (2024)
[j34]
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Shuvendu Roy, Ali Etemad:
Contrastive Learning of View-invariant Representations for Facial Expressions Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 97:1-97:22 (2024)
2023
[j33]
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Kyle Ross, Paul Hungler, Ali Etemad:
Unsupervised multi-modal representation learning for affective computing with multi-corpus wearable data. J. Ambient Intell. Humaniz. Comput. 14(4): 3199-3224 (2023)
[j32]
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Vandad Davoodnia, Monet Slinowsky, Ali Etemad:
Deep multitask learning for pervasive BMI estimation and identity recognition in smart beds. J. Ambient Intell. Humaniz. Comput. 14(5): 5463-5477 (2023)
[j31]
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Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 264-284 (2023)
[j30]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13523-13535 (2023)
[j29]
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Guangyi Zhang, Ali Etemad:
Distilling EEG representations via capsules for affective computing. Pattern Recognit. Lett. 171: 99-105 (2023)
[j28]
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Shashi Suman, François Rivest, Ali Etemad:
Toward Personalization of User Preferences in Partially Observable Smart Home Environments. IEEE Trans. Artif. Intell. 4(3): 549-561 (2023)
[j27]
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  - journals/tai/KhaleghiSME23
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Leyla Khaleghi, Alireza Sepas-Moghaddam, Joshua A. Marshall, Ali Etemad:
Multiview Video-Based 3-D Hand Pose Estimation. IEEE Trans. Artif. Intell. 4(4): 896-909 (2023)
[j26]
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Amirhossein Hajavi, Ali Etemad:
Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning. IEEE Trans. Artif. Intell. 4(6): 1413-1425 (2023)
[j25]
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Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
FaceTopoNet: Facial Expression Recognition Using Face Topology Learning. IEEE Trans. Artif. Intell. 4(6): 1526-1539 (2023)
[j24]
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Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Self-Supervised Human Activity Recognition With Localized Time-Frequency Contrastive Representation Learning. IEEE Trans. Hum. Mach. Syst. 53(6): 1027-1037 (2023)
2022
[j23]
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  - journals/apin/DavoodniaGE22
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Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
Estimating pose from pressure data for smart beds with deep image-based pose estimators. Appl. Intell. 52(2): 2119-2133 (2022)
[j22]
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Gelareh Hajian, Behnam Behinaein, Ali Etemad, Evelyn Morin:
Bagged tree ensemble modelling with feature selection for isometric EMG-based force estimation. Biomed. Signal Process. Control. 78: 104012 (2022)
[j21]
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Leyla Khaleghi, Unal Artan, Ali Etemad, Joshua A. Marshall:
Touchless Control of Heavy Equipment Using Low-Cost Hand Gesture Recognition. IEEE Internet Things Mag. 5(1): 54-57 (2022)
[j20]
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Pritam Sarkar, Ali Etemad:
Self-Supervised ECG Representation Learning for Emotion Recognition. IEEE Trans. Affect. Comput. 13(3): 1541-1554 (2022)
[j19]
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Guangyi Zhang, Vandad Davoodnia, Ali Etemad:
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. IEEE Trans. Affect. Comput. 13(4): 2185-2200 (2022)
[j18]
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Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. IEEE Trans. Artif. Intell. 3(4): 567-580 (2022)
[j17]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
[j16]
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  - journals/tim/HajianME22
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Gelareh Hajian, Evelyn Morin, Ali Etemad:
Multimodal Estimation of Endpoint Force During Quasi-Dynamic and Dynamic Muscle Contractions Using Deep Learning. IEEE Trans. Instrum. Meas. 71: 1-11 (2022)
2021
[j15]
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Gelareh Hajian, Ali Etemad, Evelyn Morin:
Generalized EMG-based isometric contact force estimation using a deep learning approach. Biomed. Signal Process. Control. 70: 103012 (2021)
[j14]
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Arthur Cruz de Araujo, Ali Etemad:
End-to-End Prediction of Parcel Delivery Time With Deep Learning for Smart-City Applications. IEEE Internet Things J. 8(23): 17043-17056 (2021)
[j13]
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Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
FluentNet: End-to-End Detection of Stuttered Speech Disfluencies With Deep Learning. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2986-2999 (2021)
[j12]
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  - journals/tbbis/Sepas-Moghaddam21
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Alireza Sepas-Moghaddam, Ali Etemad:
View-Invariant Gait Recognition With Attentive Recurrent Learning of Partial Representations. IEEE Trans. Biom. Behav. Identity Sci. 3(1): 124-137 (2021)
[j11]
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Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
Long Short-Term Memory With Gate and State Level Fusion for Light Field-Based Face Recognition. IEEE Trans. Inf. Forensics Secur. 16: 1365-1379 (2021)
[j10]
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Depth as Attention for Face Representation Learning. IEEE Trans. Inf. Forensics Secur. 16: 2461-2476 (2021)
[j9]
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Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing. IEEE Trans. Image Process. 30: 2627-2642 (2021)
2020
[j8]
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Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje:
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. Comput. Graph. Forum 39(8): 225-239 (2020)
[j7]
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  - journals/sensors/HajianEM20
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Gelareh Hajian, Ali Etemad, Evelyn Morin:
Automated Channel Selection in High-Density sEMG for Improved Force Estimation. Sensors 20(17): 4858 (2020)
2019
[j6]
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  - journals/sensors/RossSRRHSHE19
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Kyle Ross, Pritam Sarkar, Dirk Rodenburg, Aaron J. Ruberto, Paul Hungler, Adam Szulewski, Daniel Howes, Ali Etemad:
Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices. Sensors 19(19): 4270 (2019)
2016
[j5]
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S. Ali Etemad, Ali Arya, Avi Parush, Steve DiPaola:
Perceptual validity in animation of human motion. Comput. Animat. Virtual Worlds 27(1): 58-71 (2016)
[j4]
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S. Ali Etemad, Ali Arya:
Expert-Driven Perceptual Features for Modeling Style and Affect in Human Motion. IEEE Trans. Hum. Mach. Syst. 46(4): 534-545 (2016)
2015
[j3]
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  - journals/vc/EtemadA15
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S. Ali Etemad, Ali Arya:
Correlation-optimized time warping for motion. Vis. Comput. 31(12): 1569-1586 (2015)
2014
[j2]
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S. Ali Etemad, Ali Arya:
Classification and translation of style and affect in human motion using RBF neural networks. Neurocomputing 129: 585-595 (2014)
2011
[j1]
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S. Ali Etemad, Tony White:
An ant-inspired algorithm for detection of image edge features. Appl. Soft Comput. 11(8): 4883-4893 (2011)

Conference and Workshop Papers

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2024
[c68]
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Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. AAAI 2024: 14847-14856
[c67]
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Pritam Sarkar, Ali Etemad:
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. AAAI 2024: 14875-14885
[c66]
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  - conf/aaai/ShomeSE24
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Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. AAAI 2024: 15009-15019
2023
[c65]
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  - conf/ACMdis/KhorsandiJDLCEN23
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Pouya M. Khorsandi, Lee Jones, Vandad Davoodnia, Timothy J. Lampen, Aliya Conrad, Ali Etemad, Sara Nabil:
FabriCar: Enriching the User Experience of In-Car Media Interactions with Ubiquitous Vehicle Interiors using E-textile Sensors. Conference on Designing Interactive Systems 2023: 1438-1456
[c64]
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Pritam Sarkar, Aaron Posen, Ali Etemad:
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. AAAI 2023: 76-85
[c63]
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Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. AAAI 2023: 9723-9732
[c62]
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Shuvendu Roy, Ali Etemad:
Active Learning with Contrastive Pre-training for Facial Expression Recognition. ACII 2023: 1-8
[c61]
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  - conf/icassp/DavoodniaE23
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Vandad Davoodnia, Ali Etemad:
Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-Temporal Masked Transformers. ICASSP 2023: 1-5
[c60]
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Amirhossein Hajavi, Ali Etemad:
A Study on Bias and Fairness in Deep Speaker Recognition. ICASSP 2023: 1-5
[c59]
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Shuvendu Roy, Ali Etemad:
Temporal Contrastive Learning with Curriculum. ICASSP 2023: 1-5
[c58]
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  - conf/icb/DasKOHE23
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Sayantan Das, Mojtaba Kolahdouzi, Levent Özparlak, Will Hickie, Ali Etemad:
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection. IJCB 2023: 1-11
[c57]
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  - conf/icip/DamirchiGE23
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Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. ICIP 2023: 2535-2539
[c56]
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Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. ICIP 2023: 2685-2689
[c55]
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  - conf/icmi/PulverAHE23
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Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad:
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. ICMI 2023: 190-197
[c54]
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Mojtaba Kolahdouzi, Ali Etemad:
Toward Fair Facial Expression Recognition with Improved Distribution Alignment. ICMI 2023: 574-583
[c53]
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Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. NeurIPS 2023
[c52]
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Divij Gupta, Ali Etemad:
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. SMC 2023: 706-712
2022
[c51]
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Shuvendu Roy, Ali Etemad:
Analysis of Semi-Supervised Methods for Facial Expression Recognition. ACII 2022: 1-8
[c50]
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Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. ECCV (10) 2022: 335-352
[c49]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. ECCV (10) 2022: 390-406
[c48]
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Guangyi Zhang, Ali Etemad:
Holistic Semi-Supervised Approaches for EEG Representation Learning. ICASSP 2022: 1241-1245
[c47]
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Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Multiscale Crowd Counting and Localization By Multitask Point Supervision. ICASSP 2022: 1820-1824
[c46]
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Leyla Khaleghi, Joshua A. Marshall, Ali Etemad:
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. ICPR 2022: 535-541
[c45]
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Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. IJCNN 2022: 1-6
[c44]
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Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. IJCNN 2022: 1-10
2021
[c43]
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Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. AAAI 2021: 488-496
[c42]
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Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition. ACII (Workshops and Demos) 2021: 1-5
[c41]
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Shuvendu Roy, Ali Etemad:
Spatiotemporal Contrastive Learning of Facial Expressions in Videos. ACII 2021: 1-8
[c40]
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Guangyi Zhang, Ali Etemad:
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. ACII 2021: 1-8
[c39]
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  - conf/cvpr/Sepas-Moghaddam21
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Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad:
Multi-Perspective LSTM for Joint Visual Representation Learning. CVPR 2021: 16540-16548
[c38]
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Gelareh Hajian, Evelyn Morin, Ali Etemad:
Convolutional Neural Network Approach for Elbow Torque Estimation during Quasi-dynamic and Dynamic Contractions. EMBC 2021: 665-668
[c37]
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Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
Face Trees for Expression Recognition. FG 2021: 1-5
[c36]
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  - conf/hai/PhinnemoreCSEG21
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Rachel Phinnemore, Gabriele Cimolino, Pritam Sarkar, Ali Etemad, T. C. Nicholas Graham:
Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars. HAI 2021: 139-147
[c35]
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Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning. ICASSP 2021: 3965-3969
[c34]
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Amirhossein Hajavi, Ali Etemad:
Siamese Capsule Network for End-to-End Speaker Recognition in the Wild. ICASSP 2021: 7203-7207
[c33]
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. ICCV 2021: 3651-3660
[c32]
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Shuvendu Roy, Ali Etemad:
Self-supervised Contrastive Learning of Multi-view Facial Expressions. ICMI 2021: 253-257
[c31]
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  - conf/iswc/TaghanakiRE21
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Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion. ISWC 2021: 23-27
[c30]
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Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
A Transformer Architecture for Stress Detection from ECG. ISWC 2021: 132-134
2020
[c29]
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Pritam Sarkar, Ali Etemad:
Self-Supervised Learning for ECG-Based Emotion Recognition. ICASSP 2020: 3217-3221
[c28]
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Alireza Sepas-Moghaddam, S. Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM. ICASSP 2020: 3367-3371
[c27]
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Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
Detecting Multiple Speech Disfluencies Using a Deep Residual Network with Bidirectional Long Short-Term Memory. ICASSP 2020: 6089-6093
[c26]
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Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje, Ali Etemad:
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules. ICPR 2020: 8045-8052
[c25]
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Two-Level Attention-based Fusion Learning for RGB-D Face Recognition. ICPR 2020: 10120-10127
2019
[c24]
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Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. ACII 2019: 1-7
[c23]
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Alireza Sepas-Moghaddam, S. Ali Etemad, Paulo Lobato Correia, Fernando Pereira:
A Deep Framework for Facial Emotion Recognition using Light Field Images. ACII 2019: 1-7
[c22]
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  - conf/cgi/GhorbaniET19
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Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje:
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. CGI 2019: 167-178
[c21]
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Gelareh Hajian, Evelyn Morin, Ali Etemad:
PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation. EMBC 2019: 652-655
[c20]
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Gelareh Hajian, Ali Etemad, Evelyn Morin:
An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation. EMBC 2019: 698-701
[c19]
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  - conf/icmla/SarkarDE19
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Pritam Sarkar, Vandad Davoodnia, Ali Etemad:
Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. ICMLA 2019: 410-413
[c18]
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  - conf/ieeesensors/AraujoE19
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Arthur Cruz de Araujo, Ali Etemad:
Deep Neural Networks for Predicting Vehicle Travel Times. IEEE SENSORS 2019: 1-4
[c17]
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  - conf/ieeesensors/KulchykE19
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Jeremy Kulchyk, Ali Etemad:
Activity Recognition with Wearable Accelerometers using Deep Convolutional Neural Network and the Effect of Sensor Placement. IEEE SENSORS 2019: 1-4
[c16]
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Amirhossein Hajavi, Ali Etemad:
A Deep Neural Network for Short-Segment Speaker Recognition. INTERSPEECH 2019: 2878-2882
[c15]
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Vandad Davoodnia, Ali Etemad:
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. SMC 2019: 3054-3059
2018
[c14]
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  - conf/embc/ZhangMZE18
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Guangyi Zhang, Evelyn Morin, Yaoxue Zhang, S. Ali Etemad:
Non-invasive detection of low-level muscle fatigue using surface EMG with wavelet decomposition. EMBC 2018: 5648-5651
2017
[c13]
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Rishabh Gupta, Abdul Qadir Javaid, S. Ali Etemad:
Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions. BHI 2017: 413-416
[c12]
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Abdul Qadir Javaid, Rishabh Gupta, Alex Mihalidis, S. Ali Etemad:
Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods. BHI 2017: 453-456
[c11]
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Zhao Zhao, Ali Arya, Anthony D. Whitehead, Gerry Chan, S. Ali Etemad:
Keeping Users Engaged through Feature Updates: A Long-Term Study of Using Wearable-Based Exergames. CHI 2017: 1053-1064
2016
[c10]
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Zhao Zhao, S. Ali Etemad, Anthony D. Whitehead, Ali Arya:
Motivational Impacts and Sustainability Analysis of a Wearable-based Gamified Exercise and Fitness System. CHI PLAY (Companion) 2016: 359-365
[c9]
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Zhao Zhao, S. Ali Etemad, Ali Arya, Anthony D. Whitehead:
Usability and Motivational Effects of a Gamified Exercise and Fitness System Based on Wearable Devices. HCI (17) 2016: 333-344
2013
[c8]
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Farzin Farhadi-Niaki, S. Ali Etemad, Ali Arya:
Design and Usability Analysis of Gesture-Based Control for Common Desktop Tasks. HCI (4) 2013: 215-224
[c7]
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S. Ali Etemad, Ali Arya:
A Customizable Time Warping Method for Motion Alignment. ICSC 2013: 387-388
2012
[c6]
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  - conf/crv/BoroujeniEW12
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Nasim Sepehri Boroujeni, S. Ali Etemad, Anthony D. Whitehead:
Robust Horizon Detection Using Segmentation for UAV Applications. CRV 2012: 346-352
[c5]
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Nasim Sepehri Boroujeni, S. Ali Etemad, Anthony D. Whitehead:
Fast obstacle detection using targeted optical flow. ICIP 2012: 65-68
2011
[c4]
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  - conf/vecims/EtemadA11
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Seyed Ali Etemad, Ali Arya:
Separation and extraction of energy variants from human motion using temporal minimization. VECIMS 2011: 73-77
2010
[c3]
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  - conf/grapp/EtemadA10
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Seyed Ali Etemad, Ali Arya:
Modeling and Transformation of 3D Human Motion. GRAPP 2010: 307-315
[c2]
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Seyed Ali Etemad, Gabriel A. Wainer:
DEVS-based modeling of a human motion data synthesis and control system. SummerSim 2010: 469-474
2009
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  - conf/fplay/SlingerEA09
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Paul Slinger, Seyed Ali Etemad, Ali Arya:
Intelligent toolkit for procedural animation of human behaviors. Future Play 2009: 27-28

Informal and Other Publications

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2024
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Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad:
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. CoRR abs/2401.14107 (2024)
[i90]
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  - journals/corr/abs-2403-10561
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Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024)
[i89]
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  - journals/corr/abs-2403-14392
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Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali Etemad:
A Bag of Tricks for Few-Shot Class-Incremental Learning. CoRR abs/2403.14392 (2024)
2023
[i88]
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Amirhossein Hajavi, Ali Etemad:
Audio Representation Learning by Distilling Video as Privileged Information. CoRR abs/2302.02845 (2023)
[i87]
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  - journals/corr/abs-2302-13170
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Guangyi Zhang, Ali Etemad:
Partial Label Learning for Emotion Recognition from EEG. CoRR abs/2302.13170 (2023)
[i86]
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  - journals/corr/abs-2303-05691
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Vandad Davoodnia, Ali Etemad:
Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers. CoRR abs/2303.05691 (2023)
[i85]
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Amirhossein Hajavi, Ali Etemad:
A Study on Bias and Fairness In Deep Speaker Recognition. CoRR abs/2303.08026 (2023)
[i84]
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Prithila Angkan, Behnam Behinaein, Zunayed Mahmud, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines. CoRR abs/2304.04273 (2023)
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Sahar Soltanieh, Javad Hashemi, Ali Etemad:
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection. CoRR abs/2304.06427 (2023)
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Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu:
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR abs/2305.14373 (2023)
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  - journals/corr/abs-2306-01141
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Divij Gupta, Ali Etemad:
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. CoRR abs/2306.01141 (2023)
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Shuvendu Roy, Ali Etemad:
Consistency-guided Prompt Learning for Vision-Language Models. CoRR abs/2306.01195 (2023)
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Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. CoRR abs/2306.01222 (2023)
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  - journals/corr/abs-2306-01229
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Shuvendu Roy, Ali Etemad:
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data. CoRR abs/2306.01229 (2023)
[i77]
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Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. CoRR abs/2306.02014 (2023)
[i76]
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Mojtaba Kolahdouzi, Ali Etemad:
Toward Fair Facial Expression Recognition with Improved Distribution Alignment. CoRR abs/2306.06696 (2023)
[i75]
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Sayantan Das, Mojtaba Kolahdouzi, Levent Özparlak, Will Hickie, Ali Etemad:
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection. CoRR abs/2306.06881 (2023)
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  - journals/corr/abs-2306-12660
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Farhad Pourpanah, Ali Etemad:
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. CoRR abs/2306.12660 (2023)
[i73]
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Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework. CoRR abs/2306.13275 (2023)
[i72]
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  - journals/corr/abs-2306-15117
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Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. CoRR abs/2306.15117 (2023)
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Shuvendu Roy, Ali Etemad:
Active Learning with Contrastive Pre-training for Facial Expression Recognition. CoRR abs/2307.02744 (2023)
[i70]
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  - journals/corr/abs-2307-03786
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Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer. CoRR abs/2307.03786 (2023)
[i69]
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Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad:
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. CoRR abs/2308.00246 (2023)
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Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. CoRR abs/2308.13568 (2023)
[i67]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction. CoRR abs/2308.16801 (2023)
[i66]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Diffusion Models with Deterministic Normalizing Flow Priors. CoRR abs/2309.01274 (2023)
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Debaditya Shome, Ali Etemad:
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. CoRR abs/2309.04849 (2023)
[i64]
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Divij Gupta, Ali Etemad:
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training. CoRR abs/2310.15388 (2023)
[i63]
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Shuvendu Roy, Ali Etemad:
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition. CoRR abs/2311.06852 (2023)
[i62]
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  - journals/corr/abs-2312-01187
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Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield:
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer. CoRR abs/2312.01187 (2023)
2022
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  - journals/corr/abs-2202-05400
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Guangyi Zhang, Ali Etemad:
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. CoRR abs/2202.05400 (2022)
[i60]
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Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Multiscale Crowd Counting and Localization By Multitask Point Supervision. CoRR abs/2202.09942 (2022)
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  - journals/corr/abs-2205-06887
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Pritam Sarkar, Aaron Posen, Ali Etemad:
AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. CoRR abs/2205.06887 (2022)
[i58]
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Leyla Khaleghi, Joshua A. Marshall, Ali Etemad:
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. CoRR abs/2206.00171 (2022)
[i57]
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Anubhav Bhatti, Behnam Behinaein, Paul Hungler, Ali Etemad:
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition. CoRR abs/2206.04625 (2022)
[i56]
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Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators. CoRR abs/2206.06518 (2022)
[i55]
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Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. CoRR abs/2206.07656 (2022)
[i54]
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Zunayed Mahmud, Paul Hungler, Ali Etemad:
Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning. CoRR abs/2206.09256 (2022)
[i53]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. CoRR abs/2207.06985 (2022)
[i52]
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Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. CoRR abs/2207.10006 (2022)
[i51]
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Shuvendu Roy, Ali Etemad:
Analysis of Semi-Supervised Methods for Facial Expression Recognition. CoRR abs/2208.00544 (2022)
[i50]
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  - journals/corr/abs-2209-00760
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Shuvendu Roy, Ali Etemad:
Temporal Contrastive Learning with Curriculum. CoRR abs/2209.00760 (2022)
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  - journals/corr/abs-2209-00990
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Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning. CoRR abs/2209.00990 (2022)
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Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
FaceTopoNet: Facial Expression Recognition using Face Topology Learning. CoRR abs/2209.06322 (2022)
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  - journals/corr/abs-2211-13929
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Pritam Sarkar, Ali Etemad:
XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning. CoRR abs/2211.13929 (2022)
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  - journals/corr/abs-2211-14912
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Shuvendu Roy, Ali Etemad:
Impact of Labelled Set Selection and Supervision Policies on Semi-supervised Learning. CoRR abs/2211.14912 (2022)
2021
[i45]
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Depth as Attention for Face Representation Learning. CoRR abs/2101.00652 (2021)
[i44]
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Alireza Sepas-Moghaddam, Ali Etemad, Fernando Pereira, Paulo Lobato Correia:
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing. CoRR abs/2101.03503 (2021)
[i43]
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  - journals/corr/abs-2102-09546
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Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. CoRR abs/2102.09546 (2021)
[i42]
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Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. CoRR abs/2102.13307 (2021)
[i41]
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Vandad Davoodnia, Ali Etemad:
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. CoRR abs/2104.02159 (2021)
[i40]
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  - journals/corr/abs-2104-02424
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. CoRR abs/2104.02424 (2021)
[i39]
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Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. CoRR abs/2104.02527 (2021)
[i38]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-based Autoregressive Structured Prediction of Human Motion. CoRR abs/2104.04391 (2021)
[i37]
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Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. CoRR abs/2104.11854 (2021)
[i36]
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Guangyi Zhang, Ali Etemad:
Distilling EEG Representations via Capsules for Affective Computing. CoRR abs/2105.00104 (2021)
[i35]
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Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad:
Multi-Perspective LSTM for Joint Visual Representation Learning. CoRR abs/2105.02802 (2021)
[i34]
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Guangyi Zhang, Ali Etemad:
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. CoRR abs/2107.13505 (2021)
[i33]
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  - journals/corr/abs-2108-02241
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Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition. CoRR abs/2108.02241 (2021)
[i32]
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  - journals/corr/abs-2108-03064
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Shuvendu Roy, Ali Etemad:
Spatiotemporal Contrastive Learning of Facial Expressions in Videos. CoRR abs/2108.03064 (2021)
[i31]
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  - journals/corr/abs-2108-06723
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Shuvendu Roy, Ali Etemad:
Self-supervised Contrastive Learning of Multi-view Facial Expressions. CoRR abs/2108.06723 (2021)
[i30]
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  - journals/corr/abs-2108-09737
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Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
A Transformer Architecture for Stress Detection from ECG. CoRR abs/2108.09737 (2021)
[i29]
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  - journals/corr/abs-2109-00594
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Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Wearable-based Classification of Running Styles with Deep Learning. CoRR abs/2109.00594 (2021)
[i28]
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  - journals/corr/abs-2109-11732
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Guangyi Zhang, Ali Etemad:
Holistic Semi-Supervised Approaches for EEG Representation Learning. CoRR abs/2109.11732 (2021)
[i27]
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  - journals/corr/abs-2109-11747
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Leyla Khaleghi, Alireza Sepas-Moghaddam, Joshua A. Marshall, Ali Etemad:
Multi-View Video-Based 3D Hand Pose Estimation. CoRR abs/2109.11747 (2021)
[i26]
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  - journals/corr/abs-2111-05329
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Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity. CoRR abs/2111.05329 (2021)
[i25]
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  - journals/corr/abs-2112-00971
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Shashi Suman, François Rivest, Ali Etemad:
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. CoRR abs/2112.00971 (2021)
[i24]
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  - journals/corr/abs-2112-02487
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Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
Face Trees for Expression Recognition. CoRR abs/2112.02487 (2021)
[i23]
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  - journals/corr/abs-2112-07878
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Zunayed Mahmud, Paul Hungler, Ali Etemad:
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning. CoRR abs/2112.07878 (2021)
2020
[i22]
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  - journals/corr/abs-2002-03898
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Pritam Sarkar, Ali Etemad:
Self-supervised ECG Representation Learning for Emotion Recognition. CoRR abs/2002.03898 (2020)
[i21]
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  - journals/corr/abs-2003-00168
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Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. CoRR abs/2003.00168 (2020)
[i20]
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  - journals/corr/abs-2006-10453
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Vandad Davoodnia, Monet Slinowsky, Ali Etemad:
Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds. CoRR abs/2006.10453 (2020)
[i19]
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  - journals/corr/abs-2008-08633
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Guangyi Zhang, S. Ali Etemad:
RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces. CoRR abs/2008.08633 (2020)
[i18]
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  - journals/corr/abs-2008-10726
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Kyle Ross, Paul Hungler, Ali Etemad:
Unsupervised Multi-Modal Representation Learning for Affective Computing with Multi-Corpus Wearable Data. CoRR abs/2008.10726 (2020)
[i17]
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  - journals/corr/abs-2009-01822
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Amirhossein Hajavi, Ali Etemad:
Knowing What to Listen to: Early Attention for Deep Speech Representation Learning. CoRR abs/2009.01822 (2020)
[i16]
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  - journals/corr/abs-2009-11394
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Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning. CoRR abs/2009.11394 (2020)
[i15]
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  - journals/corr/abs-2009-12197
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Arthur Cruz de Araujo, Ali Etemad:
End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications. CoRR abs/2009.12197 (2020)
[i14]
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  - journals/corr/abs-2009-13480
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Amirhossein Hajavi, Ali Etemad:
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild. CoRR abs/2009.13480 (2020)
[i13]
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  - journals/corr/abs-2010-00104
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Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. CoRR abs/2010.00104 (2020)
[i12]
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  - journals/corr/abs-2010-09084
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Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje, Ali Etemad:
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules. CoRR abs/2010.09084 (2020)
[i11]
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  - journals/corr/abs-2010-09092
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Alireza Sepas-Moghaddam, S. Ali Etemad:
View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations. CoRR abs/2010.09092 (2020)
[i10]
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  - journals/corr/abs-2010-09950
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Saeed Ghorbani, Calden Wloka, Ali Etemad, Marcus A. Brubaker, Nikolaus F. Troje:
Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model. CoRR abs/2010.09950 (2020)
[i9]
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  - journals/corr/abs-2010-13713
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Setareh Rahimi Taghanaki, Ali Etemad:
Self-supervised Wearable-based Activity Recognition by Learning to Forecast Motion. CoRR abs/2010.13713 (2020)
2019
[i8]
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  - journals/corr/abs-1907-10420
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Amirhossein Hajavi, Ali Etemad:
A Deep Neural Network for Short-Segment Speaker Recognition. CoRR abs/1907.10420 (2019)
[i7]
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Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje:
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. CoRR abs/1907.13580 (2019)
[i6]
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  - journals/corr/abs-1908-00385
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Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad:
Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. CoRR abs/1908.00385 (2019)
[i5]
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  - journals/corr/abs-1908-02252
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Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, S. Ali Etemad:
Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network. CoRR abs/1908.02252 (2019)
[i4]
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  - journals/corr/abs-1908-08919
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Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
In-bed Pressure-based Pose Estimation using Image Space Representation Learning. CoRR abs/1908.08919 (2019)
[i3]
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  - journals/corr/abs-1910-07497
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Pritam Sarkar, Ali Etemad:
Self-supervised Learning for ECG-based Emotion Recognition. CoRR abs/1910.07497 (2019)
[i2]
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  - journals/corr/abs-1910-12590
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Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory. CoRR abs/1910.12590 (2019)
[i1]
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  - journals/corr/abs-1912-07812
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Guangyi Zhang, S. Ali Etemad:
Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation. CoRR abs/1912.07812 (2019)

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