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S. Ali Etemad – Seyed Ali Etemad
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2020 – today
- 2024
[j42]Anubhav Bhatti
, Behnam Behinaein, Paul Hungler, Ali Etemad:
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition. ACM Trans. Comput. Heal. 5(3): 16:1-16:24 (2024)- [j41]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) - [j40]Amirhossein Hajavi, Ali Etemad:
Audio Representation Learning by Distilling Video as Privileged Information. IEEE Trans. Artif. Intell. 5(1): 446-456 (2024) - [j39]Zunayed Mahmud, Paul Hungler, Ali Etemad:
Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning. IEEE Trans. Artif. Intell. 5(8): 4232-4246 (2024) - [j38]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) - [j37]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) - [j36]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) - [j35]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. IEEE Trans. Intell. Transp. Syst. 25(6): 5949-5964 (2024) - [j34]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) - [c72]Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. AAAI 2024: 14847-14856 - [c71]Pritam Sarkar, Ali Etemad:
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. AAAI 2024: 14875-14885 - [c70]Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. AAAI 2024: 15009-15019 - [c69]Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad:
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-view and Temporal Cues. ECCV (16) 2024: 19-38 - [c68]Debaditya Shome, Ali Etemad:
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. ICASSP 2024: 11976-11980 - [c67]Shuvendu Roy, Ali Etemad:
Consistency-guided Prompt Learning for Vision-Language Models. ICLR 2024 - [c66]Mohd Ashhad, Sana Rahmani, Mohammed Fayiz, Ali Etemad, Javad Hashemi:
Uncertainty-Aware Multi-view Arrhythmia Classification from ECG. IJCNN 2024: 1-6 - [i102]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) - [i101]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) - [i100]Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali Etemad:
A Bag of Tricks for Few-Shot Class-Incremental Learning. CoRR abs/2403.14392 (2024) - [i99]Vandad Davoodnia, Saeed Ghorbani, Alexandre Messier, Ali Etemad:
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers. CoRR abs/2404.12625 (2024) - [i98]Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad:
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues. CoRR abs/2404.14634 (2024) - [i97]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, Ali Etemad, Paul Hungler:
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data. CoRR abs/2404.17098 (2024) - [i96]Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad:
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients. CoRR abs/2405.16304 (2024) - [i95]Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad:
Few-shot Tuning of Foundation Models for Class-incremental Learning. CoRR abs/2405.16625 (2024) - [i94]Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister:
Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR abs/2405.18654 (2024) - [i93]Shivam Grover, Amin Jalali, Ali Etemad:
Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations. CoRR abs/2405.20082 (2024) - [i92]Shuvendu Roy, Yasaman Parhizkar, Franklin Ogidi, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Elham Dolatabadi, Arash Afkanpour:
Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning. CoRR abs/2406.07450 (2024) - [i91]Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, Shane Luke:
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. CoRR abs/2409.01227 (2024) - [i90]Debaditya Shome, Nasim Montazeri Ghahjaverestan, Ali Etemad:
NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series. CoRR abs/2409.04723 (2024) - [i89]Nishq Poorav Desai, Ali Etemad, Michael A. Greenspan:
CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis. CoRR abs/2409.19942 (2024) - 2023
- [j33]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]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]Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 264-284 (2023) - [j30]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]Guangyi Zhang, Ali Etemad:
Distilling EEG representations via capsules for affective computing. Pattern Recognit. Lett. 171: 99-105 (2023) - [j28]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]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]Amirhossein Hajavi, Ali Etemad:
Fine-Grained Early Frequency Attention for Deep Speaker Representation Learning. IEEE Trans. Artif. Intell. 4(6): 1413-1425 (2023) - [j25]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]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) - [c65]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]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]Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. AAAI 2023: 9723-9732 - [c62]Shuvendu Roy, Ali Etemad:
Active Learning with Contrastive Pre-training for Facial Expression Recognition. ACII 2023: 1-8 - [c61]Vandad Davoodnia, Ali Etemad:
Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-Temporal Masked Transformers. ICASSP 2023: 1-5 - [c60]Amirhossein Hajavi, Ali Etemad:
A Study on Bias and Fairness in Deep Speaker Recognition. ICASSP 2023: 1-5 - [c59]Shuvendu Roy, Ali Etemad:
Temporal Contrastive Learning with Curriculum. ICASSP 2023: 1-5 - [c58]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]Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. ICIP 2023: 2535-2539 - [c56]Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. ICIP 2023: 2685-2689 - [c55]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]Mojtaba Kolahdouzi, Ali Etemad:
Toward Fair Facial Expression Recognition with Improved Distribution Alignment. ICMI 2023: 574-583 - [c53]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. NeurIPS 2023 - [c52]Divij Gupta, Ali Etemad:
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. SMC 2023: 706-712 - [i88]Amirhossein Hajavi, Ali Etemad:
Audio Representation Learning by Distilling Video as Privileged Information. CoRR abs/2302.02845 (2023) - [i87]Guangyi Zhang, Ali Etemad:
Partial Label Learning for Emotion Recognition from EEG. CoRR abs/2302.13170 (2023) - [i86]Vandad Davoodnia, Ali Etemad:
Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers. CoRR abs/2303.05691 (2023) - [i85]Amirhossein Hajavi, Ali Etemad:
A Study on Bias and Fairness In Deep Speaker Recognition. CoRR abs/2303.08026 (2023) - [i84]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) - [i83]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) - [i82]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) - [i81]Divij Gupta, Ali Etemad:
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. CoRR abs/2306.01141 (2023) - [i80]Shuvendu Roy, Ali Etemad:
Consistency-guided Prompt Learning for Vision-Language Models. CoRR abs/2306.01195 (2023) - [i79]Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. CoRR abs/2306.01222 (2023) - [i78]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]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. CoRR abs/2306.02014 (2023) - [i76]Mojtaba Kolahdouzi, Ali Etemad:
Toward Fair Facial Expression Recognition with Improved Distribution Alignment. CoRR abs/2306.06696 (2023) - [i75]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) - [i74]Farhad Pourpanah, Ali Etemad:
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. CoRR abs/2306.12660 (2023) - [i73]Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad:
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework. CoRR abs/2306.13275 (2023) - [i72]Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan:
Continual Learning for Out-of-Distribution Pedestrian Detection. CoRR abs/2306.15117 (2023) - [i71]Shuvendu Roy, Ali Etemad:
Active Learning with Contrastive Pre-training for Facial Expression Recognition. CoRR abs/2307.02744 (2023) - [i70]Haleh Damirchi, Michael A. Greenspan, Ali Etemad:
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer. CoRR abs/2307.03786 (2023) - [i69]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) - [i68]Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. CoRR abs/2308.13568 (2023) - [i67]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]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Diffusion Models with Deterministic Normalizing Flow Priors. CoRR abs/2309.01274 (2023) - [i65]Debaditya Shome, Ali Etemad:
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. CoRR abs/2309.04849 (2023) - [i64]Divij Gupta, Ali Etemad:
Remote Heart Rate Monitoring in Smart Environments from Videos with Self-supervised Pre-training. CoRR abs/2310.15388 (2023) - [i63]Shuvendu Roy, Ali Etemad:
Contrastive Learning of View-Invariant Representations for Facial Expressions Recognition. CoRR abs/2311.06852 (2023) - [i62]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
- [j23]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]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]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]Pritam Sarkar, Ali Etemad:
Self-Supervised ECG Representation Learning for Emotion Recognition. IEEE Trans. Affect. Comput. 13(3): 1541-1554 (2022) - [j19]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]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]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]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) - [c51]Shuvendu Roy, Ali Etemad:
Analysis of Semi-Supervised Methods for Facial Expression Recognition. ACII 2022: 1-8 - [c50]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]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. ECCV (10) 2022: 390-406 - [c48]Guangyi Zhang, Ali Etemad:
Holistic Semi-Supervised Approaches for EEG Representation Learning. ICASSP 2022: 1241-1245 - [c47]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]Leyla Khaleghi, Joshua A. Marshall, Ali Etemad:
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. ICPR 2022: 535-541 - [c45]Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. IJCNN 2022: 1-6 - [c44]Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. IJCNN 2022: 1-10 - [i61]Guangyi Zhang, Ali Etemad:
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition. CoRR abs/2202.05400 (2022) - [i60]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) - [i59]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]Leyla Khaleghi, Joshua A. Marshall, Ali Etemad:
Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. CoRR abs/2206.00171 (2022) - [i57]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]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]Sahar Soltanieh, Ali Etemad, Javad Hashemi:
Analysis of Augmentations for Contrastive ECG Representation Learning. CoRR abs/2206.07656 (2022) - [i54]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]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. CoRR abs/2207.06985 (2022) - [i52]Amirhossein Hajavi, Ali Etemad:
Fine-grained Early Frequency Attention for Deep Speaker Recognition. CoRR abs/2207.10006 (2022) - [i51]Shuvendu Roy, Ali Etemad:
Analysis of Semi-Supervised Methods for Facial Expression Recognition. CoRR abs/2208.00544 (2022) - [i50]Shuvendu Roy, Ali Etemad:
Temporal Contrastive Learning with Curriculum. CoRR abs/2209.00760 (2022) - [i49]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) - [i48]Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
FaceTopoNet: Facial Expression Recognition using Face Topology Learning. CoRR abs/2209.06322 (2022) - [i47]Pritam Sarkar, Ali Etemad:
XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning. CoRR abs/2211.13929 (2022) - [i46]Shuvendu Roy, Ali Etemad:
Impact of Labelled Set Selection and Supervision Policies on Semi-supervised Learning. CoRR abs/2211.14912 (2022) - 2021
- [j15]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]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]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]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]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]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]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) - [c43]Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. AAAI 2021: 488-496 - [c42]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]Shuvendu Roy, Ali Etemad:
Spatiotemporal Contrastive Learning of Facial Expressions in Videos. ACII 2021: 1-8 - [c40]Guangyi Zhang, Ali Etemad:
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. ACII 2021: 1-8 - [c39]Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad:
Multi-Perspective LSTM for Joint Visual Representation Learning. CVPR 2021: 16540-16548 - [c38]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]Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
Face Trees for Expression Recognition. FG 2021: 1-5 - [c36]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]Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning. ICASSP 2021: 3965-3969 - [c34]Amirhossein Hajavi, Ali Etemad:
Siamese Capsule Network for End-to-End Speaker Recognition in the Wild. ICASSP 2021: 7203-7207 - [c33]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad:
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. ICCV 2021: 3651-3660 - [c32]Shuvendu Roy, Ali Etemad:
Self-supervised Contrastive Learning of Multi-view Facial Expressions. ICMI 2021: 253-257 - [c31]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]Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
A Transformer Architecture for Stress Detection from ECG. ISWC 2021: 132-134 - [i45]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Depth as Attention for Face Representation Learning. CoRR abs/2101.00652 (2021) - [i44]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]Alireza Sepas-Moghaddam, Ali Etemad:
Deep Gait Recognition: A Survey. CoRR abs/2102.09546 (2021) - [i42]Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. CoRR abs/2102.13307 (2021) - [i41]Vandad Davoodnia, Ali Etemad:
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. CoRR abs/2104.02159 (2021) - [i40]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]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]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Flow-based Autoregressive Structured Prediction of Human Motion. CoRR abs/2104.04391 (2021) - [i37]Mohsen Zand, Ali Etemad, Michael A. Greenspan:
Oriented Bounding Boxes for Small and Freely Rotated Objects. CoRR abs/2104.11854 (2021) - [i36]Guangyi Zhang, Ali Etemad:
Distilling EEG Representations via Capsules for Affective Computing. CoRR abs/2105.00104 (2021) - [i35]Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad:
Multi-Perspective LSTM for Joint Visual Representation Learning. CoRR abs/2105.02802 (2021) - [i34]Guangyi Zhang, Ali Etemad:
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. CoRR abs/2107.13505 (2021) - [i33]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]Shuvendu Roy, Ali Etemad:
Spatiotemporal Contrastive Learning of Facial Expressions in Videos. CoRR abs/2108.03064 (2021) - [i31]Shuvendu Roy, Ali Etemad:
Self-supervised Contrastive Learning of Multi-view Facial Expressions. CoRR abs/2108.06723 (2021) - [i30]Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad:
A Transformer Architecture for Stress Detection from ECG. CoRR abs/2108.09737 (2021) - [i29]Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad:
Wearable-based Classification of Running Styles with Deep Learning. CoRR abs/2109.00594 (2021) - [i28]Guangyi Zhang, Ali Etemad:
Holistic Semi-Supervised Approaches for EEG Representation Learning. CoRR abs/2109.11732 (2021) - [i27]Leyla Khaleghi, Alireza Sepas-Moghaddam, Joshua A. Marshall, Ali Etemad:
Multi-View Video-Based 3D Hand Pose Estimation. CoRR abs/2109.11747 (2021) - [i26]Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity. CoRR abs/2111.05329 (2021) - [i25]Shashi Suman, François Rivest, Ali Etemad:
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. CoRR abs/2112.00971 (2021) - [i24]Mojtaba Kolahdouzi, Alireza Sepas-Moghaddam, Ali Etemad:
Face Trees for Expression Recognition. CoRR abs/2112.02487 (2021) - [i23]Zunayed Mahmud, Paul Hungler, Ali Etemad:
Gaze Estimation with Eye Region Segmentation and Self-Supervised Multistream Learning. CoRR abs/2112.07878 (2021) - 2020
- [j8]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]Gelareh Hajian, Ali Etemad, Evelyn Morin:
Automated Channel Selection in High-Density sEMG for Improved Force Estimation. Sensors 20(17): 4858 (2020) - [c29]Pritam Sarkar, Ali Etemad:
Self-Supervised Learning for ECG-Based Emotion Recognition. ICASSP 2020: 3217-3221 - [c28]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]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]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]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 - [i22]Pritam Sarkar, Ali Etemad:
Self-supervised ECG Representation Learning for Emotion Recognition. CoRR abs/2002.03898 (2020) - [i21]Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, S. Ali Etemad:
Attention-aware fusion RGB-D face recognition. CoRR abs/2003.00168 (2020) - [i20]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]Guangyi Zhang, S. Ali Etemad:
RFNet: Riemannian Fusion Network for EEG-based Brain-Computer Interfaces. CoRR abs/2008.08633 (2020) - [i18]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]Amirhossein Hajavi, Ali Etemad:
Knowing What to Listen to: Early Attention for Deep Speech Representation Learning. CoRR abs/2009.01822 (2020) - [i16]Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad:
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning. CoRR abs/2009.11394 (2020) - [i15]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]Amirhossein Hajavi, Ali Etemad:
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild. CoRR abs/2009.13480 (2020) - [i13]Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. CoRR abs/2010.00104 (2020) - [i12]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]Alireza Sepas-Moghaddam, S. Ali Etemad:
View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations. CoRR abs/2010.09092 (2020) - [i10]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]Setareh Rahimi Taghanaki, Ali Etemad:
Self-supervised Wearable-based Activity Recognition by Learning to Forecast Motion. CoRR abs/2010.13713 (2020)
2010 – 2019
- 2019
- [j6]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) - [c24]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]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]Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje:
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. CGI 2019: 167-178 - [c21]Gelareh Hajian, Evelyn Morin, Ali Etemad:
PCA-Based Channel Selection in High-Density EMG for Improving Force Estimation. EMBC 2019: 652-655 - [c20]Gelareh Hajian, Ali Etemad, Evelyn Morin:
An Investigation of Dimensionality Reduction Techniques for EMG-based Force Estimation. EMBC 2019: 698-701 - [c19]Pritam Sarkar, Vandad Davoodnia, Ali Etemad:
Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. ICMLA 2019: 410-413 - [c18]Arthur Cruz de Araujo, Ali Etemad:
Deep Neural Networks for Predicting Vehicle Travel Times. IEEE SENSORS 2019: 1-4 - [c17]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]Amirhossein Hajavi, Ali Etemad:
A Deep Neural Network for Short-Segment Speaker Recognition. INTERSPEECH 2019: 2878-2882 - [c15]Vandad Davoodnia, Ali Etemad:
Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. SMC 2019: 3054-3059 - [i8]Amirhossein Hajavi, Ali Etemad:
A Deep Neural Network for Short-Segment Speaker Recognition. CoRR abs/1907.10420 (2019) - [i7]Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje:
Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. CoRR abs/1907.13580 (2019) - [i6]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]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]Vandad Davoodnia, Saeed Ghorbani, Ali Etemad:
In-bed Pressure-based Pose Estimation using Image Space Representation Learning. CoRR abs/1908.08919 (2019) - [i3]Pritam Sarkar, Ali Etemad:
Self-supervised Learning for ECG-based Emotion Recognition. CoRR abs/1910.07497 (2019) - [i2]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]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) - 2018
- [c14]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]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]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]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
- [j5]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]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) - [c10]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]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 - 2015
- [j3]S. Ali Etemad, Ali Arya:
Correlation-optimized time warping for motion. Vis. Comput. 31(12): 1569-1586 (2015) - 2014
- [j2]S. Ali Etemad, Ali Arya:
Classification and translation of style and affect in human motion using RBF neural networks. Neurocomputing 129: 585-595 (2014) - 2013
- [c8]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]S. Ali Etemad, Ali Arya:
A Customizable Time Warping Method for Motion Alignment. ICSC 2013: 387-388 - 2012
- [c6]Nasim Sepehri Boroujeni, S. Ali Etemad, Anthony D. Whitehead:
Robust Horizon Detection Using Segmentation for UAV Applications. CRV 2012: 346-352 - [c5]Nasim Sepehri Boroujeni, S. Ali Etemad, Anthony D. Whitehead:
Fast obstacle detection using targeted optical flow. ICIP 2012: 65-68 - 2011
- [j1]S. Ali Etemad, Tony White:
An ant-inspired algorithm for detection of image edge features. Appl. Soft Comput. 11(8): 4883-4893 (2011) - [c4]Seyed Ali Etemad, Ali Arya:
Separation and extraction of energy variants from human motion using temporal minimization. VECIMS 2011: 73-77 - 2010
- [c3]Seyed Ali Etemad, Ali Arya:
Modeling and Transformation of 3D Human Motion. GRAPP 2010: 307-315 - [c2]Seyed Ali Etemad, Gabriel A. Wainer:
DEVS-based modeling of a human motion data synthesis and control system. SummerSim 2010: 469-474
2000 – 2009
- 2009
- [c1]Paul Slinger, Seyed Ali Etemad, Ali Arya:
Intelligent toolkit for procedural animation of human behaviors. Future Play 2009: 27-28
Coauthor Index
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