| 2026 | ICPR | CollideNet: Hierarchical Multi-scale Video Representation Learning with Disentanglement for Time-To-Collision Forecasting. | Nishq Poorav Desai, Michael A. Greenspan, Ali Etemad |
| 2025 | AAAI | Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference. | Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad, Shane K. Luke |
| 2025 | AAAI | Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. | Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad |
| 2025 | ICASSP | Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders. | Aditya Mishra, Ahnaf Mozib Samin, Ali Etemad, Javad Hashemi |
| 2025 | ICASSP | Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection. | Sana Rahmani, Reetam Chatterjee, Ali Etemad, Javad Hashemi |
| 2025 | ICASSP | Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training. | Milad Soltany, Farhad Pourpanah, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad |
| 2025 | ICCV | PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection. | Mahdiyar Molahasani, Azadeh Motamedi, Michael A. Greenspan, Il-Min Kim, Ali Etemad |
| 2025 | ICLR | Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. | Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan . Arik, Tomas Pfister |
| 2025 | MICCAI | Advancing Medical Representation Learning Through High-Quality Data. | Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar, Franklin Ogidi, Shuvendu Roy, Sajad Ashkezari, Vahid Reza Khazaie, Michael Colacci, Ali Etemad, Arash Afkanpour, Elham Dolatabadi |
| 2025 | SMC | Leveraging Foundation Models for Calibration-Free c-VEP BCIs. | Mohammadreza Behboodi, Eli Kinney-Lang, Ali Etemad, Adam Kirton, Hatem Abou-Zeid |
| 2025 | WACV | Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting. | Haleh Damirchi, Ali Etemad, Michael A. Greenspan |
| 2025 | WACV | CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis. | Nishq Poorav Desai, Ali Etemad, Michael A. Greenspan |
| 2024 | AAAI | Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. | Shuvendu Roy, Ali Etemad |
| 2024 | AAAI | XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. | Pritam Sarkar, Ali Etemad |
| 2024 | AAAI | Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. | Debaditya Shome, Pritam Sarkar, Ali Etemad |
| 2024 | ECCV | UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-view and Temporal Cues. | Vandad Davoodnia, Saeed Ghorbani, Marc-Andr Carbonneau, Alexandre Messier, Ali Etemad |
| 2024 | ECCV | SkelFormer: Markerless 3D Pose and Shape Estimation Using Skeletal Transformers. | Vandad Davoodnia, Saeed Ghorbani, Alexandre Messier, Ali Etemad |
| 2024 | ICASSP | Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. | Debaditya Shome, Ali Etemad |
| 2024 | ICLR | Consistency-guided Prompt Learning for Vision-Language Models. | Shuvendu Roy, Ali Etemad |
| 2024 | ICMI | NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series. | Debaditya Shome, Nasim Montazeri Ghahjaverestan, Ali Etemad |
| 2024 | IJCNN | Uncertainty-Aware Multi-view Arrhythmia Classification from ECG. | Mohd Ashhad, Sana Rahmani, Mohammed Fayiz, Ali Etemad, Javad Hashemi |
| 2023 | AAAI | Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. | Pritam Sarkar, Ali Etemad |
| 2023 | AAAI | AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work. | Pritam Sarkar, Aaron Posen, Ali Etemad |
| 2023 | ACII | Active Learning with Contrastive Pre-training for Facial Expression Recognition. | Shuvendu Roy, Ali Etemad |
| 2023 | ICASSP | Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-Temporal Masked Transformers. | Vandad Davoodnia, Ali Etemad |
| 2023 | ICASSP | A Study on Bias and Fairness in Deep Speaker Recognition. | Amirhossein Hajavi, Ali Etemad |
| 2023 | ICASSP | Temporal Contrastive Learning with Curriculum. | Shuvendu Roy, Ali Etemad |
| 2023 | ICIP | Context-Aware Pedestrian Trajectory Prediction with Multimodal Transformer. | Haleh Damirchi, Michael A. Greenspan, Ali Etemad |
| 2023 | ICIP | Continual Learning for Out-of-Distribution Pedestrian Detection. | Mahdiyar Molahasani, Ali Etemad, Michael A. Greenspan |
| 2023 | ICMI | Toward Fair Facial Expression Recognition with Improved Distribution Alignment. | Mojtaba Kolahdouzi, Ali Etemad |
| 2023 | ICMI | EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. | Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad |
| 2023 | SMC | Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. | Divij Gupta, Ali Etemad |
| 2022 | ACII | Analysis of Semi-Supervised Methods for Facial Expression Recognition. | Shuvendu Roy, Ali Etemad |
| 2022 | ECCV | Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting. | Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael A. Greenspan |
| 2022 | ECCV | ObjectBox: From Centers to Boxes for Anchor-Free Object Detection. | Mohsen Zand, Ali Etemad, Michael A. Greenspan |
| 2022 | ICASSP | Multiscale Crowd Counting and Localization By Multitask Point Supervision. | Mohsen Zand, Haleh Damirchi, Andrew Farley, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad |
| 2022 | ICASSP | Holistic Semi-Supervised Approaches for EEG Representation Learning. | Guangyi Zhang, Ali Etemad |
| 2022 | ICPR | Learning Sequential Contexts using Transformer for 3D Hand Pose Estimation. | Leyla Khaleghi, Joshua A. Marshall, Ali Etemad |
| 2022 | IJCNN | Fine-grained Early Frequency Attention for Deep Speaker Recognition. | Amirhossein Hajavi, Ali Etemad |
| 2022 | IJCNN | Analysis of Augmentations for Contrastive ECG Representation Learning. | Sahar Soltanieh, Ali Etemad, Javad Hashemi |
| 2021 | AAAI | CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. | Pritam Sarkar, Ali Etemad |
| 2021 | ACII | Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition. | Anubhav Bhatti, Behnam Behinaein, Dirk Rodenburg, Paul Hungler, Ali Etemad |
| 2021 | ACII | Spatiotemporal Contrastive Learning of Facial Expressions in Videos. | Shuvendu Roy, Ali Etemad |
| 2021 | ACII | Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition. | Guangyi Zhang, Ali Etemad |
| 2021 | CVPR | Multi-Perspective LSTM for Joint Visual Representation Learning. | Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad |
| 2021 | HAI | Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars. | Rachel Phinnemore, Gabriele Cimolino, Pritam Sarkar, Ali Etemad, T. C. Nicholas Graham |
| 2021 | ICASSP | In-Bed Pressure-Based Pose Estimation Using Image Space Representation Learning. | Vandad Davoodnia, Saeed Ghorbani, Ali Etemad |
| 2021 | ICASSP | Siamese Capsule Network for End-to-End Speaker Recognition in the Wild. | Amirhossein Hajavi, Ali Etemad |
| 2021 | ICCV | Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. | Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad |
| 2021 | ICMI | Self-supervised Contrastive Learning of Multi-view Facial Expressions. | Shuvendu Roy, Ali Etemad |
| 2021 | ISWC | A Transformer Architecture for Stress Detection from ECG. | Behnam Behinaein, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad |
| 2021 | ISWC | Self-supervised Human Activity Recognition by Learning to Predict Cross-Dimensional Motion. | Setareh Rahimi Taghanaki, Michael J. Rainbow, Ali Etemad |
| 2020 | ICASSP | Detecting Multiple Speech Disfluencies Using a Deep Residual Network with Bidirectional Long Short-Term Memory. | Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad |
| 2020 | ICASSP | Self-Supervised Learning for ECG-Based Emotion Recognition. | Pritam Sarkar, Ali Etemad |
| 2020 | ICPR | Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules. | Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje, Ali Etemad |
| 2020 | ICPR | Two-Level Attention-based Fusion Learning for RGB-D Face Recognition. | Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad |
| 2019 | ACII | Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning. | Pritam Sarkar, Kyle Ross, Aaron J. Ruberto, Dirk Rodenburg, Paul Hungler, Ali Etemad |
| 2019 | CGI | Auto-labelling of Markers in Optical Motion Capture by Permutation Learning. | Saeed Ghorbani, Ali Etemad, Nikolaus F. Troje |
| 2019 | ICMLA | Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. | Pritam Sarkar, Vandad Davoodnia, Ali Etemad |
| 2019 | Interspeech | A Deep Neural Network for Short-Segment Speaker Recognition. | Amirhossein Hajavi, Ali Etemad |
| 2019 | SMC | Identity and Posture Recognition in Smart Beds with Deep Multitask Learning. | Vandad Davoodnia, Ali Etemad |