Etemad, Ali

36 publications

TMLR 2025 Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
WACV 2025 CycleCrash: A Dataset of Bicycle Collision Videos for Collision Prediction and Analysis Nishq Poorav Desai, Ali Etemad, Michael Greenspan
AAAI 2025 Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad
TMLR 2025 Kernel Space Conditional Distribution Alignment for Improving Group Fairness in Deepfake Detection Sayantan Das, Mojtaba Kolahdouzi, Ali Etemad
TMLR 2025 Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing Amin Jalali, Milad Soltany, Michael Greenspan, Ali Etemad
ECML-PKDD 2025 Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger
ICLR 2025 Mitigating Object Hallucination in MLLMs via Data-Augmented Phrase-Level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan O Arik, Tomas Pfister
ICCV 2025 PRISM: Reducing Spurious Implicit Biases in Vision-Language Models with LLM-Guided Embedding Projection Mahdiyar Molahasani, Azadeh Motamedi, Michael Greenspan, Il-Min Kim, Ali Etemad
AAAI 2025 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
NeurIPS 2025 Self-Alignment of Large Video Language Models with Refined Regularized Preference Optimization Pritam Sarkar, Ali Etemad
WACV 2025 Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting Haleh Damirchi, Ali Etemad, Michael Greenspan
NeurIPS 2025 Some Optimizers Are More Equal: Understanding the Role of Optimizers in Group Fairness Mojtaba Kolahdouzi, Hatice Gunes, Ali Etemad
TMLR 2025 Task-Agnostic Prompt Compression with Context-Aware Sentence Embedding and Reward-Guided Task Descriptor Barys Liskavets, Shuvendu Roy, Maxim Ushakov, Mark Klibanov, Ali Etemad, Shane K. Luke
TMLR 2024 A Bag of Tricks for Few-Shot Class-Incremental Learning Shuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali Etemad
NeurIPSW 2024 A Theoretical Framework for Federated Domain Generalization with Gradient Alignment Mahdiyar Molahasani, Milad Soltany, Farhad Pourpanah, Michael Greenspan, Ali Etemad
ICLR 2024 Consistency-Guided Prompt Learning for Vision-Language Models Shuvendu Roy, Ali Etemad
NeurIPSW 2024 Continual Learning of Foundation Models with Limited Labelled Data Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
TMLR 2024 Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand, Ali Etemad, Michael Greenspan
NeurIPSW 2024 Leveraging Self Weak-Supervision for Improved VLM Performance Shuvendu Roy, Ali Etemad
AAAI 2024 Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation Debaditya Shome, Pritam Sarkar, Ali Etemad
TMLR 2024 SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer Renan A. Rojas-Gomez, Karan Singhal, Ali Etemad, Alex Bijamov, Warren Richard Morningstar, Philip Andrew Mansfield
AAAI 2024 Scaling up Semi-Supervised Learning with Unconstrained Unlabelled Data Shuvendu Roy, Ali Etemad
NeurIPS 2024 Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations Shivam Grover, Amin Jalali, Ali Etemad
ECCVW 2024 SkelFormer: Markerless 3D Pose and Shape Estimation Using Skeletal Transformers Vandad Davoodnia, Saeed Ghorbani, Alexandre Messier, Ali Etemad
ECCV 2024 UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad
AAAI 2024 XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning Pritam Sarkar, Ali Etemad
AAAI 2023 AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work Pritam Sarkar, Aaron Posen, Ali Etemad
NeurIPSW 2023 Continual Learning for Long-Tailed Recognition: Bridging the Gap in Theory and Practice Mahdiyar Molahasani, Ali Etemad, Michael Greenspan
NeurIPSW 2023 Learning Through Consistency for Prompt Tuning Shuvendu Roy, Ali Etemad
AAAI 2023 Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity Pritam Sarkar, Ali Etemad
NeurIPS 2023 Uncovering the Hidden Dynamics of Video Self-Supervised Learning Under Distribution Shifts Pritam Sarkar, Ahmad Beirami, Ali Etemad
ECCV 2022 ObjectBox: From Centers to Boxes for Anchor-Free Object Detection Mohsen Zand, Ali Etemad, Michael Greenspan
ECCV 2022 Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan
AAAI 2021 CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG Pritam Sarkar, Ali Etemad
CVPR 2021 Multi-Perspective LSTM for Joint Visual Representation Learning Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad
ICCV 2021 Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan, Ali Etemad