| 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 |
| 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 |
| 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 |
| 2021 | AAAI | CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. | Pritam Sarkar, 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 |
| 2020 | ICASSP | Self-Supervised Learning for ECG-Based Emotion Recognition. | Pritam Sarkar, 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 | ICMLA | Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. | Pritam Sarkar, Vandad Davoodnia, Ali Etemad |