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2020 – today
- 2024
[j3]Anjan Bandyopadhyay
, Sujata Swain, Raj Singh, Pritam Sarkar, Siddhartha Bhattacharyya, Leo Mrsic:
Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing. IEEE Access 12: 51704-51718 (2024)- [c10]Pritam Sarkar, Ali Etemad:
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. AAAI 2024: 14875-14885 - [c9]Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. AAAI 2024: 15009-15019 - [i10]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) - 2023
- [c8]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 - [c7]Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity. AAAI 2023: 9723-9732 - [c6]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. NeurIPS 2023 - [i9]Pritam Sarkar, Ahmad Beirami, Ali Etemad:
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts. CoRR abs/2306.02014 (2023) - [i8]Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. CoRR abs/2308.13568 (2023) - 2022
- [j2]Pritam Sarkar, Ali Etemad:
Self-Supervised ECG Representation Learning for Emotion Recognition. IEEE Trans. Affect. Comput. 13(3): 1541-1554 (2022) - [i7]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) - [i6]Pritam Sarkar, Ali Etemad:
XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning. CoRR abs/2211.13929 (2022) - 2021
- [c5]Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. AAAI 2021: 488-496 - [c4]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 - [i5]Pritam Sarkar, Ali Etemad:
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity. CoRR abs/2111.05329 (2021) - 2020
- [c3]Pritam Sarkar, Ali Etemad:
Self-Supervised Learning for ECG-Based Emotion Recognition. ICASSP 2020: 3217-3221 - [i4]Pritam Sarkar, Ali Etemad:
Self-supervised ECG Representation Learning for Emotion Recognition. CoRR abs/2002.03898 (2020) - [i3]Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. CoRR abs/2010.00104 (2020)
2010 – 2019
- 2019
- [j1]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) - [c2]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 - [c1]Pritam Sarkar, Vandad Davoodnia, Ali Etemad:
Computer-Aided Diagnosis using Class-Weighted Deep Neural Network. ICMLA 2019: 410-413 - [i2]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) - [i1]Pritam Sarkar, Ali Etemad:
Self-supervised Learning for ECG-based Emotion Recognition. CoRR abs/1910.07497 (2019)
Coauthor Index
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