Pritam Sarkar

Orcid: 0000-0003-4000-3604

According to our database1, Pritam Sarkar authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing.
IEEE Access, 2024

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Synchronicity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-Supervised ECG Representation Learning for Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

2021
Self-Supervised Audio-Visual Representation Learning with Relaxed Cross-Modal Temporal Synchronicity.
CoRR, 2021

Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving Cars.
Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Self-Supervised Learning for ECG-Based Emotion Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Toward Dynamically Adaptive Simulation: Multimodal Classification of User Expertise Using Wearable Devices.
Sensors, 2019

Computer-Aided Diagnosis using Class-Weighted Deep Neural Network.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Classification of Cognitive Load and Expertise for Adaptive Simulation using Deep Multitask Learning.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019


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