Gulshan sharma biography sample paper

My research primarily focuses on Human-Centered Artificial Intelligence. I am skilled with deep learning techniques, particularly CNNs, Transformers, and Diffusion Models. My recent publication venues include IEEE-ICASSP'22, ACM-ICMI'22, ACM-MM’22, ACM-MM’23, DGM4H@NeurIPS'23, and IEEE/CVF-WACV W'24.

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  Sharma, A. Dhall and R. Subramanian, "MARS: A Multi-view Contrastive Approach to Human Activity Recognition from Accelerometer Sensor," in IEEE Sensors Letters, doi: 10.1109/LSENS.2024.3357941.

  Gulshan sharma biography sample paper

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• Gulshan Sharma, Chetan Gupta, Aastha Agarwal, Lalit Sharma, Abhinav Dhall; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024, pp. 480-488.

• Gulshan Sharma, Abhinav Dhall, and Ramanathan Subramanian.

  Medic: Mitigating EEG data scarcity via classconditioned diffusion model. In Deep Generative Models for Health Workshop NeurIPS 2023.

• Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramani