Sriram Yenamandra

I am a Master's student at Georgia Tech, advised by Prof. Dhruv Batra and Prof. Judy Hoffman.

I earned my bachelor's degree in Computer Science and Engineering with a minor in Applied Statistics from IIT Bombay, where I was advised by Prof. Suyash Awate.

Email / CV / Google Scholar / Twitter / Github

Research Interests

My research interests lie in machine learning and computer vision. My goal is to develop artificial agents that can adapt to new environments and tasks with limited supervision. Towards this, I wish to work on understanding the working of foundation models and on developing sample-efficient methods for improving their adaptation.

News

[Nov '22] Presenting our work on Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency in-person at NeurIPS 2022.

Publications	(*=equal contribution)
	Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency Viraj Prabhu, Sriram Yenamandra, Aaditya Singh, Judy Hoffman NeurIPS, 2022 arXiv / code
	Housekeep: Tidying Virtual Households using Commonsense Reasoning Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, and Harsh Agrawal ECCV, 2022 project page / arXiv / code / colab
	Semi-Supervised Deep Expectation-Maximization for Low-Dose PET-CT Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate ISBI, 2022 (Best paper award) paper
	Learning Image Inpainting from Incomplete Images using Self-Supervision Sriram Yenamandra, Ansh Khurana, Rohit Jena, Suyash P. Awate ICPR, 2020 paper

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