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.
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Publications
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(*=equal contribution)
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HomeRobot: Open Vocabulary Mobile Manipulation
Sriram Yenamandra*, Arun Ramachandran*, Karmesh Yadav*, Austin Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John Turner, Zsolt Kira, Manolis Savva,
Angel Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
Preprint
arXiv /
code
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LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
Preprint
arXiv /
code[coming soon]
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Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency
Viraj Prabhu*, Sriram Yenamandra*, Aaditya Singh, Judy Hoffman
NeurIPS, 2022
arXiv /
code
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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
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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
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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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