Publications
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(*=equal contribution)
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GOAT: GO to Any Thing
Matthew Chang*, Theophile Gervet*, Mukul Khanna*, Sriram Yenamandra*, Dhruv Shah, So Yeon Min, Kavit Shah, Chris Paxton, Saurabh Gupta, Dhruv Batra, Roozbeh Mottaghi, Jitendra Malik*, Devendra
Singh Chaplot*
RSS 2024
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
NeurIPS 2023
arXiv /
code
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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
CoRL 2023
arXiv /
code
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FACTS: First Amplify Correlations and Then Slice to Discover Bias
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
ICCV 2023
arXiv /
code
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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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