Sriram Yenamandra

I am a first year Computer Science PhD student at Stanford University advised by Prof. Dorsa Sadigh. I completed my Master's degree in Computer Science (Machine Learning specialization) from Georgia Tech. During my Master's degree, I worked in Prof. Dhruv Batra's lab on solving embodied mobile manipulation tasks. At Georgia Tech, I also had the privilege of being advised by Prof. Judy Hoffman on the problems of visual domain adaptation and bias identification.

Before coming to Georgia Tech, I earned my bachelor's degree in Computer Science and Engineering with a minor in Applied Statistics from IIT Bombay, where I worked on the problem of image inpainting under the supervision of Prof. Suyash Awate.

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News

  • [May 2025] Recognized as an Outstanding Reviewer for Computer Vision and Pattern Recognition (CVPR) 2025!

Publications

(*=equal contribution)

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

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
NeurIPS 2023
arXiv / code

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

FACTS: First Amplify Correlations and Then Slice to Discover Bias
Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman
ICCV 2023
arXiv / code

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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