
I am a final year CS Ph.D. student at Georgia Tech, advised by Judy Hoffman. I'm interested in making deep visual models generalize across the infinite visual variation in the world: across viewpoints, time, space, and curation. My research has focused on improving such generalization at different stages of the ML lifecycle: proactive strategies that leverage simulation to augment the long-tail of real training data, as well as reactive strategies based on active learning and domain adaptation to recover from unforeseen spatio-temporal distribution shifts. Of late, I have focused on stress-testing visual models for deployment by leveraging foundation models for text and image synthesis to generate language-guided counterfactual images. My research has spanned diverse applications ranging from autonomous driving to medical diagnosis and algorithmic fairness.
I earned my Master's in CS (awarded the MS Research
award) in 2019 at Georgia Tech, where I was advised by Devi Parikh and worked on developing visual conversational agents.
In grad school, I've had the opportunity to intern at NVIDIA (with Sanja Fidler), Salesforce (with Nikhil Naik), and Curai (with Anitha Kannan). Before that, I've had stints as a research assistant at Virginia Tech (with
Dhruv Batra) and Adobe, and as a mentor for Google Summer of Code. I received my Bachelor's degree in Computer Science from BITS
Pilani in 2015.
In my free time, I enjoy reading, running, soccer, and playing the guitar.
News
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[Nov '23] Invited talk on ''Reliable Computer Vision'' at AWS Responsible AI.
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[Aug '23] Invited talks on ''Reliable Computer Vision'' at UC Berkeley and CMU.
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[Jan '23] Invited talk on ''Reliable Computer Vision'' at Machine Perception, Google Research.
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[Jun '22] Gave a tutorial on Human-Centered AI for Computer Vision at CVPR 2022.
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[May '22] Co-organizing Learning from Limited and Imperfect Data at ECCV 2022.
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[Oct '21] Recognized as an outstanding reviewer at NeurIPS 2021 and CVPR 2021.
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[Jan '21] Head TA for Intro to Computer Vision, Spring 2021.
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[May '19] Completed my Master's degree!
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[Mar '19] Awarded the College of Computing's MS Research award (1 student annually).
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Publications
Projects
Fabrik: An Online Collaborative Neural Network EditorReport Code |
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PyTorch implementation of Learning Cooperative Visual Dialog Agents with Deep Reinforcement LearningCode |
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Adobe Captivate Prime |
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Automated camera calibration |
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KeyframeCutDemo Blog |
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