I am a research scientist at Salesforce AI, where I work on developing techniques for reliable image understanding and generation. I received my PhD in Computer Science from Georgia Tech in December 2023, where I was advised by Judy Hoffman. The focus of my PhD was on making deep visual models generalize across the infinite visual variation in the world -- across viewpoints, time, space, and curation -- and proposed methods to improve such generalization at different stages of the ML lifecycle: proactive strategies in improving robustness by leveraging simulation and multimodal foundation models, as well as reactive strategies that leverage active learning and domain adaptation to recover from unforeseen spatio-temporal distribution shifts.
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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