Bio

I am a PhD student advised by Prof. William T. Freeman and Prof. Frédo Durand at the MIT Computer Science & Artificial Intelligence Laboratory. My current research is about self-supervised scene representation learning from videos. Previously, I have worked on non-line-of-sight imaging and generative models for computational photography. When not debugging my code, I enjoy playing guitar, clicking pictures, and reading books on psychology and neuroscience.

Publications

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What You Can Learn by Staring at a Blank Wall

ICCV 2021, Oral presentation

Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand

[Paper] [Project Page]
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Self-supervised Speckle Reduction GAN for Synthetic Aperture Radar

IEEE Radar Conference 2021

Michael Newey, Prafull Sharma

[Paper]
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Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

NeurIPS 2019

Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, William T. Freeman, and Frédo Durand

[Paper] [Project Page]
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On the Importance of Label Quality for Semantic Segmentation

CVPR 2018

Aleksandar Zlateski *, Ronnachai Jaroensri *, Prafull Sharma, Frédo Durand

[Paper]
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K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All.

NDSS 2018

Parimarjan Negi, Prafull Sharma, Vivek Jain, Bahman Bahmani

[Paper]